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1 diagnosis model
= diagnostic model диагностическая модельEnglish-Russian dictionary of mechanical engineering and automation > diagnosis model
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2 diagnosis model
Автоматика: диагностическая модель -
3 failure diagnosis model
Англо-русский словарь нормативно-технической терминологии > failure diagnosis model
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4 failure diagnosis model
Большой англо-русский и русско-английский словарь > failure diagnosis model
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5 failure diagnosis model
Англо-русский словарь нефтегазовой промышленности > failure diagnosis model
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6 failure diagnosis model
Универсальный англо-русский словарь > failure diagnosis model
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7 failure diagnosis model
The English-Russian dictionary on reliability and quality control > failure diagnosis model
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8 model
модель, макет; образец; шаблон; копия || моделировать
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модель; макет; образец
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модель (для исследования физических явлений; может быть теоретической, физической или математической)
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модель; макет; образец- availability model
- average velocity model
- breakdown model
- bulk-freezing model
- catastrophic failure model
- chain model
- constant hazard model
- constant velocity model
- convolutional model
- corrosion model
- critical-failure model
- depth model
- development simulation model
- discrete model
- electrical model
- exploding reflector model
- failure model
- failure development model
- failure diagnosis model
- failure rate model
- failure tendency model
- fatigue model
- fatigue life model
- fault model
- fault-effect model
- fault-handling model
- fault-testing model
- field model
- formation model
- frozen state model
- gas pool model
- gas reservoir model
- geological model
- geological structural model
- hazard-rate model
- homogeneous equilibrium model
- layered model
- life model
- magnetotelluric model
- maintainability model
- maintenance model
- network model
- oil spill risk assessment model
- plane model
- preproduction model
- preventive model
- product performance model
- proportional hazards model
- reliability growth model
- reliability operational model
- reliability prediction model
- reliability simulation model
- reliability structure model
- relief model
- replacement model
- reservoir model
- safety model
- salt-dome model
- scaled model
- seismic model
- service model
- slip model
- static reliability model
- stratified model
- stress-strength reliability model
- system reliability model
- two-fluid model
- two-layer model
- vertically stratified model
- vulnerability model* * * -
9 diagnosis
1) диагноз2) диагностика; диагностирование; обнаружение [выявление] ошибок или неисправностей (см. тж diagnostics)•- error diagnosis
- fault diagnosis
- intelligent trouble diagnosis
- malfunction diagnosis
- model-based diagnosis
- multifault diagnosis
- off-line diagnosis
- on-line diagnosis
- performance diagnosis
- post-test diagnosis
- remote diagnosisEnglish-Russian dictionary of computer science and programming > diagnosis
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10 model
1) модель; макет; образец; эталон || моделировать; изготавливать по образцу или эталону || образцовый; эталонный2) форма || придавать форму3) фасонного сечения (напр. о металле)•- 3-D model
- 3-D wireframe model
- algorithm model
- analog model
- animation model
- as-machined model
- autoregressive model
- behavioral model
- brand-new model
- CAD model
- CAD solid model
- cammed model
- causal model
- CGS model
- client-server model
- CN model
- component connection model
- computational model
- computer model
- conceptual model
- control model
- data model
- development models
- dexel model
- diagnosis model
- diagnostic model
- die model
- discrete parts manufacturing model
- disturbance model
- ER model
- error model of a machine
- error model of a single axis
- experimental model
- feature-based CAD model
- feature-based model
- finite-dimensional model
- flexible manufacturing model
- FMS model
- force deflection model
- freeform computer model
- full-scale model
- generalized model
- generic action model
- generic activity model
- generic model
- hierarchic data model
- hierarchical data model
- hierarchical model
- hierarchically structured model
- horizontal model
- infinite-dimensional model
- information-logical model
- kinetic laser anneal model
- language model
- large-scale model
- learning model
- life-size model
- life-sized model
- log normal model
- master model
