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process+without+memory

Толкование Перевод

1 process without memory

Математика: процесс без памяти

Универсальный англо-русский словарь > process without memory
2 process

1) процесс

2) процедура

3) технологический процесс || технологический

4) приём, способ

5) обрабатывать; перерабатывать

•

process with bounded aftereffect — процесс с ограниченным последействием

process with continuous spectrum — процесс с непрерывным спектром

process with denumerably many states — процесс со счётным множеством состояний

process with discrete spectrum — процесс с дискретным спектром

process with immigration — процесс с иммиграцией

process with independent increments — процесс с независимыми приращениями, аддитивный процесс

process with interactions — процесс с взаимодействиями

process with maximal rank — процесс с памятью

process with nonstationary increments — процесс с нестационарными приращениями, неоднородный во времени процесс

process with orthogonal increments — процесс с ортогональными приращениями

process with recycle — циркуляционный процесс

process with stationary and independent increments — процесс со стационарными и независимыми приращениями, однородный процесс

process with stationary increments — процесс со стационарными приращениями, однородный во времени процесс

process without aftereffect — процесс без последействия

process without memory — процесс без памяти

process without spontaneous changes — процесс без спонтанных изменений

- a priori process

- absolutely random process
- absorbing barrier process
- abstract process

- acid open-hearth process

- additive process

- age-dependent process

- alternating renewal process

- autoregressive process

- auxiliary process

- band-limited process

- basic Bessemer process
- basic oxygen process
- basic process

- basis open-hearth process

- Bessemer process

- binary process

- binomial process

- birth and death process

- birth process

- birth-and-death process

- birth-illness-death process

- bivariate process

- bloomery process

- bracketing process

- branching process

- canonical process

- cascade process

- centered process

- circular process

- circularly correlated process

- clustering process

- collecting process

- computation process

- computational process

- conditioned process

- conservative process

- constructive process

- contagion process

- continuation process

- continuous process

- continuous spinning process

- controlled process

- convergent process

- converter process

- convex process

- countercurrent process

- counter-flow process

- counting process

- Crouse process

- cumulative process

- cupola process

- decay process

- decision process

- decision-making process

- decomposable process

- degenerate process

- denumerable process

- denumerably-valued process

- diagonal process

- difference process

- differential process

- differentiation process

- digital process

- direct ore-reduction process
- direct reduction process
- directing process

- discontinuous process
- discrete process - discrete-time process
- dishonest process

- dissipative process

- distributed-parameter process

- disturbed harmonic process

- divergent process

- drawn-gate CMOS process

- dry-press process

- dual process

- dynamic process

- elementary process

- empirical process

- equally correlated process

- equally-correlated process

- equilibrium process

- ergodic process

- evolutionary process

- exhaustive process

- explosive process

- exponential process

- extended process

- extinction process

- feedback process

- feedforward process

- fictitions process

- finite process

- fitting process

- fundamental process

- general process

- generating process

- genetic process

- gradient process

- graph-searching process

- growth process

- half-additive process

- harmonic process

- harmonizable process

- hereditary process

- heterogeneous in time process

- heterogeneous process

- heuristic process

- holomorphic process

- homogeneous process

- imbedded renewal process

- immigration process

- increasing process

- independent increments process

- indirect process

- induced process

- infinetely divisible process

- infinite process

- infinitely decomposable process

- infinitesimal process

- informational process

- inhomogeneous process

- integer-value process

- integrable process

- interpolatory process

- inverse process

- irreversible process

- isentropic process

- isobaric process

- isochoric process

- isonormal process

- isothermal process

- isotropic process

- iterative process

- jointly stationary process

- jump process

- Kroll process

- ladder process

- learning process

- left-continuous process

- linear process

- linearly regular process
- linearly singular process - locally integrable process - locally stable process
- logistic process

- lumped process

- many-state death process

- martingale process

- measurable process

- memoryless process

- metrically transitive process

- minimal process

- mixed process

- mixing process

- modulated process

- Moebius process

- monotonous process

- moving summation process

- moving-average process

- multidimensional process

- multiparameter process

- multiple-chain process

- multiple-phase process

- multiplicative process

- multistage process
- multistep process - multivariate process - N-dimensional process
- near-equilibrium process

- neutral process

- noise process

- nondeterministic process

- nondissipative process

- nonequilibrium process

- nonhereditary process

- nonhomogeneous process

- nonnormalized process

- nonpreemptive process

- nonstationary process

- nonsteady process

- numerical process

- observation process

- observed process

- one-dimensional process

- one-sided process

- one-state process

- open-hearth process

- optimal process

- optimum process

- Orbach process

- orthogonal process

- orthogonalization process

- oxidizing process

- partially deterministic process
- partially mixing process
- percolation process

- periodic process

- periodically stationary process

- persistent process

- perturbated process

- piecewise-linear process

- pig-and-ore process

- plasma spraying process

- point process

- positively regular process

- predictable process

- probabilistic process

- process of abstraction

- process of exhaustion

- process of finite variation
- process of hidden periodicities
- process of iteration

- process of randomization

- process oil

- product process

- production process

- pseudorandom process

- purely random process

- pursuit process

- quasistable process

- quasistationary process

- random-walk process

- real-valued process

- reciprocal process

- recurrent process

- recursive process

- reduced process

- reducible process

- reduction process

- regenerative process

- regular process

- renewal process

- repeatable process

- repetitive process

- restorative process

- return process

- reverberatory process

- reverse process

- rewriting process

- right-continuous process

- risk process

- rotor process

- sampling process

- search process

- second-order stationary process

- selection process

- separable process

- sequential decision process

- sequential process

- shuffling process

- side-blown converter process

- sieving process

- simple process

- simplex process

- singular process

- slowly branching process

- smoothed process

- smoothing process

- soft-mud process

- space-time process

- spatial process

- spectral process

- stagewise process

- standard process

- statistically stationary process
- steady stochastic process
- steady-state process

- steel-making process

- stencil process

- stepwise process

- stochastic process

- stopped process

- strictly stationary process

- subordinated process

- summation process

- supercritical process

- synergistic process

- temporally continuous process
- temporally homogeneous process
- terminating process

- theorem-proving process

- time-dependent process

- time-homogeneous process

- trajectory process

- transient process

- transport process

- trial-and-error process

- two-dimensional process

- two-sided process

- two-stage process

- two-state process

- umklapp process

- uncontrolled process

- uniform process

- unit process

- unstable process

- unsteady process

- unsteady-state process

- vector process

- vector-valued process

- weakly correlated process
- weakly ergodic process - weakly stationary process
- welding process

- well-measurable process

- wide sense stationary process

- Wohlwill process

- xiphoid process

- zero-one renewal process

English-Russian scientific dictionary > process
3 Memory

   1) A Unitary Search Process for All the Phenomena of 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)

   2) Semantic Memory Is a Mental Thesaurus

   [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)

   3) The Development of Mnemonic Codes

   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 Psychology

   If 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)

   5) The Constituent Elements of Memory Theory

   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)

   6) The Problem with the Memory Metaphor

   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 Discouraging

   The 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)

