-
1 system
1) система2) установка; устройство•- 2D design system
- 2-D draughting system
- 2D milling CAM system
- 3 nonsimultaneous axes control system
- 3D CAD system
- 3D design system
- 3D milling CAM system
- 3-D surface-modeling system
- 3-D system
- abrasive waterjet cutting system
- absolute control system
- absolute dimension measuring system
- accident-protection system
- accountancy system
- accounting data system
- ACO system
- acoustic feedback control system
- acquisition system
- active enclosure system
- adaptable system
- adaptive CNC system
- adaptive control constraint system
- adaptive control system
- adaptive pulsing system
- adaptive robot system
- add-on NC programming system
- administrative information data system
- administrative information system
- ADR system
- advanced command data system
- advanced data analysis system
- advanced data display system
- advanced display system
- advanced integrated data system
- advanced interactive debugging system
- advanced management information system
- advisory system
- AGV system
- air flotation system
- air-bearing system
- air-cooling system
- air-delivery system
- air-gaging system
- airlock system
- air-oil mist lubrication system
- air-plasma arc-profiling system
- air-purge system
- alarm system
- all-enveloping guard system
- analog computing system
- analog recording system
- angstrom-positioning system
- antideflection system
- antilock brake system
- antisag system
- application-specific system
- APT generating expert system
- Archimedes system
- array system
- AS/RS system
- assembly management system
- assembly system
- attitude display system
- autolube system
- automated communications and messages processing system
- automated design and optimization of control system
- automated design system
- automated digital design system
- automated industrial management system
- automated information data system
- automated information dissemination system
- automated information retrieval system
- automated inventory distribution system
- automated machining system
- automated management information system
- automated management system
- automated measuring system
- automated parts input-output system
- automated reliability and maintenance management system
- automated storage control system
- automatic alignment-and-centering system
- automatic call distribution system
- automatic CAM system
- automatic chuck-changing system
- automatic data acquisition system
- automatic data distribution system
- automatic data system
- automatic diagnostic-and-recovery system
- automatic display plotting system
- automatic distributive numerical control system
- automatic fixturing system
- automatic gaging-and-compensating system
- automatic measurement-and-compensation system
- automatic message accounting system
- automatic message distribution system
- automatic pallet storage/retrieval system
- automatic program transfer system
- automatic record evaluation system
- automatic telemetry system
- automatic test analysis system
- automatic test system
- automatic testing, evaluating and reporting system
- automatic tool cassette changer system
- automatic tool retraction system
- automatic tool retraction/correction/reentry system
- automatic tool wear/tool broken sensing system
- automatically taught system
- automation system
- autonomous system
- autopatch system
- AWS system
- axis drive system
- axis motor system
- axis-stopping system
- backlash-free friction system
- back-to-back system
- balance system
- balanced system of forces
- balanced system
- bar feed system
- bar pulling system
- bar pusher system
- barring coding system
- base coordinate system
- base data system
- base file system
- base operating information system
- basic disk operating system
- basic hole system
- basic input/output system
- basic NC system
- basic programming system
- basic shaft system
- batching system
- batch-machining system
- battery system
- BCC management information system
- beam delivery system
- belt turnover system
- belt twist system
- binary system
- binary vision system
- biped robotic system
- block-tool system
- block-type tool change system
- bonded stores system
- boring system
- bought-in control system
- brake system
- branch information system
- breakaway system
- breathing system
- broad system of ordering
- BTA deep-hole-drilling system
- BTA-style deep-hole-drilling system
- bug-free system
- building block system
- bulk system
- business information system
- buy-and-plug-in system
- C/C system
- cable and hose carrying system
- CAD access system
- CAD system
- CAD/CAM system
- CAD/CAM/CAE and product data management system
- CAD/CAM/CAE system
- CAD/CAPP/CAM system
- CADAR system
- CAD-integrating system
- CAD-only system
- CAE system
- CAE/CAD/CAM system
- CAG system
- CAM system
- cam-and-lever system
- capacitance-based measuring system
- CAPP system
- capture system
- carrierband system
- cart/pallet transfer system
- Cartesian coordinate system
- cassette jaw-change system
- cell control system
- cell management system
- cell-type system
- cellular manufacturing system
- central analog data distributing and controlling system
- central automatic message accounting system
- central storage system
- centralized control system
- centralized coolant and extractor system
- centralized swarf conveying system
- centralized swarf removal system
- chain conveyor system
- check system
- checking system
- checkout system
- chiller system
- chip conveyor system
- chip guard system
- chip-evacuation system
- chuck/chuck jaw changing system
- chucking system
- chuck-jaw system
- chuck-loading system
- CIM system
- circular monitoring system
- circular part-processing system
- circulating lubrication system
- circulating oil system
- circulation system
- clamping system
- closed cooling system
- closed loop control system
- closed loop machine control system
- closed loop size control system
- closed loop system
- closed-proprietary system
- CM system
- CNC hardware system
- CNC machine tool system
- CNC programming system
- CNC system
- CNC transfer system
- CNC-ACC system
- CNC-control system
- coherent system of units
- collecting system
- collet pad top jaw system
- combined cooling system
- combined production system
- command-line NC system
- commercial vision system
- communication system
- companion system
- comprehensive power measurement system
- computer analysis and design system
- computer automation real-time operating system
- computer data communication system
- computer NC system
- computer system
- computer vision system
- computer-aided design support system
- computer-aided dispatch system
- computer-aided gaging system
- computer-aided programming system
- computer-aided telemetry system
- computer-aided test system
- computer-assisted command system
- computer-assisted message processing system
- computer-assisted microfilm retrieval system
- computer-assisted operation sequence planning system
- computer-automated machine-tool system
- computer-automated test system
- computer-based management system
- computer-based message system
- computer-controlled materials-handling system
- computer-controlled system
- computer-coordinated measuring system
- computer-directed swing-arm tool-changing system
- computer-driven control system
- computer-hosted manufacturing system
- computer-integrated manufacturing system
- computer-integrated system
- computerized information retrieval system
- computerized machine control system
- computerized manufacturing system
- computerized numerical control system
- computerized production control system
- computerized shopfloor data collection system
- computer-oriented production management system
- computer-oriented system
- computing system
- concurrent force system
- conductor system
- conservative system
- constant delivery system
- constant volume system
- constant-contact scanning system
- constraint satisfaction system
- continuous feedback control system
- continuous flow system
- continuous-path CNC system
- continuous-path control system
- contouring control system
- contouring system
- controlled path system
- controlling system
- conventional ACC system
- conversational analysis and drafting system
- conveying system
- conveyor system
- conveyoring system
- conveyorized work-handling system
- coolant clarification system
- coolant laundering system
- coolant mist system
- coolant recirculating system
- coolant recovery system
- coolant recycling system
- coolant supply system
- coolant-circulating system
- coolant-thru-body system
- cooling system
- coordinate drive system
- coordinate system
- coprocessor board system
- copymill control system
- corporate information and office system
- coupling system
- CPS system
- CRT control system
- CRT system
- customer-oriented system
- customized FMS control system
- cut-piece transfer system
- cycloidal tooth system
- data base management system
- data communication system
- data control system
- data input management system
- data management system
- data origination system
- data processing system
- data retrieval system
- data transfer system
- datum system for geometrical tolerancing
- datum system
- DDM system
- decentralized DNC system
- decision enabling system
- decision support system
- dedicated production system
- deep-hole-drilling system
- defect-free machining system
- delivery system
- demand pull flexible system
- demand push flexible system
- departmental management system
- descaling system
- design coordinate system
- design support system
- design-automation system
- design-for-manufacturing system
- design-with-feature system
- desk-top publishing system
- deterministic system
- dexel-based system
- diagnostic communication control system
- diagnostic computer control system
- dialog system
- diamond-lapping system
- digital readout system
- digitizing system
- digitizing/data capture system
- dimensional verification system
- direct impingement starting system
- direct lubrication system
- direct NC system
- discrete-continuous system
- dispatcher system
- distributed computer system
- distributed mass-spring system
- distributed microprocessor system
- distributed processing system
- distributed quality system
- distributed system
- distributive numerical control system
- DNC flexible machining system
- DNC machine control system
- DNC machine tool control system
- DNC system
- DNC/FM system
- document processing system
- document retrieval system
- document search system
- domain-expert system
- Doppler system
- DOS CAM system
- double tube system
- dowel pin system
- DRO system
- drop-feed-lubrication system
- DTP system
- dual laser optical system
- dual laser referencing system
- dual system
- dual-beam LDDM system
- dual-pallet shuttle system
- dual-shaft electric propulsion system
- dynamic beam focusing laser system
- dynamic data system
- dynamic mapping system
- early warning system
- eddy current damper system
- edge-sensing system
- edge-type positioning system
- eight-station pallet system
- electrical contact tracing system
- electrofluidic control system
- emergency protection system
- enclosure system
- encoder checking system
- endpoint locating system
- energy-adaptive system
- energy-saving drive system
- engine starting system
- entry-level NC system
- environmental control system
- equivalent rigid link system
- equivalent systems of forces
- ESD system
- estimating system
- example-driven system
- expert control system
- expert process planning system
- expert system
- external box system
- extractor system
- fact retrieval system
- factory automation system
- fault detection system
- fault-signal system
- FBG system
- feasibility routing system
- feature-based CAM system
- feature-based system
- feed system
- feedback control system
- feedback gaging system
- feedback position control system
- feedback system
- feed-drive system
- feedforward compensatory control system
- feed-only AC system
- feed-overriding system
- FFS system
- file control system
- finite capacity scheduling system
- fixed coordinate system
- fixed-feature NC system
- fixed-rail system
- fixture design system
- fixture system
- fixturing system
- flanged pipe system
- flexible assembly system
- flexible automated manufacturing system
- flexible automation system
- flexible computer-controlled robotic system
- flexible fabricating system
- flexible fixturing system
- flexible handling system
- flexible laser optical system
- flexible laser system
- flexible lathe system
- flexible machine system
- flexible machining center system
- flexible machining system
- flexible manufacturing system
- flexible NC system
- flexible press system
- flexible tooling system
- flexible transfer system
- flexible turning system
- flood coolant system
- flow-line production system
- flow-type manufacturing system
- fluid management system
- fluid power system
- flush-type cooling system
- fly system
- FMS operating system
- FMS/CAD/CAM system
- FMS-type production system
- force measurement system
- force sensory system
- force system
- force-sensing system
- forecasting system
- four-station pallet system
- four-tier quality system
- FROG navigation system
- FROG system
- full-blown system
- fully specified system
- gage system
- gaging computer system
- gaging-and-compensating system
- gantry loading system
- gantry-based turning system
- gantry-style motion system
- gas-turbine starting system
- gating system
- gear roller system
- gear system
- gear testing system
- general information retrieval system
- generative planning system
- generic control system
- generic messaging system
- generic system
- glass fiber system
- glazing system
- goal-seeking system
- graphic numerical control system
- graphic processing system
- graphics system
- graphics-oriented system
- grating measuring system
- gravity oil system
- gray scale imaging system
- grinder vision system
- group control system
- guarding system
- guidance system
- guiding system
- handling system
- handwriting-input system
- hard-automated system
- hardware NC system
- hardware support system
- head change system
- head changer system
- head-changing flexible manufacturing system
- help system
- hierarchical coding system
- hierarchical control system
- hierarchical information control system
- high-noise-immunity system
- high-rise system
- high-speed positioning system
- high-speed-processor control system
- high-volume system
- Hirth gear-tooth system
- holding system
- holding tool system
- hole system
- holonomic system
- host computer-assisted programming system
- host distributive numerical control system
- hybrid computing system
- hydraulic oil system
- hydraulic system
- hydraulic-circuit system
- hypertext system
- ID system
- IDNC system
- illumination system
- image detection system
- image processing system
- imaging system
- IMC system
- immersion-washing system
- inconsistent system of equations
- incremental measuring system
- index system
- indirect lubrication system
- individual lubrication system
- inductive telemetry system
- inductively guided cart system
- industrial vision system
- in-feed system
- inference system
- in-floor chip-disposal system
- information infrastructure system
- information logical system
- information processing system
- information storage and retrieval system
- information system
- information-gathering system
- information-management system
- information-sharing system
- infrared imaging system
- infrared system
- in-house minicomputer system
- in-house system
- inlet control system
- in-process gaging system
- in-process sensing system
- in-process storage system
- insert-selection system
- instrumentation system
- insulating system
- integral movement monitoring system
- integrated CAD/CAPP/CAM system
- integrated CAM system
- integrated circuit numerical control system
- integrated computer system
- integrated information system
- integrated machine system
- integrated machining system
- integrated manufacturing and assembly system
- integrated manufacturing system
- integrated NC machine system
- integrated production system
- integrated sensor system
- intelligent control system
- interactive control system
- interactive graphics processing system
- interactive manufacturing control system
- interconnection system
- interdepartmental communication system
- interferometer measuring system
- interlocking system
- interrupt-driven system
- inventory-management system
- involute tooth system
- IR fault-signal system
- IR system
- ISO system of limits and tolerances
- isolated word recognition system
- jig boring measuring system
- job shop-type flexible system
- joint-actuation system
- just-in-time production system
- kanban pull system
- kinetic control system
- kitting system
- knowledge base management system
- knowledge system
- knowledge-based information system
- knowledge-based system
- krypton laser system
- labeling system
- labor-intensive system
- language-based NC system
- laser beam orientation system
- laser beam positioning system
- laser calibration system
- laser combination energy system
- laser digitizing system
- laser driving system
- laser full automated system
- laser inspection system
- laser interferometer measuring system
- laser machining system
- laser metalworking system
- laser micrometer system
- laser monitoring system
- laser mount system
- laser optical transformation system
- laser pulse power system
- laser pump system
- laser referencing system
- laser thread measurement system
- laser transducer system
- laser-cutting system
- laser-gaging system
- layered control system
- LDDM system
- lead screw drive system
- learning system
- library reference system
- library system
- light guide system
- light recognition system
- line motion control system
- line motion system
- line path system
- linear index system
- linear system of constant coefficients
- linear time invariant system
- linear time-varying system
- linear-encoder-equipped system
- LMFC system
- load/unload system
- loading robot system
- load-monitoring system
- local communications system
- logistics system
- look-up table system
- low-loss optical system
- low-volume lubricant delivery system
- lube system
- lubrication system with continuous delivery
- lubrication system with cyclic delivery
- lubrication system with performance control
- lubrication system without performance control
- lubrication system
- M system
- machine control system
- machine coordinate system
- machine health-monitoring system
- machine management system
- machine surveillance system
- machine tool capability-conditioning system
- machine tool system
- machine vision system
- machine/control system
- machine/tool/workpiece system
- machine-flexible system
- machine-zero reference system
- machining-cell system
- magnetic control system
- magnetic shaft suspension system
- main control system
- maintenance tracking system
- make-up system
- management control system
- management information system
- management system
- management-and-manufacturing system
- managerial reporting system
- man-computer system
- man-machine system
- man-plus-machine system
- manual data input system
- manual programming system
- manufacturing execution system
- manufacturing optimization system
- manufacturing software system
- manufacturing system
- many-degrees-of-freedom system
- many-variable system
- mass-elastic system
- master manufacturing control system
- master-slave control system
- material flow system
- material movement system
- material storage system
- materials-handling control system
- materials-handling system
- matrix array system
- matrix-type system
- MDI contouring control system
- MDI control system
- MDI NC system
- mean line system
- measurement/inspection system
- measuring coordinate system
- measuring system
- measuring/compensation system
- mechanical interface coordinate system
- memory NC system
- memory system
- menu drive system
- menu system
- menu-driven programming system
- metalforming production system with robots
- metalworking laser system
- metamorphic system
- metareasoning system
- metering system
- metrology system
- MIC system
- micro CAD/CAM programming system
- microadjustment system
- microchip-managed control system
- microdispensing system
- microintegrated system
- microload system
- micropackaged distributed system
- microprocessor based system
- microprocessor CNC system
- microprocessor system
- microprocessor-development system
- microstep control system
- microwave drill detection system
- milling CAM system
- milling system
- minicomputer-based numerical control system
- minicomputer-based system
- minicomputer-based test system
- miniload automated storage and retrieval system
- miniload system
- minimal constraint system
- minimum phase shift system
- mist-cooling system
- mixed forging-machining system
- mobility system
- model reference adaptive system
- moderately sized manufacturing system
- modular clamping system
- modular component tooling system
- modular fixture system
- modular holding system
- modular system
- modular tooling system
- modular work holding system
- monitoring system
- monorail material handling system
- motor position sensing system
- mounting system
- MPM system
- MRC system
- MRP system
- MS-DOS system
- multiaxis laser system
- multimachine system
- multimedia system
- multinetwork system
- multipallet system
- multiple computer system
- multiple laser technology system
- multiple pallet changer system
- multiple pallet handling system
- multiple parts feeding system
- multiple sensory system
- multiple spindle head handling-and-changing system
- multiple system of indexing
- multiple-gun spraying system
- multipoint lubrication system
- multipoint network control system
- multiprocessing system
- multiprocessor NC system
- multiprocessor system
- multiproduct manufacturing system
- multiprofile tool system
- multiprogramming system
- multirobot system
- multisensor system
- multiserver queueing system
- multistage system
- multitasking control system
- multiterminal system
- multiuser system
- multivendor information system
- multiwindowing software system
- Nagare system
- narrowly defined expert system
- national information system
- navigation system
- NC contouring system
- NC machine system
- NC part-programming system
- NC system
- NC tooling system
- NC/TP system
- nesting system
- network computer system
- network switching system
- network system
- noise diagnostic system
- noncircular copy-turning system
- noncompensated system
- noncontact laser marking system
- noncontact microwave system
- nonexpert system
- non-NC system
- numerical computer control system
- numerical contour control system
- numerical control system
- numerically controlled tool point system
- object-oriented system
- office system
- office-based programming system
- off-line adviser-type expert system
- off-line programming system
- off-line system
- off-the-shelf system
- oil mist system
- oil scavenge system
- oil system
- oil wash system
- oil-recirculating system
- oligarchical manufacturing system
- OLP system
- one man/one machine system
- one man-one operation-one job system
- one-machine flexible system
- one-piece tape spar-measuring system
- one-shot lubrication system
- on-line information system
- on-line process system
- on-line retrieval system
- on-line system
- on-line tool control system
- on-machine gaging system
- on-machine probing system
- on-off control system
- open architecture system
- open cooling system
- open system
- open-front system
- open-loop control system
- operating system
- operational system
- operator guidance system
- operator-controlled NC system
- optical detection system
- optical laser ranging system
- optical MAP system
- optical measurement/inspection system
- optical recognition system
- optical system for laser processing
- optical tracer backup system
- optical transmission system
- opti-feed system
- optimal-position control system
- order-driven system
- order-entry system
- order-picking system
- oscillating system
- oscillatory system
- out-feed system
- output collecting system
- overall system
- p.-t.-p. NC system
- package confinement system
- paging system
- pallet conveyor system
- pallet gripper system
- pallet ID system
- pallet storage system
- pallet storage/changer system
- pallet/platen transfer system
- pallet/robot flexible-machining system
- pallet-based materials handling system
- pallet-based system
- pallet-changer system
- pallet-coding system
- pallet-handling system
- palletized tool magazine system
- pallet-loading system
- pallet-moving system
- pallet-shuttle change system
- pallet-transfer system
- pallet-transport system
- paperless NC system
- parallel force system
- parallel lubrication system
- parametric CNC system
- part flow system
- part handling-and-storage system
- part program-editing system
- part queue system
- part-conveying system
- partial laser system
- part-programming system
- part-retrieval system
- passively mode-locked laser system
- path control system of a machine
- path control system
- pattern recognition system
- pattern tracing system
- pattern-directed system
- PC system
- PC-based CAD system
- PC-based vision system
- pendant-mounted CNC system
- perceptual system
- permanent electro system
- personal computer-based robotic vision system
- phase switching control system
- photogrammetric vision system
- photooptic tracing system
- photooptical tracing system
- piece rate system
- plane system of forces
- planner-oriented system
- plant-integration system
- platen system
- platform-independent CAM system
- playback system
- plugboard control system
- plugboard programming system
- point-to-point system
- popular laser system
- position control system
- positioning control system
- postprocess inspection system
- postprocess system
- postprocess-feedback gaging system
- potentiometer-setting system
- power generating system
- power system
- powered clamping system
- powered track system
- powerful robot system
- precision positioning system
- predictive machinability system
- predictive maintenance system
- pre-emptive system
- pregaging system
- preload system
- preset tooling system
- presetting system
- prismatic flexible manufacturing system
- prismatic machining system
- probe communication system
- problem-oriented information system
- process planning system
- process-flexible system
- production control system
- production expert system
- production-monitoring system
- productions system
- product-testing system
- programmable automation system
- programmable control system
- programmable logic control system
- programmable power monitoring system
- programmed sequence control system
- programming system
- proof-of-concept system
- proprietary NC system
- propulsion system
- propulsive system
- protection system
- prototype system
- prototyping system
- pull system of production
- pull system
- punch tape NC system
- purpose-made materials feeding system
- push system
- qualitative system
- quality control system
- quality system
- quantity produced systems
- question-and-answer system
- question-answering system
- queuing system
- quick-change system
- quick-change workpiece-fixturing system
- quick-change-cutter system
- rack system
- rack-picking system
- rail-borne robotic handling system
- rail-guided transport system
- random mission system
- random mix system
- random order system
- ranging system
- readout system
- ready-to-go system
- real-time vision system
- recirculation system
- rectangular coordinate system
- rectangular triordinate system
- reeving system
- reference retrieval system
- reference system
- reflecting high-power beam optical system
- register system
- registration system
- relay ladder logic system
- reporting system
- reprographic system
- resolver system
- restraint system
- RETIC system
- retrieval system
- retrofit system
- return spring system
- RGV pallet delivery system
- rigid track workpiece transport system
- rigid transfer system
- robot control system
- robot gantry storage-and-retrieval system
- robot learning system
- robot parts-handling system
- robot system
- robot teaching system
- robot tool changing system
- robot-based turning system
- robotic system
- robotic vision system
- robotics CAD system
- robotized metalforming system
- robot-like inspection system
- robot-measuring system
- rod memory system
- roller system
- roll-generating system
- rotary transfer system
- rotary-type tool-mounting system
- rotational system
- routing-flexible system
- rule-based expert system
- running fail-safe system
- running system
- run-time system
- safety actuation system
- safety system
- scale back system
- seam tracking laser processing system
- seam-tracking system
- security system
- selective assembly system
- selective control system
- self-adapting system
- self-contained starting system
- self-contained system
- self-monitoring measuring system
- self-optimizing adaptive control system
- self-programming NC system
- self-teaching system
- self-test system
- sensing system
- sensor system
- sensor-based system
- sensory control system
- sensory feedback system
- sensory interactive system
- sensory-processing system
- sentence recognition system
- sequencing control system
- sequential control system
- series lubrication system
- service system
- servo control system
- servo drive system
- servo positioning system
- servo transducer system
- servo-controlled blade-feed-pressure system
- setting system
- SFP system
- shaft system
- shared tools system
- shopfloor communication message system
- shopfloor part-programming system
- shopfloor programming system
- shopfloor-programming control system
- short-closed oil system
- shuttle car system
- shuttle system
- shuttle-type container system
- side-loading pallet system
- sign system
- signature-analysis system
- silhouetting system
- single system
- single-board computer system
- single-cell system
- single-line lubrication system
- single-point lubrication system
- single-stage system
- single-tube system
- single-unit machining system
- single-variable system
- sinking system
- six-station pallet system
- size-monitoring system
- skidless system
- skid-type system
- small knowledge system
- small scale system
- small-batch manufacturing system
- sociotechnical system
- software-based system
- software-operating system
- solid model CAD system
- solid modeling system
- solids-based system
- sonic digitizing system
- space-monitoring sensor system
- special-purpose CNC system
- special-purpose material handling system
- speech-understanding system
- spindle airblast system
- spindle-probe system
- splash lubrication system
- split-type of tooling system
- spray lubrication system
- sprocket-chain system
- stabilization system
- stabilizing system
- stacking system
- stand-alone system
- standard control system
- standard unit system
- starting system
- statistical process control system
- steady-state system
- stepping motor drive system
- stocker system
- stocking system
- stop-bolt locking system
- storage system
- storage-and-retrieval system
- storage-retrieval system
- straight cut control system
- straight-line control system
- stress calculations infinite element system
- structurally stable system
- structurally unstable system
- stub-tooth system
- subloop system
- supervision system
- supervisory computer control system
- supervisory control system
- surface-measurement system
- surveillance system
- suspension system
- swarf conveyance system
- swarf-management system
- swarf-removal system
- switching system
- synthetic vision system
- system of dimensioning
- system of forces
- system of limits and fits
- system of quantities
- system of the machine retaining devices
- system of units
- tactile sensing system
- tailored NC system
- tailor-made system
