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81 ABC
atomisk biologisk kemiskABC (atomic, biological, and chemical)* * *[eibi:'si:]1) (the alphabet: The child has not learnt his ABC.) abc, alfabet2) (the simplest and most basic knowledge: the ABC of engineering.) abc, grunder -
82 ABC
[eibi:'si:]1) (the alphabet: The child has not learnt his ABC.) abeceda2) (the simplest and most basic knowledge: the ABC of engineering.) základy* * *• abeceda -
83 ABC
[eibi:'si:]1) (the alphabet: The child has not learnt his ABC.) abeceda2) (the simplest and most basic knowledge: the ABC of engineering.) základy* * *• základy• základné pojmy• abecedný cestovný poriado• abeceda -
84 ABC
[eibi:'si:]1) (the alphabet: The child has not learnt his ABC.) alfabet2) (the simplest and most basic knowledge: the ABC of engineering.) ABC-ul, elementele de bază -
85 ABC
[eibi:'si:]1) (the alphabet: The child has not learnt his ABC.) αλφαβήτα2) (the simplest and most basic knowledge: the ABC of engineering.) βασικές γνώσεις -
86 grounding
adj.de conexión a tierra, de anclaje a la tierra, de puesta a tierra.s.1 fundamento, base (basis)2 nociones elementales, rudimentos (basic knowledge)3 encallamiento.4 curso básico.5 conexión a tierra, toma de tierra, conexión a masa.ger.gerundio del verbo GROUND. -
87 rudiments
Синонимический ряд:1. alphabet (noun) ABC; ABC's; alphabet; elements; essentials; fundamentals; grammar; part and parcel; principles2. bases (noun) bases; cornerstones; foundations; roots3. basics (noun) basics; basis; element; principle4. first principles (noun) basic knowledge; beginning; embryonic condition; first principles; first stage; foundation; germ; mainspring -
88 ABC
[eibi:'si:]1) (the alphabet: The child has not learnt his ABC.) alphabet2) (the simplest and most basic knowledge: the ABC of engineering.) rudiments, b a ba -
89 ABC
[eibi:'si:]1) (the alphabet: The child has not learnt his ABC.) abecedário2) (the simplest and most basic knowledge: the ABC of engineering.) á-bê-cê, bê-á-bá -
90 Information Processes
[Three basic kinds of elementary information processes are] metacomponents, which are high order control processes that are used in executive planning and decision making in problem solving; performance components, which are lower order processes used in executing a problem-solving strategy; and knowledge-acquisition components, which are lower order processes used in acquiring, retaining and transferring new information. (Sternberg & Davidson, 1985, p. 51)Historical dictionary of quotations in cognitive science > Information Processes
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91 Bibliography
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- 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
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93 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 -
94 rudimentary
adjective(elementary) elementar; primitiv [Gebäude]* * *[-'men-]adjective (primitive or undeveloped: rudimentary tools.) rudimentär* * *ru·di·men·ta·ry[ˌru:dɪˈmentəri, AM -dəˈ-]1. (basic) elementar\rudimentary knowledge Grundkenntnisse pl2. (not highly developed) primitiv\rudimentary equipment primitive Ausrüstung\rudimentary method einfache Methode\rudimentary system primitives System* * *["ruːdI'mentərI]adj(= basic) principles elementar; equipment primitiv; language, system rudimentär; (BIOL) rudimentärin a rudimentary way — in einer primitiven Form or Art und Weise
* * *rudimentary [-tərı] adj (adv rudimentarily)1. elementar, Anfangs…* * *adjective(elementary) elementar; primitiv [Gebäude]* * *adj.rudimentär adj. -
95 Cognitive Science
The 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.... [P]eople and intelligent computers turn out to be merely different manifestations of the same underlying phenomenon. (Haugeland, 1981b, p. 31)2) Experimental Psychology, Theoretical Linguistics, and Computational Simulation of Cognitive Processes Are All Components of Cognitive ScienceI went away from the Symposium with a strong conviction, more intuitive than rational, that human experimental psychology, theoretical linguistics, and computer simulation of cognitive processes were all pieces of a larger whole, and that the future would see progressive elaboration and coordination of their shared concerns.... I have been working toward a cognitive science for about twenty years beginning before I knew what to call it. (G. A. Miller, 1979, p. 9)Cognitive Science studies the nature of cognition in human beings, other animals, and inanimate machines (if such a thing is possible). While computers are helpful within cognitive science, they are not essential to its being. A science of cognition could still be pursued even without these machines.Computer Science studies various kinds of problems and the use of computers to solve them, without concern for the means by which we humans might otherwise resolve them. There could be no computer science if there were