   8) The Structure and Function of a Schema in Memory

   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)

   9) Competence and Performance in Theories of Memory

   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)

    10) Metaphors of Memory

   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)

    11) Comparison of Primary Memory and Secondary Memory

   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)

    12) Semantic Memory and Episodic Memory

   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)

    13) The Relation of Memory to Thinking

   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
4 Knowledge

   1) To Exist Is to Be Perceived

   It is indeed an opinion strangely prevailing amongst men, that houses, mountains, rivers, and, in a word, all sensible objects, have an existence, natural or real, distinct from their being perceived by the understanding. But, with how great an assurance and acquiescence soever this principle may be entertained in the world, yet whoever shall find in his heart to call it into question may, if I mistake not, perceive it to involve a manifest contradiction. For, what are the forementioned objects but things we perceive by sense? and what do we perceive besides our own ideas or sensations? and is it not plainly repugnant that any one of these, or any combination of them, should exist unperceived? (Berkeley, 1996, Pt. I, No. 4, p. 25)

   2) Abstract Science or Demonstration Is a More Perfect Species of Knowledge

   It seems to me that the only objects of the abstract sciences or of demonstration are quantity and number, and that all attempts to extend this more perfect species of knowledge beyond these bounds are mere sophistry and illusion. As the component parts of quantity and number are entirely similar, their relations become intricate and involved; and nothing can be more curious, as well as useful, than to trace, by a variety of mediums, their equality or inequality, through their different appearances.

   But as all other ideas are clearly distinct and different from each other, we can never advance farther, by our utmost scrutiny, than to observe this diversity, and, by an obvious reﬂection, pronounce one thing not to be another. Or if there be any difficulty in these decisions, it proceeds entirely from the undeterminate meaning of words, which is corrected by juster definitions. That the square of the hypotenuse is equal to the squares of the other two sides cannot be known, let the terms be ever so exactly defined, without a train of reasoning and enquiry. But to convince us of this proposition, that where there is no property, there can be no injustice, it is only necessary to define the terms, and explain injustice to be a violation of property. This proposition is, indeed, nothing but a more imperfect definition. It is the same case with all those pretended syllogistical reasonings, which may be found in every other branch of learning, except the sciences of quantity and number; and these may safely, I think, be pronounced the only proper objects of knowledge and demonstration. (Hume, 1975, Sec. 12, Pt. 3, pp. 163-165)

   3) Knowledge Derives from Two Fundamental Sources of the Mind

   Our knowledge springs from two fundamental sources of the mind; the first is the capacity of receiving representations (the ability to receive impressions), the second is the power to know an object through these representations (spontaneity in the production of concepts).

   Through the first, an object is given to us; through the second, the object is thought in relation to that representation.... Intuition and concepts constitute, therefore, the elements of all our knowledge, so that neither concepts without intuition in some way corresponding to them, nor intuition without concepts, can yield knowledge. Both may be either pure or empirical.... Pure intuitions or pure concepts are possible only a priori; empirical intuitions and empirical concepts only a posteriori. If the receptivity of our mind, its power of receiving representations in so far as it is in any way affected, is to be called "sensibility," then the mind's power of producing representations from itself, the spontaneity of knowledge, should be called "understanding." Our nature is so constituted that our intuitions can never be other than sensible; that is, it contains only the mode in which we are affected by objects. The faculty, on the other hand, which enables us to think the object of sensible intuition is the understanding.... Without sensibility, no object would be given to us; without understanding, no object would be thought. Thoughts without content are empty; intuitions without concepts are blind. It is therefore just as necessary to make our concepts sensible, that is, to add the object to them in intuition, as to make our intuitions intelligible, that is to bring them under concepts. These two powers or capacities cannot exchange their functions. The understanding can intuit nothing, the senses can think nothing. Only through their union can knowledge arise. (Kant, 1933, Sec. 1, Pt. 2, B74-75 [p. 92])

   4) The Means by Which Metaphysics Can Be Perfected as a Science

   Metaphysics, as a natural disposition of Reason is real, but it is also, in itself, dialectical and deceptive.... Hence to attempt to draw our principles from it, and in their employment to follow this natural but none the less fallacious illusion can never produce science, but only an empty dialectical art, in which one school may indeed outdo the other, but none can ever attain a justifiable and lasting success. In order that, as a science, it may lay claim not merely to deceptive persuasion, but to insight and conviction, a Critique of Reason must exhibit in a complete system the whole stock of conceptions a priori, arranged according to their different sources-the Sensibility, the understanding, and the Reason; it must present a complete table of these conceptions, together with their analysis and all that can be deduced from them, but more especially the possibility of synthetic knowledge a priori by means of their deduction, the principles of its use, and finally, its boundaries....

   This much is certain: he who has once tried criticism will be sickened for ever of all the dogmatic trash he was compelled to content himself with before, because his Reason, requiring something, could find nothing better for its occupation. Criticism stands to the ordinary school metaphysics exactly in the same relation as chemistry to alchemy, or as astron omy to fortune-telling astrology. I guarantee that no one who has comprehended and thought out the conclusions of criticism, even in these Prolegomena, will ever return to the old sophistical pseudo-science. He will rather look forward with a kind of pleasure to a metaphysics, certainly now within his power, which requires no more preparatory discoveries, and which alone can procure for reason permanent satisfaction. (Kant, 1891, pp. 115-116)

   5) Knowledge Is Only Real in the Form of System

   Knowledge is only real and can only be set forth fully in the form of science, in the form of system. Further, a so-called fundamental proposition or first principle of philosophy, even if it is true, it is yet none the less false, just because and in so far as it is merely a fundamental proposition, merely a first principle. It is for that reason easily refuted. The refutation consists in bringing out its defective character; and it is defective because it is merely the universal, merely a principle, the beginning. If the refutation is complete and thorough, it is derived and developed from the nature of the principle itself, and not accomplished by bringing in from elsewhere other counter-assurances and chance fancies. It would be strictly the development of the principle, and thus the completion of its deficiency, were it not that it misunderstands its own purport by taking account solely of the negative aspect of what it seeks to do, and is not conscious of the positive character of its process and result. The really positive working out of the beginning is at the same time just as much the very reverse: it is a negative attitude towards the principle we start from. Negative, that is to say, in its one-sided form, which consists in being primarily immediate, a mere purpose. It may therefore be regarded as a refutation of what constitutes the basis of the system; but more correctly it should be looked at as a demonstration that the basis or principle of the system is in point of fact merely its beginning. (Hegel, 1910, pp. 21-22)

   6) Knowledge, Action, and Evaluation Are Interconnected

   Knowledge, action, and evaluation are essentially connected. The primary and pervasive significance of knowledge lies in its guidance of action: knowing is for the sake of doing. And action, obviously, is rooted in evaluation. For a being which did not assign comparative values, deliberate action would be pointless; and for one which did not know, it would be impossible. Conversely, only an active being could have knowledge, and only such a being could assign values to anything beyond his own feelings. A creature which did not enter into the process of reality to alter in some part the future content of it, could apprehend a world only in the sense of intuitive or esthetic contemplation; and such contemplation would not possess the significance of knowledge but only that of enjoying and suffering. (Lewis, 1946, p. 1)

   7) The Evolution of Knowledge

   "Evolutionary epistemology" is a branch of scholarship that applies the evolutionary perspective to an understanding of how knowledge develops. Knowledge always involves getting information. The most primitive way of acquiring it is through the sense of touch: amoebas and other simple organisms know what happens around them only if they can feel it with their "skins." The knowledge such an organism can have is strictly about what is in its immediate vicinity. After a huge jump in evolution, organisms learned to find out what was going on at a distance from them, without having to actually feel the environment. This jump involved the development of sense organs for processing information that was farther away. For a long time, the most important sources of knowledge were the nose, the eyes, and the ears. The next big advance occurred when organisms developed memory. Now information no longer needed to be present at all, and the animal could recall events and outcomes that happened in the past. Each one of these steps in the evolution of knowledge added important survival advantages to the species that was equipped to use it.