- tape-oriented system
- target system
- teach system
- teachable-logic control system
- teaching system
- teach-mode programming system
- technology-intensive system
- telecommunication system
- telemetry gage system
- telemetry system
- teleoperated system
- telepresence system
- telerobotic system
- ten-station pallet system
- term system
- test system
- testing system
- text organizing system
- thermal control system
- thermal enclosure system
- thermal propulsion system
- thread measurement system
- thread measuring system
- three-dimensional CAM system
- three-dimensional coordinate system
- three-wire thread measuring system
- through feed system
- through-the-tool system
- time control system
- time cycle system
- time-shared system
- time-sharing NC programming system
- time-sharing system
- tool animation system
- tool breakage prevention system
- tool change system
- tool condition monitoring system
- tool coolant system
- tool deflection calibration system
- tool identification tag system
- tool life control system
- tool life management system
- tool magazine exchanger system
- tool management system
- tool position-compensating system
- tool shank cleaning system
- tool storage and transport system
- tool storage/management system
- tool-associated system
- tool-clamp system
- tool-holder-work system
- tool-ID system
- tooling AGV system
- tooling system
- tool-in-hand system
- tool-in-use system
- tool-machine system
- tool-monitoring system
- tool-mounting system
- tool-presetting system
- tool-probing system
- tool-to-turret connection system
- tool-transfer system
- torque-monitoring system
- total system
- total-loss lubrication system
- touch-probe digitizer system
- touch-probe digitizing system
- touch-probe system
- towline cart system
- towline conveyor system
- towline handling system
- towline material handling system
- towline transfer system
- tracer control system
- tracing system
- track system
- tracking/scheduling system
- track-monitoring system
- transfer system
- translating system
- transmission system
- transporter system
- traverse-metering system
- tray-type transfer system
- triangulation system
- tribomechanical system
- tri-level stocker system
- triordinate system
- trolley control system
- trouble-free control system
- T-slot system
- tuned system
- turning system
- turning-and-chucking system
- turnkey computer control system
- turnkey system
- turret probing system
- turret tooling system
- two-line lubrication system
- two-machine system
- two-pallet exchange system
- two-shift system
- two-tier inspection system
- unattended machining system
- unattended production system
- uncertain system
- unified system
- unit bore system
- unit system
- unit-build system
- unit-load automated storage and retrieval system
- unit-load system
- UNIX-based 32-bit computer system
- unmonitored control system
- unstable system
- user identification system
- user's CAD system
- V coding system
- vacuum system
- variable pallet system
- variable-coefficient system
- variable-gain ACC system
- variable-mission system
- versatile data acquisition system
- vertical carousel system
- vertical rotating warehouse system
- vibration system
- vibratory system
- video measuring system
- video-based measurement system
- viewing system
- virtual design system
- virtual storage system
- vision guidance system
- vision metrology system
- vision optical system
- vision sensor system
- vision system
- vision tool-presetting system
- vision-based inspection system
- vision-based system
- visual computing system
- visual inspection system
- VME-based system
- voice data entry system
- voice system
- voice-input system
- volume-flexible system
- volume-metric lubrication system
- voluntary standards system
- warehousing system
- warning protection system
- warning system
- wash system
- waste material treatment system
- watchdog system
- waterjet system
- way-lubrication system
- wedge-locked tool clamping system
- wheelhead-measuring system
- windowing system
- wire-cut system
- wire-frame CAD system
- wire-guided transport system
- wire-guided trolley routing system
- word recognition system
- work infeed system
- work transfer system
- work transport system
- workhandling system
- work-holding system
- workpiece-cleaning system
- workstation-oriented CNC system
- zero error position systemEnglish-Russian dictionary of mechanical engineering and automation > system
-
2 system
1) система || системный3) вчт операционная система; программа-супервизор5) вчт большая программа6) метод; способ; алгоритм•system halted — "система остановлена" ( экранное сообщение об остановке компьютера при наличии серьёзной ошибки)
- CPsystem- H-system- h-system- hydrogen-air/lead battery hybrid system- Ksystem- Lsystem- L*a*b* system- master/slave computer system- p-system- y-system- Δ-system -
3 system
1) система || системный2) система; установка; устройство; комплекс3) программа•- adaptive control system
- address selection system
- addressing system
- advice-giving system
- AI planning system
- AI system
- analog computing system
- analog-digital computing system
- analysis information system
- application system
- arabic number system
- arithmetic system
- assembly system
- asymmetrical system
- atomic system
- attached processor system
- audio system
- authoring system
- automated office system
- automatic block system
- automatic checkout system
- automatic control system
- automatic search system
- automatic test system
- automatically programmed system
- automatically taught system
- autoprogrammable system
- axiomatic system
- backup system
- bad system
- bang-bang system
- base-2 system
- basic system
- batch-processing system
- binary system
- binary-coded decimal system
- binary-number system
- biquinary system
- bit-mapped system
- bit-slice system
- black-board expert system
- block parity system
- buddy system
- business system
- bus-oriented system
- bussed system
- CAD system
- call-reply system
- carrier system
- cause-controlled system
- character recognition system
- character-reading system
- chargeback system
- check sum error-detecting system
- chip-layout system
- clock system
- closed loop system
- closed system
- co-authoring system
- code recognition system
- code system
- coded-decimal system
- code-dependent system
- code-insensitive system
- code-sensitive system
- code-transparent system
- coding system
- coincident selection system
- cold system
- color-coded system
- command system
- common-bus system
- communication data system
- communications-oriented system
- complete articulated system
- computer system
- computer-aided design system
- computer-aided system
- computer-based system
- computer-based weapon system
- computerized system
- computing system
- concatenated coding system
- concealment system
- conservative system
- contention system
- continuous presence system
- control system
- controlled system
- controlling system
- coordinate system
- cordonnier system
- costrained vision system
- cross system
- crossbar switch system
- data acquisition system
- data collection system
- data exchange system
- data flow system
- data gethering system
- data handling system
- data management system
- data preparation system
- data processing system
- data reduction system
- data retrieval system
- data storage system
- data system
- data transmission system
- database management system
- database support system
- data-managed system
- decimal number system
- decimal system
- decimal numeration system
- decision support system
- decision-aided system
- decision-making system
- decision-support system
- decision-taking system
- decoding selection system
- decomposable system
- dedicated system
- degenerate system
- design library support system
- design-automation system
- design-verification system
- development support system
- development system
- digital communication system
- digital computing system
- direct-current system
- directly coupled system
- discrete system
- discrete-continuous system
- disk operating system
- display system
- distributed database management system
- distributed function system
- distributed intelligence system
- distributed parameter system
- distributed system
- distribution system
- double intermediate tape system
- down system
- drafting system
- dual system
- dual-computer system
- dual-processor system
- duodecimal number system
- duodecimal system
- duotricenary number system
- duotricenary system
- duplexed computer system
- duplex computer system
- dyadic number system
- dyadic system
- dynamic mapping system
- dynamic scene system
- dynamic support system
- electronic data processing system
- electronic sorting system
- encoding system
- equipment adapted data system
- erasing system
- error-controlled system
- error-correcting system
- error-detecting system
- executive file-control system
- executive system
- expert control system
- expert support system
- expert system
- expert-planning system
- externally pulsed system
- fail-safe system
- fail-soft system
- fan-out system
- fault-tolerant system
- feasible system
- federated system
- feed system
- feedback system
- feedforward control system
- fiche retrieval system
- file control system
- file system
- fixed-lenght record system
- fixed-point system
- fixed-radix numeration system
- floating-point system
- fluid transport system
- follow-up system
- forgiving system
- front-end system
- fuzzy expert system
- generic expert system
- geographically distributed system
- goal-seeking system
- good system
- graceful degradation system
- graphic data system
- graphics display system
- graphics system
- help system
- heterogeneous system
- hexadecimal number system
- hexadecimal system - host system
- hostless system
- host-satellite system
- human visual system
- hunting system
- hypermedia system
- imaging system
- incremental system
- independent system
- indirectly coupled system
- information storage and retrieval system
- information retrieval system
- information handling system
- information management system
- information processing system
- information system
- information-feedback system
- in-plant system
- input/output control system
- instruction system
- instrumentation management system
- integrated system
- intelligence system
- interactive control system
- interactive system
- intercommunicating system
- interlock system
- internal number system
- internal system
- Internet-enabled system
- interrupt system
- isolated system
- kernel system
- key-to-disk/tape system
- knowledge base management system
- knowledge system
- knowledge-based system
- large-scale computing system
- laser communication system
- layered control system - lexicon-driven system
- library reference system
- local-network system
- long-haul system
- lumped-parameter system
- machine tool control system
- machine-limited system
- machine-oriented programming system
- macroinstruction system
- macro system
- magnetic memory system
- magnetic recording system
- magnetic tape plotting system
- mail message system
- mail system
- mailbox system
- management information system
- man-machine system
- mapping system
- map-reading system
- mass memory system
- mass storage system
- master/slave system
- matrix memory system
- memory driver system
- memory system
- message handling system
- message system
- microcomputer system
- microfilm printing system
- midsplit system
- MIMO system
- mixed-base numbering system
- mixed-base number system
- mixed-radix numeration system
- model-based expert system
- modular system
- monitoring system
- monitor system
- mosaic system - multicomputer system
- multidimensional system
- multifrequency system
- multilevel storage system
- multiloop system
- multimaster communication system
- multimicroprocessor system
- multiple computation system
- multiple-bus system
- multiple-coincident magnetic storage system
- multiple-output control system
- multiplex system
- multiport system
- multiprocessing system
- multiprocessor system
- multiprogramming computer system
- multiprogramming system
- multisite system
- multispeaker system
- multistable system
- multitasking operating system
- multiterminal system
- multiuser computer system
- multiuser system
- multiuser operating system
- multivariable system
- multivariate system
- negative-base number representation system
- negative-base number system
- network operating system
- node-replicated system
- noncomputerized system
- nonconsistently based number system
- nondegenerate system
- number representation system
- numbering system
- number system
- numeral system
- numeration system
- numerical system
- octal number system
- octal system
- office automation system
- off-line system
- on-demand system
- one-level storage system
- one-loop system
- one-over-one address system
- on-line system
- open-ended system
- open system
- open-loop system
- operating system
- operational system
- optical memory system
- overdetermined system
- overload-hold system
- page-on-demand system
- panelboard system
- paper-tape system
- parameter-driven expert system
- pattern recognition system
- peek-a-boo system
- peripheral system
- pipeline system
- polled system
- polymorphic system
- polyphase system
- portable system
- positional representation system
- Post-production system
- priority scheduling system
- priority system
- procedural expert system
- process control system
- processor-sharing system
- production control system
- production system
- program system
- programming system
- protection system
- pulse system
- pulse-or-no-pulse system
- pulse-signal system
- punch card computer system
- pure-binary numeration system
- purposeful system
- quadruplex system
- question-answering system
- queueing system
- queue system
- radix numbering system
- radix number system
- reactive system
- reading system
- real-time expert system
- real-time operating system
- real-time system
- reasoning system
- recognition system
- recording system
- recovery system
- reduntant number system
- reduntant system
- reflected binary number system
- reflected binary system
- refreshment system
- remote-access system
- replicating system
- representation system
- request-repeat system
- rerecording system
- residue number system
- residue system
- resource-sharing system
- restorable system
- retrieval system
- retrieval-only system - robotic system
- robot system
- rule-based expert system
- rule-based system
- scalable system
- selection system
- self-adapting system
- self-adjusting system
- self-aligning system
- self-balancing system
- self-check system
- self-contained system
- self-correcting system
- self-descriptive system
- self-learning system
- self-organizing system
- self-sustained oscillation system
- self-test system
- sensor-based system
- sequential scheduling system
- sexadecimal number system
- sexadecimal system
- shared-files system
- shell expert system
- silicon-development system
- simplex system
- single-drive system
- single-inheritance system
- single-phase clock system
- single-site system
- single-user computer system
- SISO system
- skeletal expert system
- slave system
- soft-sectored disk system
- software system
- sound system
- source code control system
- source-destination system
- space-division system
- stabilizing system
- stable system
- stand-alone system
- start-stop system
- state-determined system
- stepped start-stop system
- stereo system
- stochastically disturbed system
- storage system
- stripped-down expert system
- subsplit system
- supervisor control system
- switching system
- symbolic assembly system
- syntactical system
- system explanation system
- system of logic
- system of notation
- system with delay
- system with time lag
- tabulating system
- tape data processing system
- tape drive system
- tape handling system
- tape operating system
- tape plotting system
- tape resident system
- tape-oriented system
- target system
- taught system
- telecommunictions system
- telecontrol system
- terminal system
- ternary number system
- ternary system
- test system
- testbed system
- text-to-speech system
- time-division system
- time-pattern control system
- time-shared system
- time-shared-bus system
- time-sharing system
- timing system
- total system
- translating system
- translation system
- translator writing system
- transmitting system
- tree-structured system
- trusted computer system
- two-failure mode system
- two-level return system
- two-level system
- two-phase clock system
- ultrastable system
- Unified system
- uninterruptible power system
- uniprocessor system
- unrestorable system
- unstable system
- up system
- variable-lenght record system
- virtual system
- virtual-memory operating system
- vision system
- visual system
- voice/audio processing system
- voice-response system
- volunteer system
- weighted number system
- weighted system
- writing system
- xerox copy system
- zero-one systemEnglish-Russian dictionary of computer science and programming > system
-
4 system
[ˈsɪstɪm]accept system система акцептования accounting information system вчт. бухгалтерская информационная система accounting system система бухгалтерского учета accounting system система счетов adaptive system вчт. адаптивная система administrative system административная система alarm system система сигнализации analysis system система анализа application visualization system вчт. прикладная система изображения asset quality rating system система квалификации активов asymptotically stable system асимптотически устойчивая система automated control system асу, автоматизированная система управления axiomatic system аксиоматическая система backup system вчт. дублирующая система banking system банковская система belief system система доверия bicameral system двухпалатная система bicameral system парл. двухпалатная система bipartite system парл. двухпартийная система block system =blocking bonus system премиальная система buddy system метод близнецов bulk-service system система с групповым обслуживанием business system экономическая система cad system вчт. система автоматизированного проектирования call-reply system вчт. запрсно-ответная система certification system система сертификации closed queueing system замкнутая система массового обслуживания closed system замкнутая система code-dependent system вчт. система зависящая от данных code-independent system вчт. система не зависящая от данных code-insensitive system вчт. система не зависящая от данных code-sensitive system вчт. система зависящая от данных code-transparent system вчт. система не зависящая от данных coinage system монетная система column system система бухгалтерского учета по колонкам commission system система комиссионных вознаграждений computer system вычислительная система computer system вчт. вычислительная система computer system вычислительный комплекс computer system система вычислительных машин computer-aided control system автоматизированная система управления computer-to-plate system система создания печатных форм на компьютере computerized information system информационная система на базе ЭВМ concealment system система маскировки concession system система концессий constrained system вчт. система с ограничениями consulting system вчт. консультирующая система control system система управления control system вчт. система управления cooperative system система кооперации cooptation system система кооптации costing system система калькуляции себестоимости court system судебная система, система судопроизводства credit system кредитная система criminal reestablishment system система восстановления личности преступника crisis alert system система предупреждения о кризисе cross system вчт. кросс-система cyclical response system вчт. система циклических реакций data base management system вчт. система управления базой данных data handling system вчт. система обработки данных data processing system вчт. система обработки данных data system вчт. информационная система database system вчт. система баз данных decimal system десятичная система dedicated system специализированная система deductive system дедуктивная система delay system система с ожиданием desktop system система непосредственного взаимодействия direct debit system система прямого дебета direct system целевая система directional system система управления disk operating system вчт. дисковая операционная система, ДОС distributed file system вчт. распределенная файловая система distributed system вчт. распределенная система distribution system система распределения distributive system распределительная система DP system (data processing system) система обработки данных dynamic system динамическая система educational system система образования educational system система обучения election system избирательная система electronic book-entry system вчт. электронная система бухгалтерского учета electronic full-page makeup system вчт. электронная система верстки полос enclave system анклавная группа; полузащищенная группа (работающих под специальным наблюдением в обычных рабочих условиях инвалидов) equilibrium system равновесная система evolutionary system развиваемая система executive system вчт. операционная система expand a system вчт. расширять комплект оборудования системы expert system вчт. экспертная система explanatory system вчт. система объяснений fail-soft system вчт. система с амортизацией отказов federal system федеральная система fee system система вознаграждений feedback system система с обратной связью file system вчт. файловая система filing system система регистрации документов filing system система хранения документов financial system финансовая система fiscal system система финансов fixed price system система с фиксированной ценой flat-rate guarantee system система гарантий с фиксированной ставкой formal system формальная система fractional reserve system система частичных резервов frame system вчт. система фреймов functional information system вчт. функциональный информационная система giro system система жиросчетов governmental system правительственная система grading system система сортировки guarantee system система гарантий guidance system вчт. система -путеводитель hard disk system вчт. система с жестким диском help system вчт. справочник hire system =hire-purchase historical cost system выч. калькуляция на основе фактических издержек производства homogeneous system однородная система host system вчт. базисная система host system вчт. централизованная система imprest system система авансирования imputation system система условного начисления indexing system система индексации inductive system вчт. индуктивная система information system вчт. информационная система instruction system вчт. обучающая система integrated system вчт. интегрированная система intelligent system вчт. интеллектуальная система interactive system вчт. диалоговая система interactive system вчт. интерактивная система interest system система ставок процента international monetary system международная валютная система judicial system система судебных органов judicial system судебная система, система судебных органов judicial system судебная система jury system система суда присяжных knowledge base management system вчт. система управления базой знаний knowledge representation system вчт. система представления знаний land registration system система регистрации земельного участка learning system вчт. самообучаемая система licensing system система лицензирования linear programming system система линейного программирования linear system линейная система loadable system вчт. загружаемая система loan limit system система предельных размеров кредита loose-leaf system полигр. издание с отрывными или вкладными листами loss system система с потерями mail system вчт. электронная почта management information system (MIS) управленческая информационная система manual system система ручного управления many-server system вчт. многоканальная система mapped system вчт. система с управлением памятью market system рыночная система market system рыночная экономика market system страна с рыночной экономикой marketing information system система маркетинговой информации markov system марковская система markovian system марковская система master-slave system несимметричная система match system система выравнивания курсов militia system система милиции minimum price system система минимальных цен minimum wage system система минимальной заработной платы ministerial system правительственная система mixed price system смешанная ценовая система mixed system смешанная система modeless system вчт. система с однородным интерфейсом monetary system денежная система monetary system финансовая система monitoring system система мониторинга monitoring system система текущего контроля multi-user system вчт. многопользовательская система multiprocessing system вчт. многопроцессорная система multiprogramming system вчт. система, работающая в мультипрограммном режиме multiserver system вчт. многоканальная система multistation system вчт. многопунктовая система multitasking system вчт. многозадачная система multiuser system система коллективного пользования multivariable system вчт. многомерная система municipal system муниципальная система non-markovian system вчт. немарковская система nonstop system вчт. безостановочный компьютер normative system нормативная система number system система счисления numeration system система счисления off-line system вчт. автономная система on-demand system вчт. система без ожидания on-line system вчт. неавтономная система on-line system вчт. система, работающая в реальном масштабе времени on-line system вчт. система реального времени one-party system однопартийная система open learning system гибкая система обучения open system вчт. открытая система open-item system система с незакрытыми статьями баланса operating system действующая система operating system вчт. операционная система organized banking system организованная банковская система page system вчт. страничная система parliamentary system парламентская система partial cost system система калькуляции издержек производства с использованием нормативов party system партийная система patent system система патентования pay-as-you-go system система выплаты выходных пособий при увольнении payments system система платежей penal system пенитенциарная система periodic reordering system вчт. система с периодической подачей заказов pilot system вчт. прототип системы system система, устройство; political system государственный строй portable system вчт. мобильная система preferential system система преференций premium system премиальная система price control system система регулирования цен price support system система гарантирования цен price system система цен priority system вчт. система приоритетов priority system вчт. система с приоритетами probabilistic system вероятностная система process cost system система исчисления производственных издержек production system продукционная система productions system система продукций program development system вчт. система разработки программ programming system вчт. система программирования progressive taxation system система прогрессивного налогообложения proportional taxation system система пропорционального налогообложения protection system вчт. система защиты prototyping system макет системы public health system система здравоохранения quality system система критериев качества quality system система проверки качества quata system система квот question-answering system вчт. вопросно-ответная система queueing system система массового обслуживания queueing system вчт. система массового обслуживания quota system система иммиграционных квот quota system система квот quota system система контингентов real time system вчт. система реального времени reasoning system вчт. разумная система redundant system вчт. избыточная система reliable system надежная система report system система отчетности reporting system система отчетности reporting system система сбора информации reporting system система учета representation system система представления reservation system система резервирования resident system вчт. резидентная система retrieval system док. система внесения исправлений retrieval system вчт. система поиска revision control system вчт. система управления версиями risk control system система контроля рисков salary adjustment system система регулирования заработной платы salary system система заработной платы scalable system вчт. расширяемая система school system школьная система segment system вчт. система с сегментной организацией self-assessment tax system система самообложения налогом self-contained system замкнутая система serving system вчт. система обслуживания setting up the system вчт. начальная установка системы short-term support system система краткосрочной поддержки simulation system имитационная система single-channel system вчт. одноканальная система single-server system вчт. одноканальная система slave system подчиненная система stable system устойчивая система standard pay system система нормативной заработной платы standby system резервная система static-priority system вчт. система со статическими приоритетами stationary system стационарная система stochastic system стохастическая система support system вчт. исполняющая система system метод system мир, вселенная system организм system сеть (дорог и т. п.) system геол. система, формация system система, устройство; political system государственный строй system система, устройство system система, метод system система; метод; system of axes система координат; what system do you go on? какому методу вы следуете? system comp. система system устройство system for medium-term financial assistance программа среднесрочной финансовой помощи system система; метод; system of axes система координат; what system do you go on? какому методу вы следуете? system of commands система команд system of deductions система выводов system of financial contributions система финансовых взносов system of import control система контроля за импортом system of monitoring balance sheet growth система контроля за ростом статей баланса system of reimbursement система возмещения расходов system of remuneration система вознаграждения system of state государственное устройство system of taxation система налогообложения target system вчт. целевая система tax system налоговая система tax-at-source system система удержания налога из общей суммы доходов taxation system система налогообложения tender system система торгов terminal system вчт. система терминалов test system вчт. испытательная система text-retrieval system вчт. документальная информационная система thin-route system вчт. малоканальная система tightly-coupled system вчт. система с сильной связью time sharing system вчт. система разделения времени time-sharing system вчт. система разделения времени time-sharing system вчт. система с разделением времени timecard system система табельного учета totting-up system система зачетов trade support system система поддержки торговли trading system система торговли transaction-oriented system вчт. диалоговая система обработки запросов truck system система оплаты труда натурой truck system система оплаты труда товарами truck: truck = truck system system attr.: system system оплата труда товарами вместо денег; Truck Acts ист. законы, ограничивающие систему оплаты труда товарами turnkey system вчт. готовая система two-channel system вчт. двухканальная система two-party system двухпартийная система unicameral system однопалатная система unitary tax system единая система налогообложения unmapped system вчт. система без управления памятью up system исправная система virgin system вчт. исходная система voluntary labelling system система добровольного снабжения продукта этикеткой wage system система оплаты труда waiting system вчт. система с ожиданием watch system бирж. система наблюдения weighting system система весов system система; метод; system of axes система координат; what system do you go on? какому методу вы следуете? windowing system вчт. система управления окнами word processing system вчт. система обработки текстов work-space system вчт. система с рабочим состоянием -