no machines of this kind, because they are indispensable to its being. Artificial Intelligence is a special branch of computer science that investigates the extent to which the mental powers of human beings can be captured by means of machines.There could be cognitive science without artificial intelligence but there could be no artificial intelligence without cognitive science. One final caveat: In the case of an emerging new discipline such as cognitive science there is an almost irresistible temptation to identify the discipline itself (as a field of inquiry) with one of the theories that inspired it (such as the computational conception...). This, however, is a mistake. The field of inquiry (or "domain") stands to specific theories as questions stand to possible answers. The computational conception should properly be viewed as a research program in cognitive science, where "research programs" are answers that continue to attract followers. (Fetzer, 1996, pp. xvi-xvii)What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.The psychologist who studies "knowledge systems" wants to know how concepts are structured in the human mind, how such concepts develop, and how they are used in understanding and behavior. The artificial intelligence researcher wants to know how to program a computer so that it can understand and interact with the outside world. The two orientations intersect when the psychologist and the computer scientist agree that the best way to approach the problem of building an intelligent machine is to emulate the human conceptual mechanisms that deal with language.... The name "cognitive science" has been used to refer to this convergence of interests in psychology and artificial intelligence....This working partnership in "cognitive science" does not mean that psychologists and computer scientists are developing a single comprehensive theory in which people are no different from machines. Psychology and artificial intelligence have many points of difference in methods and goals.... We simply want to work on an important area of overlapping interest, namely a theory of knowledge systems. As it turns out, this overlap is substantial. For both people and machines, each in their own way, there is a serious problem in common of making sense out of what they hear, see, or are told about the world. The conceptual apparatus necessary to perform even a partial feat of understanding is formidable and fascinating. (Schank & Abelson, 1977, pp. 1-2)Within the last dozen years a general change in scientific outlook has occurred, consonant with the point of view represented here. One can date the change roughly from 1956: in psychology, by the appearance of Bruner, Goodnow, and Austin's Study of Thinking and George Miller's "The Magical Number Seven"; in linguistics, by Noam Chomsky's "Three Models of Language"; and in computer science, by our own paper on the Logic Theory Machine. (Newell & Simon, 1972, p. 4)Historical dictionary of quotations in cognitive science > Cognitive Science
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96 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
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97 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
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98 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
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99 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
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100 stock
stɔk
1. сущ.
1) а) главный ствол( дерева) б) перен. опора, основа, основание, подпора
2) а) рукоятка, ручка б) ружейная ложа
3) уст. пень;
бревно
4) совокупность объектов, характеризующихся набором общих признаков а) род, семья б) биол. племя, порода;
раса в) линг. языковая семья, группа родственных языков
5) а) запас;
инвентарь б) ассортимент( товаров) take stock
6) скот, поголовье скота (тж. live stock)
7) парк( вагонов и т. п.) ;
подвижной состав
8) сырье
9) а) экон. акционерный капитал (тж. joint stock) ;
основной капитал;
фонды б) доля акций, амер. акции classified stock ≈ классифицированные акции (в зависимости от того, к какой группе классификации принадлежат акции, их владелец обладает разным числом голосов) ∙ - stock exchange
10) а) широкий галстук б) щирокий длинный шарф
11) крепкий бульон из костей Syn: soup
12) часть колоды карт, не розданная игрокам
13) = stock company
2)
14) мн.;
ист. колодки
15) мн.;
мор. стапель
16) тех. бабка( станка)
17) тех. припуск
18) мор. шток( якоря)
19) метал. колоша, шихта
20) бот. подвой
21) бот. левкой ∙ stocks and stones take stock in
2. гл.
1) снабжать, поставлять, обеспечивать( with) The shop is well stocked with camping supplies. ≈ В магазине большой выбор походных принадлежностей. Syn: supply
2.
2) а) иметь в наличии, в продаже б) хранить на складе;
иметь запасы на складе
3) приделывать ручку и т. п.
4) случать( домашних животных)
5) пасти скот
3. прил.