   Then, with the appearance in evolution of humans, an entirely new way of acquiring information developed. Up to this point, the processing of information was entirely intrasomatic.... But when speech appeared (and even more powerfully with the invention of writing), information processing became extrasomatic. After that point knowledge did not have to be stored in the genes, or in the memory traces of the brain; it could be passed on from one person to another through words, or it could be written down and stored on a permanent substance like stone, paper, or silicon chips-in any case, outside the fragile and impermanent nervous system. (Csikszentmihalyi, 1993, pp. 56-57)

Historical dictionary of quotations in cognitive science > Knowledge
5 system

1) система

2) установка; устройство

•

to get the system on-stream — вводить систему в действие

- 2D CAD system
- 2D design system
- 2-D draughting system
- 2D milling CAM system
- 3 nonsimultaneous axes control system
- 3D CAD system
- 3D design system
- 3D milling CAM system
- 3-D surface-modeling system
- 3-D system
- abrasive waterjet cutting system
- absolute control system
- absolute dimension measuring system
- accident-protection system
- accountancy system
- accounting data system
- ACO system
- acoustic feedback control system
- acquisition system
- active enclosure system
- adaptable system
- adaptive CNC system
- adaptive control constraint system
- adaptive control system
- adaptive pulsing system
- adaptive robot system
- add-on NC programming system
- administrative information data system
- administrative information system
- ADR system
- advanced command data system
- advanced data analysis system
- advanced data display system
- advanced display system
- advanced integrated data system
- advanced interactive debugging system
- advanced management information system
- advisory system
- AGV system
- air flotation system
- air-bearing system
- air-cooling system
- air-delivery system
- air-gaging system
- airlock system
- air-oil mist lubrication system
- air-plasma arc-profiling system
- air-purge system
- alarm system
- all-enveloping guard system
- analog computing system
- analog recording system
- angstrom-positioning system
- antideflection system
- antilock brake system
- antisag system
- application-specific system
- APT generating expert system
- Archimedes system
- array system
- AS/RS system
- assembly management system
- assembly system
- attitude display system
- autolube system
- automated communications and messages processing system
- automated design and optimization of control system
- automated design system
- automated digital design system
- automated industrial management system
- automated information data system
- automated information dissemination system
- automated information retrieval system
- automated inventory distribution system
- automated machining system
- automated management information system
- automated management system
- automated measuring system
- automated parts input-output system
- automated reliability and maintenance management system
- automated storage control system
- automatic alignment-and-centering system
- automatic call distribution system
- automatic CAM system
- automatic chuck-changing system
- automatic data acquisition system
- automatic data distribution system
- automatic data system
- automatic diagnostic-and-recovery system
- automatic display plotting system
- automatic distributive numerical control system
- automatic fixturing system
- automatic gaging-and-compensating system
- automatic measurement-and-compensation system
- automatic message accounting system
- automatic message distribution system
- automatic pallet storage/retrieval system
- automatic program transfer system
- automatic record evaluation system
- automatic telemetry system
- automatic test analysis system
- automatic test system
- automatic testing, evaluating and reporting system
- automatic tool cassette changer system
- automatic tool retraction system
- automatic tool retraction/correction/reentry system
- automatic tool wear/tool broken sensing system
- automatically taught system
- automation system
- autonomous system
- autopatch system
- AWS system
- axis drive system
- axis motor system
- axis-stopping system
- backlash-free friction system
- back-to-back system
- balance system
- balanced system of forces
- balanced system
- bar feed system
- bar pulling system
- bar pusher system
- barring coding system
- base coordinate system
- base data system
- base file system
- base operating information system
- basic disk operating system
- basic hole system
- basic input/output system
- basic NC system
- basic programming system
- basic shaft system
- batching system
- batch-machining system
- battery system
- BCC management information system
- beam delivery system
- belt turnover system
- belt twist system
- binary system
- binary vision system
- biped robotic system
- block-tool system
- block-type tool change system
- bonded stores system
- boring system
- bought-in control system
- brake system
- branch information system
- breakaway system
- breathing system
- broad system of ordering
- BTA deep-hole-drilling system
- BTA-style deep-hole-drilling system
- bug-free system
- building block system
- bulk system
- business information system
- buy-and-plug-in system
- C/C system
- cable and hose carrying system
- CAD access system
- CAD system
- CAD/CAM system
- CAD/CAM/CAE and product data management system
- CAD/CAM/CAE system
- CAD/CAPP/CAM system
- CADAR system
- CAD-integrating system
- CAD-only system
- CAE system
- CAE/CAD/CAM system
- CAG system
- CAM system
- cam-and-lever system
- capacitance-based measuring system
- CAPP system
- capture system
- carrierband system
- cart/pallet transfer system
- Cartesian coordinate system
- cassette jaw-change system
- cell control system
- cell management system
- cell-type system
- cellular manufacturing system
- central analog data distributing and controlling system
- central automatic message accounting system
- central storage system
- centralized control system
- centralized coolant and extractor system
- centralized swarf conveying system
- centralized swarf removal system
- chain conveyor system
- check system
- checking system
- checkout system
- chiller system
- chip conveyor system
- chip guard system
- chip-evacuation system
- chuck/chuck jaw changing system
- chucking system
- chuck-jaw system
- chuck-loading system
- CIM system
- circular monitoring system
- circular part-processing system
- circulating lubrication system
- circulating oil system
- circulation system
- clamping system
- closed cooling system
- closed loop control system
- closed loop machine control system
- closed loop size control system
- closed loop system
- closed-proprietary system
- CM system
- CNC hardware system
- CNC machine tool system
- CNC programming system
- CNC system
- CNC transfer system
- CNC-ACC system
- CNC-control system
- coherent system of units
- collecting system
- collet pad top jaw system
- combined cooling system
- combined production system
- command-line NC system
- commercial vision system
- communication system
- companion system
- comprehensive power measurement system
- computer analysis and design system
- computer automation real-time operating system
- computer data communication system
- computer NC system
- computer system
- computer vision system
- computer-aided design support system
- computer-aided dispatch system
- computer-aided gaging system
- computer-aided programming system
- computer-aided telemetry system
- computer-aided test system
- computer-assisted command system
- computer-assisted message processing system
- computer-assisted microfilm retrieval system
- computer-assisted operation sequence planning system
- computer-automated machine-tool system
- computer-automated test system
- computer-based management system
- computer-based message system
- computer-controlled materials-handling system
- computer-controlled system
- computer-coordinated measuring system
- computer-directed swing-arm tool-changing system
- computer-driven control system
- computer-hosted manufacturing system
- computer-integrated manufacturing system
- computer-integrated system
- computerized information retrieval system
- computerized machine control system
- computerized manufacturing system
- computerized numerical control system
- computerized production control system
- computerized shopfloor data collection system
- computer-oriented production management system
- computer-oriented system
- computing system
- concurrent force system
- conductor system
- conservative system
- constant delivery system
- constant volume system
- constant-contact scanning system
- constraint satisfaction system
- continuous feedback control system
- continuous flow system
- continuous-path CNC system
- continuous-path control system
- contouring control system
- contouring system
- controlled path system
- controlling system
- conventional ACC system
- conversational analysis and drafting system
- conveying system
- conveyor system
- conveyoring system
- conveyorized work-handling system
- coolant clarification system
- coolant laundering system
- coolant mist system
- coolant recirculating system