5 Knowledge
It is indeed an opinion strangely prevailing amongst men, that houses, mountains, rivers, and, in a word, all sensible objects, have an existence, natural or real, distinct from their being perceived by the understanding. But, with how great an assurance and acquiescence soever this principle may be entertained in the world, yet whoever shall find in his heart to call it into question may, if I mistake not, perceive it to involve a manifest contradiction. For, what are the forementioned objects but things we perceive by sense? and what do we perceive besides our own ideas or sensations? and is it not plainly repugnant that any one of these, or any combination of them, should exist unperceived? (Berkeley, 1996, Pt. I, No. 4, p. 25)It seems to me that the only objects of the abstract sciences or of demonstration are quantity and number, and that all attempts to extend this more perfect species of knowledge beyond these bounds are mere sophistry and illusion. As the component parts of quantity and number are entirely similar, their relations become intricate and involved; and nothing can be more curious, as well as useful, than to trace, by a variety of mediums, their equality or inequality, through their different appearances.But as all other ideas are clearly distinct and different from each other, we can never advance farther, by our utmost scrutiny, than to observe this diversity, and, by an obvious reflection, pronounce one thing not to be another. Or if there be any difficulty in these decisions, it proceeds entirely from the undeterminate meaning of words, which is corrected by juster definitions. That the square of the hypotenuse is equal to the squares of the other two sides cannot be known, let the terms be ever so exactly defined, without a train of reasoning and enquiry. But to convince us of this proposition, that where there is no property, there can be no injustice, it is only necessary to define the terms, and explain injustice to be a violation of property. This proposition is, indeed, nothing but a more imperfect definition. It is the same case with all those pretended syllogistical reasonings, which may be found in every other branch of learning, except the sciences of quantity and number; and these may safely, I think, be pronounced the only proper objects of knowledge and demonstration. (Hume, 1975, Sec. 12, Pt. 3, pp. 163-165)Our knowledge springs from two fundamental sources of the mind; the first is the capacity of receiving representations (the ability to receive impressions), the second is the power to know an object through these representations (spontaneity in the production of concepts).Through the first, an object is given to us; through the second, the object is thought in relation to that representation.... Intuition and concepts constitute, therefore, the elements of all our knowledge, so that neither concepts without intuition in some way corresponding to them, nor intuition without concepts, can yield knowledge. Both may be either pure or empirical.... Pure intuitions or pure concepts are possible only a priori; empirical intuitions and empirical concepts only a posteriori. If the receptivity of our mind, its power of receiving representations in so far as it is in any way affected, is to be called "sensibility," then the mind's power of producing representations from itself, the spontaneity of knowledge, should be called "understanding." Our nature is so constituted that our intuitions can never be other than sensible; that is, it contains only the mode in which we are affected by objects. The faculty, on the other hand, which enables us to think the object of sensible intuition is the understanding.... Without sensibility, no object would be given to us; without understanding, no object would be thought. Thoughts without content are empty; intuitions without concepts are blind. It is therefore just as necessary to make our concepts sensible, that is, to add the object to them in intuition, as to make our intuitions intelligible, that is to bring them under concepts. These two powers or capacities cannot exchange their functions. The understanding can intuit nothing, the senses can think nothing. Only through their union can knowledge arise. (Kant, 1933, Sec. 1, Pt. 2, B74-75 [p. 92])Metaphysics, as a natural disposition of Reason is real, but it is also, in itself, dialectical and deceptive.... Hence to attempt to draw our principles from it, and in their employment to follow this natural but none the less fallacious illusion can never produce science, but only an empty dialectical art, in which one school may indeed outdo the other, but none can ever attain a justifiable and lasting success. In order that, as a science, it may lay claim not merely to deceptive persuasion, but to insight and conviction, a Critique of Reason must exhibit in a complete system the whole stock of conceptions a priori, arranged according to their different sources-the Sensibility, the understanding, and the Reason; it must present a complete table of these conceptions, together with their analysis and all that can be deduced from them, but more especially the possibility of synthetic knowledge a priori by means of their deduction, the principles of its use, and finally, its boundaries....This much is certain: he who has once tried criticism will be sickened for ever of all the dogmatic trash he was compelled to content himself with before, because his Reason, requiring something, could find nothing better for its occupation. Criticism stands to the ordinary school metaphysics exactly in the same relation as chemistry to alchemy, or as astron omy to fortune-telling astrology. I guarantee that no one who has comprehended and thought out the conclusions of criticism, even in these Prolegomena, will ever return to the old sophistical pseudo-science. He will rather look forward with a kind of pleasure to a metaphysics, certainly now within his power, which requires no more preparatory discoveries, and which alone can procure for reason permanent satisfaction. (Kant, 1891, pp. 115-116)Knowledge is only real and can only be set forth fully in the form of science, in the form of system. Further, a so-called fundamental proposition or first principle of philosophy, even if it is true, it is yet none the less false, just because and in so far as it is merely a fundamental proposition, merely a first principle. It is for that reason easily refuted. The refutation consists in bringing out its defective character; and it is defective because it is merely the universal, merely a principle, the beginning. If the refutation is complete and thorough, it is derived and developed from the nature of the principle itself, and not accomplished by bringing in from elsewhere other counter-assurances and chance fancies. It would be strictly the development of the principle, and thus the completion of its deficiency, were it not that it misunderstands its own purport by taking account solely of the negative aspect of what it seeks to do, and is not conscious of the positive character of its process and result. The really positive working out of the beginning is at the same time just as much the very reverse: it is a negative attitude towards the principle we start from. Negative, that is to say, in its one-sided form, which consists in being primarily immediate, a mere purpose. It may therefore be regarded as a refutation of what constitutes the basis of the system; but more correctly it should be looked at as a demonstration that the basis or principle of the system is in point of fact merely its beginning. (Hegel, 1910, pp. 21-22)Knowledge, action, and evaluation are essentially connected. The primary and pervasive significance of knowledge lies in its guidance of action: knowing is for the sake of doing. And action, obviously, is rooted in evaluation. For a being which did not assign comparative values, deliberate action would be pointless; and for one which did not know, it would be impossible. Conversely, only an active being could have knowledge, and only such a being could assign values to anything beyond his own feelings. A creature which did not enter into the process of reality to alter in some part the future content of it, could apprehend a world only in the sense of intuitive or esthetic contemplation; and such contemplation would not possess the significance of knowledge but only that of enjoying and suffering. (Lewis, 1946, p. 1)"Evolutionary epistemology" is a branch of scholarship that applies the evolutionary perspective to an understanding of how knowledge develops. Knowledge always involves getting information. The most primitive way of acquiring it is through the sense of touch: amoebas and other simple organisms know what happens around them only if they can feel it with their "skins." The knowledge such an organism can have is strictly about what is in its immediate vicinity. After a huge jump in evolution, organisms learned to find out what was going on at a distance from them, without having to actually feel the environment. This jump involved the development of sense organs for processing information that was farther away. For a long time, the most important sources of knowledge were the nose, the eyes, and the ears. The next big advance occurred when organisms developed memory. Now information no longer needed to be present at all, and the animal could recall events and outcomes that happened in the past. Each one of these steps in the evolution of knowledge added important survival advantages to the species that was equipped to use it.Then, with the appearance in evolution of humans, an entirely new way of acquiring information developed. Up to this point, the processing of information was entirely intrasomatic.... But when speech appeared (and even more powerfully with the invention of writing), information processing became extrasomatic. After that point knowledge did not have to be stored in the genes, or in the memory traces of the brain; it could be passed on from one person to another through words, or it could be written down and stored on a permanent substance like stone, paper, or silicon chips-in any case, outside the fragile and impermanent nervous system. (Csikszentmihalyi, 1993, pp. 56-57)Historical dictionary of quotations in cognitive science > Knowledge
-
6 knowledge management
управление знаниями
1. Процесс создания условий для выявления, сохранения и эффективного использования знаний и информации в сообществе. Стратегия, направленная на предоставление знаний в нужное время тем членам сообщества, которым эти знания необходимы, для того, чтобы повысить эффективность деятельности сообщества [http://msk.treko.ru/show_dict_390].
2. Формальный процесс, который состоит в оценке организационных процедур, людей и технологий и в создании системы, использующей взаимосвязи между этими компонентами с целью предоставления нужной информации нужным людям в нужное время, что приводит к повышению продуктивности. (По определению IDC.)
Понятие "управление знаниями" родилось в середине 90-х годов в крупных корпорациях, где проблемы обработки информации приобрели особую остроту, став критическими. Выяснилось, что основное узкое место - это обработка знаний, накопленных специалистами компании (именно такие знания обеспечивают ей преимущество перед конкурентами). Знание, которое не используется и не возрастает, в конечном счете устаревает и становится бесполезным, точно так же, как деньги, которые хранятся, не превращаясь в оборотный капитал, в конечном счете обесцениваются. Знание же, которое распространяется, приобретается и обменивается, наоборот, генерирует новое знание [http://msk.treko.ru/show_dict_390].
Новая область менеджмента, сфокусированная на процессах и людях, вовлеченных в создание, распространение и оценку знаний, необходимых для реализации оптимальных стратегий в том или ином виде деятельности.
Знания, которыми обладают участники корпорации, в корпоративных системах управления знаниями воспринимаются как некий ресурс, которым можно управлять, а именно:
- идентифицировать его составляющие (в виде информации) для систематизации корпоративных знаний;
- формализовать с определенной степенью достоверности и хранить в корпоративных базах знаний на основе соответствующих онтологических структур;
- обмениваться формализованными отображениями знаний;
- применять к нему методы извлечения необходимой информации любой степени интеллектуализации;
- организовывать совместное его использование с целью получения новых знаний.
Результатами внедрения технологий управления знаниями в корпорации должны стать:
Оптимизация процессов принятия решений и самих решений
Восстановление и сохранение корпоративного опыта
Увеличение инноваций
Превращение информации в знания (создание новых знаний на основе коллективного опыта)
Привлечение (при необходимости) наибольшего числа членов корпорации к выработке коллективных решений.
Интеграция технологий управления корпоративными знаниями приводит к созданию корпоративных систем управления знаниями (КСУЗ).
[ http://www.morepc.ru/dict/]
управление знаниями
(ITIL Service Transition)
Процесс, отвечающий за предоставление общего хранилища точек зрения, идей, опыта, информации и обеспечение их доступности, когда это необходимо. Управление знаниями способствует принятию информированных решений и повышает эффективность, снижая необходимость в повторном поиске знаний. См. тж. Данные- Информация-Знания-Мудрость, Система управления знаниями по услугам.
[Словарь терминов ITIL версия 1.0, 29 июля 2011 г.]EN
knowledge management
(ITIL Service Transition)
The process responsible for sharing perspectives, ideas, experience and information, and for ensuring that these are available in the right place and at the right time. The knowledge management process enables informed decisions, and improves efficiency by reducing the need to rediscover knowledge. See also Data-to- Information-to-Knowledge-to-Wisdom; service knowledge management system.
[Словарь терминов ITIL версия 1.0, 29 июля 2011 г.]Тематики
EN
2.16 менеджмент знаний (Knowledge Management): Плановое или текущее проведение отдельных мероприятий или непрерывное управление процессами для улучшения использования существующих или создания новых индивидуальных или коллективных ресурсов знаний с целью повышения конкурентоспособности предприятия.
Источник: ГОСТ Р 53894-2010: Менеджмент знаний. Термины и определения оригинал документа
3.8.1 менеджмент знаний (knowledge management; KM): Плановое или текущее проведение отдельных мероприятий либо непрерывное управление процессами для улучшения использования существующих или создания новых индивидуальных/коллективных ресурсов знаний с целью повышения конкурентоспособности предприятия.
Источник: ГОСТ Р 54147-2010: Стратегический и инновационный менеджмент. Термины и определения оригинал документа
Англо-русский словарь нормативно-технической терминологии > knowledge management
-
7 system
ˈsɪstɪm сущ.
1) а) система Syn: method б) система, устройство;
метод adversary system ≈ система состязательности в суде (правда выясняется в ходе соревнования позиций и доказательств сторон в судебном процессе) health system ≈ органы здравоохранения narrative evaluation system ≈ описательная система оценок( письменная характеристика успеваемости учащегося, даваемая преподавателем в свободной форме) political system ≈ государственный строй air-conditioning system
2) какая-л. определенная система а) сеть( дорог и т. п.) б) мир;
вселенная( система планет)
3) организм или часть организма nervous system support-locomotion system
4) геол. система, формация система;
способ;
метод - a good * of teaching French хорошая система /-ий метод/ обучения французскому языку - the touch * of typewriting печатание на машинке по слепому методу (тк. в ед. ч.) система, систематичность - to work without * работать без( строгой) системы - his work lacks * (в) его работе недостает системы - to bring * out of confusion упорядочить неразбериху;
найти выход из запутанного положения строй, устройство - political * государственный строй - the feudal * феодальный строй - * of government система правления - bipartisan /two-party/ * (американизм) (политика) двухпартийная система классификация, система - * of axes (математика) система координат - * of units( физическое) система измерений - natural * (химическое) периодическая система элементов - the decimal * десятичная система - binary * (химическое) бинарная /двойная/ система (философское) система;
комплекс идей, образующих целое - a * of philosophy философская система;
философское учение( философское) вселенная, мир сеть (дорог, труб и т. п.) - tramway * трамвайная сеть - irrigation * система орошения - nervous * нервная система - circulatory * система кровообращения - telephone * телефонная сеть организм - to pass into the * проникнуть в организм - to introduce smth. into the * ввести что-л. в организм - strong drink is bad for the * крепкие напитки вредны для организма - to get smth. out of one's * вывести( яд и т. п.) из организма;
избавиться от какого-л. чувства, навязчивой идеи и т. п. - I must get her out of my * я должен выбросить ее из головы (астрономия) система - * of comets система комет - solar * солнечная система (геология) система, формация (спортивное) судейство - closed /written/ * закрытое судейство - open /public/ * открытое судейство (военное) средство - forward-based *s средства передового базирования - all *s go (космонавтика) все системы (корабля) работают нормально( компьютерное) система - multiprocession * многопроцессорная система - * manager системный программист;
администратор системы - * management сопровождение /координация работы/ системы accept ~ система акцептования accounting information ~ вчт. бухгалтерская информационная система accounting ~ система бухгалтерского учета accounting ~ система счетов adaptive ~ вчт. адаптивная система administrative ~ административная система alarm ~ система сигнализации analysis ~ система анализа application visualization ~ вчт. прикладная система изображения asset quality rating ~ система квалификации активов asymptotically stable ~ асимптотически устойчивая система automated control ~ асу, автоматизированная система управления axiomatic ~ аксиоматическая система backup ~ вчт. дублирующая система banking ~ банковская система belief ~ система доверия bicameral ~ двухпалатная система bicameral ~ парл. двухпалатная система bipartite ~ парл. двухпартийная система block ~ =blocking bonus ~ премиальная система buddy ~ метод близнецов bulk-service ~ система с групповым обслуживанием business ~ экономическая система cad ~ вчт. система автоматизированного проектирования call-reply ~ вчт. запрсно-ответная система certification ~ система сертификации closed queueing ~ замкнутая система массового обслуживания closed ~ замкнутая система code-dependent ~ вчт. система зависящая от данных code-independent ~ вчт. система не зависящая от данных code-insensitive ~ вчт. система не зависящая от данных code-sensitive ~ вчт. система зависящая от данных code-transparent ~ вчт. система не зависящая от данных coinage ~ монетная система column ~ система бухгалтерского учета по колонкам commission ~ система комиссионных вознаграждений computer ~ вычислительная система computer ~ вчт. вычислительная система computer ~ вычислительный комплекс computer ~ система вычислительных машин computer-aided control ~ автоматизированная система управления computer-to-plate ~ система создания печатных форм на компьютере computerized information ~ информационная система на базе ЭВМ concealment ~ система маскировки concession ~ система концессий constrained ~ вчт. система с ограничениями consulting ~ вчт. консультирующая система control ~ система управления control ~ вчт. система управления cooperative ~ система кооперации cooptation ~ система кооптации costing ~ система калькуляции себестоимости court ~ судебная система, система судопроизводства credit ~ кредитная система criminal reestablishment ~ система восстановления личности преступника crisis alert ~ система предупреждения о кризисе cross ~ вчт. кросс-система cyclical response ~ вчт. система циклических реакций data base management ~ вчт. система управления базой данных data handling ~ вчт. система обработки данных data processing ~ вчт. система обработки данных data ~ вчт. информационная система database ~ вчт. система баз данных decimal ~ десятичная система dedicated ~ специализированная система deductive ~ дедуктивная система delay ~ система с ожиданием desktop ~ система непосредственного взаимодействия direct debit ~ система прямого дебета direct ~ целевая система directional ~ система управления disk operating ~ вчт. дисковая операционная система, ДОС distributed file ~ вчт. распределенная файловая система distributed ~ вчт. распределенная система distribution ~ система распределения distributive ~ распределительная система DP ~ (data processing ~) система обработки данных dynamic ~ динамическая система educational ~ система образования educational ~ система обучения election ~ избирательная система electronic book-entry ~ вчт. электронная система бухгалтерского учета electronic full-page makeup ~ вчт. электронная система верстки полос enclave ~ анклавная группа;
полузащищенная группа (работающих под специальным наблюдением в обычных рабочих условиях инвалидов) equilibrium ~ равновесная система evolutionary ~ развиваемая система executive ~ вчт. операционная система expand a ~ вчт. расширять комплект оборудования системы expert ~ вчт. экспертная система explanatory ~ вчт. система объяснений fail-soft ~ вчт. система с амортизацией отказов federal ~ федеральная система fee ~ система вознаграждений feedback ~ система с обратной связью file ~ вчт. файловая система filing ~ система регистрации документов filing ~ система хранения документов financial ~ финансовая система fiscal ~ система финансов fixed price ~ система с фиксированной ценой flat-rate guarantee ~ система гарантий с фиксированной ставкой formal ~ формальная система fractional reserve ~ система частичных резервов frame ~ вчт. система фреймов functional information ~ вчт. функциональный информационная система giro ~ система жиросчетов governmental ~ правительственная система grading ~ система сортировки guarantee ~ система гарантий guidance ~ вчт. система -путеводитель hard disk ~ вчт. система с жестким диском help ~ вчт. справочник hire ~ =hire-purchase historical cost ~ выч. калькуляция на основе фактических издержек производства homogeneous ~ однородная система host ~ вчт. базисная система host ~ вчт. централизованная система imprest ~ система авансирования imputation ~ система условного начисления indexing ~ система индексации inductive ~ вчт. индуктивная система information ~ вчт. информационная система instruction ~ вчт. обучающая система integrated ~ вчт. интегрированная система intelligent ~ вчт. интеллектуальная система interactive ~ вчт. диалоговая система interactive ~ вчт. интерактивная система interest ~ система ставок процента international monetary ~ международная валютная система judicial ~ система судебных органов judicial ~ судебная система, система судебных органов judicial ~ судебная система jury ~ система суда присяжных knowledge base management ~ вчт. система управления базой знаний knowledge representation ~ вчт. система представления знаний land registration ~ система регистрации земельного участка learning ~ вчт. самообучаемая система licensing ~ система лицензирования linear programming ~ система линейного программирования linear ~ линейная система loadable ~ вчт. загружаемая система loan limit ~ система предельных размеров кредита loose-leaf ~ полигр. издание с отрывными или вкладными листами loss ~ система с потерями mail ~ вчт. электронная почта management information ~ (MIS) управленческая информационная система manual ~ система ручного управления many-server ~ вчт. многоканальная система mapped ~ вчт. система с управлением памятью market ~ рыночная система market ~ рыночная экономика market ~ страна с рыночной экономикой marketing information ~ система маркетинговой информации markov ~ марковская система markovian ~ марковская система master-slave ~ несимметричная система match ~ система выравнивания курсов militia ~ система милиции minimum price ~ система минимальных цен minimum wage ~ система минимальной заработной платы ministerial ~ правительственная система mixed price ~ смешанная ценовая система mixed ~ смешанная система modeless ~ вчт. система с однородным интерфейсом monetary ~ денежная система monetary ~ финансовая система monitoring ~ система мониторинга monitoring ~ система текущего контроля multi-user ~ вчт. многопользовательская система multiprocessing ~ вчт. многопроцессорная система multiprogramming ~ вчт. система, работающая в мультипрограммном режиме multiserver ~ вчт. многоканальная система multistation ~ вчт. многопунктовая система multitasking ~ вчт. многозадачная система multiuser ~ система коллективного пользования multivariable ~ вчт. многомерная система municipal ~ муниципальная система non-markovian ~ вчт. немарковская система nonstop ~ вчт. безостановочный компьютер normative ~ нормативная система number ~ система счисления numeration ~ система счисления off-line ~ вчт. автономная система on-demand ~ вчт. система без ожидания on-line ~ вчт. неавтономная система on-line ~ вчт. система, работающая в реальном масштабе времени on-line ~ вчт. система реального времени one-party ~ однопартийная система open learning ~ гибкая система обучения open ~ вчт. открытая система open-item ~ система с незакрытыми статьями баланса operating ~ действующая система operating ~ вчт. операционная система organized banking ~ организованная банковская система page ~ вчт. страничная система parliamentary ~ парламентская система partial cost ~ система калькуляции издержек производства с использованием нормативов party ~ партийная система patent ~ система патентования pay-as-you-go ~ система выплаты выходных пособий при увольнении payments ~ система платежей penal ~ пенитенциарная система periodic reordering ~ вчт. система с периодической подачей заказов pilot ~ вчт. прототип системы ~ система, устройство;
political system государственный строй portable ~ вчт. мобильная система preferential ~ система преференций premium ~ премиальная система price control ~ система регулирования цен price support ~ система гарантирования цен price ~ система цен priority ~ вчт. система приоритетов priority ~ вчт. система с приоритетами probabilistic ~ вероятностная система process cost ~ система исчисления производственных издержек production ~ продукционная система productions ~ система продукций program development ~ вчт. система разработки программ programming ~ вчт. система программирования progressive taxation ~ система прогрессивного налогообложения proportional taxation ~ система пропорционального налогообложения protection ~ вчт. система защиты prototyping ~ макет системы public health ~ система здравоохранения quality ~ система критериев качества quality ~ система проверки качества quata ~ система квот question-answering ~ вчт. вопросно-ответная система queueing ~ система массового обслуживания queueing ~ вчт. система массового обслуживания quota ~ система иммиграционных квот quota ~ система квот quota ~ система контингентов real time ~ вчт. система реального времени reasoning ~ вчт. разумная система redundant ~ вчт. избыточная система reliable ~ надежная система report ~ система отчетности reporting ~ система отчетности reporting ~ система сбора информации reporting ~ система учета representation ~ система представления reservation ~ система резервирования resident ~ вчт. резидентная система retrieval ~ док. система внесения исправлений retrieval ~ вчт. система поиска revision control ~ вчт. система управления версиями risk control ~ система контроля рисков salary adjustment ~ система регулирования заработной платы salary ~ система заработной платы scalable ~ вчт. расширяемая система school ~ школьная система segment ~ вчт. система с сегментной организацией self-assessment tax ~ система самообложения налогом self-contained ~ замкнутая система serving ~ вчт. система обслуживания setting up the ~ вчт. начальная установка системы short-term support ~ система краткосрочной поддержки simulation ~ имитационная система single-channel ~ вчт. одноканальная система single-server ~ вчт. одноканальная система slave ~ подчиненная система stable ~ устойчивая система standard pay ~ система нормативной заработной платы standby ~ резервная система static-priority ~ вчт. система со статическими приоритетами stationary ~ стационарная система stochastic ~ стохастическая система support ~ вчт. исполняющая система system метод ~ мир, вселенная ~ организм ~ сеть (дорог и т. п.) ~ геол. система, формация ~ система, устройство;
political system государственный строй ~ система, устройство ~ система, метод ~ система;
метод;
system of axes система координат;
what system do you go on? какому методу вы следуете? ~ comp. система ~ устройство ~ for medium-term financial assistance программа среднесрочной финансовой помощи ~ система;
метод;
system of axes система координат;
what system do you go on? какому методу вы следуете? ~ of commands система команд ~ of deductions система выводов ~ of financial contributions система финансовых взносов ~ of import control система контроля за импортом ~ of monitoring balance sheet growth система контроля за ростом статей баланса ~ of reimbursement система возмещения расходов ~ of remuneration система вознаграждения ~ of state государственное устройство ~ of taxation система налогообложения target ~ вчт. целевая система tax ~ налоговая система tax-at-source ~ система удержания налога из общей суммы доходов taxation ~ система налогообложения tender ~ система торгов terminal ~ вчт. система терминалов test ~ вчт. испытательная система text-retrieval ~ вчт. документальная информационная система thin-route ~ вчт. малоканальная система tightly-coupled ~ вчт. система с сильной связью time sharing ~ вчт. система разделения времени time-sharing ~ вчт. система разделения времени time-sharing ~ вчт. система с разделением времени timecard ~ система табельного учета totting-up ~ система зачетов trade support ~ система поддержки торговли trading ~ система торговли transaction-oriented ~ вчт. диалоговая система обработки запросов truck ~ система оплаты труда натурой truck ~ система оплаты труда товарами truck: truck = truck system ~ attr.: ~ system оплата труда товарами вместо денег;
Truck Acts ист. законы, ограничивающие систему оплаты труда товарами turnkey ~ вчт. готовая система two-channel ~ вчт. двухканальная система two-party ~ двухпартийная система unicameral ~ однопалатная система unitary tax ~ единая система налогообложения unmapped ~ вчт. система без управления памятью up ~ исправная система virgin ~ вчт. исходная система voluntary labelling ~ система добровольного снабжения продукта этикеткой wage ~ система оплаты труда waiting ~ вчт. система с ожиданием watch ~ бирж. система наблюдения weighting ~ система весов ~ система;
метод;
system of axes система координат;
what system do you go on? какому методу вы следуете? windowing ~ вчт. система управления окнами word processing ~ вчт. система обработки текстов work-space ~ вчт. система с рабочим состоянием -
8 management information system
- управленческая информационная система
- информационно-управляющая система
- информационная система управления
- информационная система (в АСУ)
- административная информационная система
- автоматизированная система управления
автоматизированная система, управляющая
АСУ
Управляющая система, часть функций которой, главным образом функцию принятия решений, выполняет человек-оператор.