- mathematical surface model
- meaning $ text model
- network model
- observation model
- orthogonal flute model
- OSI model
- parallel computational model
- parameter-oriented model
- Petri model
- PN model
- polyhedral model
- principal model
- process-message model
- product model
- profile model
- qualitative model
- quantitative model
- queueing model
- R and D model
- reference model
- relation model
- relational model
- repair model
- representative model
- reverse engineer model
- scale model
- scaled-down model
- scaled-up model
- sculptured surface model
- semantic model
- shop floor model
- shop floor production model
- signal model
- simulated model
- simulation model
- software model
- solid model
- solids model
- stochastic model
- structural model
- surface model
- surfaced CAD model
- symbolic model
- task-specific model
- technological model
- test model
- time-series model
- tool animation model
- top-of-the-line model
- topological model
- tracking model
- transaction model of AGVs
- true-volume model
- underconstrained model
- undimensioned model
- unifying model
- vertical model
- vibration model
- volumetric error model
- wholistic model
- wire-frame model
- working model
- world modelEnglish-Russian dictionary of mechanical engineering and automation > model
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11 model output diagnosis
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12 model output diagnosis
Экология: анализ выходных данных моделиУниверсальный англо-русский словарь > model output diagnosis
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13 model-based diagnosis
Программирование: диагностирование с использованием моделей -
14 model-based diagnosis
English-Russian dictionary of computer science and programming > model-based diagnosis
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15 diagnosis [diagnostic] model
The English-Russian dictionary on reliability and quality control > diagnosis [diagnostic] model
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16 diagnostic model
English-Russian dictionary of mechanical engineering and automation > diagnostic model
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17 модель диагностирования отказов
Большой англо-русский и русско-английский словарь > модель диагностирования отказов
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18 system
system of axes3-component LDV system3-D LDV system4-D system4-D flight-management system4-D guidance systemAC electrical systemactuation systemaerial delivery systemaerostat systemAEW systemafterburning control systemAI-based expert systemaileron-to-rudder systemair bleed offtake systemair cushion systemair cycle systemair data systemair defence systemair induction systemair refueling systemair traffic control systemair-combat advisory systemair-conditioning systemair-path axis systemair-turbine starting systemairborne early warning systemaircooling systemaircraft reference axis systemaircraft weight-and-balance measuring systemaircraft-autopilot systemaircraft-based systemaircraft-bifilar-pendulum systemaircraft-carried earth axis systemaircraft-carried normal earth axis systemaircrew escape systemairfield lighting control systemairframe/rotor systemairspeed systemalcohol-wash systemalignment control systemall-electronic systemall-weather mission systemaltitude loss warning systemangle-of-attack command systemanti-collision systemanti-g systemantitorque systemanti-icing systemantiskid systemarea-navigation systemARI systemartificial feel systemartificial intelligence-based expert systemartificially augmented flight control systemATC systemattitude and heading reference systemaudio systemaudiovisual systemauto-diagnosis systemauto-hover systemautolanding systemautomatic cambering systemautomatic trim systemautostabilization systemautotrim systemaxis systemB systembalance-fixed coordinate systembase-excited systembasic axis systembeam-foundation systembifilar pendulum suspension systembladder systemblowing systemblowing boundary layer control systemblown flap systembody axis systembody axis coordinate systembody-fitted coordinate systembody-fixed reference systemboom systemboosted flight control systembraking systembreathing systembuddy-buddy refuelling systemcabin pressurization systemcable-mount systemCAD systemcanopy's jettison systemcardiovascular systemcargo loading systemcargo-handling systemcarrier catapult systemcartesian axis systemCat III systemcentral nervous systemCGI systemcirculating oil systemclosed cooling systemclosed-loop systemcockpit systemcockpit management systemcollision avoidance systemcombined cooling systemcommand-by-voice systemcommand/vehicle systemcommercial air transportation systemcompensatory systemcomputer-aided design systemcomputer-assisted systemcomputer-generated image systemcomputer-generated visual systemconcentrated-mass systemconflict-alert