- coolant recovery system
- coolant recycling system
- coolant supply system
- coolant-circulating system
- coolant-thru-body system
- cooling system
- coordinate drive system
- coordinate system
- coprocessor board system
- copymill control system
- corporate information and office system
- coupling system
- CPS system
- CRT control system
- CRT system
- customer-oriented system
- customized FMS control system
- cut-piece transfer system
- cycloidal tooth system
- data base management system
- data communication system
- data control system
- data input management system
- data management system
- data origination system
- data processing system
- data retrieval system
- data transfer system
- datum system for geometrical tolerancing
- datum system
- DDM system
- decentralized DNC system
- decision enabling system
- decision support system
- dedicated production system
- deep-hole-drilling system
- defect-free machining system
- delivery system
- demand pull flexible system
- demand push flexible system
- departmental management system
- descaling system
- design coordinate system
- design support system
- design-automation system
- design-for-manufacturing system
- design-with-feature system
- desk-top publishing system
- deterministic system
- dexel-based system
- diagnostic communication control system
- diagnostic computer control system
- dialog system
- diamond-lapping system
- digital readout system
- digitizing system
- digitizing/data capture system
- dimensional verification system
- direct impingement starting system
- direct lubrication system
- direct NC system
- discrete-continuous system
- dispatcher system
- distributed computer system
- distributed mass-spring system
- distributed microprocessor system
- distributed processing system
- distributed quality system
- distributed system
- distributive numerical control system
- DNC flexible machining system
- DNC machine control system
- DNC machine tool control system
- DNC system
- DNC/FM system
- document processing system
- document retrieval system
- document search system
- domain-expert system
- Doppler system
- DOS CAM system
- double tube system
- dowel pin system
- DRO system
- drop-feed-lubrication system
- DTP system
- dual laser optical system
- dual laser referencing system
- dual system
- dual-beam LDDM system
- dual-pallet shuttle system
- dual-shaft electric propulsion system
- dynamic beam focusing laser system
- dynamic data system
- dynamic mapping system
- early warning system
- eddy current damper system
- edge-sensing system
- edge-type positioning system
- eight-station pallet system
- electrical contact tracing system
- electrofluidic control system
- emergency protection system
- enclosure system
- encoder checking system
- endpoint locating system
- energy-adaptive system
- energy-saving drive system
- engine starting system
- entry-level NC system
- environmental control system
- equivalent rigid link system
- equivalent systems of forces
- ESD system
- estimating system
- example-driven system
- expert control system
- expert process planning system
- expert system
- external box system
- extractor system
- fact retrieval system
- factory automation system
- fault detection system
- fault-signal system
- FBG system
- feasibility routing system
- feature-based CAM system
- feature-based system
- feed system
- feedback control system
- feedback gaging system
- feedback position control system
- feedback system
- feed-drive system
- feedforward compensatory control system
- feed-only AC system
- feed-overriding system
- FFS system
- file control system
- finite capacity scheduling system
- fixed coordinate system
- fixed-feature NC system
- fixed-rail system
- fixture design system
- fixture system
- fixturing system
- flanged pipe system
- flexible assembly system
- flexible automated manufacturing system
- flexible automation system
- flexible computer-controlled robotic system
- flexible fabricating system
- flexible fixturing system
- flexible handling system
- flexible laser optical system
- flexible laser system
- flexible lathe system
- flexible machine system
- flexible machining center system
- flexible machining system
- flexible manufacturing system
- flexible NC system
- flexible press system
- flexible tooling system
- flexible transfer system
- flexible turning system
- flood coolant system
- flow-line production system
- flow-type manufacturing system
- fluid management system
- fluid power system
- flush-type cooling system
- fly system
- FMS operating system
- FMS/CAD/CAM system
- FMS-type production system
- force measurement system
- force sensory system
- force system
- force-sensing system
- forecasting system
- four-station pallet system
- four-tier quality system
- FROG navigation system
- FROG system
- full-blown system
- fully specified system
- gage system
- gaging computer system
- gaging-and-compensating system
- gantry loading system
- gantry-based turning system
- gantry-style motion system
- gas-turbine starting system
- gating system
- gear roller system
- gear system
- gear testing system
- general information retrieval system
- generative planning system
- generic control system
- generic messaging system
- generic system
- glass fiber system
- glazing system
- goal-seeking system
- graphic numerical control system
- graphic processing system
- graphics system
- graphics-oriented system
- grating measuring system
- gravity oil system
- gray scale imaging system
- grinder vision system
- group control system
- guarding system
- guidance system
- guiding system
- handling system
- handwriting-input system
- hard-automated system
- hardware NC system
- hardware support system
- head change system
- head changer system
- head-changing flexible manufacturing system
- help system
- hierarchical coding system
- hierarchical control system
- hierarchical information control system
- high-noise-immunity system
- high-rise system
- high-speed positioning system
- high-speed-processor control system
- high-volume system
- Hirth gear-tooth system
- holding system
- holding tool system
- hole system
- holonomic system
- host computer-assisted programming system
- host distributive numerical control system
- hybrid computing system
- hydraulic oil system
- hydraulic system
- hydraulic-circuit system
- hypertext system
- ID system
- IDNC system
- illumination system
- image detection system
- image processing system
- imaging system
- IMC system
- immersion-washing system
- inconsistent system of equations
- incremental measuring system
- index system
- indirect lubrication system
- individual lubrication system
- inductive telemetry system
- inductively guided cart system
- industrial vision system
- in-feed system
- inference system
- in-floor chip-disposal system
- information infrastructure system
- information logical system
- information processing system
- information storage and retrieval system
- information system
- information-gathering system
- information-management system
- information-sharing system
- infrared imaging system
- infrared system
- in-house minicomputer system
- in-house system
- inlet control system
- in-process gaging system
- in-process sensing system
- in-process storage system
- insert-selection system
- instrumentation system
- insulating system
- integral movement monitoring system
- integrated CAD/CAPP/CAM system
- integrated CAM system
- integrated circuit numerical control system
- integrated computer system
- integrated information system
- integrated machine system
- integrated machining system
- integrated manufacturing and assembly system
- integrated manufacturing system
- integrated NC machine system
- integrated production system
- integrated sensor system
- intelligent control system
- interactive control system
- interactive graphics processing system
- interactive manufacturing control system
- interconnection system
- interdepartmental communication system
- interferometer measuring system
- interlocking system
- interrupt-driven system
- inventory-management system
- involute tooth system
- IR fault-signal system
- IR system
- ISO system of limits and tolerances
- isolated word recognition system
- jig boring measuring system
- job shop-type flexible system
- joint-actuation system
- just-in-time production system
- kanban pull system
- kinetic control system
- kitting system
- knowledge base management system
- knowledge system
- knowledge-based information system
- knowledge-based system
- krypton laser system
- labeling system
- labor-intensive system
- language-based NC system
- laser beam orientation system
- laser beam positioning system
- laser calibration system
- laser combination energy system
- laser digitizing system
- laser driving system
- laser full automated system
- laser inspection system
- laser interferometer measuring system
- laser machining system
- laser metalworking system
- laser micrometer system
- laser monitoring system
- laser mount system
- laser optical transformation system
- laser pulse power system
- laser pump system
- laser referencing system
- laser thread measurement system
- laser transducer system
- laser-cutting system
- laser-gaging system
- layered control system
- LDDM system
- lead screw drive system
- learning system
- library reference system