Примечание
В зависимости от объектов управления различают, например: АСУ П, когда объектом управления является предприятие; АСУ ТП, когда объектом управления является технологический процесс; ОАСУ, когда объектом управления является организационный объект или комплекс.
[Сборник рекомендуемых терминов. Выпуск 107. Теория управления. Академия наук СССР. Комитет научно-технической терминологии. 1984 г.]
автоматизированная система управления
АСУ
Совокупность математических методов, технических средств (компьютеров, средств связи, устройств отображения информации и т. д.) и организационных комплексов, обеспечивающих рациональное управление сложным объектом (процессом) в соответствии с заданной целью. АСУ принято делить на основу и функциональную часть. В основу входят информационное, техническое и математическое обеспечение. К функциональной части относят набор взаимосвязанных программ, автоматизирующих конкретные функции управления (планирование, финансово-бухгалтерскую деятельность и др.). Различают АСУ объектами (технологическими процессами - АСУТП, предприятием - АСУП, отраслью - ОАСУ) и функциональными автоматизированными системами, например, проектирования, расчетов, материально-технического и др. обеспечения.
[ http://www.morepc.ru/dict/]
автоматизированная система управления
АСУ
Система управления, в которой применяются современные автоматические средства обработки данных и экономико-математические методы для решения основных задач управления производственно-хозяйственной деятельностью. Это человеко-машинная система: в ней ряд операций и действий передается для исполнения машинам и другим устройствам (особенно это относится к так называемым рутинным, повторяющимся, стандартным операциям расчетов), но главное решение всегда остается за человеком. Этим АСУ отличаются от автоматических систем, т.е. таких технических устройств, которые действуют самостоятельно, по установленной для них программе, без вмешательства человека. АСУ подразделяются прежде всего на два класса: автоматизированные системы организационного управления и автоматизированные системы управления технологическими процессами (последние часто бывают автоматическими, первые ими принципиально быть не могут). Традиционно термин АСУ закрепился за первым из названных классов. Отличие АСУ от обычной, неавтоматизированной, но также использующей ЭВМ, системы управления показано на рис. А.1, а, б. Стрелками обозначены потоки информации. В первом случае компьютер используется для решения отдельных задач управления, например для производства плановых расчетов, результаты которых рассматриваются органом управления и либо принимаются, либо отвергаются. При этом необходимые данные собираются специально для решения каждой задачи и вводятся в компьютер, а потом за ненадобностью уничтожаются. Во втором случае существенная часть информации от объекта управления собирается непосредственно вычислительным центром, в том числе по каналам связи. При этом нет необходимости каждый раз вводить в компьютер все данные: часть из них (цены, нормативы и т. п.) хранится в ее запоминающем устройстве. Из вычислительного центра выработанные задания поступают, с одной стороны, в орган управления, а с другой (обычно через контрольное звено) — к объекту управления. В свою очередь информация, поступающая от объекта управления, влияет на принимаемые решения, т.е. здесь используется кибернетический принцип обратной связи. Это — АСУ. Принято рассматривать каждую АСУ одновременно в двух аспектах: с точки зрения ее функций — того, что и как она делает, и с точки зрения ее схемы, т.е. с помощью каких средств и методов эти функции реализуются. Соответственно АСУ подразделяют на две группы подсистем — функциональные и обеспечивающие. Создание АСУ на действующем экономическом объекте (в фирме, на предприятии, в банке и т.д.) — не разовое мероприятие, а длительный процесс. Отдельные подсистемы АСУ проектируются и вводятся в действие последовательными очередями, в состав функций включаются также все новые и новые задачи; при этом АСУ органически «вписывается» в систему управления. Обычно первые очереди АСУ ограничиваются решением чисто информационных задач. В дальнейшем их функции усложняются, включая использование оптимизационных расчетов, элементов оптимального управления. Степень участия АСУ в процессах управления может быть весьма различной, вплоть до самостоятельной выдачи компьютером, на основе получаемых им данных, оперативных управляющих «команд». Поскольку внедрение АСУ требует приспособления документации для машинной обработки, создаются унифицированные системы документации, а также классификаторы технико-экономической информации и т.д. Экономическая эффективность АСУ определяется прежде всего ростом эффективности самого производства в результате лучшей загрузки оборудования, повышения ритмичности, сокращения незавершенного производства и других материальных запасов, повышения качества продукции. РисА.1. Системы управления с использованием компьютеров а — неавтоматизированная, б — автоматизированная; I — управляющий центр; II — автоматизированная управляемая система (например, производство), III — контроль; тонкая черная стрелка — канал непосредственного управления компьютером некоторыми технологическими процессами (бывает не во всех АСУ); тонкая пунктирная стрелка показывает ту часть информации, которая поступает непосредственно в центр, минуя компьютер.
[ http://slovar-lopatnikov.ru/]Тематики
Синонимы
EN
административная информационная система
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]Тематики
EN
информационная система (в АСУ)
Компьютерная система сбора, хранения, накопления, поиска и передачи данных, применяемых в процессе управления, планирования и организации производства. Это информационная подсистема автоматизированной системы управления. Она обычно включает следующие части: информационно-справочный фонд (архив, библиотека данных), язык АСУ, т.е. совокупность знаков и классификаторов (и правил обращения с ними), а также комплекс моделей и программ, обеспечивающих функционирование системы. Современные И.с. часто выступают как интегрированные системы обработки данных. При формировании И.с. АСУ изучаются задачи управления и связи между ними. На этой основе выявляются нужные для их решения сведения и, следовательно, потребность в информации; отбрасываются ненужные потоки информации, дополняются полезные потоки; устанавливаются периодичность и адреса поступления информации.
[ http://slovar-lopatnikov.ru/]Тематики
EN
информационная система управления
ИСУ
Система, обеспечивающая получение прошлых, настоящих и предполагаемых данных о внутренних операциях и внешних событиях. Своевременно предоставляя информацию, необходимую для принятия решений, она поддерживает такие функции предприятия, как планирование, контроль и оперативное управление.
[ http://www.lexikon.ru/dict/uprav/index.html]Тематики
Синонимы
EN
информационно-управляющая система
Формальная система обеспечения руководителей информацией, необходимой для принятия решений.
[ http://tourlib.net/books_men/meskon_glossary.htm]Тематики
EN
управленческая информационная система
УИС
(ITIL Service Design)
Набор инструментов, данных и информации, который используется для поддержки процесса или функции. Примеры управленческой информационной системы – система управления доступностью, система управления подрядчиками и контрактами.
[Словарь терминов ITIL версия 1.0, 29 июля 2011 г.]
система управленческая информационная
Система, состоящая из взаимосвязанных подсистем, которые выдают информацию, необходимую для управления фирмой, при этом бухгалтерская подсистема является наиболее важной, так как она играет ведущую роль в управлении потоком экономических данных и направлении их во всех подразделения фирмы, а также заинтересованным лицам вне фирмы.
[ http://www.lexikon.ru/dict/buh/index.html]EN
management information system
MIS
(ITIL Service Design) A set of tools, data and information that is used to support a process or function. Examples include the availability management information system and the supplier and contract management information system. See also service knowledge management system.
[Словарь терминов ITIL® версия 1.0, 29 июля 2011 г.]Тематики
Синонимы
EN
Англо-русский словарь нормативно-технической терминологии > management information system
-
9 PKS
1) Компьютерная техника: Process Knowledge System2) Медицина: Фармако Кинетические растворы (Pharmaco Kinetic Solutions (программа фирмы "Summit Research Services"))3) Американизм: Parks4) Спорт: Power Kite Site5) Деловая лексика: People Knowledge And Systems6) Безопасность: Public Key Server, Public Key System7) NYSE. Six Flags, Inc. (formerly Premier Parks, Inc.) -
10 asset
актив
Ресурсы, получаемые или контролируемые конкретным хозяйствующим субъектом, возникшие в результате совершенных в прошлом операций или событий и являющиеся источником предполагаемых экономических выгод в будущем.
[ http://www.lexikon.ru/dict/uprav/index.html]
актив
Информация или ресурсы, подлежащие защите.
[ http://www.glossary.ib-bank.ru/]
актив
(ITIL Service Strategy)
Любой ресурс или способность. Активы поставщика услуг включают в себя всё, что может быть задействовано в предоставлении услуг. Активы могут быть одного из следующих типов: управление, организация, процесс, знания, люди, информация, приложения, инфраструктура или финансовый капитал. См. тж. актив заказчика; сервисный актив; стратегический актив.
[Словарь терминов ITIL® версия 1.0, 29 июля 2011 г.]
актив
Единичный экономический объект в виде основных средств, нематериальных экономических объектов, финансовых вкладов, а также денежных требований к другим юридическим лицам принадлежащий юридическому лицу (компании, предприятию и т.п.). Точнее, совокупность имущественных прав юрлица на этот объект. Это ресурс, контролируемый компанией (предприятием) как результат событий прошлых периодов, от которого в будущем ожидаются экономические выгоды. Эти два условия – контроль и будущие выгоды – часто приводят к тому, что потенциальные нематериальные активы не удовлетворяют этому определению. Например, рекламные затраты вряд ли подходят под приведенное определение, поскольку возможные выгоды не поддаются управлению. Их приходится рассматривать как расход, а не как актив. Подробнее см. Активы
[ http://slovar-lopatnikov.ru/]EN
asset
(ITIL Service Strategy) Any resource or capability. The assets of a service provider include anything that could contribute to the delivery of a service. Assets can be one of the following types: management, organization, process, knowledge, people, information, applications, infrastructure or financial capital. See also customer asset; service asset; strategic asset.
[Словарь терминов ITIL® версия 1.0, 29 июля 2011 г.]Тематики
EN
активы
1. Любая собственность компании; машины и оборудование, здания, запасы, банковские вклады и инвестиции в ценные бумаги, патенты (в западной практике также деловая репутация).
2. Часть бухгалтерского баланса отражающая материальные и нематериальные (гудвилл) ценности предприятия с точки зрения их состава и размещения.
3. Превышение доходов над расходами в некоторых видах балансов (платежный баланс и т. д.).
4. В зарубежной практике это любой предмет, материальный или нематериальный, который представляет ценность для своего владельца. В большинстве случаев это либо наличные деньги, либо то, что может быть обращено в наличные деньги; исключение составляют досрочные выплаты ренты, местного налога на недвижимость или налога на автомобиль, то есть платежи ранее установленного срока. Материальные активы включают в себя землю, здания и сооружения, машины и оборудование, арматуру и приспособления, товарные запасы, инвестиции, дебиторскую задолженность и наличные деньги; к нематериальным активам относятся гудвилл, патенты, авторские права и торговые марки. Например, в Великобритании при налогообложении реализованного прироста рыночной стоимости капитала к активам относятся все формы имущества на территории Великобритании и за рубежом, включая опционы, дебиторские задолженности, собственность, выраженную в правах, валюту (отличную от фунтов стерлингов) и любую другую собственность либо созданную лицом, продающим ее, либо принадлежащую ему, но не приобретенную. Однако в активы должна включаться только такая собственность, стоимость которой может быть установлена.
[ http://www.lexikon.ru/dict/buh/index.html]
активы
Собственность фирмы или отдельного лица, имеющая денежное выражение, составляющая часть его достояния (богатства), как общее правило, способная приносить доход (прибыль) или иные выгоды (исключение – непроизводительные активы). Активы, прежде всего, делятся на капитальные активы ( недвижимость, машины, оборудование),финансовые активы (кредиты, ценные бумаги), и нематериальные активы (деловая репутация, патенты). В системе национальных счетов принято следующее разделение: финансовые и нефинансовые активы. Нефинансовые активы в свою очередь, делятся на две группы: материальные и нематериальные; произведенные и непроизведенные. Финансовые активы не имеют материального субстрата, определяющего их стоимость. Финансовому активу одного субъекта противостоит финансовое обязательство другого субъекта. К финансовым активам относятся наличные деньги и депозиты, ссуды, ценные бумаги (вексель, облигация), акции, страховые полисы. Важно различение активов на рисковые (таковы акции компаний, поскольку последние в любое время могут разориться), и (относительно) безрисковые, например, государственные ценные бумаги или вклады в надежных банках. Наиболее ликвидные А. – денежные средства, которые всегда можно обратить в реальные активы. В Международных стандартах финансовой отчетности записано: «Объект основных средств должен признаваться в качестве актива, когда (а) существует вероятность, что предприятие в будущем получит экономические выгоды, связанные с этим активом, и (б) затраты на актив для предприятия могут быть достоверно определены». (МСФО Принципы, 49а; Стандарт 16,7) Все активы отражаются в левой части баланса фирмы, почему она и называется «Актив». Размеры прибыли, приносимой активами, определяются отношением общего объема денежных поступлений от актива к его цене. Она может быть в явной форме (например, рентные платежи при сдаче дома в наем или дивиденды от акций, других ценных бумаг) и в неявной форме повышения или понижения стоимости актива (повышение стоимости актива представляет собой прирост капитала, а понижение — его потерю). В последнем случае доход остается латентным, нереализованным, пока актив не будет продан, что, впрочем, может быть сделано в любое время. Прибыль от актива в реальном выражении исчисляется с поправкой на инфляцию. Ожидаемая прибыль — та, которую актив принесет в среднем за прогнозный период: в каждый отдельный год она может в ту или иную сто д.рону отличаться от расчетной. См. также Материальные активы, Нематериальные активы, Финансовые активы, Оборотные (текущие) активы, Внеоборотные активы, Операционные активы, Инвестиционные активы, Валовые активы, Чистые активы, Ликвидность активов и др.
[ http://slovar-lopatnikov.ru/]Тематики
EN
воздухоаккумулирующая электростанция
—
[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.]Тематики
- электротехника, основные понятия
EN
2.2 активы (asset): Все, что имеет ценность для организации.
Источник: ГОСТ Р ИСО/МЭК 13335-1-2006: Информационная технология. Методы и средства обеспечения безопасности. Часть 1. Концепция и модели менеджмента безопасности информационных и телекоммуникационных технологий оригинал документа
3.4 активы (asset): Все, что имеет ценность для организации [2].
Источник: ГОСТ Р ИСО/ТО 13569-2007: Финансовые услуги. Рекомендации по информационной безопасности
3.4 активы (asset): Все, что имеет ценность для организации [2].
Источник: ГОСТ Р ИСО ТО 13569-2007: Финансовые услуги. Рекомендации по информационной безопасности
2.4 активы (asset): Товары, формирующие капитал, используемые для оказания услуги (2.44).
Примечание 1 - Активы могут быть материальными или нематериальными. Примеры материальных активов: земля, здания, трубы, скважины, резервуары, очистные установки, оборудование, аппаратные средства. Примеры нематериальных активов: программное обеспечение, базы данных.
Примечание 2 - В отличие от предметов потребления в отчетности может отражаться амортизация активов.
Источник: ГОСТ Р ИСО 24511-2009: Деятельность, связанная с услугами питьевого водоснабжения и удаления сточных вод. Руководящие указания для менеджмента коммунальных предприятий и оценке услуг удаления сточных вод оригинал документа
2.4 активы (asset): Товары, формирующие капитал, используемые для оказания услуги (2.44).
Примечание 1 - Активы могут быть материальными или нематериальными. Примеры материальных активов: земля, здания, трубы, скважины, резервуары, очистные установки, оборудование, аппаратные средства. Примеры нематериальных активов: программное обеспечение, базы данных.
Примечание 2 - В отличие от предметов потребления в отчетности может отражаться амортизация активов.
Источник: ГОСТ Р ИСО 24512-2009: Деятельность, связанная с услугами питьевого водоснабжения и удаления сточных вод. Руководящие указания для менеджмента систем питьевого водоснабжения и оценке услуг питьевого водоснабжения оригинал документа
2.4 активы (asset): Товары, формирующие капитал, используемые для оказания услуги (2.44).
Примечание 1 - Активы могут быть материальными или нематериальными. Примеры материальных активов: земля, здания, трубы, скважины, резервуары, очистные установки, оборудование, аппаратные средства. Примеры нематериальных активов: программное обеспечение, базы данных.
Примечание 2 - В отличие от предметов потребления в отчетности может отражаться амортизация активов.
Источник: ГОСТ Р ИСО 24510-2009: Деятельность, связанная с услугами питьевого водоснабжения и удаления сточных вод. Руководящие указания по оценке и улучшению услуги, оказываемой потребителям оригинал документа
3.3.17 активы (asset): Все, что имеет ценность для организации.