systemconservative systemconstant bandwidth systemconstant gain systemconsultative expert systemcontrol systemcontrol augmented systemcontrol loader systemcooling systemcoordinate systemcounterstealth systemcoupled systemcoupled fire and flight-control systemcovert mission systemcrew systemscueing systemcurvilinear coordinate systemdamped systemdata systemdata acquisition systemdata handling systemdata transfer systemdata-gathering systemDC electrical systemdecision support systemdefensive avionics systemdeicing systemdemisting systemdeparture prevention systemdeterministic systemdual-dual redundant system4-D navigation system6-DOF motion systemdiagnosable systemdial-a-flap systemdirect impingement starting systemdisplacement control systemdisplay systemdisplay-augmented systemdivergent systemDLC systemdogfight systemdoor-to-door systemDoppler ground velocity systemdouble-balance systemdrive systemdrive train/rotor systemdry air refueling systemdual-field-of-view systemdual-wing systemdynamic systemearly-warning systemEarth-centered coordinate systemearth-fixed axis systemearth/sky/horizon projector systemejection systemejection display systemejection seat escape systemejection sequence systemejector exhaust systemejector lift systemelection safety systemelectric starting systemelectro-expulsive deicing systemelectro-impulse deicing systemelectro-vibratory deicing systemelectronic flight instrumentation systemElint systememergency power systememitter locator systemEMP-protected systemengine monitoring systemengine-propeller systemengine-related systemenhanced lift systemenvelope-limiting systemenvironmental control systemescape systemexcessive pitch attitude warning systemexhaust systemFADEC systemfault-tolerant systemFBW systemfeathering systemfeedback systemfeel systemfin axis systemfire detection systemfire suppression systemfire-extinguishing systemfire-protection systemfive-point restraint systemfixed-structure control systemflap systemflap/slat systemflash-protection systemflexible manufacturing systemflight control systemflight control actuation systemflight director systemflight inspection systemflight management systemflight path systemflight path axis systemflight test systemflight-test instrumentation systemflotation systemfluid anti-icing systemflutter control systemflutter margin augmentation systemflutter suppression systemfluttering systemfly-by-light systemfly-by-light control systemfly-by-wire systemfly-by-wire/power-by-wire control systemfoolproof systemforce-excited systemforce-feel systemforward vision augmentation systemfuel conservative guidance systemfuel management systemfuel transfer systemfull-vectoring systemfull-authority digital engine control systemfull-motion systemfull-state systemfull-time systemfully articulated rotor systemfuselage axis systemg-command systemg-cueing systemg-limiting systemgas generator control systemgas turbine starting systemglobal positioning systemgoverning systemground collision avoidance systemground proximity warning systemground-axes systemground-fixed coordinate systemground-referenced navigation systemgust alleviation systemgust control systemgyroscopic systemgyroscopically coupled systemhalon fire-extinguishing systemhalon gas fire-fighting systemhands-off systemhead-aimed systemheadup guidance systemhelmet pointing systemhelmet-mounted visual systemhierarchical systemhigh-damping systemhigh-authority systemhigh-lift systemhigh-order systemhigh-pay-off systemhigh-resolution systemhigher harmonic control systemhose-reel systemhot-gas anti-icing systemhub plane axis systemhub plane reference axis systemhub-fixed coordinate systemhydraulic systemhydraulic starting systemhydropneumatic systemhydrostatic motion systemhysteretic systemice-protection systemicing cloud spray systemicing-protection systemidentification friend or foe systemimage generator systemin-flight entertainment systemincidence limiting systeminert gas generating systeminertial coordinate systeminertial navigation systeminertial reference systeminfinite-dimensional systeminformation management systeminlet boundary layer control systeminlet control systeminput systeminstruction systeminstrument landing systeminstrumentation systemintelligence systemintelligent systeminterconnection systemintermediate axis systemintrusion alarm systemintrusion detection systeminverted fuel systemlanding guidance systemlarge-travel motion systemlaser-based visual systemlateral attitude control systemlateral control systemlateral feel systemlateral seat restraint systemlateral-directional stability and command augmentation systemlead compensated systemleft-handed coordinate systemleg restraint systemlife support systemliferaft deployment systemlift-distribution control systemlighter-than-air systemlightly damped systemlightning protection systemlightning sensor systemlightning warning systemlimited-envelope flight control