- library system
- light guide system
- light recognition system
- line motion control system
- line motion system
- line path system
- linear index system
- linear system of constant coefficients
- linear time invariant system
- linear time-varying system
- linear-encoder-equipped system
- LMFC system
- load/unload system
- loading robot system
- load-monitoring system
- local communications system
- logistics system
- look-up table system
- low-loss optical system
- low-volume lubricant delivery system
- lube system
- lubrication system with continuous delivery
- lubrication system with cyclic delivery
- lubrication system with performance control
- lubrication system without performance control
- lubrication system
- M system
- machine control system
- machine coordinate system
- machine health-monitoring system
- machine management system
- machine surveillance system
- machine tool capability-conditioning system
- machine tool system
- machine vision system
- machine/control system
- machine/tool/workpiece system
- machine-flexible system
- machine-zero reference system
- machining-cell system
- magnetic control system
- magnetic shaft suspension system
- main control system
- maintenance tracking system
- make-up system
- management control system
- management information system
- management system
- management-and-manufacturing system
- managerial reporting system
- man-computer system
- man-machine system
- man-plus-machine system
- manual data input system
- manual programming system
- manufacturing execution system
- manufacturing optimization system
- manufacturing software system
- manufacturing system
- many-degrees-of-freedom system
- many-variable system
- mass-elastic system
- master manufacturing control system
- master-slave control system
- material flow system
- material movement system
- material storage system
- materials-handling control system
- materials-handling system
- matrix array system
- matrix-type system
- MDI contouring control system
- MDI control system
- MDI NC system
- mean line system
- measurement/inspection system
- measuring coordinate system
- measuring system
- measuring/compensation system
- mechanical interface coordinate system
- memory NC system
- memory system
- menu drive system
- menu system
- menu-driven programming system
- metalforming production system with robots
- metalworking laser system
- metamorphic system
- metareasoning system
- metering system
- metrology system
- MIC system
- micro CAD/CAM programming system
- microadjustment system
- microchip-managed control system
- microdispensing system
- microintegrated system
- microload system
- micropackaged distributed system
- microprocessor based system
- microprocessor CNC system
- microprocessor system
- microprocessor-development system
- microstep control system
- microwave drill detection system
- milling CAM system
- milling system
- minicomputer-based numerical control system
- minicomputer-based system
- minicomputer-based test system
- miniload automated storage and retrieval system
- miniload system
- minimal constraint system
- minimum phase shift system
- mist-cooling system
- mixed forging-machining system
- mobility system
- model reference adaptive system
- moderately sized manufacturing system
- modular clamping system
- modular component tooling system
- modular fixture system
- modular holding system
- modular system
- modular tooling system
- modular work holding system
- monitoring system
- monorail material handling system
- motor position sensing system
- mounting system
- MPM system
- MRC system
- MRP system
- MS-DOS system
- multiaxis laser system
- multimachine system
- multimedia system
- multinetwork system
- multipallet system
- multiple computer system
- multiple laser technology system
- multiple pallet changer system
- multiple pallet handling system
- multiple parts feeding system
- multiple sensory system
- multiple spindle head handling-and-changing system
- multiple system of indexing
- multiple-gun spraying system
- multipoint lubrication system
- multipoint network control system
- multiprocessing system
- multiprocessor NC system
- multiprocessor system
- multiproduct manufacturing system
- multiprofile tool system
- multiprogramming system
- multirobot system
- multisensor system
- multiserver queueing system
- multistage system
- multitasking control system
- multiterminal system
- multiuser system
- multivendor information system
- multiwindowing software system
- Nagare system
- narrowly defined expert system
- national information system
- navigation system
- NC contouring system
- NC machine system
- NC part-programming system
- NC system
- NC tooling system
- NC/TP system
- nesting system
- network computer system
- network switching system
- network system
- noise diagnostic system
- noncircular copy-turning system
- noncompensated system
- noncontact laser marking system
- noncontact microwave system
- nonexpert system
- non-NC system
- numerical computer control system
- numerical contour control system
- numerical control system
- numerically controlled tool point system
- object-oriented system
- office system
- office-based programming system
- off-line adviser-type expert system
- off-line programming system
- off-line system
- off-the-shelf system
- oil mist system
- oil scavenge system
- oil system
- oil wash system
- oil-recirculating system
- oligarchical manufacturing system
- OLP system
- one man/one machine system
- one man-one operation-one job system
- one-machine flexible system
- one-piece tape spar-measuring system
- one-shot lubrication system
- on-line information system
- on-line process system
- on-line retrieval system
- on-line system
- on-line tool control system
- on-machine gaging system
- on-machine probing system
- on-off control system
- open architecture system
- open cooling system
- open system
- open-front system
- open-loop control system
- operating system
- operational system
- operator guidance system
- operator-controlled NC system
- optical detection system
- optical laser ranging system
- optical MAP system
- optical measurement/inspection system
- optical recognition system
- optical system for laser processing
- optical tracer backup system
- optical transmission system
- opti-feed system
- optimal-position control system
- order-driven system
- order-entry system
- order-picking system
- oscillating system
- oscillatory system
- out-feed system
- output collecting system
- overall system
- p.-t.-p. NC system
- package confinement system
- paging system
- pallet conveyor system
- pallet gripper system
- pallet ID system
- pallet storage system
- pallet storage/changer system
- pallet/platen transfer system
- pallet/robot flexible-machining system
- pallet-based materials handling system
- pallet-based system
- pallet-changer system
- pallet-coding system
- pallet-handling system
- palletized tool magazine system
- pallet-loading system
- pallet-moving system
- pallet-shuttle change system
- pallet-transfer system
- pallet-transport system
- paperless NC system
- parallel force system
- parallel lubrication system
- parametric CNC system
- part flow system
- part handling-and-storage system
- part program-editing system
- part queue system
- part-conveying system
- partial laser system
- part-programming system
- part-retrieval system
- passively mode-locked laser system
- path control system of a machine
- path control system
- pattern recognition system
- pattern tracing system
- pattern-directed system
- PC system
- PC-based CAD system
- PC-based vision system
- pendant-mounted CNC system
- perceptual system
- permanent electro system
- personal computer-based robotic vision system
- phase switching control system
- photogrammetric vision system
- photooptic tracing system
- photooptical tracing system
- piece rate system
- plane system of forces
- planner-oriented system
- plant-integration system
- platen system
- platform-independent CAM system
- playback system
- plugboard control system
- plugboard programming system
- point-to-point system
- popular laser system
- position control system
- positioning control system
- postprocess inspection system
- postprocess system
- postprocess-feedback gaging system
- potentiometer-setting system
- power generating system
- power system
- powered clamping system
- powered track system
- powerful robot system
- precision positioning system
- predictive machinability system
- predictive maintenance system
- pre-emptive system
- pregaging system
- preload system
- preset tooling system
- presetting system
- prismatic flexible manufacturing system
- prismatic machining system
- probe communication system
- problem-oriented information system
- process planning system
- process-flexible system
- production control system
- production expert system
- production-monitoring system
- productions system
- product-testing system
- programmable automation system
- programmable control system
- programmable logic control system
- programmable power monitoring system
- programmed sequence control system
- programming system
- proof-of-concept system
- proprietary NC system
- propulsion system
- propulsive system
- protection system
- prototype system
- prototyping system
- pull system of production
- pull system
- punch tape NC system