1) имеющийся в наличии, наготове
2) заезженный, избитый, стандартный, трафаретный, шаблонный, типовой stock phrase ≈ клише stock answer ≈ стандартный ответ Syn: standard
2., trite
3) а) племенной, породистый( о животных) a stock dog ≈ породистая собака Syn: brood б) занимающийся разведением домашнего скота, животноводческий a stock farm ≈ животноводческая ферма
4) а) биржевой б) работающий на бирже a stock clerk ≈ биржевой маклер главный ствол( дерева) неодушевленный предмет( пренебрежительное) глупый, бесчувственный человек;
деревяшка, чурбан - to stand like a * стоять как чурбан /как болван/ опора, подпорка ложа (винтовки) (военное) ствол (морское) стапель - to be on the *s стоять на стапеле, строиться( о судне) станок для ковки лошадей (историческое) колодки - to put in the *s сажать в колодки - the shoemaker's * тесные ботинки( техническое) бабка (токарного станка) (техническое) клупп( техническое) коловорот ступица( колеса) тело( гаечного ключа и т. п.) колодка( рубанка) черенок, рукоятка ( морское) шток (якоря) (морское) баллер( руля) корень, источник происхождения прародитель - the * of all mankind праотец рода человеческого родословная, генеалогия род, семья - to come /to be/ of good * происходить из хорошей семьи раса (биология) порода, племя группа родственных языков пчелиный рой запас, фонд - new /fresh/ * свежий запас - in * в запасе, в наличии - a * of wood запас дров - a * of information наличие сведений - a * of plays репертуар - a * of fish (специальное) рыбность, заселенность рыбой (водоема) - *s on hand наличный запас, наличность склада - to lay in a * делать /создавать/ запас - to acquire a good * of common words приобрести хороший словарный запас - to exhaust smb.'s * of patience исчерпать запас чьего-л. терпения, вывести кого-л. из себя - to take * инвентаризировать, /проверять/ запас ассортимент (товаров) - new /fresh/ * новый ассортимент - in * в ассортименте, в наличии - spare parts always in * в ассортименте /в продаже/ всегда имеются запасные части - out of * распродано - we carry a very large * of French novels у нас всегда большой выбор французских романов инвентарь, имущество - dead * мертвый инвентарь скот, поголовье скота (тж. live *) парк (автомобилей, вагонов) - rolling * (железнодорожное) подвижной состав сырье - paper * бумажная масса (тряпье и т. п.) крепкий бульон (тж. soup *) - meat * крепкий мясной бульон (экономика) капитал - fixed capital * основной капитал;
основные производственные фонды( экономика) акции;
акционерный капитал (экономика) облигации;
ценные бумаги;
фонды - to have $500 in *s иметь пятьсот долларов в облигациях - to invest one's money in government *s вложить свои деньги в государственные бумаги (the *s) государственный долг( карточное) колода, используемая в данной игре банк, часть колоды карт или костей домино, не розданная игрокам - to draw from the * прикупить из банка (американизм) акционерная компания( американизм) постоянная театральная труппа, обыкн. выступающая в одном театре;
театральная труппа со средним составом актеров (без звезд) постоянный репертуар репутация, имя - his * with the electorate remains high он продолжает пользоваться авторитетом у избирателей (американизм) доверие, вера - put /take/ little * in his testimony не доверяйте его показаниям шахта, колоша (геология) шток, небольшой батолит (ботаника) подвой (ботаника) левкой (Matthiola gen.) (историческое) широкий галстук или шарф (историческое) корешок квитанции, выдаваемый за взнос в казну > lock, * and barrel все целиком /полностью/;
все вместе взятое > to take * критически оценивать свое положение, подводить итоги > to take * of smth. обдумывать /рассматривать, оценивать/ что-л.;
приглядываться к чему-л. > to take * of smb. критически осматривать кого-л., изучать кого-л. оценивающим взглядом > *s and stones деревянные и каменные фигуры богов, идолы;
неодушевленные предметы;
бесчувственные люди > to be on the *s быть в работе( о литературном произведении и т. п.) имеющийся в наличии или наготове - * item номенклатурный предмет снабжения - * size стандартный размер;