systemlinear vibrating systemliquid oxygen systemload control systemload indication systemlocal-horizon systemloom systemlow-damping systemlow-order systemLQG controlled systemlubrication systemlumped parameter systemMach number systemmain transmission systemmaintenance diagnostic systemmaintenance record systemman-in-the-loop systemman-machine systemmaneuver demand systemmaneuvering attack systemmass-spring-dashpot systemmass-spring-damper systemmast-mounted sight systemmechanical-hydraulic flight control systemmicrowave landing systemMIMO systemmine-sweeping systemmissile systemmissile-fixed systemmission-planning systemmobile aircraft arresting systemmodal cancellation systemmodal suppression systemmode-decoupling systemmodel reference systemmodel-based visual systemmodel-following systemmodelboard systemmolecular sieve oxygen generation systemmonopulse systemmotion systemmotion generation systemmulti-input single-output systemmulti-input, multi-output systemmultimode systemmultibody systemmultidegree-of-freedom systemmultiloop systemmultiple-input single output systemmultiple-input, multiple-output systemmultiple-loop systemmultiple-redundant systemmultiply supported systemmultishock systemmultivariable systemnavigation management systemnavigation/attack systemnavigation/bomb systemNDT systemneuromuscular systemnight/dusk visual systemportable aircraft arresting systemnitrogen inerting systemno-tail-rotor systemnonminimum phase systemnonoscillatory systemnonconservative systemnormal earth-fixed axis systemNotar systemnozzle control systemnuclear-hardened systemobserver-based systemobstacle warning systemoil systemon-board inert gas generation systemon-board maintenance systemon-board oxygen generating systemon-off systemone degree of freedom systemone-shot lubrication systemopen cooling systemopen seat escape systemopen-loop systemoperability systemoptic-based control systemoptimally controlled systemorthogonal axis systemoxygen generation systemparachute systempartial vectoring systempartial vibrating systemperformance-seeking systemperturbed systempilot reveille systempilot vision systempilot-aircraft systempilot-aircraft-task systempilot-in-the-loop systempilot-manipulator systempilot-plus-airplane systempilot-vehicle-task systempilot-warning systempilot/vehicle systempitch change systempitch compensation systempitch stability and command augmentation systempitch rate systempitch rate command systempitch rate flight control systempneumatic deicing systempneumatic ice-protection systempneumodynamic systemposition hold systempower systempower-assisted systempower-boosted systempowered high-lift systempowered-lift systemprecognitive systempressurization systempreview systemprobabilistically diagnosable systemprobe refuelling systempronated escape systempropeller-fixed coordinate systempropulsive lift systemproximity warning systempursuit systempush-rod control systemquantized systemrandom systemrating systemreconfigurable systemrectangular coordinate systemreduced-gain systemreference axis systemrefuelling systemremote augmentor lift systemremote combustion systemresponse-feedback systemrestart systemrestraint systemrestructurable control systemretraction systemride-control systemride-quality systemride-quality augmentation systemride-smoothing systemright-handed axis systemright-handed coordinate systemrigid body systemrobotic refueling systemrod-mass systemroll augmentation systemroll rate command systemrotating systemrotor systemrotor isolation systemrotor-body systemrotor-wing lift systemroute planner systemrudder trim systemrudder-augmentation systemsampled-data systemscheduling systemschlieren systemsea-based systemseat restraint systemseatback video systemself-adjoint systemself-contained starting systemself-diagnosable systemself-excited systemself-repairing systemself-sealing fuel systemself-tuning systemshadow-mask systemshadowgraph systemship-fixed coordinate systemshock systemshort-closed oil systemsighting systemsimulation systemsimulator-based learning systemsingle degree of freedom systemsingle-input multiple-output systemsingularly perturbed systemsituational awareness systemsix-axis motion systemsix-degree-of-freedom motion systemsix-puck brake systemski-and-wheel systemskid-to-turn systemsnapping systemsoft mounting systemsoft ride systemsound systemspeed-stability systemspherical coordinate systemspin recovery systemspin-prevention systemspring-mass-dashpot systemstability and control augmentation systemstability augmentation systemstability axis coordinate systemstability enhancement systemstall detection systemstall inhibitor systemstall protection systemstall warning systemstarting systemstealth systemstochastic systemstorage and retrieval systemstore alignment systemstores management systemstrap-down inertial systemstructural systemstructural-mode compensation systemstructural-mode control