Источник: ГОСТ Р 54147-2010: Стратегический и инновационный менеджмент. Термины и определения оригинал документа
Англо-русский словарь нормативно-технической терминологии > asset
-
11 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
-
12 Bibliography
■ Aitchison, J. (1987). Noam Chomsky: Consensus and controversy. New York: Falmer Press.■ Anderson, J. R. (1980). Cognitive psychology and its implications. San Francisco: W. H. Freeman.■ Anderson, J. R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press.■ Anderson, J. R. (1995). Cognitive psychology and its implications (4th ed.). New York: W. H. Freeman.■ Archilochus (1971). In M. L. West (Ed.), Iambi et elegi graeci (Vol. 1). Oxford: Oxford University Press.■ Armstrong, D. M. (1990). The causal theory of the mind. In W. G. Lycan (Ed.), Mind and cognition: A reader (pp. 37-47). Cambridge, MA: Basil Blackwell. (Originally published in 1981 in The nature of mind and other essays, Ithaca, NY: University Press).■ Atkins, P. W. (1992). Creation revisited. Oxford: W. H. Freeman & Company.■ Austin, J. L. (1962). How to do things with words. Cambridge, MA: Harvard University Press.■ Bacon, F. (1878). Of the proficience and advancement of learning divine and human. In The works of Francis Bacon (Vol. 1). Cambridge, MA: Hurd & Houghton.■ Bacon, R. (1928). Opus majus (Vol. 2). R. B. Burke (Trans.). Philadelphia, PA: University of Pennsylvania Press.■ Bar-Hillel, Y. (1960). The present status of automatic translation of languages. In F. L. Alt (Ed.), Advances in computers (Vol. 1). New York: Academic Press.■ Barr, A., & E. A. Feigenbaum (Eds.) (1981). The handbook of artificial intelligence (Vol. 1). Reading, MA: Addison-Wesley.■ Barr, A., & E. A. Feigenbaum (Eds.) (1982). The handbook of artificial intelligence (Vol. 2). Los Altos, CA: William Kaufman.■ Barron, F. X. (1963). The needs for order and for disorder as motives in creative activity. In C. W. Taylor & F. X. Barron (Eds.), Scientific creativity: Its rec ognition and development (pp. 153-160). New York: Wiley.■ Bartlett, F. C. (1932). Remembering: A study in experimental and social psychology. Cambridge: Cambridge University Press.■ Bartley, S. H. (1969). Principles of perception. London: Harper & Row.■ Barzun, J. (1959). The house of intellect. New York: Harper & Row.■ Beach, F. A., D. O. Hebb, C. T. Morgan & H. W. Nissen (Eds.) (1960). The neu ropsychology of Lashley. New York: McGraw-Hill.■ Berkeley, G. (1996). Principles of human knowledge: Three Dialogues. Oxford: Oxford University Press. (Originally published in 1710.)■ Berlin, I. (1953). The hedgehog and the fox: An essay on Tolstoy's view of history. NY: Simon & Schuster.■ Bierwisch, J. (1970). Semantics. In J. Lyons (Ed.), New horizons in linguistics. Baltimore: Penguin Books.■ Black, H. C. (1951). Black's law dictionary. St. Paul, MN: West Publishing.■ Bloom, A. (1981). The linguistic shaping of thought: A study in the impact of language on thinking in China and the West. Hillsdale, NJ: Erlbaum.■ Bobrow, D. G., & D. A. Norman (1975). Some principles of memory schemata. In D. G. Bobrow & A. Collins (Eds.), Representation and understanding: Stud ies in Cognitive Science (pp. 131-149). New York: Academic Press.■ Boden, M. A. (1977). Artificial intelligence and natural man. New York: Basic Books.■ Boden, M. A. (1981). Minds and mechanisms. Ithaca, NY: Cornell University Press.■ Boden, M. A. (1990a). The creative mind: Myths and mechanisms. London: Cardinal.■ Boden, M. A. (1990b). The philosophy of artificial intelligence. Oxford: Oxford University Press.■ Boden, M. A. (1994). Precis of The creative mind: Myths and mechanisms. Behavioral and brain sciences 17, 519-570.■ Boden, M. (1996). Creativity. In M. Boden (Ed.), Artificial Intelligence (2nd ed.). San Diego: Academic Press.■ Bolter, J. D. (1984). Turing's man: Western culture in the computer age. Chapel Hill, NC: University of North Carolina Press.■ Bolton, N. (1972). The psychology of thinking. London: Methuen.■ Bourne, L. E. (1973). Some forms of cognition: A critical analysis of several papers. In R. Solso (Ed.), Contemporary issues in cognitive psychology (pp. 313324). Loyola Symposium on Cognitive Psychology (Chicago 1972). Washington, DC: Winston.■ Bransford, J. D., N. S. McCarrell, J. J. Franks & K. E. Nitsch (1977). Toward unexplaining memory. In R. Shaw & J. D. Bransford (Eds.), Perceiving, acting, and knowing (pp. 431-466). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Breger, L. (1981). Freud's unfinished journey. London: Routledge & Kegan Paul.■ Brehmer, B. (1986). In one word: Not from experience. In H. R. Arkes & K. Hammond (Eds.), Judgment and decision making: An interdisciplinary reader (pp. 705-719). Cambridge: Cambridge University Press.■ Bresnan, J. (1978). A realistic transformational grammar. In M. Halle, J. Bresnan & G. A. Miller (Eds.), Linguistic theory and psychological reality (pp. 1-59). Cambridge, MA: MIT Press.■ Brislin, R. W., W. J. Lonner & R. M. Thorndike (Eds.) (1973). Cross- cultural research methods. New York: Wiley.■ Bronowski, J. (1977). A sense of the future: Essays in natural philosophy. P. E. Ariotti with R. Bronowski (Eds.). Cambridge, MA: MIT Press.■ Bronowski, J. (1978). The origins of knowledge and imagination. New Haven, CT: Yale University Press.■ Brown, R. O. (1973). A first language: The early stages. Cambridge, MA: Harvard University Press.■ Brown, T. (1970). Lectures on the philosophy of the human mind. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 330-387). New York: Random House/Modern Library.■ Bruner, J. S., J. Goodnow & G. Austin (1956). A study of thinking. New York: Wiley.■ Calvin, W. H. (1990). The cerebral symphony: Seashore reflections on the structure of consciousness. New York: Bantam.■ Campbell, J. (1982). Grammatical man: Information, entropy, language, and life. New York: Simon & Schuster.■ Campbell, J. (1989). The improbable machine. New York: Simon & Schuster.■ Carlyle, T. (1966). On heroes, hero- worship and the heroic in history. Lincoln: University of Nebraska Press. (Originally published in 1841.)■ Carnap, R. (1959). The elimination of metaphysics through logical analysis of language [Ueberwindung der Metaphysik durch logische Analyse der Sprache]. In A. J. Ayer (Ed.), Logical positivism (pp. 60-81) A. Pap (Trans). New York: Free Press. (Originally published in 1932.)■ Cassirer, E. (1946). Language and myth. New York: Harper and Brothers. Reprinted. New York: Dover Publications, 1953.■ Cattell, R. B., & H. J. Butcher (1970). Creativity and personality. In P. E. Vernon (Ed.), Creativity. Harmondsworth, England: Penguin Books.■ Caudill, M., & C. Butler (1990). Naturally intelligent systems. Cambridge, MA: MIT Press/Bradford Books.■ Chandrasekaran, B. (1990). What kind of information processing is intelligence? A perspective on AI paradigms and a proposal. In D. Partridge & R. Wilks (Eds.), The foundations of artificial intelligence: A sourcebook (pp. 14-46). Cambridge: Cambridge University Press.■ Charniak, E., & McDermott, D. (1985). Introduction to artificial intelligence. Reading, MA: Addison-Wesley.■ Chase, W. G., & H. A. Simon (1988). The mind's eye in chess. In A. Collins & E. E. Smith (Eds.), Readings in cognitive science: A perspective from psychology and artificial intelligence (pp. 461-493). San Mateo, CA: Kaufmann.■ Cheney, D. L., & R. M. Seyfarth (1990). How monkeys see the world: Inside the mind of another species. Chicago: University of Chicago Press.■ Chi, M.T.H., R. Glaser & E. Rees (1982). Expertise in problem solving. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (pp. 7-73). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Chomsky, N. (1957). Syntactic structures. The Hague: Mouton. Janua Linguarum.■ Chomsky, N. (1964). A transformational approach to syntax. In J. A. Fodor & J. J. Katz (Eds.), The structure of language: Readings in the philosophy of lan guage (pp. 211-245). Englewood Cliffs, NJ: Prentice-Hall.■ Chomsky, N. (1965). Aspects of the theory of syntax. Cambridge, MA: MIT Press.■ Chomsky, N. (1972). Language and mind (enlarged ed.). New York: Harcourt Brace Jovanovich.■ Chomsky, N. (1979). Language and responsibility. New York: Pantheon.■ Chomsky, N. (1986). Knowledge of language: Its nature, origin and use. New York: Praeger Special Studies.■ Churchland, P. (1979). Scientific realism and the plasticity of mind. New York: Cambridge University Press.■ Churchland, P. M. (1989). A neurocomputational perspective: The nature of mind and the structure of science. Cambridge, MA: MIT Press.■ Churchland, P. S. (1986). Neurophilosophy. Cambridge, MA: MIT Press/Bradford Books.■ Clark, A. (1996). Philosophical Foundations. In M. A. Boden (Ed.), Artificial in telligence (2nd ed.). San Diego: Academic Press.■ Clark, H. H., & T. B. Carlson (1981). Context for comprehension. In J. Long & A. Baddeley (Eds.), Attention and performance (Vol. 9, pp. 313-330). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Clarke, A. C. (1984). Profiles of the future: An inquiry into the limits of the possible. New York: Holt, Rinehart & Winston.■ Claxton, G. (1980). Cognitive psychology: A suitable case for what sort of treatment? In G. Claxton (Ed.), Cognitive psychology: New directions (pp. 1-25). London: Routledge & Kegan Paul.■ Code, M. (1985). Order and organism. Albany, NY: State University of New York Press.■ Collingwood, R. G. (1972). The idea of history. New York: Oxford University Press.■ Coopersmith, S. (1967). The antecedents of self- esteem. San Francisco: W. H. Freeman.■ Copland, A. (1952). Music and imagination. London: Oxford University Press.■ Coren, S. (1994). The intelligence of dogs. New York: Bantam Books.■ Cottingham, J. (Ed.) (1996). Western philosophy: An anthology. Oxford: Blackwell Publishers.■ Cox, C. (1926). The early mental traits of three hundred geniuses. Stanford, CA: Stanford University Press.■ Craik, K.J.W. (1943). The nature of explanation. Cambridge: Cambridge University Press.■ Cronbach, L. J. (1990). Essentials of psychological testing (5th ed.). New York: HarperCollins.■ Cronbach, L. J., & R. E. Snow (1977). Aptitudes and instructional methods. New York: Irvington. Paperback edition, 1981.■ Csikszentmihalyi, M. (1993). The evolving self. New York: Harper Perennial.■ Culler, J. (1976). Ferdinand de Saussure. New York: Penguin Books.■ Curtius, E. R. (1973). European literature and the Latin Middle Ages. W. R. Trask (Trans.). Princeton, NJ: Princeton University Press.■ D'Alembert, J.L.R. (1963). Preliminary discourse to the encyclopedia of Diderot. R. N. Schwab (Trans.). Indianapolis: Bobbs-Merrill.■ Dampier, W. C. (1966). A history of modern science. Cambridge: Cambridge University Press.■ Darwin, C. (1911). The life and letters of Charles Darwin (Vol. 1). Francis Darwin (Ed.). New York: Appleton.■ Davidson, D. (1970) Mental events. In L. Foster & J. W. Swanson (Eds.), Experience and theory (pp. 79-101). Amherst: University of Massachussetts Press.■ Davies, P. (1995). About time: Einstein's unfinished revolution. New York: Simon & Schuster/Touchstone.■ Davis, R., & J. J. King (1977). An overview of production systems. In E. Elcock & D. Michie (Eds.), Machine intelligence 8. Chichester, England: Ellis Horwood.■ Davis, R., & D. B. Lenat (1982). Knowledge- based systems in artificial intelligence. New York: McGraw-Hill.■ Dawkins, R. (1982). The extended phenotype: The gene as the unit of selection. Oxford: W. H. Freeman.■ deKleer, J., & J. S. Brown (1983). Assumptions and ambiguities in mechanistic mental models (1983). In D. Gentner & A. L. Stevens (Eds.), Mental modes (pp. 155-190). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Dennett, D. C. (1978a). Brainstorms: Philosophical essays on mind and psychology. Montgomery, VT: Bradford Books.■ Dennett, D. C. (1978b). Toward a cognitive theory of consciousness. In D. C. Dennett, Brainstorms: Philosophical Essays on Mind and Psychology. Montgomery, VT: Bradford Books.■ Dennett, D. C. (1995). Darwin's dangerous idea: Evolution and the meanings of life. New York: Simon & Schuster/Touchstone.■ Descartes, R. (1897-1910). Traite de l'homme. In Oeuvres de Descartes (Vol. 11, pp. 119-215). Paris: Charles Adam & Paul Tannery. (Originally published in 1634.)■ Descartes, R. (1950). Discourse on method. L. J. Lafleur (Trans.). New York: Liberal Arts Press. (Originally published in 1637.)■ Descartes, R. (1951). Meditation on first philosophy. L. J. Lafleur (Trans.). New York: Liberal Arts Press. (Originally published in 1641.)■ Descartes, R. (1955). The philosophical works of Descartes. E. S. Haldane and G.R.T. Ross (Trans.). New York: Dover. (Originally published in 1911 by Cambridge University Press.)■ Descartes, R. (1967). Discourse on method (Pt. V). In E. S. Haldane and G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 106-118). Cambridge: Cambridge University Press. (Originally published in 1637.)■ Descartes, R. (1970a). Discourse on method. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 181-200). Cambridge: Cambridge University Press. (Originally published in 1637.)■ Descartes, R. (1970b). Principles of philosophy. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 178-291). Cambridge: Cambridge University Press. (Originally published in 1644.)■ Descartes, R. (1984). Meditations on first philosophy. In J. Cottingham, R. Stoothoff & D. Murduch (Trans.), The philosophical works of Descartes (Vol. 2). Cambridge: Cambridge University Press. (Originally published in 1641.)■ Descartes, R. (1986). Meditations on first philosophy. J. Cottingham (Trans.). Cambridge: Cambridge University Press. (Originally published in 1641 as Med itationes de prima philosophia.)■ deWulf, M. (1956). An introduction to scholastic philosophy. Mineola, NY: Dover Books.■ Dixon, N. F. (1981). Preconscious processing. London: Wiley.■ Doyle, A. C. (1986). The Boscombe Valley mystery. In Sherlock Holmes: The com plete novels and stories (Vol. 1). New York: Bantam.■ Dreyfus, H., & S. Dreyfus (1986). Mind over machine. New York: Free Press.■ Dreyfus, H. L. (1972). What computers can't do: The limits of artificial intelligence (revised ed.). New York: Harper & Row.■ Dreyfus, H. L., & S. E. Dreyfus (1986). Mind over machine: The power of human intuition and expertise in the era of the computer. New York: Free Press.■ Edelman, G. M. (1992). Bright air, brilliant fire: On the matter of the mind. New York: Basic Books.■ Ehrenzweig, A. (1967). The hidden order of art. London: Weidenfeld & Nicolson.■ Einstein, A., & L. Infeld (1938). The evolution of physics. New York: Simon & Schuster.■ Eisenstein, S. (1947). Film sense. New York: Harcourt, Brace & World.■ Everdell, W. R. (1997). The first moderns. Chicago: University of Chicago Press.■ Eysenck, M. W. (1977). Human memory: Theory, research and individual difference. Oxford: Pergamon.■ Eysenck, M. W. (1982). Attention and arousal: Cognition and performance. Berlin: Springer.■ Eysenck, M. W. (1984). A handbook of cognitive psychology. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Fancher, R. E. (1979). Pioneers of psychology. New York: W. W. Norton.■ Farrell, B. A. (1981). The standing of psychoanalysis. New York: Oxford University Press.■ Feldman, D. H. (1980). Beyond universals in cognitive development. Norwood, NJ: Ablex.■ Fetzer, J. H. (1996). Philosophy and cognitive science (2nd ed.). New York: Paragon House.■ Finke, R. A. (1990). Creative imagery: Discoveries and inventions in visualization. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Flanagan, O. (1991). The science of the mind. Cambridge MA: MIT Press/Bradford Books.■ Fodor, J. (1983). The modularity of mind. Cambridge, MA: MIT Press/Bradford Books.■ Frege, G. (1972). Conceptual notation. T. W. Bynum (Trans.). Oxford: Clarendon Press. (Originally published in 1879.)■ Frege, G. (1979). Logic. In H. Hermes, F. Kambartel & F. Kaulbach (Eds.), Gottlob Frege: Posthumous writings. Chicago: University of Chicago Press. (Originally published in 1879-1891.)■ Freud, S. (1959). Creative writers and day-dreaming. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 9, pp. 143-153). London: Hogarth Press.■ Freud, S. (1966). Project for a scientific psychology. In J. Strachey (Ed.), The stan dard edition of the complete psychological works of Sigmund Freud (Vol. 1, pp. 295-398). London: Hogarth Press. (Originally published in 1950 as Aus den AnfaЁngen der Psychoanalyse, in London by Imago Publishing.)■ Freud, S. (1976). Lecture 18-Fixation to traumas-the unconscious. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 16, p. 285). London: Hogarth Press.■ Galileo, G. (1990). Il saggiatore [The assayer]. In S. Drake (Ed.), Discoveries and opinions of Galileo. New York: Anchor Books. (Originally published in 1623.)■ Gassendi, P. (1970). Letter to Descartes. In "Objections and replies." In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 2, pp. 179-240). Cambridge: Cambridge University Press. (Originally published in 1641.)■ Gazzaniga, M. S. (1988). Mind matters: How mind and brain interact to create our conscious lives. Boston: Houghton Mifflin in association with MIT Press/Bradford Books.■ Genesereth, M. R., & N. J. Nilsson (1987). Logical foundations of artificial intelligence. Palo Alto, CA: Morgan Kaufmann.■ Ghiselin, B. (1952). The creative process. New York: Mentor.■ Ghiselin, B. (1985). The creative process. Berkeley, CA: University of California Press. (Originally published in 1952.)■ Gilhooly, K. J. (1996). Thinking: Directed, undirected and creative (3rd ed.). London: Academic Press.■ Glass, A. L., K. J. Holyoak & J. L. Santa (1979). Cognition. Reading, MA: AddisonWesley.■ Goody, J. (1977). The domestication of the savage mind. Cambridge: Cambridge University Press.■ Gruber, H. E. (1980). Darwin on man: A psychological study of scientific creativity (2nd ed.). Chicago: University of Chicago Press.■ Gruber, H. E., & S. Davis (1988). Inching our way up Mount Olympus: The evolving systems approach to creative thinking. In R. J. Sternberg (Ed.), The nature of creativity: Contemporary psychological perspectives. Cambridge: Cambridge University Press.■ Guthrie, E. R. (1972). The psychology of learning. New York: Harper. (Originally published in 1935.)■ Habermas, J. (1972). Knowledge and human interests. Boston: Beacon Press.■ Hadamard, J. (1945). The psychology of invention in the mathematical field. Princeton, NJ: Princeton University Press.■ Hand, D. J. (1985). Artificial intelligence and psychiatry. Cambridge: Cambridge University Press.■ Harris, M. (1981). The language myth. London: Duckworth.■ Haugeland, J. (Ed.) (1981). Mind design: Philosophy, psychology, artificial intelligence. Cambridge, MA: MIT Press/Bradford Books.■ Haugeland, J. (1981a). The nature and plausibility of cognitivism. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 243-281). Cambridge, MA: MIT Press.■ Haugeland, J. (1981b). Semantic engines: An introduction to mind design. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 1-34). Cambridge, MA: MIT Press/Bradford Books.■ Haugeland, J. (1985). Artificial intelligence: The very idea. Cambridge, MA: MIT Press.■ Hawkes, T. (1977). Structuralism and semiotics. Berkeley: University of California Press.■ Hebb, D. O. (1949). The organisation of behaviour. New York: Wiley.■ Hebb, D. O. (1958). A textbook of psychology. Philadelphia: Saunders.■ Hegel, G.W.F. (1910). The phenomenology of mind. J. B. Baille (Trans.). London: Sonnenschein. (Originally published as Phaenomenologie des Geistes, 1807.)■ Heisenberg, W. (1958). Physics and philosophy. New York: Harper & Row.■ Hempel, C. G. (1966). Philosophy of natural science. Englewood Cliffs, NJ: PrenticeHall.■ Herman, A. (1997). The idea of decline in Western history. New York: Free Press.■ Herrnstein, R. J., & E. G. Boring (Eds.) (1965). A source book in the history of psy chology. Cambridge, MA: Harvard University Press.■ Herzmann, E. (1964). Mozart's creative process. In P. H. Lang (Ed.), The creative world of Mozart (pp. 17-30). London: Oldbourne Press.■ Hilgard, E. R. (1957). Introduction to psychology. London: Methuen.■ Hobbes, T. (1651). Leviathan. London: Crooke.■ Holliday, S. G., & M. J. Chandler (1986). Wisdom: Explorations in adult competence. Basel, Switzerland: Karger.■ Horn, J. L. (1986). In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 3). Hillsdale, NJ: Erlbaum.■ Hull, C. (1943). Principles of behavior. New York: Appleton-Century-Crofts.■ Hume, D. (1955). An inquiry concerning human understanding. New York: Liberal Arts Press. (Originally published in 1748.)■ Hume, D. (1975). An enquiry concerning human understanding. In L. A. SelbyBigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (Spelling and punctuation revised.) (Originally published in 1748.)■ Hume, D. (1978). A treatise of human nature. L. A. Selby-Bigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (With some modifications of spelling and punctuation.) (Originally published in 1690.)■ Hunt, E. (1973). The memory we must have. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language. (pp. 343-371) San Francisco: W. H. Freeman.■ Husserl, E. (1960). Cartesian meditations. The Hague: Martinus Nijhoff.■ Inhelder, B., & J. Piaget (1958). The growth of logical thinking from childhood to adolescence. New York: Basic Books. (Originally published in 1955 as De la logique de l'enfant a` la logique de l'adolescent. [Paris: Presses Universitaire de France])■ James, W. (1890a). The principles of psychology (Vol. 1). New York: Dover Books.■ James, W. (1890b). The principles of psychology. New York: Henry Holt.■ Jevons, W. S. (1900). The principles of science (2nd ed.). London: Macmillan.■ Johnson, G. (1986). Machinery of the mind: Inside the new science of artificial intelli gence. New York: Random House.■ Johnson-Laird, P. N. (1983). Mental models: Toward a cognitive science of language, inference, and consciousness. Cambridge, MA: Harvard University Press.■ Johnson-Laird, P. N. (1988). The computer and the mind: An introduction to cognitive science. Cambridge, MA: Harvard University Press.■ Jones, E. (1961). The life and work of Sigmund Freud. L. Trilling & S. Marcus (Eds.). London: Hogarth.■ Jones, R. V. (1985). Complementarity as a way of life. In A. P. French & P. J. Kennedy (Eds.), Niels Bohr: A centenary volume. Cambridge, MA: Harvard University Press.■ Kant, I. (1933). Critique of Pure Reason (2nd ed.). N. K. Smith (Trans.). London: Macmillan. (Originally published in 1781 as Kritik der reinen Vernunft.)■ Kant, I. (1891). Solution of the general problems of the Prolegomena. In E. Belfort (Trans.), Kant's Prolegomena. London: Bell. (With minor modifications.) (Originally published in 1783.)■ Katona, G. (1940). Organizing and memorizing: Studies in the psychology of learning and teaching. New York: Columbia University Press.■ Kaufman, A. S. (1979). Intelligent testing with the WISC-R. New York: Wiley.■ Koestler, A. (1964). The act of creation. New York: Arkana (Penguin).■ Kohlberg, L. (1971). From is to ought. In T. Mischel (Ed.), Cognitive development and epistemology. (pp. 151-235) New York: Academic Press.■ KoЁhler, W. (1925). The mentality of apes. New York: Liveright.■ KoЁhler, W. (1927). The mentality of apes (2nd ed.). Ella Winter (Trans.). London: Routledge & Kegan Paul.■ KoЁhler, W. (1930). Gestalt psychology. London: G. Bell.■ KoЁhler, W. (1947). Gestalt psychology. New York: Liveright.■ KoЁhler, W. (1969). The task of Gestalt psychology. Princeton, NJ: Princeton University Press.■ Kuhn, T. (1970). The structure of scientific revolutions (2nd ed.). Chicago: University of Chicago Press.■ Langer, E. J. (1989). Mindfulness. Reading, MA: Addison-Wesley.■ Langer, S. (1962). Philosophical sketches. Baltimore: Johns Hopkins University Press.■ Langley, P., H. A. Simon, G. L. Bradshaw & J. M. Zytkow (1987). Scientific dis covery: Computational explorations of the creative process. Cambridge, MA: MIT Press.■ Lashley, K. S. (1951). The problem of serial order in behavior. In L. A. Jeffress (Ed.), Cerebral mechanisms in behavior, the Hixon Symposium (pp. 112-146) New York: Wiley.■ LeDoux, J. E., & W. Hirst (1986). Mind and brain: Dialogues in cognitive neuroscience. Cambridge: Cambridge University Press.■ Lehnert, W. (1978). The process of question answering. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Leiber, J. (1991). Invitation to cognitive science. Oxford: Blackwell.■ Lenat, D. B., & G. Harris (1978). Designing a rule system that searches for scientific discoveries. In D. A. Waterman & F. Hayes-Roth (Eds.), Pattern directed inference systems (pp. 25-52) New York: Academic Press.■ Levenson, T. (1995). Measure for measure: A musical history of science. New York: Touchstone. (Originally published in 1994.)■ Leґvi-Strauss, C. (1963). Structural anthropology. C. Jacobson & B. Grundfest Schoepf (Trans.). New York: Basic Books. (Originally published in 1958.)■ Levine, M. W., & J. M. Schefner (1981). Fundamentals of sensation and perception. London: Addison-Wesley.■ Lewis, C. I. (1946). An analysis of knowledge and valuation. LaSalle, IL: Open Court.■ Lighthill, J. (1972). A report on artificial intelligence. Unpublished manuscript, Science Research Council.■ Lipman, M., A. M. Sharp & F. S. Oscanyan (1980). Philosophy in the classroom. Philadelphia: Temple University Press.■ Lippmann, W. (1965). Public opinion. New York: Free Press. (Originally published in 1922.)■ Locke, J. (1956). An essay concerning human understanding. Chicago: Henry Regnery Co. (Originally published in 1690.)■ Locke, J. (1975). An essay concerning human understanding. P. H. Nidditch (Ed.). Oxford: Clarendon. (Originally published in 1690.) (With spelling and punctuation modernized and some minor modifications of phrasing.)■ Lopate, P. (1994). The art of the personal essay. New York: Doubleday/Anchor Books.■ Lorimer, F. (1929). The growth of reason. London: Kegan Paul. Machlup, F., & U. Mansfield (Eds.) (1983). The study of information. New York: Wiley.■ Manguel, A. (1996). A history of reading. New York: Viking.■ Markey, J. F. (1928). The symbolic process. London: Kegan Paul.■ Martin, R. M. (1969). On Ziff's "Natural and formal languages." In S. Hook (Ed.), Language and philosophy: A symposium (pp. 249-263). New York: New York University Press.■ Mazlish, B. (1993). The fourth discontinuity: the co- evolution of humans and machines. New Haven, CT: Yale University Press.■ McCarthy, J., & P. J. Hayes (1969). Some philosophical problems from the standpoint of artificial intelligence. In B. Meltzer & D. Michie (Eds.), Machine intelligence 4. Edinburgh: Edinburgh University Press.■ McClelland, J. L., D. E. Rumelhart & G. E. Hinton (1986). The appeal of parallel distributed processing. In D. E. Rumelhart, J. L. McClelland & the PDP Research Group (Eds.), Parallel distributed processing: Explorations in the mi crostructure of cognition (Vol. 1, pp. 3-40). Cambridge, MA: MIT Press/ Bradford Books.