размер, имеющийся на складе - he is of * size у него стандартный размер избитый, шаблонный, заезженный - * joke избитая шутка - * argument шаблонный /обычный/ довод - * comparison избитое /классическое/ сравнение - * phrase клише - it's the * dodge это старая /избитая/ уловка биржевой скотоводческий - * farm скотоводческое хозяйство;
животноводческая ферма - * train поезд для перевозки скота племенной - * mare племенная кобыла готовый, патентованный( о лекарстве) складской - * boy складской рабочий снабжать - to * a farm оборудовать ферму /хозяйство/ - to * a pond with fish разводить рыбу в пруду - to * a shop снабжать магазин (товарами) - to * one's mind with knowledge обогатить ум знаниями, расширить запас знаний - the fort was *ed with provisions в крепости был запас продовольствия иметь в наличии, в продаже - to * varied goods иметь в продаже разнообразные товары - *ed by all chemists продается во всех аптеках - the library is well *ed with sci-fi books в библиотеке большой выбор научной фантастики хранить на складе;
иметь в запасе создавать запас, запасать (тж. * up) приделывать ручку, прикреплять ствол к ложе и т. п. корчевать (пни) ;
выкапывать (деревья) полоть, выдергивать( сорняки) вскапывать (землю мотыгой) (американизм) засевать( травой, клевером;
тж. * down) использовать( землю) под пастбище выгонять( скот) на пастбище давать новые побеги задерживать, останавливать рост( растения, животного) (карточное) собрать в колоду (карточное) нечестно тасовать( историческое) сажать в колодки (сельскохозяйственное) случать( кобылу, корову) ;
осеменять active ~ активные акции actual ~ наличный запас actual ~ фактический запас available rolling ~ ж.-д. наличный подвижной состав base ~ базовый запас base ~ formula формула базового запаса base ~ valuation стоимость базового запаса ~ запас;
инвентарь;
word stock запас слов;
basic word stock основной словарный фонд;
dead stock (мертвый) инвентарь ~ pl мор. стапель;
to be on the stocks стоять на стапеле;
перен. готовиться, быть в работе ( о литературном произведении) bearer ~ акция на предъявителя blue chip ~ акции, дающие высокие дивиденды build up a ~ создавать запас carry ~ хранить запасы classified ~ акции, различающиеся по статусу closing ~ запас в конце отчетного периода common capital ~ обыкновенная акция common capital ~ обычная акция common ~ обыкновенная акция common ~ обычная акция consignment ~ консигнационный склад consignment ~ партия товаров contributed ~ акционерный капитал convertible loan ~ облигации, конвертируемые в акции convertible preferred ~ привилегированные акции с возможностью обмена на обыкновенные акции cumulative preferred ~ кумулятивная привилегированная акция ~ запас;
инвентарь;
word stock запас слов;
basic word stock основной словарный фонд;
dead stock (мертвый) инвентарь dead ~ акции, не пользующиеся спросом dead ~ замороженные материальные средства dead ~ запас товаров, не пользующихся спросом dead ~ мертвый инвентарь dead ~ неиспользуемый запас dead ~ неходовые акции deferred ~ акция с отсроченным дивидендом dwelling ~ жилой фонд ex ~ со склада ex ~ франко-склад first ~ первая акция funds ~ запас капитала gambling ~ ценная бумага, участвующая в спекуляции gilt-edged ~ государственная ценная бумага gold ~ золотой запас goods in ~ товары на складе growth ~ акция, цена которой повышается growth ~ акция роста housing ~ жилищный фонд in ~ в запасе in ~ в наличии (о товарах и т. п.) ;
под рукой;
out of stock распродано;
to lay in stock делать запасы in ~ в наличии intervention ~ интервенционный запас in ~ в наличии (о товарах и т. п.) ;
под рукой;
out of stock распродано;
to lay in stock делать запасы letter ~ семейная акция life ~ срок хранения запасов loan ~ залоговый запас loan ~ облигация loan ~ ценная бумага компании management ~ акционерный капитал руководителей компании monetary gold ~ золотой запас в денежном выражении money ~ денежная масса money ~ сумма денег в обращении no-par ~ акция без фиксированного номинала obsolete ~ устаревший ассортимент товаров ~ род, семья;