systemstructural-mode suppression systemSTT systemsuppression systemsuspension systemtactile sensory systemtail clearance control systemtail warning systemtask-tailored systemterrain-aided navigation systemterrain-referencing systemtest systemthermal control systemthermal protection systemthreat-warning systemthree-axis augmentation systemthree-body tethered systemthree-control systemthree-gyro systemthrough-the-canopy escape systemthrust modulation systemthrust-vectoring systemtilt-fold-rotor systemtime-invariant systemtime-varying systemtip-path-plane coordinate systemtorque command/limiting systemtractor rocket systemtrailing cone static pressure systemtraining systemtrajectory guidance systemtranslation rate command systemtranslational acceleration control systemtrim systemtrim tank systemtriple-load-path systemtutoring systemtwin-dome systemtwo degree of freedom systemtwo-body systemtwo-input systemtwo-input two-output systemtwo-pod systemtwo-shock systemtwo-step shock absorber systemunpowered flap systemunpowered high-lift systemutility services management systemvapor cycle cooling systemvariable feel systemvariable stability systemvariable structure systemvestibular sensory systemvibrating systemvibration isolation systemvibration-control systemvibration-damping systemvideo-disc-based visual systemvisor projection systemvisual systemvisual display systemvisual flying rules systemvisual sensory systemvisual simulation systemvisually coupled systemvoice-activated systemvortex systemvortex attenuating systemVTOL control systemwake-imaging systemwarning systemwater injection cooling systemwater-mist systemwater-mist spray systemweather systemwheel steering systemwide angle visual systemwind coordinate systemwind shear systemwind-axes systemwind-axes coordinate systemwind-fixed coordinate systemwing axis systemwing flap systemwing sweep systemwing-load-alleviation systemwing-mounted systemwing/propulsion systemwiring systemyaw vane system -
19 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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20 DSM
1) Компьютерная техника: Diagnostic And Statistical Manual, Digital Speech Mapping2) Военный термин: Data Systems Modernization, Dedicated Security Mode, Defense Standardization Manual, Defense Supplier Marketplace, Director of Supply and Maintenance, Directorate of Servicing and Maintenance, Distinguished Service Medal, Double Sight Monitor, data system modernization, design standards manual, direct support maintenance, direction of systems management3) Техника: data status messages, data structure matrix, data systems modification, deep space measurement, digital select module, digital simulation mode, digital storage media, dismount, dual simplex method4) Шутливое выражение: Doesn't Stay Moving5) Строительство: глубокое грунтосмешение6) Математика: двойственный симплекс-метод (dual simplex method)7) Автомобильный термин: cистема курсовой устойчивости, система динамической стабилизации, Dynamic Stability Management, Driver's Seat Module8) Биржевой термин: Daily Standard Market9) Грубое выражение: Damned Silly Manual, Dumb Stupid Manager, Dumb Stupid Mustang10) Геодезия: ЦММ, цифровая модель местности, digital surface model11) Оптика: dynamic scattering mode13) Телекоммуникации: Demand Side Management, дельта-сигма-модуляция14) Сокращение: Data Systems Modernisation, Digital System Model, deep soil mixing, Delta Sigma Modulation, модуль вспомогательного бурового оборудования (drilling support module), Dynamic Scanning Module15) Университет: Dynamic Structures and Materials17) Электроника: Dimensional Stereo Microphone18) Вычислительная техника: direct sequence modulation, disk storage module, distributed shared memory, модуль дискового ЗУ, (TWAIN) Data Source Manager (MS, Windows)19) Нефть: drilling system module20) Транспорт: Des Moines International Airport21) Пищевая промышленность: Dead Sea Mud22) Фирменный знак: Diamond Star Motor, Diamond Star Motors, Diamond Star Motorsports, Dragon Scale Mail, Dual Star Motors, Dutch State Mines23) Деловая лексика: Decision Support Modeling, Display Systems Manufacturing, Domestic Salvage Market24) Глоссарий компании Сахалин Энерджи: вспомогательный буровой модуль (drilling support module)25) Сетевые технологии: Dedicated Server Monitor, Distributed Storage Manager26) Сахалин Р: drilling support module27) Расширение файла: Microsoft Developer Studio Macro, Digital Sound Module28) Энергосистемы: Demand-Side Management29) Нефть и газ: instantaneous flow after correction30) Должность: Da Skills Manifest, District Sales Manager31) Чат: Dumb Stupid Moron32) Аэропорты: Des Moines International Airport, Des Moines, Iowa USA33) НАСА: Data Systems Manager, Deep Space Maneuver34) Программное обеспечение: Data State Manager, Dynamic Screen Manager35) Базы данных: Database Service Manager
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