■ McCorduck, P. (1979). Machines who think. San Francisco: W. H. Freeman.■ McLaughlin, T. (1970). Music and communication. London: Faber & Faber.■ Mednick, S. A. (1962). The associative basis of the creative process. Psychological Review 69, 431-436.■ Meehl, P. E., & C. J. Golden (1982). Taxometric methods. In Kendall, P. C., & Butcher, J. N. (Eds.), Handbook of research methods in clinical psychology (pp. 127-182). New York: Wiley.■ Mehler, J., E.C.T. Walker & M. Garrett (Eds.) (1982). Perspectives on mental rep resentation: Experimental and theoretical studies of cognitive processes and ca pacities. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Mill, J. S. (1900). A system of logic, ratiocinative and inductive: Being a connected view of the principles of evidence and the methods of scientific investigation. London: Longmans, Green.■ Miller, G. A. (1979, June). A very personal history. Talk to the Cognitive Science Workshop, Cambridge, MA.■ Miller, J. (1983). States of mind. New York: Pantheon Books.■ Minsky, M. (1975). A framework for representing knowledge. In P. H. Winston (Ed.), The psychology of computer vision (pp. 211-277). New York: McGrawHill.■ Minsky, M., & S. Papert (1973). Artificial intelligence. Condon Lectures, Oregon State System of Higher Education, Eugene, Oregon.■ Minsky, M. L. (1986). The society of mind. New York: Simon & Schuster.■ Mischel, T. (1976). Psychological explanations and their vicissitudes. In J. K. Cole & W. J. Arnold (Eds.), Nebraska Symposium on motivation (Vol. 23). Lincoln, NB: University of Nebraska Press.■ Morford, M.P.O., & R. J. Lenardon (1995). Classical mythology (5th ed.). New York: Longman.■ Murdoch, I. (1954). Under the net. New York: Penguin.■ Nagel, E. (1959). Methodological issues in psychoanalytic theory. In S. Hook (Ed.), Psychoanalysis, scientific method, and philosophy: A symposium. New York: New York University Press.■ Nagel, T. (1979). Mortal questions. London: Cambridge University Press.■ Nagel, T. (1986). The view from nowhere. Oxford: Oxford University Press.■ Neisser, U. (1967). Cognitive psychology. New York: Appleton-Century-Crofts.■ Neisser, U. (1972). Changing conceptions of imagery. In P. W. Sheehan (Ed.), The function and nature of imagery (pp. 233-251). London: Academic Press.■ Neisser, U. (1976). Cognition and reality. San Francisco: W. H. Freeman.■ Neisser, U. (1978). Memory: What are the important questions? In M. M. Gruneberg, P. E. Morris & R. N. Sykes (Eds.), Practical aspects of memory (pp. 3-24). London: Academic Press.■ Neisser, U. (1979). The concept of intelligence. In R. J. Sternberg & D. K. Detterman (Eds.), Human intelligence: Perspectives on its theory and measurement (pp. 179-190). Norwood, NJ: Ablex.■ Nersessian, N. (1992). How do scientists think? Capturing the dynamics of conceptual change in science. In R. N. Giere (Ed.), Cognitive models of science (pp. 3-44). Minneapolis: University of Minnesota Press.■ Newell, A. (1973a). Artificial intelligence and the concept of mind. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 1-60). San Francisco: W. H. Freeman.■ Newell, A. (1973b). You can't play 20 questions with nature and win. In W. G. Chase (Ed.), Visual information processing (pp. 283-310). New York: Academic Press.■ Newell, A., & H. A. Simon (1963). GPS: A program that simulates human thought. In E. A. Feigenbaum & J. Feldman (Eds.), Computers and thought (pp. 279-293). New York & McGraw-Hill.■ Newell, A., & H. A. Simon (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.■ Nietzsche, F. (1966). Beyond good and evil. W. Kaufmann (Trans.). New York: Vintage. (Originally published in 1885.)■ Nilsson, N. J. (1971). Problem- solving methods in artificial intelligence. New York: McGraw-Hill.■ Nussbaum, M. C. (1978). Aristotle's Princeton University Press. De Motu Anamalium. Princeton, NJ:■ Oersted, H. C. (1920). Thermo-electricity. In Kirstine Meyer (Ed.), H. C. Oersted, Natuurvidenskabelige Skrifter (Vol. 2). Copenhagen: n.p. (Originally published in 1830 in The Edinburgh encyclopaedia.)■ Ong, W. J. (1982). Orality and literacy: The technologizing of the word. London: Methuen.■ Onians, R. B. (1954). The origins of European thought. Cambridge, MA: Cambridge University Press.■ Osgood, C. E. (1960). Method and theory in experimental psychology. New York: Oxford University Press. (Originally published in 1953.)■ Osgood, C. E. (1966). Language universals and psycholinguistics. In J. H. Greenberg (Ed.), Universals of language (2nd ed., pp. 299-322). Cambridge, MA: MIT Press.■ Palmer, R. E. (1969). Hermeneutics. Evanston, IL: Northwestern University Press.■ Peirce, C. S. (1934). Some consequences of four incapacities-Man, a sign. In C. Hartsborne & P. Weiss (Eds.), Collected papers of Charles Saunders Peirce (Vol. 5, pp. 185-189). Cambridge, MA: Harvard University Press.■ Penfield, W. (1959). In W. Penfield & L. Roberts, Speech and brain mechanisms. Princeton, NJ: Princeton University Press.■ Penrose, R. (1994). Shadows of the mind: A search for the missing science of conscious ness. Oxford: Oxford University Press.■ Perkins, D. N. (1981). The mind's best work. Cambridge, MA: Harvard University Press.■ Peterfreund, E. (1986). The heuristic approach to psychoanalytic therapy. In■ J. Reppen (Ed.), Analysts at work, (pp. 127-144). Hillsdale, NJ: Analytic Press.■ Piaget, J. (1952). The origin of intelligence in children. New York: International Universities Press. (Originally published in 1936.)■ Piaget, J. (1954). Le langage et les opeґrations intellectuelles. Proble` mes de psycho linguistique. Symposium de l'Association de Psychologie Scientifique de Langue Francёaise. Paris: Presses Universitaires de France.■ Piaget, J. (1977). Problems of equilibration. In H. E. Gruber & J. J. Voneche (Eds.), The essential Piaget (pp. 838-841). London: Routlege & Kegan Paul. (Originally published in 1975 as L'eґquilibration des structures cognitives [Paris: Presses Universitaires de France].)■ Piaget, J., & B. Inhelder. (1973). Memory and intelligence. New York: Basic Books.■ Pinker, S. (1994). The language instinct. New York: Morrow.■ Pinker, S. (1996). Facts about human language relevant to its evolution. In J.-P. Changeux & J. Chavaillon (Eds.), Origins of the human brain. A symposium of the Fyssen foundation (pp. 262-283). Oxford: Clarendon Press. Planck, M. (1949). Scientific autobiography and other papers. F. Gaynor (Trans.). New York: Philosophical Library.■ Planck, M. (1990). Wissenschaftliche Selbstbiographie. W. Berg (Ed.). Halle, Germany: Deutsche Akademie der Naturforscher Leopoldina.■ Plato (1892). Meno. In The Dialogues of Plato (B. Jowett, Trans.; Vol. 2). New York: Clarendon. (Originally published circa 380 B.C.)■ Poincareґ, H. (1913). Mathematical creation. In The foundations of science. G. B. Halsted (Trans.). New York: Science Press.■ Poincareґ, H. (1921). The foundations of science: Science and hypothesis, the value of science, science and method. G. B. Halstead (Trans.). New York: Science Press.■ Poincareґ, H. (1929). The foundations of science: Science and hypothesis, the value of science, science and method. New York: Science Press.■ Poincareґ, H. (1952). Science and method. F. Maitland (Trans.) New York: Dover.■ Polya, G. (1945). How to solve it. Princeton, NJ: Princeton University Press.■ Polanyi, M. (1958). Personal knowledge. London: Routledge & Kegan Paul.■ Popper, K. (1968). Conjectures and refutations: The growth of scientific knowledge. New York: Harper & Row/Basic Books.■ Popper, K., & J. Eccles (1977). The self and its brain. New York: Springer-Verlag.■ Popper, K. R. (1959). The logic of scientific discovery. London: Hutchinson.■ Putnam, H. (1975). Mind, language and reality: Philosophical papers (Vol. 2). Cambridge: Cambridge University Press.■ Putnam, H. (1987). The faces of realism. LaSalle, IL: Open Court.■ Pylyshyn, Z. W. (1981). The imagery debate: Analog media versus tacit knowledge. In N. Block (Ed.), Imagery (pp. 151-206). Cambridge, MA: MIT Press.■ Pylyshyn, Z. W. (1984). Computation and cognition: Towards a foundation for cog nitive science. Cambridge, MA: MIT Press/Bradford Books.■ Quillian, M. R. (1968). Semantic memory. In M. Minsky (Ed.), Semantic information processing (pp. 216-260). Cambridge, MA: MIT Press.■ Quine, W.V.O. (1960). Word and object. Cambridge, MA: Harvard University Press.■ Rabbitt, P.M.A., & S. Dornic (Eds.). Attention and performance (Vol. 5). London: Academic Press.■ Rawlins, G.J.E. (1997). Slaves of the Machine: The quickening of computer technology. Cambridge, MA: MIT Press/Bradford Books.■ Reid, T. (1970). An inquiry into the human mind on the principles of common sense. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 151-178). New York: Random House/Modern Library.■ Reitman, W. (1970). What does it take to remember? In D. A. Norman (Ed.), Models of human memory (pp. 470-510). London: Academic Press.■ Ricoeur, P. (1974). Structure and hermeneutics. In D. I. Ihde (Ed.), The conflict of interpretations: Essays in hermeneutics (pp. 27-61). Evanston, IL: Northwestern University Press.■ Robinson, D. N. (1986). An intellectual history of psychology. Madison: University of Wisconsin Press.■ Rorty, R. (1979). Philosophy and the mirror of nature. Princeton, NJ: Princeton University Press.■ Rosch, E. (1977). Human categorization. In N. Warren (Ed.), Studies in cross cultural psychology (Vol. 1, pp. 1-49) London: Academic Press.■ Rosch, E. (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 27-48). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Rosch, E., & B. B. Lloyd (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Rose, S. (1970). The chemistry of life. Baltimore: Penguin Books.■ Rose, S. (1976). The conscious brain (updated ed.). New York: Random House.■ Rose, S. (1993). The making of memory: From molecules to mind. New York: Anchor Books. (Originally published in 1992)■ Roszak, T. (1994). The cult of information: A neo- Luddite treatise on high- tech, artificial intelligence, and the true art of thinking (2nd ed.). Berkeley: University of California Press.■ Royce, J. R., & W. W. Rozeboom (Eds.) (1972). The psychology of knowing. New York: Gordon & Breach.■ Rumelhart, D. E. (1977). Introduction to human information processing. New York: Wiley.■ Rumelhart, D. E. (1980). Schemata: The building blocks of cognition. In R. J. Spiro, B. Bruce & W. F. Brewer (Eds.), Theoretical issues in reading comprehension. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Rumelhart, D. E., & J. L. McClelland (1986). On learning the past tenses of English verbs. In J. L. McClelland & D. E. Rumelhart (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition (Vol. 2). Cambridge, MA: MIT Press.■ Rumelhart, D. E., P. Smolensky, J. L. McClelland & G. E. Hinton (1986). Schemata and sequential thought processes in PDP models. In J. L. McClelland, D. E. Rumelhart & the PDP Research Group (Eds.), Parallel Distributed Processing (Vol. 2, pp. 7-57). Cambridge, MA: MIT Press.■ Russell, B. (1927). An outline of philosophy. London: G. Allen & Unwin.■ Russell, B. (1961). History of Western philosophy. London: George Allen & Unwin.■ Russell, B. (1965). How I write. In Portraits from memory and other essays. London: Allen & Unwin.■ Russell, B. (1992). In N. Griffin (Ed.), The selected letters of Bertrand Russell (Vol. 1), The private years, 1884- 1914. Boston: Houghton Mifflin. Ryecroft, C. (1966). Psychoanalysis observed. London: Constable.■ Sagan, C. (1978). The dragons of Eden: Speculations on the evolution of human intel ligence. New York: Ballantine Books.■ Salthouse, T. A. (1992). Expertise as the circumvention of human processing limitations. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.■ Sanford, A. J. (1987). The mind of man: Models of human understanding. New Haven, CT: Yale University Press.■ Sapir, E. (1921). Language. New York: Harcourt, Brace, and World.■ Sapir, E. (1964). Culture, language, and personality. Berkeley: University of California Press. (Originally published in 1941.)■ Sapir, E. (1985). The status of linguistics as a science. In D. G. Mandelbaum (Ed.), Selected writings of Edward Sapir in language, culture and personality (pp. 160166). Berkeley: University of California Press. (Originally published in 1929).■ Scardmalia, M., & C. Bereiter (1992). Literate expertise. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.■ Schafer, R. (1954). Psychoanalytic interpretation in Rorschach testing. New York: Grune & Stratten.■ Schank, R. C. (1973). Identification of conceptualizations underlying natural language. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 187-248). San Francisco: W. H. Freeman.■ Schank, R. C. (1976). The role of memory in language processing. In C. N. Cofer (Ed.), The structure of human memory. (pp. 162-189) San Francisco: W. H. Freeman.■ Schank, R. C. (1986). Explanation patterns: Understanding mechanically and creatively. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Schank, R. C., & R. P. Abelson (1977). Scripts, plans, goals, and understanding. Hillsdale, NJ: Lawrence Erlbaum Associates.■ SchroЁdinger, E. (1951). Science and humanism. Cambridge: Cambridge University Press.■ Searle, J. R. (1981a). Minds, brains, and programs. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 282-306). Cambridge, MA: MIT Press.■ Searle, J. R. (1981b). Minds, brains and programs. In D. Hofstadter & D. Dennett (Eds.), The mind's I (pp. 353-373). New York: Basic Books.■ Searle, J. R. (1983). Intentionality. New York: Cambridge University Press.■ Serres, M. (1982). The origin of language: Biology, information theory, and thermodynamics. M. Anderson (Trans.). In J. V. Harari & D. F. Bell (Eds.), Hermes: Literature, science, philosophy (pp. 71-83). Baltimore: Johns Hopkins University Press.■ Simon, H. A. (1966). Scientific discovery and the psychology of problem solving. In R. G. Colodny (Ed.), Mind and cosmos: Essays in contemporary science and philosophy (pp. 22-40). Pittsburgh: University of Pittsburgh Press.■ Simon, H. A. (1979). Models of thought. New Haven, CT: Yale University Press.■ Simon, H. A. (1989). The scientist as a problem solver. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert Simon. Hillsdale, N.J.: Lawrence Erlbaum Associates.■ Simon, H. A., & C. Kaplan (1989). Foundations of cognitive science. In M. Posner (Ed.), Foundations of cognitive science (pp. 1-47). Cambridge, MA: MIT Press.■ Simonton, D. K. (1988). Creativity, leadership and chance. In R. J. Sternberg (Ed.), The nature of creativity. Cambridge: Cambridge University Press.■ Skinner, B. F. (1974). About behaviorism. New York: Knopf.■ Smith, E. E. (1988). Concepts and thought. In J. Sternberg & E. E. Smith (Eds.), The psychology of human thought (pp. 19-49). Cambridge: Cambridge University Press.■ Smith, E. E. (1990). Thinking: Introduction. In D. N. Osherson & E. E. Smith (Eds.), Thinking. An invitation to cognitive science. (Vol. 3, pp. 1-2). Cambridge, MA: MIT Press.■ Socrates. (1958). Meno. In E. H. Warmington & P. O. Rouse (Eds.), Great dialogues of Plato W.H.D. Rouse (Trans.). New York: New American Library. (Original publication date unknown.)■ Solso, R. L. (1974). Theories of retrieval. In R. L. Solso (Ed.), Theories in cognitive psychology. Potomac, MD: Lawrence Erlbaum Associates.■ Spencer, H. (1896). The principles of psychology. New York: Appleton-CenturyCrofts.■ Steiner, G. (1975). After Babel: Aspects of language and translation. New York: Oxford University Press.■ Sternberg, R. J. (1977). Intelligence, information processing, and analogical reasoning. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Sternberg, R. J. (1994). Intelligence. In R. J. Sternberg, Thinking and problem solving. San Diego: Academic Press.■ Sternberg, R. J., & J. E. Davidson (1985). Cognitive development in gifted and talented. In F. D. Horowitz & M. O'Brien (Eds.), The gifted and talented (pp. 103-135). Washington, DC: American Psychological Association.■ Storr, A. (1993). The dynamics of creation. New York: Ballantine Books. (Originally published in 1972.)■ Stumpf, S. E. (1994). Philosophy: History and problems (5th ed.). New York: McGraw-Hill.■ Sulloway, F. J. (1996). Born to rebel: Birth order, family dynamics, and creative lives. New York: Random House/Vintage Books.■ Thorndike, E. L. (1906). Principles of teaching. New York: A. G. Seiler.■ Thorndike, E. L. (1970). Animal intelligence: Experimental studies. Darien, CT: Hafner Publishing Co. (Originally published in 1911.)■ Titchener, E. B. (1910). A textbook of psychology. New York: Macmillan.■ Titchener, E. B. (1914). A primer of psychology. New York: Macmillan.■ Toulmin, S. (1957). The philosophy of science. London: Hutchinson.■ Tulving, E. (1972). Episodic and semantic memory. In E. Tulving & W. Donaldson (Eds.), Organisation of memory. London: Academic Press.■ Turing, A. (1946). In B. E. Carpenter & R. W. Doran (Eds.), ACE reports of 1946 and other papers. Cambridge, MA: MIT Press.■ Turkle, S. (1984). Computers and the second self: Computers and the human spirit. New York: Simon & Schuster.■ Tyler, S. A. (1978). The said and the unsaid: Mind, meaning, and culture. New York: Academic Press.■ van Heijenoort (Ed.) (1967). From Frege to Goedel. Cambridge: Harvard University Press.■ Varela, F. J. (1984). The creative circle: Sketches on the natural history of circularity. In P. Watzlawick (Ed.), The invented reality (pp. 309-324). New York: W. W. Norton.■ Voltaire (1961). On the Penseґs of M. Pascal. In Philosophical letters (pp. 119-146). E. Dilworth (Trans.). Indianapolis: Bobbs-Merrill.■ Wagman, M. (1991a). Artificial intelligence and human cognition: A theoretical inter comparison of two realms of intellect. Westport, CT: Praeger.■ Wagman, M. (1991b). Cognitive science and concepts of mind: Toward a general theory of human and artificial intelligence. Westport, CT: Praeger.■ Wagman, M. (1993). Cognitive psychology and artificial intelligence: Theory and re search in cognitive science. Westport, CT: Praeger.■ Wagman, M. (1995). The sciences of cognition: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wagman, M. (1996). Human intellect and cognitive science: Toward a general unified theory of intelligence. Westport, CT: Praeger.■ Wagman, M. (1997a). Cognitive science and the symbolic operations of human and artificial intelligence: Theory and research into the intellective processes. Westport, CT: Praeger.■ Wagman, M. (1997b). The general unified theory of intelligence: Central conceptions and specific application to domains of cognitive science. Westport, CT: Praeger.■ Wagman, M. (1998a). Cognitive science and the mind- body problem: From philosophy to psychology to artificial intelligence to imaging of the brain. Westport, CT: Praeger.■ Wagman, M. (1998b). Language and thought in humans and computers: Theory and research in psychology, artificial intelligence, and neural science. Westport, CT: Praeger.■ Wagman, M. (1998c). The ultimate objectives of artificial intelligence: Theoretical and research foundations, philosophical and psychological implications. Westport, CT: Praeger.■ Wagman, M. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. Westport, CT: Praeger.■ Wagman, M. (2000). Scientific discovery processes in humans and computers: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wall, R. (1972). Introduction to mathematical linguistics. Englewood Cliffs, NJ: Prentice-Hall.■ Wallas, G. (1926). The Art of Thought. New York: Harcourt, Brace & Co.■ Wason, P. (1977). Self contradictions. In P. Johnson-Laird & P. Wason (Eds.), Thinking: Readings in cognitive science. Cambridge: Cambridge University Press.■ Wason, P. C., & P. N. Johnson-Laird. (1972). Psychology of reasoning: Structure and content. Cambridge, MA: Harvard University Press.■ Watson, J. (1930). Behaviorism. New York: W. W. Norton.■ Watzlawick, P. (1984). Epilogue. In P. Watzlawick (Ed.), The invented reality. New York: W. W. Norton, 1984.■ Weinberg, S. (1977). The first three minutes: A modern view of the origin of the uni verse. New York: Basic Books.■ Weisberg, R. W. (1986). Creativity: Genius and other myths. New York: W. H. Freeman.■ Weizenbaum, J. (1976). Computer power and human reason: From judgment to cal culation. San Francisco: W. H. Freeman.■ Wertheimer, M. (1945). Productive thinking. New York: Harper & Bros.■ Whitehead, A. N. (1925). Science and the modern world. New York: Macmillan.■ Whorf, B. L. (1956). In J. B. Carroll (Ed.), Language, thought and reality: Selected writings of Benjamin Lee Whorf. Cambridge, MA: MIT Press.■ Whyte, L. L. (1962). The unconscious before Freud. New York: Anchor Books.■ Wiener, N. (1954). The human use of human beings. Boston: Houghton Mifflin.■ Wiener, N. (1964). God & Golem, Inc.: A comment on certain points where cybernetics impinges on religion. Cambridge, MA: MIT Press.■ Winograd, T. (1972). Understanding natural language. New York: Academic Press.■ Winston, P. H. (1987). Artificial intelligence: A perspective. In E. L. Grimson & R. S. Patil (Eds.), AI in the 1980s and beyond (pp. 1-12). Cambridge, MA: MIT Press.■ Winston, P. H. (Ed.) (1975). The psychology of computer vision. New York: McGrawHill.■ Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.■ Wittgenstein, L. (1958). The blue and brown books. New York: Harper Colophon.■ Woods, W. A. (1975). What's in a link: Foundations for semantic networks. In D. G. Bobrow & A. Collins (Eds.), Representations and understanding: Studies in cognitive science (pp. 35-84). New York: Academic Press.■ Woodworth, R. S. (1938). Experimental psychology. New York: Holt; London: Methuen (1939).■ Wundt, W. (1904). Principles of physiological psychology (Vol. 1). E. B. Titchener (Trans.). New York: Macmillan.■ Wundt, W. (1907). Lectures on human and animal psychology. J. E. Creighton & E. B. Titchener (Trans.). New York: Macmillan.■ Young, J. Z. (1978). Programs of the brain. New York: Oxford University Press.■ Ziman, J. (1978). Reliable knowledge: An exploration of the grounds for belief in science. Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
-
13 Memory
To what extent can we lump together what goes on when you try to recall: (1) your name; (2) how you kick a football; and (3) the present location of your car keys? If we use introspective evidence as a guide, the first seems an immediate automatic response. The second may require constructive internal replay prior to our being able to produce a verbal description. The third... quite likely involves complex operational responses under the control of some general strategy system. Is any unitary search process, with a single set of characteristics and inputoutput relations, likely to cover all these cases? (Reitman, 1970, p. 485)[Semantic memory] Is a mental thesaurus, organized knowledge a person possesses about words and other verbal symbols, their meanings and referents, about relations among them, and about rules, formulas, and algorithms for the manipulation of these symbols, concepts, and relations. Semantic memory does not register perceptible properties of inputs, but rather cognitive referents of input signals. (Tulving, 1972, p. 386)The mnemonic code, far from being fixed and unchangeable, is structured and restructured along with general development. Such a restructuring of the code takes place in close dependence on the schemes of intelligence. The clearest indication of this is the observation of different types of memory organisation in accordance with the age level of a child so that a longer interval of retention without any new presentation, far from causing a deterioration of memory, may actually improve it. (Piaget & Inhelder, 1973, p. 36)4) The Logic of Some Memory Theorization Is of Dubious Worth in the History of PsychologyIf a cue was effective in memory retrieval, then one could infer it was encoded; if a cue was not effective, then it was not encoded. The logic of this theorization is "heads I win, tails you lose" and is of dubious worth in the history of psychology. We might ask how long scientists will puzzle over questions with no answers. (Solso, 1974, p. 28)We have iconic, echoic, active, working, acoustic, articulatory, primary, secondary, episodic, semantic, short-term, intermediate-term, and longterm memories, and these memories contain tags, traces, images, attributes, markers, concepts, cognitive maps, natural-language mediators, kernel sentences, relational rules, nodes, associations, propositions, higher-order memory units, and features. (Eysenck, 1977, p. 4)The problem with the memory metaphor is that storage and retrieval of traces only deals [ sic] with old, previously articulated information. Memory traces can perhaps provide a basis for dealing with the "sameness" of the present experience with previous experiences, but the memory metaphor has no mechanisms for dealing with novel information. (Bransford, McCarrell, Franks & Nitsch, 1977, p. 434)7) The Results of a Hundred Years of the Psychological Study of Memory Are Somewhat DiscouragingThe results of a hundred years of the psychological study of memory are somewhat discouraging. We have established firm empirical generalisations, but most of them are so obvious that every ten-year-old knows them anyway. We have made discoveries, but they are only marginally about memory; in many cases we don't know what to do with them, and wear them out with endless experimental variations. We have an intellectually impressive group of theories, but history offers little confidence that they will provide any meaningful insight into natural behavior. (Neisser, 1978, pp. 12-13)A schema, then is a data structure for representing the generic concepts stored in memory. There are schemata representing our knowledge about all concepts; those underlying objects, situations, events, sequences of events, actions and sequences of actions. A schema contains, as part of its specification, the network of interrelations that is believed to normally hold among the constituents of the concept in question. A schema theory embodies a prototype theory of meaning. That is, inasmuch as a schema underlying a concept stored in memory corresponds to the mean ing of that concept, meanings are encoded in terms of the typical or normal situations or events that instantiate that concept. (Rumelhart, 1980, p. 34)Memory appears to be constrained by a structure, a "syntax," perhaps at quite a low level, but it is free to be variable, deviant, even erratic at a higher level....Like the information system of language, memory can be explained in part by the abstract rules which underlie it, but only in part. The rules provide a basic competence, but they do not fully determine performance. (Campbell, 1982, pp. 228, 229)When people think about the mind, they often liken it to a physical space, with memories and ideas as objects contained within that space. Thus, we speak of ideas being in the dark corners or dim recesses of our minds, and of holding ideas in mind. Ideas may be in the front or back of our minds, or they may be difficult to grasp. With respect to the processes involved in memory, we talk about storing memories, of searching or looking for lost memories, and sometimes of finding them. An examination of common parlance, therefore, suggests that there is general adherence to what might be called the spatial metaphor. The basic assumptions of this metaphor are that memories are treated as objects stored in specific locations within the mind, and the retrieval process involves a search through the mind in order to find specific memories....However, while the spatial metaphor has shown extraordinary longevity, there have been some interesting changes over time in the precise form of analogy used. In particular, technological advances have influenced theoretical conceptualisations.... The original Greek analogies were based on wax tablets and aviaries; these were superseded by analogies involving switchboards, gramophones, tape recorders, libraries, conveyor belts, and underground maps. Most recently, the workings of human memory have been compared to computer functioning... and it has been suggested that the various memory stores found in computers have their counterparts in the human memory system. (Eysenck, 1984, pp. 79-80)Primary memory [as proposed by William James] relates to information that remains in consciousness after it has been perceived, and thus forms part of the psychological present, whereas secondary memory contains information about events that have left consciousness, and are therefore part of the psychological past. (Eysenck, 1984, p. 86)Once psychologists began to study long-term memory per se, they realized it may be divided into two main categories.... Semantic memories have to do with our general knowledge about the working of the world. We know what cars do, what stoves do, what the laws of gravity are, and so on. Episodic memories are largely events that took place at a time and place in our personal history. Remembering specific events about our own actions, about our family, and about our individual past falls into this category. With amnesia or in aging, what dims... is our personal episodic memories, save for those that are especially dear or painful to us. Our knowledge of how the world works remains pretty much intact. (Gazzaniga, 1988, p. 42)The nature of memory... provides a natural starting point for an analysis of thinking. Memory is the repository of many of the beliefs and representations that enter into thinking, and the retrievability of these representations can limit the quality of our thought. (Smith, 1990, p. 1)Historical dictionary of quotations in cognitive science > Memory