- purpose-made materials feeding system
- push system
- qualitative system
- quality control system
- quality system
- quantity produced systems
- question-and-answer system
- question-answering system
- queuing system
- quick-change system
- quick-change workpiece-fixturing system
- quick-change-cutter system
- rack system
- rack-picking system
- rail-borne robotic handling system
- rail-guided transport system
- random mission system
- random mix system
- random order system
- ranging system
- readout system
- ready-to-go system
- real-time vision system
- recirculation system
- rectangular coordinate system
- rectangular triordinate system
- reeving system
- reference retrieval system
- reference system
- reflecting high-power beam optical system
- register system
- registration system
- relay ladder logic system
- reporting system
- reprographic system
- resolver system
- restraint system
- RETIC system
- retrieval system
- retrofit system
- return spring system
- RGV pallet delivery system
- rigid track workpiece transport system
- rigid transfer system
- robot control system
- robot gantry storage-and-retrieval system
- robot learning system
- robot parts-handling system
- robot system
- robot teaching system
- robot tool changing system
- robot-based turning system
- robotic system
- robotic vision system
- robotics CAD system
- robotized metalforming system
- robot-like inspection system
- robot-measuring system
- rod memory system
- roller system
- roll-generating system
- rotary transfer system
- rotary-type tool-mounting system
- rotational system
- routing-flexible system
- rule-based expert system
- running fail-safe system
- running system
- run-time system
- safety actuation system
- safety system
- scale back system
- seam tracking laser processing system
- seam-tracking system
- security system
- selective assembly system
- selective control system
- self-adapting system
- self-contained starting system
- self-contained system
- self-monitoring measuring system
- self-optimizing adaptive control system
- self-programming NC system
- self-teaching system
- self-test system
- sensing system
- sensor system
- sensor-based system
- sensory control system
- sensory feedback system
- sensory interactive system
- sensory-processing system
- sentence recognition system
- sequencing control system
- sequential control system
- series lubrication system
- service system
- servo control system
- servo drive system
- servo positioning system
- servo transducer system
- servo-controlled blade-feed-pressure system
- setting system
- SFP system
- shaft system
- shared tools system
- shopfloor communication message system
- shopfloor part-programming system
- shopfloor programming system
- shopfloor-programming control system
- short-closed oil system
- shuttle car system
- shuttle system
- shuttle-type container system
- side-loading pallet system
- sign system
- signature-analysis system
- silhouetting system
- single system
- single-board computer system
- single-cell system
- single-line lubrication system
- single-point lubrication system
- single-stage system
- single-tube system
- single-unit machining system
- single-variable system
- sinking system
- six-station pallet system
- size-monitoring system
- skidless system
- skid-type system
- small knowledge system
- small scale system
- small-batch manufacturing system
- sociotechnical system
- software-based system
- software-operating system
- solid model CAD system
- solid modeling system
- solids-based system
- sonic digitizing system
- space-monitoring sensor system
- special-purpose CNC system
- special-purpose material handling system
- speech-understanding system
- spindle airblast system
- spindle-probe system
- splash lubrication system
- split-type of tooling system
- spray lubrication system
- sprocket-chain system
- stabilization system
- stabilizing system
- stacking system
- stand-alone system
- standard control system
- standard unit system
- starting system
- statistical process control system
- steady-state system
- stepping motor drive system
- stocker system
- stocking system
- stop-bolt locking system
- storage system
- storage-and-retrieval system
- storage-retrieval system
- straight cut control system
- straight-line control system
- stress calculations infinite element system
- structurally stable system
- structurally unstable system
- stub-tooth system
- subloop system
- supervision system
- supervisory computer control system
- supervisory control system
- surface-measurement system
- surveillance system
- suspension system
- swarf conveyance system
- swarf-management system
- swarf-removal system
- switching system
- synthetic vision system
- system of dimensioning
- system of forces
- system of limits and fits
- system of quantities
- system of the machine retaining devices
- system of units
- tactile sensing system
- tailored NC system
- tailor-made system
- tape-oriented system
- target system
- teach system
- teachable-logic control system
- teaching system
- teach-mode programming system
- technology-intensive system
- telecommunication system
- telemetry gage system
- telemetry system
- teleoperated system
- telepresence system
- telerobotic system
- ten-station pallet system
- term system
- test system
- testing system
- text organizing system
- thermal control system
- thermal enclosure system
- thermal propulsion system
- thread measurement system
- thread measuring system
- three-dimensional CAM system
- three-dimensional coordinate system
- three-wire thread measuring system
- through feed system
- through-the-tool system
- time control system
- time cycle system
- time-shared system
- time-sharing NC programming system
- time-sharing system
- tool animation system
- tool breakage prevention system
- tool change system
- tool condition monitoring system
- tool coolant system
- tool deflection calibration system
- tool identification tag system
- tool life control system
- tool life management system
- tool magazine exchanger system
- tool management system
- tool position-compensating system
- tool shank cleaning system
- tool storage and transport system
- tool storage/management system
- tool-associated system
- tool-clamp system
- tool-holder-work system
- tool-ID system
- tooling AGV system
- tooling system
- tool-in-hand system
- tool-in-use system
- tool-machine system
- tool-monitoring system
- tool-mounting system
- tool-presetting system
- tool-probing system
- tool-to-turret connection system
- tool-transfer system
- torque-monitoring system
- total system
- total-loss lubrication system
- touch-probe digitizer system
- touch-probe digitizing system
- touch-probe system
- towline cart system
- towline conveyor system
- towline handling system
- towline material handling system
- towline transfer system
- tracer control system
- tracing system
- track system
- tracking/scheduling system
- track-monitoring system
- transfer system
- translating system
- transmission system
- transporter system
- traverse-metering system
- tray-type transfer system
- triangulation system
- tribomechanical system
- tri-level stocker system
- triordinate system
- trolley control system
- trouble-free control system
- T-slot system
- tuned system
- turning system
- turning-and-chucking system
- turnkey computer control system
- turnkey system
- turret probing system
- turret tooling system
- two-line lubrication system
- two-machine system
- two-pallet exchange system
- two-shift system
- two-tier inspection system
- unattended machining system
- unattended production system
- uncertain system
- unified system
- unit bore system
- unit system
- unit-build system
- unit-load automated storage and retrieval system
- unit-load system
- UNIX-based 32-bit computer system
- unmonitored control system
- unstable system
- user identification system
- user's CAD system
- V coding system
- vacuum system
- variable pallet system
- variable-coefficient system
- variable-gain ACC system
- variable-mission system
- versatile data acquisition system
- vertical carousel system
- vertical rotating warehouse system
- vibration system
- vibratory system
- video measuring system
- video-based measurement system
- viewing system
- virtual design system
- virtual storage system
- vision guidance system
- vision metrology system
- vision optical system
- vision sensor system
- vision system
- vision tool-presetting system
- vision-based inspection system
- vision-based system
- visual computing system
- visual inspection system
- VME-based system
- voice data entry system
- voice system
- voice-input system
- volume-flexible system
- volume-metric lubrication system
- voluntary standards system
- warehousing system
- warning protection system
- warning system
- wash system
- waste material treatment system
- watchdog system
- waterjet system
- way-lubrication system
- wedge-locked tool clamping system
- wheelhead-measuring system
- windowing system
- wire-cut system
- wire-frame CAD system
- wire-guided transport system
- wire-guided trolley routing system
- word recognition system
- work infeed system
- work transfer system
- work transport system
- workhandling system
- work-holding system
- workpiece-cleaning system
- workstation-oriented CNC system
- zero error position system