of good stock из хорошей семьи old dwelling ~ старый жилой фонд old housing ~ старый жилой фонд opening ~ запас в начале отчетного периода opening ~ начальный запас order ~ склад заказанной продукции ordinary ~ обыкновенные акции in ~ в наличии (о товарах и т. п.) ;
под рукой;
out of stock распродано;
to lay in stock делать запасы paid-up ~ оплаченная акция ~ сырье;
paper stock бумажное сырье (тряпье и т. п.) penny ~ мелкая акция preferred ~ привилегированная акция reacquired ~ вновь приобретенная акция redeemable ~ акция, подлежащая выкупу registered ~ ценная бумага, которая существует только в виде записей в регистре remaining ~ сохранившийся запас reserve ~ страховой запас rolling ~ подвижной состав ~ иметь в наличии, в продаже;
the shop stocks only cheap goods в этой лавке продаются только дешевые товары stock приделывать ручку ~ = stock company ~ амер. акции;
to take stock in покупать акции;
вступать в пай ~ эк. акционерный капитал (тж. joint stock) ;
основной капитал;
фонды;
the stocks государственный долг ~ акционерный капитал ~ акция, акции ~ акция ~ ассортимент (товаров) ~ ассортимент (товаров) ~ тех. бабка (станка) ~ главный ствол (дерева) ~ группа населения ~ группа родственных языков ~ запас;
инвентарь;
word stock запас слов;
basic word stock основной словарный фонд;
dead stock (мертвый) инвентарь ~ запас ~ избитый, шаблонный, заезженный ~ иметь в наличии, в продаже;
the shop stocks only cheap goods в этой лавке продаются только дешевые товары ~ имеющийся в наличии, наготове ~ имущество ~ инвентарь ~ капитал, акционерный капитал, основной капитал ~ капитал ~ pl ист. колодки ~ крепкий бульон из костей ~ левкой ~ материалы ~ облигации, ценные бумаги, фонды ~ облигации ~ обязательства ~ опора, подпора ~ парк (вагонов и т. п.) ;
подвижной состав ~ уст. пень;
бревно ~ перечень продаваемого имущества ~ поголовье скота ~ бот. подвой ~ биол. порода, племя ~ тех. припуск ~ раса ~ род, семья;
of good stock из хорошей семьи ~ рукоятка, ручка;
ружейная ложа ~ склад ~ скот, поголовье скота (тж. live stock) ~ скот ~ снабжать;
to stock a farm оборудовать хозяйство ~ создавать запасы ~ pl мор. стапель;
to be on the stocks стоять на стапеле;
перен. готовиться, быть в работе (о литературном произведении) ~ сырье;
paper stock бумажное сырье (тряпье и т. п.) ~ сырье ~ товар, запас, материальная база ~ фонд ~ хранить на складе ~ хранить на складе ~ ценные бумаги ~ часть колоды карт, не розданная игрокам ~ широкий галстук или шарф ~ метал. шихта, колоша ~ шток (якоря) ~ снабжать;
to stock a farm оборудовать хозяйство ~ of foreign bills пакет иностранных векселей ~ of gold золотой запас ~ of goods запас товаров ~ of goods склад товаров ~ of record ценная бумага, зарегистрированная на имя владельца до даты, дающей право на получение дивиденда ~ on hand наличный запас ~ эк. акционерный капитал (тж. joint stock) ;
основной капитал;
фонды;
the stocks государственный долг stocks: stocks акции и облигации ~ запасы готовой продукции ~ запасы товаров ~ стапель stocks and stones бесчувственные люди stocks and stones неодушевленные предметы straight ~ акция с фиксированной нарицательной стоимостью surplus ~ избыточный запас surplus ~ неликвидный запас surplus ~ неликвиды to take ~ инвентаризировать;
делать переучет товара to take ~ критически оценивать, рассматривать (of - что-л.) ;
приглядываться (of - к чему-л.) ~ амер. акции;
to take stock in покупать акции;
вступать в пай to take ~ in жарг. верить to take ~ in жарг. придавать значение take ~ of инвентаризовать take ~ of производить переучет товаров treasury ~ казначейская ценная бумага treasury ~ собственная акция компании, хранимая в ее финансовом отделе undated ~ бессрочная правительственная облигация voting ~ акция, дающая владельцу право голоса watered ~ разводненный акционерный капитал watered: ~ stock фин. разводненный акционерный капитал ~ запас;
инвентарь;
word stock запас слов;
basic word stock основной словарный фонд;
dead stock (мертвый) инвентарь
См. также в других словарях:
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