-
14 Language
Philosophy is written in that great book, the universe, which is always open, right before our eyes. But one cannot understand this book without first learning to understand the language and to know the characters in which it is written. It is written in the language of mathematics, and the characters are triangles, circles, and other figures. Without these, one cannot understand a single word of it, and just wanders in a dark labyrinth. (Galileo, 1990, p. 232)It never happens that it [a nonhuman animal] arranges its speech in various ways in order to reply appropriately to everything that may be said in its presence, as even the lowest type of man can do. (Descartes, 1970a, p. 116)It is a very remarkable fact that there are none so depraved and stupid, without even excepting idiots, that they cannot arrange different words together, forming of them a statement by which they make known their thoughts; while, on the other hand, there is no other animal, however perfect and fortunately circumstanced it may be, which can do the same. (Descartes, 1967, p. 116)Human beings do not live in the object world alone, nor alone in the world of social activity as ordinarily understood, but are very much at the mercy of the particular language which has become the medium of expression for their society. It is quite an illusion to imagine that one adjusts to reality essentially without the use of language and that language is merely an incidental means of solving specific problems of communication or reflection. The fact of the matter is that the "real world" is to a large extent unconsciously built on the language habits of the group.... We see and hear and otherwise experience very largely as we do because the language habits of our community predispose certain choices of interpretation. (Sapir, 1921, p. 75)It powerfully conditions all our thinking about social problems and processes.... No two languages are ever sufficiently similar to be considered as representing the same social reality. The worlds in which different societies live are distinct worlds, not merely the same worlds with different labels attached. (Sapir, 1985, p. 162)[A list of language games, not meant to be exhaustive:]Giving orders, and obeying them- Describing the appearance of an object, or giving its measurements- Constructing an object from a description (a drawing)Reporting an eventSpeculating about an eventForming and testing a hypothesisPresenting the results of an experiment in tables and diagramsMaking up a story; and reading itPlay actingSinging catchesGuessing riddlesMaking a joke; and telling itSolving a problem in practical arithmeticTranslating from one language into anotherLANGUAGE Asking, thanking, cursing, greeting, and praying-. (Wittgenstein, 1953, Pt. I, No. 23, pp. 11 e-12 e)We dissect nature along lines laid down by our native languages.... The world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... No individual is free to describe nature with absolute impartiality but is constrained to certain modes of interpretation even while he thinks himself most free. (Whorf, 1956, pp. 153, 213-214)We dissect nature along the lines laid down by our native languages.The categories and types that we isolate from the world of phenomena we do not find there because they stare every observer in the face; on the contrary, the world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... We are thus introduced to a new principle of relativity, which holds that all observers are not led by the same physical evidence to the same picture of the universe, unless their linguistic backgrounds are similar or can in some way be calibrated. (Whorf, 1956, pp. 213-214)9) The Forms of a Person's Thoughts Are Controlled by Unperceived Patterns of His Own LanguageThe forms of a person's thoughts are controlled by inexorable laws of pattern of which he is unconscious. These patterns are the unperceived intricate systematizations of his own language-shown readily enough by a candid comparison and contrast with other languages, especially those of a different linguistic family. (Whorf, 1956, p. 252)It has come to be commonly held that many utterances which look like statements are either not intended at all, or only intended in part, to record or impart straightforward information about the facts.... Many traditional philosophical perplexities have arisen through a mistake-the mistake of taking as straightforward statements of fact utterances which are either (in interesting non-grammatical ways) nonsensical or else intended as something quite different. (Austin, 1962, pp. 2-3)In general, one might define a complex of semantic components connected by logical constants as a concept. The dictionary of a language is then a system of concepts in which a phonological form and certain syntactic and morphological characteristics are assigned to each concept. This system of concepts is structured by several types of relations. It is supplemented, furthermore, by redundancy or implicational rules..., representing general properties of the whole system of concepts.... At least a relevant part of these general rules is not bound to particular languages, but represents presumably universal structures of natural languages. They are not learned, but are rather a part of the human ability to acquire an arbitrary natural language. (Bierwisch, 1970, pp. 171-172)In studying the evolution of mind, we cannot guess to what extent there are physically possible alternatives to, say, transformational generative grammar, for an organism meeting certain other physical conditions characteristic of humans. Conceivably, there are none-or very few-in which case talk about evolution of the language capacity is beside the point. (Chomsky, 1972, p. 98)[It is] truth value rather than syntactic well-formedness that chiefly governs explicit verbal reinforcement by parents-which renders mildly paradoxical the fact that the usual product of such a training schedule is an adult whose speech is highly grammatical but not notably truthful. (R. O. Brown, 1973, p. 330)he conceptual base is responsible for formally representing the concepts underlying an utterance.... A given word in a language may or may not have one or more concepts underlying it.... On the sentential level, the utterances of a given language are encoded within a syntactic structure of that language. The basic construction of the sentential level is the sentence.The next highest level... is the conceptual level. We call the basic construction of this level the conceptualization. A conceptualization consists of concepts and certain relations among those concepts. We can consider that both levels exist at the same point in time and that for any unit on one level, some corresponding realizate exists on the other level. This realizate may be null or extremely complex.... Conceptualizations may relate to other conceptualizations by nesting or other specified relationships. (Schank, 1973, pp. 191-192)The mathematics of multi-dimensional interactive spaces and lattices, the projection of "computer behavior" on to possible models of cerebral functions, the theoretical and mechanical investigation of artificial intelligence, are producing a stream of sophisticated, often suggestive ideas.But it is, I believe, fair to say that nothing put forward until now in either theoretic design or mechanical mimicry comes even remotely in reach of the most rudimentary linguistic realities. (Steiner, 1975, p. 284)The step from the simple tool to the master tool, a tool to make tools (what we would now call a machine tool), seems to me indeed to parallel the final step to human language, which I call reconstitution. It expresses in a practical and social context the same understanding of hierarchy, and shows the same analysis by function as a basis for synthesis. (Bronowski, 1977, pp. 127-128)t is the language donn eґ in which we conduct our lives.... We have no other. And the danger is that formal linguistic models, in their loosely argued analogy with the axiomatic structure of the mathematical sciences, may block perception.... It is quite conceivable that, in language, continuous induction from simple, elemental units to more complex, realistic forms is not justified. The extent and formal "undecidability" of context-and every linguistic particle above the level of the phoneme is context-bound-may make it impossible, except in the most abstract, meta-linguistic sense, to pass from "pro-verbs," "kernals," or "deep deep structures" to actual speech. (Steiner, 1975, pp. 111-113)A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)Jakobson sees metaphor and metonymy as the characteristic modes of binarily opposed polarities which between them underpin the two-fold process of selection and combination by which linguistic signs are formed.... Thus messages are constructed, as Saussure said, by a combination of a "horizontal" movement, which combines words together, and a "vertical" movement, which selects the particular words from the available inventory or "inner storehouse" of the language. The combinative (or syntagmatic) process manifests itself in contiguity (one word being placed next to another) and its mode is metonymic. The selective (or associative) process manifests itself in similarity (one word or concept being "like" another) and its mode is metaphoric. The "opposition" of metaphor and metonymy therefore may be said to represent in effect the essence of the total opposition between the synchronic mode of language (its immediate, coexistent, "vertical" relationships) and its diachronic mode (its sequential, successive, lineal progressive relationships). (Hawkes, 1977, pp. 77-78)It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)First, [an ideal intertheoretic reduction] provides us with a set of rules"correspondence rules" or "bridge laws," as the standard vernacular has it-which effect a mapping of the terms of the old theory (T o) onto a subset of the expressions of the new or reducing theory (T n). These rules guide the application of those selected expressions of T n in the following way: we are free to make singular applications of their correspondencerule doppelgangers in T o....Second, and equally important, a successful reduction ideally has the outcome that, under the term mapping effected by the correspondence rules, the central principles of T o (those of semantic and systematic importance) are mapped onto general sentences of T n that are theorems of Tn. (P. Churchland, 1979, p. 81)If non-linguistic factors must be included in grammar: beliefs, attitudes, etc. [this would] amount to a rejection of the initial idealization of language as an object of study. A priori such a move cannot be ruled out, but it must be empirically motivated. If it proves to be correct, I would conclude that language is a chaos that is not worth studying.... Note that the question is not whether beliefs or attitudes, and so on, play a role in linguistic behavior and linguistic judgments... [but rather] whether distinct cognitive structures can be identified, which interact in the real use of language and linguistic judgments, the grammatical system being one of these. (Chomsky, 1979, pp. 140, 152-153)23) Language Is Inevitably Influenced by Specific Contexts of Human InteractionLanguage cannot be studied in isolation from the investigation of "rationality." It cannot afford to neglect our everyday assumptions concerning the total behavior of a reasonable person.... An integrational linguistics must recognize that human beings inhabit a communicational space which is not neatly compartmentalized into language and nonlanguage.... It renounces in advance the possibility of setting up systems of forms and meanings which will "account for" a central core of linguistic behavior irrespective of the situation and communicational purposes involved. (Harris, 1981, p. 165)By innate [linguistic knowledge], Chomsky simply means "genetically programmed." He does not literally think that children are born with language in their heads ready to be spoken. He merely claims that a "blueprint is there, which is brought into use when the child reaches a certain point in her general development. With the help of this blueprint, she analyzes the language she hears around her more readily than she would if she were totally unprepared for the strange gabbling sounds which emerge from human mouths. (Aitchison, 1987, p. 31)Looking at ourselves from the computer viewpoint, we cannot avoid seeing that natural language is our most important "programming language." This means that a vast portion of our knowledge and activity is, for us, best communicated and understood in our natural language.... One could say that natural language was our first great original artifact and, since, as we increasingly realize, languages are machines, so natural language, with our brains to run it, was our primal invention of the universal computer. One could say this except for the sneaking suspicion that language isn't something we invented but something we became, not something we constructed but something in which we created, and recreated, ourselves. (Leiber, 1991, p. 8)Historical dictionary of quotations in cognitive science > Language
-
15 Thinking
But what then am I? A thing which thinks. What is a thing which thinks? It is a thing which doubts, understands, [conceives], affirms, denies, wills, refuses, which also imagines and feels. (Descartes, 1951, p. 153)I have been trying in all this to remove the temptation to think that there "must be" a mental process of thinking, hoping, wishing, believing, etc., independent of the process of expressing a thought, a hope, a wish, etc.... If we scrutinize the usages which we make of "thinking," "meaning," "wishing," etc., going through this process rids us of the temptation to look for a peculiar act of thinking, independent of the act of expressing our thoughts, and stowed away in some particular medium. (Wittgenstein, 1958, pp. 41-43)Analyse the proofs employed by the subject. If they do not go beyond observation of empirical correspondences, they can be fully explained in terms of concrete operations, and nothing would warrant our assuming that more complex thought mechanisms are operating. If, on the other hand, the subject interprets a given correspondence as the result of any one of several possible combinations, and this leads him to verify his hypotheses by observing their consequences, we know that propositional operations are involved. (Inhelder & Piaget, 1958, p. 279)In every age, philosophical thinking exploits some dominant concepts and makes its greatest headway in solving problems conceived in terms of them. The seventeenth- and eighteenth-century philosophers construed knowledge, knower, and known in terms of sense data and their association. Descartes' self-examination gave classical psychology the mind and its contents as a starting point. Locke set up sensory immediacy as the new criterion of the real... Hobbes provided the genetic method of building up complex ideas from simple ones... and, in another quarter, still true to the Hobbesian method, Pavlov built intellect out of conditioned reflexes and Loeb built life out of tropisms. (S. Langer, 1962, p. 54)Experiments on deductive reasoning show that subjects are influenced sufficiently by their experience for their reasoning to differ from that described by a purely deductive system, whilst experiments on inductive reasoning lead to the view that an understanding of the strategies used by adult subjects in attaining concepts involves reference to higher-order concepts of a logical and deductive nature. (Bolton, 1972, p. 154)There are now machines in the world that think, that learn and create. Moreover, their ability to do these things is going to increase rapidly until-in the visible future-the range of problems they can handle will be coextensive with the range to which the human mind has been applied. (Newell & Simon, quoted in Weizenbaum, 1976, p. 138)But how does it happen that thinking is sometimes accompanied by action and sometimes not, sometimes by motion, and sometimes not? It looks as if almost the same thing happens as in the case of reasoning and making inferences about unchanging objects. But in that case the end is a speculative proposition... whereas here the conclusion which results from the two premises is an action.... I need covering; a cloak is a covering. I need a cloak. What I need, I have to make; I need a cloak. I have to make a cloak. And the conclusion, the "I have to make a cloak," is an action. (Nussbaum, 1978, p. 40)It is well to remember that when philosophy emerged in Greece in the sixth century, B.C., it did not burst suddenly out of the Mediterranean blue. The development of societies of reasoning creatures-what we call civilization-had been a process to be measured not in thousands but in millions of years. Human beings became civilized as they became reasonable, and for an animal to begin to reason and to learn how to improve its reasoning is a long, slow process. So thinking had been going on for ages before Greece-slowly improving itself, uncovering the pitfalls to be avoided by forethought, endeavoring to weigh alternative sets of consequences intellectually. What happened in the sixth century, B.C., is that thinking turned round on itself; people began to think about thinking, and the momentous event, the culmination of the long process to that point, was in fact the birth of philosophy. (Lipman, Sharp & Oscanyan, 1980, p. xi)The way to look at thought is not to assume that there is a parallel thread of correlated affects or internal experiences that go with it in some regular way. It's not of course that people don't have internal experiences, of course they do; but that when you ask what is the state of mind of someone, say while he or she is performing a ritual, it's hard to believe that such experiences are the same for all people involved.... The thinking, and indeed the feeling in an odd sort of way, is really going on in public. They are really saying what they're saying, doing what they're doing, meaning what they're meaning. Thought is, in great part anyway, a public activity. (Geertz, quoted in J. Miller, 1983, pp. 202-203)Everything should be made as simple as possible, but not simpler. (Einstein, quoted in Minsky, 1986, p. 17)What, in effect, are the conditions for the construction of formal thought? The child must not only apply operations to objects-in other words, mentally execute possible actions on them-he must also "reflect" those operations in the absence of the objects which are replaced by pure propositions. Thus, "reflection" is thought raised to the second power. Concrete thinking is the representation of a possible action, and formal thinking is the representation of a representation of possible action.... It is not surprising, therefore, that the system of concrete operations must be completed during the last years of childhood before it can be "reflected" by formal operations. In terms of their function, formal operations do not differ from concrete operations except that they are applied to hypotheses or propositions [whose logic is] an abstract translation of the system of "inference" that governs concrete operations. (Piaget, quoted in Minsky, 1986, p. 237)[E]ven a human being today (hence, a fortiori, a remote ancestor of contemporary human beings) cannot easily or ordinarily maintain uninterrupted attention on a single problem for more than a few tens of seconds. Yet we work on problems that require vastly more time. The way we do that (as we can observe by watching ourselves) requires periods of mulling to be followed by periods of recapitulation, describing to ourselves what seems to have gone on during the mulling, leading to whatever intermediate results we have reached. This has an obvious function: namely, by rehearsing these interim results... we commit them to memory, for the immediate contents of the stream of consciousness are very quickly lost unless rehearsed.... Given language, we can describe to ourselves what seemed to occur during the mulling that led to a judgment, produce a rehearsable version of the reaching-a-judgment process, and commit that to long-term memory by in fact rehearsing it. (Margolis, 1987, p. 60)Historical dictionary of quotations in cognitive science > Thinking
-
16 Mind
It becomes, therefore, no inconsiderable part of science... to know the different operations of the mind, to separate them from each other, to class them under their proper heads, and to correct all that seeming disorder in which they lie involved when made the object of reflection and inquiry.... It cannot be doubted that the mind is endowed with several powers and faculties, that these powers are distinct from one another, and that what is really distinct to the immediate perception may be distinguished by reflection and, consequently, that there is a truth and falsehood which lie not beyond the compass of human understanding. (Hume, 1955, p. 22)Let us then suppose the mind to be, as we say, white Paper, void of all Characters, without any Ideas: How comes it to be furnished? Whence comes it by that vast store, which the busy and boundless Fancy of Man has painted on it, with an almost endless variety? Whence has it all the materials of Reason and Knowledge? To this I answer, in one word, from Experience. (Locke, quoted in Herrnstein & Boring, 1965, p. 584)The kind of logic in mythical thought is as rigorous as that of modern science, and... the difference lies, not in the quality of the intellectual process, but in the nature of things to which it is applied.... Man has always been thinking equally well; the improvement lies, not in an alleged progress of man's mind, but in the discovery of new areas to which it may apply its unchanged and unchanging powers. (Leґvi-Strauss, 1963, p. 230)MIND. A mysterious form of matter secreted by the brain. Its chief activity consists in the endeavor to ascertain its own nature, the futility of the attempt being due to the fact that it has nothing but itself to know itself with. (Bierce, quoted in Minsky, 1986, p. 55)[Philosophy] understands the foundations of knowledge and it finds these foundations in a study of man-as-knower, of the "mental processes" or the "activity of representation" which make knowledge possible. To know is to represent accurately what is outside the mind, so to understand the possibility and nature of knowledge is to understand the way in which the mind is able to construct such representation.... We owe the notion of a "theory of knowledge" based on an understanding of "mental processes" to the seventeenth century, and especially to Locke. We owe the notion of "the mind" as a separate entity in which "processes" occur to the same period, and especially to Descartes. We owe the notion of philosophy as a tribunal of pure reason, upholding or denying the claims of the rest of culture, to the eighteenth century and especially to Kant, but this Kantian notion presupposed general assent to Lockean notions of mental processes and Cartesian notions of mental substance. (Rorty, 1979, pp. 3-4)Under pressure from the computer, the question of mind in relation to machine is becoming a central cultural preoccupation. It is becoming for us what sex was to Victorians-threat, obsession, taboo, and fascination. (Turkle, 1984, p. 313)7) Understanding the Mind Remains as Resistant to Neurological as to Cognitive AnalysesRecent years have been exciting for researchers in the brain and cognitive sciences. Both fields have flourished, each spurred on by methodological and conceptual developments, and although understanding the mechanisms of mind is an objective shared by many workers in these areas, their theories and approaches to the problem are vastly different....Early experimental psychologists, such as Wundt and James, were as interested in and knowledgeable about the anatomy and physiology of the nervous system as about the young science of the mind. However, the experimental study of mental processes was short-lived, being eclipsed by the rise of behaviorism early in this century. It was not until the late 1950s that the signs of a new mentalism first appeared in scattered writings of linguists, philosophers, computer enthusiasts, and psychologists.In this new incarnation, the science of mind had a specific mission: to challenge and replace behaviorism. In the meantime, brain science had in many ways become allied with a behaviorist approach.... While behaviorism sought to reduce the mind to statements about bodily action, brain science seeks to explain the mind in terms of physiochemical events occurring in the nervous system. These approaches contrast with contemporary cognitive science, which tries to understand the mind as it is, without any reduction, a view sometimes described as functionalism.The cognitive revolution is now in place. Cognition is the subject of contemporary psychology. This was achieved with little or no talk of neurons, action potentials, and neurotransmitters. Similarly, neuroscience has risen to an esteemed position among the biological sciences without much talk of cognitive processes. Do the fields need each other?... [Y]es because the problem of understanding the mind, unlike the wouldbe problem solvers, respects no disciplinary boundaries. It remains as resistant to neurological as to cognitive analyses. (LeDoux & Hirst, 1986, pp. 1-2)Since the Second World War scientists from different disciplines have turned to the study of the human mind. Computer scientists have tried to emulate its capacity for visual perception. Linguists have struggled with the puzzle of how children acquire language. Ethologists have sought the innate roots of social behaviour. Neurophysiologists have begun to relate the function of nerve cells to complex perceptual and motor processes. Neurologists and neuropsychologists have used the pattern of competence and incompetence of their brain-damaged patients to elucidate the normal workings of the brain. Anthropologists have examined the conceptual structure of cultural practices to advance hypotheses about the basic principles of the mind. These days one meets engineers who work on speech perception, biologists who investigate the mental representation of spatial relations, and physicists who want to understand consciousness. And, of course, psychologists continue to study perception, memory, thought and action.... [W]orkers in many disciplines have converged on a number of central problems and explanatory ideas. They have realized that no single approach is likely to unravel the workings of the mind: it will not give up its secrets to psychology alone; nor is any other isolated discipline-artificial intelligence, linguistics, anthropology, neurophysiology, philosophy-going to have any greater success. (Johnson-Laird, 1988, p. 7)Historical dictionary of quotations in cognitive science > Mind