English-Russian dictionary of mechanical engineering and automation > system
6 Creativity

   1) All Human Complex Problem Solving Is Creativity

   Put in this bald way, these aims sound utopian. How utopian they areor rather, how imminent their realization-depends on how broadly or narrowly we interpret the term "creative." If we are willing to regard all human complex problem solving as creative, then-as we will point out-successful programs for problem solving mechanisms that simulate human problem solvers already exist, and a number of their general characteristics are known. If we reserve the term "creative" for activities like discovery of the special theory of relativity or the composition of Beethoven's Seventh Symphony, then no example of a creative mechanism exists at the present time. (Simon, 1979, pp. 144-145)

   2) Artificial Intelligence Models of Creative Association

   Among the questions that can now be given preliminary answers in computational terms are the following: how can ideas from very different sources be spontaneously thought of together? how can two ideas be merged to produce a new structure, which shows the inﬂuence of both ancestor ideas without being a mere "cut-and-paste" combination? how can the mind be "primed," so that one will more easily notice serendipitous ideas? why may someone notice-and remember-something fairly uninteresting, if it occurs in an interesting context? how can a brief phrase conjure up an entire melody from memory? and how can we accept two ideas as similar ("love" and "prove" as rhyming, for instance) in respect of a feature not identical in both? The features of connectionist AI models that suggest answers to these questions are their powers of pattern completion, graceful degradation, sensitization, multiple constraint satisfaction, and "best-fit" equilibration.... Here, the important point is that the unconscious, "insightful," associative aspects of creativity can be explained-in outline, at least-by AI methods. (Boden, 1996, p. 273)

   3) Creative Innovation and Social Independence

   There thus appears to be an underlying similarity in the process involved in creative innovation and social independence, with common traits and postures required for expression of both behaviors. The difference is one of product-literary, musical, artistic, theoretical products on the one hand, opinions on the other-rather than one of process. In both instances the individual must believe that his perceptions are meaningful and valid and be willing to rely upon his own interpretations. He must trust himself sufficiently that even when persons express opinions counter to his own he can proceed on the basis of his own perceptions and convictions. (Coopersmith, 1967, p. 58)

   4) Ego Strength and Emotional Stability among Creative Geniuses

   he average level of ego strength and emotional stability is noticeably higher among creative geniuses than among the general population, though it is possibly lower than among men of comparable intelligence and education who go into administrative and similar positions. High anxiety and excitability appear common (e.g. Priestley, Darwin, Kepler) but full-blown neurosis is quite rare. (Cattell & Butcher, 1970, p. 315)

   5) Its Mundane Character

   he insight that is supposed to be required for such work as discovery turns out to be synonymous with the familiar process of recognition; and other terms commonly used in the discussion of creative work-such terms as "judgment," "creativity," or even "genius"-appear to be wholly dispensable or to be definable, as insight is, in terms of mundane and well-understood concepts. (Simon, 1989, p. 376)

   6) Mozart's Musical Ideas Came to Him in Polished Form

   From the sketch material still in existence, from the condition of the fragments, and from the autographs themselves we can draw definite conclusions about Mozart's creative process. To invent musical ideas he did not need any stimulation; they came to his mind "ready-made" and in polished form. In contrast to Beethoven, who made numerous attempts at shaping his musical ideas until he found the definitive formulation of a theme, Mozart's first inspiration has the stamp of finality. Any Mozart theme has completeness and unity; as a phenomenon it is a Gestalt. (Herzmann, 1964, p. 28)

   7) Scientific Theories and Works of Art Alike Originate in Fantasy

   Great artists enlarge the limits of one's perception. Looking at the world through the eyes of Rembrandt or Tolstoy makes one able to perceive aspects of truth about the world which one could not have achieved without their aid. Freud believed that science was adaptive because it facilitated mastery of the external world; but was it not the case that many scientific theories, like works of art, also originated in phantasy? Certainly, reading accounts of scientific discovery by men of the calibre of Einstein compelled me to conclude that phantasy was not merely escapist, but a way of reaching new insights concerning the nature of reality. Scientific hypotheses require proof; works of art do not. Both are concerned with creating order, with making sense out of the world and our experience of it. (Storr, 1993, p. xii)

   8) Self- Esteem and Creative Expression

   The importance of self-esteem for creative expression appears to be almost beyond disproof. Without a high regard for himself the individual who is working in the frontiers of his field cannot trust himself to discriminate between the trivial and the significant. Without trust in his own powers the person seeking improved solutions or alternative theories has no basis for distinguishing the significant and profound innovation from the one that is merely different.... An essential component of the creative process, whether it be analysis, synthesis, or the development of a new perspective or more comprehensive theory, is the conviction that one's judgment in interpreting the events is to be trusted. (Coopersmith, 1967, p. 59)