-
17 worker
сущ.1)а) общ. работник, рабочий, исполнитель (выполняющий работу; занятый трудом, работой)municipal worker — муниципальный служащий, работник органов местного самоуправления
clerical worker — конторский [канцелярский\] служащий
day shift worker, day worker — дневной работник, работник дневной смены; сотрудник, работающий в дневную смену
night shift worker, night worker — ночной работник, работник ночной смены; сотрудник, работающий в ночную смену
Syn:See:atypical worker, black-coated worker, by-worker, caseworker, casual worker, child care workers, civilian workers, clerical workers, contingent worker, coworker, co-worker, data entry worker, discouraged worker, displaced worker, experienced worker, extension worker, family worker, farmworker 1), fellow worker, field worker, fixed-term contract worker, floorworker, full-time worker, gainful worker, gaming cage workers, gaming services workers, handicapped worker, home worker, homeworker, home-worker, human services worker, indentured worker 1), independent worker, indirect worker, inexperienced worker, key worker, keyworker, knowledge worker, knowledge-worker, law enforcement workers, leased worker, legal support workers, marginal worker, media and communication workers, minority worker, multiskilled worker, nonmanual worker, non-manual worker, non-worker, office worker, on-call worker, outworker, out-worker, parking enforcement workers, part-time worker, permanent worker, personal appearance workers, pink-collar worker, postal service workers, professional worker, public worker, radio worker, recreation workers, regular worker, religious workers, retail sales workers, salary worker, sales worker, service worker, sheltered worker, short-time worker, social service worker, social worker, social workers, structured task worker, teleworker, temp worker, temporary worker, typical worker, utility worker, wage worker, wageworker, wage-worker, white collar worker, white-collar worker, Workfare worker, involvement of workers, worker buy-out, worker director, worker dislocation, worker displacement, worker mobility, worker representation, workers' coverage, workers' involvement, workers' participation, workers' remittances, Convention (No. 100) concerning Equal Remuneration for Men and Women Workers for Work of Equal Value, Standard Occupational Classification System, World Federation of Scientific Workersб) общ. работник, рабочий; сотрудник (работники, осуществляющие функции преимущественно физического труда, непосредственно занятые в процессе создания материальных ценностей, поддержания в рабочем состоянии машин и механизмов, производственных помещений и пр.)agricultural worker — сельскохозяйственный рабочий, рабочий на ферме
industrial worker — промышленный рабочий, рабочий промышленности
worker in industry — промышленный рабочий, рабочий промышленности
farm worker — сельскохозяйственный рабочий, рабочий на ферме
assembly ( line) worker — рабочий на конвейере, сборщик на конвейере
trained worker — квалифицированный [обученный\] рабочий
transport worker — транспортный работник, работник транспорта
Syn:See:accident-prone worker, affluent worker, aggregate worker, agricultural workers, air transportation workers, assimilated worker, auto worker, autoworker, bindery workers, blue collar worker, blue-collar worker, building cleaning workers, core worker, cutting workers, deferential worker, direct worker, electrical worker, Extraction Workers, face worker, farm family worker, farmworker 2), food preparation workers, food processing workers, foreign worker, funeral service workers, general worker, guest worker, immigrant worker, indentured worker 2), itinerant worker, livestock worker, logging workers, manual worker, maritime worker, material moving workers, metal workers and plastic workers, migrant worker, migratory worker, odd-job worker, painting workers, periphery worker, pest control workers, photographic process workers, piece worker, piece-rate worker, pieceworker, piece-worker, print worker, printing workers, process worker, production worker, productive worker, rail transportation workers, relief worker, seasonal worker, shift worker, shiftworker, shock-worker, steel worker, steel-collar worker, steelworker, task worker, transportation workers, unskilled worker, water transportation workers, woodworker, class of workers, movement of workers, worker injury, worker-hour, workers' comp, workers' compensation, workers' condition, workers' control, workers' cooperative, workers' state COMBS: added worker effect, least preferred co-worker scale, Community Charter of the fundamental social rights of workers, Convention (No. 135) concerning Protection and Facilities to be Afforded to Workers' Representatives in the Undertaking, Sheet Metal Workers Local 28 v. EFOC, Standard Occupational Classification System, United Steel Workers of America v. Weber, Workers' Comp Law, Workers' Compensation Law,2) с.-х., биол. рабочий, работник; рабочее насекомое (о социальных насекомых, напр. муравьях, пчелах, термитах и др., как правило, стерильные особи, выполняющие большую часть работы по постройке жилища, его охране, заботе о потомстве и т.п.) -
18 Common Sense
Just constructing a knowledge base is a major intellectual research problem.... We still know far too little about the contents and structure of common-sense knowledge. A "minimal" common-sense system must "know" something about cause-effect, time, purpose, locality, process, and types of knowledge.... We need a serious epistemological research effort in this area. (Husserl, 1960, pp. 74, 124)Historical dictionary of quotations in cognitive science > Common Sense
-
19 Creativity
Put in this bald way, these aims sound utopian. How utopian they areor rather, how imminent their realization-depends on how broadly or narrowly we interpret the term "creative." If we are willing to regard all human complex problem solving as creative, then-as we will point out-successful programs for problem solving mechanisms that simulate human problem solvers already exist, and a number of their general characteristics are known. If we reserve the term "creative" for activities like discovery of the special theory of relativity or the composition of Beethoven's Seventh Symphony, then no example of a creative mechanism exists at the present time. (Simon, 1979, pp. 144-145)Among the questions that can now be given preliminary answers in computational terms are the following: how can ideas from very different sources be spontaneously thought of together? how can two ideas be merged to produce a new structure, which shows the influence of both ancestor ideas without being a mere "cut-and-paste" combination? how can the mind be "primed," so that one will more easily notice serendipitous ideas? why may someone notice-and remember-something fairly uninteresting, if it occurs in an interesting context? how can a brief phrase conjure up an entire melody from memory? and how can we accept two ideas as similar ("love" and "prove" as rhyming, for instance) in respect of a feature not identical in both? The features of connectionist AI models that suggest answers to these questions are their powers of pattern completion, graceful degradation, sensitization, multiple constraint satisfaction, and "best-fit" equilibration.... Here, the important point is that the unconscious, "insightful," associative aspects of creativity can be explained-in outline, at least-by AI methods. (Boden, 1996, p. 273)There thus appears to be an underlying similarity in the process involved in creative innovation and social independence, with common traits and postures required for expression of both behaviors. The difference is one of product-literary, musical, artistic, theoretical products on the one hand, opinions on the other-rather than one of process. In both instances the individual must believe that his perceptions are meaningful and valid and be willing to rely upon his own interpretations. He must trust himself sufficiently that even when persons express opinions counter to his own he can proceed on the basis of his own perceptions and convictions. (Coopersmith, 1967, p. 58)he average level of ego strength and emotional stability is noticeably higher among creative geniuses than among the general population, though it is possibly lower than among men of comparable intelligence and education who go into administrative and similar positions. High anxiety and excitability appear common (e.g. Priestley, Darwin, Kepler) but full-blown neurosis is quite rare. (Cattell & Butcher, 1970, p. 315)he insight that is supposed to be required for such work as discovery turns out to be synonymous with the familiar process of recognition; and other terms commonly used in the discussion of creative work-such terms as "judgment," "creativity," or even "genius"-appear to be wholly dispensable or to be definable, as insight is, in terms of mundane and well-understood concepts. (Simon, 1989, p. 376)From the sketch material still in existence, from the condition of the fragments, and from the autographs themselves we can draw definite conclusions about Mozart's creative process. To invent musical ideas he did not need any stimulation; they came to his mind "ready-made" and in polished form. In contrast to Beethoven, who made numerous attempts at shaping his musical ideas until he found the definitive formulation of a theme, Mozart's first inspiration has the stamp of finality. Any Mozart theme has completeness and unity; as a phenomenon it is a Gestalt. (Herzmann, 1964, p. 28)Great artists enlarge the limits of one's perception. Looking at the world through the eyes of Rembrandt or Tolstoy makes one able to perceive aspects of truth about the world which one could not have achieved without their aid. Freud believed that science was adaptive because it facilitated mastery of the external world; but was it not the case that many scientific theories, like works of art, also originated in phantasy? Certainly, reading accounts of scientific discovery by men of the calibre of Einstein compelled me to conclude that phantasy was not merely escapist, but a way of reaching new insights concerning the nature of reality. Scientific hypotheses require proof; works of art do not. Both are concerned with creating order, with making sense out of the world and our experience of it. (Storr, 1993, p. xii)The importance of self-esteem for creative expression appears to be almost beyond disproof. Without a high regard for himself the individual who is working in the frontiers of his field cannot trust himself to discriminate between the trivial and the significant. Without trust in his own powers the person seeking improved solutions or alternative theories has no basis for distinguishing the significant and profound innovation from the one that is merely different.... An essential component of the creative process, whether it be analysis, synthesis, or the development of a new perspective or more comprehensive theory, is the conviction that one's judgment in interpreting the events is to be trusted. (Coopersmith, 1967, p. 59)In the daily stream of thought these four different stages [preparation; incubation; illumination or inspiration; and verification] constantly overlap each other as we explore different problems. An economist reading a Blue Book, a physiologist watching an experiment, or a business man going through his morning's letters, may at the same time be "incubating" on a problem which he proposed to himself a few days ago, be accumulating knowledge in "preparation" for a second problem, and be "verifying" his conclusions to a third problem. Even in exploring the same problem, the mind may be unconsciously incubating on one aspect of it, while it is consciously employed in preparing for or verifying another aspect. (Wallas, 1926, p. 81)he basic, bisociative pattern of the creative synthesis [is] the sudden interlocking of two previously unrelated skills, or matrices of thought. (Koestler, 1964, p. 121)11) The Earliest Stages in the Creative Process Involve a Commerce with DisorderEven to the creator himself, the earliest effort may seem to involve a commerce with disorder. For the creative order, which is an extension of life, is not an elaboration of the established, but a movement beyond the established, or at least a reorganization of it and often of elements not included in it. The first need is therefore to transcend the old order. Before any new order can be defined, the absolute power of the established, the hold upon us of what we know and are, must be broken. New life comes always from outside our world, as we commonly conceive that world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." (Ghiselin, 1985, p. 4)New life comes always from outside our world, as we commonly conceive our world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." Chaos and disorder are perhaps the wrong terms for that indeterminate fullness and activity of the inner life. For it is organic, dynamic, full of tension and tendency. What is absent from it, except in the decisive act of creation, is determination, fixity, and commitment to one resolution or another of the whole complex of its tensions. (Ghiselin, 1952, p. 13)[P]sychoanalysts have principally been concerned with the content of creative products, and with explaining content in terms of the artist's infantile past. They have paid less attention to examining why the artist chooses his particular activity to express, abreact or sublimate his emotions. In short, they have not made much distinction between art and neurosis; and, since the former is one of the blessings of mankind, whereas the latter is one of the curses, it seems a pity that they should not be better differentiated....Psychoanalysis, being fundamentally concerned with drive and motive, might have been expected to throw more light upon what impels the creative person that in fact it has. (Storr, 1993, pp. xvii, 3)A number of theoretical approaches were considered. Associative theory, as developed by Mednick (1962), gained some empirical support from the apparent validity of the Remote Associates Test, which was constructed on the basis of the theory.... Koestler's (1964) bisociative theory allows more complexity to mental organization than Mednick's associative theory, and postulates "associative contexts" or "frames of reference." He proposed that normal, non-creative, thought proceeds within particular contexts or frames and that the creative act involves linking together previously unconnected frames.... Simonton (1988) has developed associative notions further and explored the mathematical consequences of chance permutation of ideas....Like Koestler, Gruber (1980; Gruber and Davis, 1988) has based his analysis on case studies. He has focused especially on Darwin's development of the theory of evolution. Using piagetian notions, such as assimilation and accommodation, Gruber shows how Darwin's system of ideas changed very slowly over a period of many years. "Moments of insight," in Gruber's analysis, were the culminations of slow long-term processes.... Finally, the information-processing approach, as represented by Simon (1966) and Langley et al. (1987), was considered.... [Simon] points out the importance of good problem representations, both to ensure search is in an appropriate problem space and to aid in developing heuristic evaluations of possible research directions.... The work of Langley et al. (1987) demonstrates how such search processes, realized in computer programs, can indeed discover many basic laws of science from tables of raw data.... Boden (1990a, 1994) has stressed the importance of restructuring the problem space in creative work to develop new genres and paradigms in the arts and sciences. (Gilhooly, 1996, pp. 243-244; emphasis in original)Historical dictionary of quotations in cognitive science > Creativity
-
20 Grammar
I think that the failure to offer a precise account of the notion "grammar" is not just a superficial defect in linguistic theory that can be remedied by adding one more definition. It seems to me that until this notion is clarified, no part of linguistic theory can achieve anything like a satisfactory development.... I have been discussing a grammar of a particular language here as analogous to a particular scientific theory, dealing with its subject matter (the set of sentences of this language) much as embryology or physics deals with its subject matter. (Chomsky, 1964, p. 213)Obviously, every speaker of a language has mastered and internalized a generative grammar that expresses his knowledge of his language. This is not to say that he is aware of the rules of grammar or even that he can become aware of them, or that his statements about his intuitive knowledge of his language are necessarily accurate. (Chomsky, 1965, p. 8)Much effort has been devoted to showing that the class of possible transformations can be substantially reduced without loss of descriptive power through the discovery of quite general conditions that all such rules and the representations they operate on and form must meet.... [The] transformational rules, at least for a substantial core grammar, can be reduced to the single rule, "Move alpha" (that is, "move any category anywhere"). (Mehler, Walker & Garrett, 1982, p. 21)4) The Relationship of Transformational Grammar to Semantics and to Human Performancehe implications of assuming a semantic memory for what we might call "generative psycholinguistics" are: that dichotomous judgments of semantic well-formedness versus anomaly are not essential or inherent to language performance; that the transformational component of a grammar is the part most relevant to performance models; that a generative grammar's role should be viewed as restricted to language production, whereas sentence understanding should be treated as a problem of extracting a cognitive representation of a text's message; that until some theoretical notion of cognitive representation is incorporated into linguistic conceptions, they are unlikely to provide either powerful language-processing programs or psychologically relevant theories.Although these implications conflict with the way others have viewed the relationship of transformational grammars to semantics and to human performance, they do not eliminate the importance of such grammars to psychologists, an importance stressed in, and indeed largely created by, the work of Chomsky. It is precisely because of a growing interdependence between such linguistic theory and psychological performance models that their relationship needs to be clarified. (Quillian, 1968, p. 260)here are some terminological distinctions that are crucial to explain, or else confusions can easily arise. In the formal study of grammar, a language is defined as a set of sentences, possibly infinite, where each sentence is a string of symbols or words. One can think of each sentence as having several representations linked together: one for its sound pattern, one for its meaning, one for the string of words constituting it, possibly others for other data structures such as the "surface structure" and "deep structure" that are held to mediate the mapping between sound and meaning. Because no finite system can store an infinite number of sentences, and because humans in particular are clearly not pullstring dolls that emit sentences from a finite stored list, one must explain human language abilities by imputing to them a grammar, which in the technical sense is a finite rule system, or programme, or circuit design, capable of generating and recognizing the sentences of a particular language. This "mental grammar" or "psychogrammar" is the neural system that allows us to speak and understand the possible word sequences of our native tongue. A grammar for a specific language is obviously acquired by a human during childhood, but there must be neural circuitry that actually carries out the acquisition process in the child, and this circuitry may be called the language faculty or language acquisition device. An important part of the language faculty is universal grammar, an implementation of a set of principles or constraints that govern the possible form of any human grammar. (Pinker, 1996, p. 263)A grammar of language L is essentially a theory of L. Any scientific theory is based on a finite number of observations, and it seeks to relate the observed phenomena and to predict new phenomena by constructing general laws in terms of hypothetical constructs.... Similarly a grammar of English is based on a finite corpus of utterances (observations), and it will contain certain grammatical rules (laws) stated in terms of the particular phonemes, phrases, etc., of English (hypothetical constructs). These rules express structural relations among the sentences of the corpus and the infinite number of sentences generated by the grammar beyond the corpus (predictions). (Chomsky, 1957, p. 49)Historical dictionary of quotations in cognitive science > Grammar
Страницы
См. также в других словарях:
Tree of Knowledge System — The Tree of Knowledge (ToK) System is a novel, theoretical approach to the unification of psychology developed by professor Gregg Henriques of James Madison University.The outline of the system was published in 2003 in Review of General… … Wikipedia
Battle Command Knowledge System — The Battle Command Knowledge System (BCKS) is the change agent for implementing knowledge management (KM) capabilities into the training and military operations of the United States Army. BCKS is headquartered at the U.S. Army Combined Arms… … Wikipedia
Knowledge Management — (KM) comprises a range of practices used by organisations to identify, create, represent, distribute and enable adoption of what it knows, and how it knows it. It has been an established discipline since 1995 [Stankosky, 2005] with a body of… … Wikipedia
Knowledge Science — is the discipline of understanding the mechanics through which humans and software based machines know, learn, change, and adapt their own behaviors. Throughout recorded history, knowledge has been made explicit through symbols, text and graphics … Wikipedia
System — (from Latin systēma , in turn from Greek polytonic|σύστημα systēma) is a set of interacting or interdependent entities, real or abstract, forming an integrated whole. The concept of an integrated whole can also be stated in terms of a system… … Wikipedia
Knowledge modeling — is a process of creating a computer interpretable model of knowledge or standard specifications about a kind of process and/or about a kind of facility or product. The resulting knowledge model can only be computer interpretable when it is… … Wikipedia
Knowledge management — (KM) comprises a range of strategies and practices used in an organization to identify, create, represent, distribute, and enable adoption of insights and experiences. Such insights and experiences comprise knowledge, either embodied in… … Wikipedia
Knowledge engineering — (KE) has been defined by Feigenbaum, and McCorduck (1983) as follows: KE is an engineering discipline that involves integrating knowledge into computer systems in order to solve complex problems normally requiring a high level of human expertise … Wikipedia
Knowledge-based engineering — (KBE) is a discipline with roots in computer aided design (CAD) and knowledge based systems but has several definitions and roles depending upon the context. An early role was support tool for a design engineer generally within the context of… … Wikipedia
Knowledge Discovery Metamodel — (KDM) is publicly available specification from the Object Management Group (OMG). KDM is a common intermediate representation for existing software systems and their operating environments, that defines common metadata required for deep semantic… … Wikipedia
Knowledge engineers — are computer systems experts who are trained in the field of expert systems. Receiving information from domain experts, the knowledge engineers interpret the presented information and relay it to computer programmers who code the information in… … Wikipedia