   9) Stages in Creative Problem- Solving

   In the daily stream of thought these four different stages [preparation; incubation; illumination or inspiration; and verification] constantly overlap each other as we explore different problems. An economist reading a Blue Book, a physiologist watching an experiment, or a business man going through his morning's letters, may at the same time be "incubating" on a problem which he proposed to himself a few days ago, be accumulating knowledge in "preparation" for a second problem, and be "verifying" his conclusions to a third problem. Even in exploring the same problem, the mind may be unconsciously incubating on one aspect of it, while it is consciously employed in preparing for or verifying another aspect. (Wallas, 1926, p. 81)

    10) The Bisociative Pattern of the Creative Synthesis

   he basic, bisociative pattern of the creative synthesis [is] the sudden interlocking of two previously unrelated skills, or matrices of thought. (Koestler, 1964, p. 121)

    11) The Earliest Stages in the Creative Process Involve a Commerce with Disorder

   Even to the creator himself, the earliest effort may seem to involve a commerce with disorder. For the creative order, which is an extension of life, is not an elaboration of the established, but a movement beyond the established, or at least a reorganization of it and often of elements not included in it. The first need is therefore to transcend the old order. Before any new order can be defined, the absolute power of the established, the hold upon us of what we know and are, must be broken. New life comes always from outside our world, as we commonly conceive that world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." (Ghiselin, 1985, p. 4)

    12) The Inner Life of the Creative Process

   New life comes always from outside our world, as we commonly conceive our world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." Chaos and disorder are perhaps the wrong terms for that indeterminate fullness and activity of the inner life. For it is organic, dynamic, full of tension and tendency. What is absent from it, except in the decisive act of creation, is determination, fixity, and commitment to one resolution or another of the whole complex of its tensions. (Ghiselin, 1952, p. 13)

    13) The Problem of What Impels the Creative Person

   [P]sychoanalysts have principally been concerned with the content of creative products, and with explaining content in terms of the artist's infantile past. They have paid less attention to examining why the artist chooses his particular activity to express, abreact or sublimate his emotions. In short, they have not made much distinction between art and neurosis; and, since the former is one of the blessings of mankind, whereas the latter is one of the curses, it seems a pity that they should not be better differentiated....

   Psychoanalysis, being fundamentally concerned with drive and motive, might have been expected to throw more light upon what impels the creative person that in fact it has. (Storr, 1993, pp. xvii, 3)

    14) Theories of Creative Thinking

   A number of theoretical approaches were considered. Associative theory, as developed by Mednick (1962), gained some empirical support from the apparent validity of the Remote Associates Test, which was constructed on the basis of the theory.... Koestler's (1964) bisociative theory allows more complexity to mental organization than Mednick's associative theory, and postulates "associative contexts" or "frames of reference." He proposed that normal, non-creative, thought proceeds within particular contexts or frames and that the creative act involves linking together previously unconnected frames.... Simonton (1988) has developed associative notions further and explored the mathematical consequences of chance permutation of ideas....

   Like Koestler, Gruber (1980; Gruber and Davis, 1988) has based his analysis on case studies. He has focused especially on Darwin's development of the theory of evolution. Using piagetian notions, such as assimilation and accommodation, Gruber shows how Darwin's system of ideas changed very slowly over a period of many years. "Moments of insight," in Gruber's analysis, were the culminations of slow long-term processes.... Finally, the information-processing approach, as represented by Simon (1966) and Langley et al. (1987), was considered.... [Simon] points out the importance of good problem representations, both to ensure search is in an appropriate problem space and to aid in developing heuristic evaluations of possible research directions.... The work of Langley et al. (1987) demonstrates how such search processes, realized in computer programs, can indeed discover many basic laws of science from tables of raw data.... Boden (1990a, 1994) has stressed the importance of restructuring the problem space in creative work to develop new genres and paradigms in the arts and sciences. (Gilhooly, 1996, pp. 243-244; emphasis in original)

Historical dictionary of quotations in cognitive science > Creativity
7 BIOS

['baios] n. shkurtesë nga b asic i nput o utput s ystem ( BIOS) sistemi themelor për hyrje-dalje ( informatikë)

What is BIOS?

BIOS is an acronym for Basic Input/Output System. It is the boot firmware program on a PC, and controls the computer from the time you start it up until the operating system takes over. When you turn on a PC, the BIOS first conducts a basic hardware check, called a Power-On Self Test (POST), to determine whether all of the attachments are present and working. Then it loads the operating system into your computer's random access memory, or RAM.

The BIOS also manages data flow between the computer's operating system and attached devices such as the hard disk, video card, keyboard, mouse, and printer.

The BIOS stores the date, the time, and your system configuration information in a battery-powered, non-volatile memory chip, called a CMOS (Complementary Metal Oxide Semiconductor) after its manufacturing process.

Although the BIOS is standardized and should rarely require updating, some older BIOS chips may not accommodate new hardware devices. Before the early 1990s, you couldn't update the BIOS without removing and replacing its ROM chip. Contemporary BIOS resides on memory chips such as flash chips or EEPROM (Electrically Erasable Programmable Read-Only Memory), so that you can update the BIOS yourself if necessary.

For detailed information about BIOS updates, visit:

What is firmware?

Firmware consists of programs installed semi-permanently into memory, using various types of programmable ROM chips, such as PROMS, EPROMs, EEPROMs, and flash chips.

Firmware is non-volatile, and will remain in memory after you turn the system off.

Often, the term firmware is used to refer specifically to boot firmware, which controls a computer from the time that it is turned on until the primary operating system has taken over. Boot firmware's main function is to initialize the hardware and then to boot (load and execute) the primary operating system. On PCs, the boot firmware is usually referred to as the BIOS.

What is the difference between memory and disk storage?

Memory and disk storage both refer to internal storage space in a computer.

The term memory usually means RAM (Random Access Memory). To refer to hard drive storage, the terms disk space or storage are usually used.

Typically, computers have much less memory than disk space, because RAM is much more expensive per megabyte than a hard disk. Today, a typical desktop computer might come with 512MB of RAM, and a 40 gigabyte hard disk.

Virtual memory is disk space that has been designated to act like RAM.

Computers also contain a small amount of ROM, or read-only memory, containing permanent or semi-permanent (firmware) instructions for checking hardware and starting up the computer. On a PC, this is called the BIOS.

What is RAM?

RAM stands for Random Access Memory. RAM provides space for your computer to read and write data to be accessed by the CPU (central processing unit). When people refer to a computer's memory, they usually mean its RAM.

New computers typically come with at least 256 megabytes (MB) of RAM installed, and can be upgraded to 512MB or even a gigabyte or more.

If you add more RAM to your computer, you reduce the number of times your CPU must read data from your hard disk. This usually allows your computer to work considerably faster, as RAM is many times faster than a hard disk.

RAM is volatile, so data stored in RAM stays there only as long as your computer is running. As soon as you turn the computer off, the data stored in RAM disappears.

When you turn your computer on again, your computer's boot firmware (called BIOS on a PC) uses instructions stored semi-permanently in ROM chips to read your operating system and related files from the disk and load them back into RAM.

Note: On a PC, different parts of RAM may be more or less easily accessible to programs. For example, cache RAM is made up of very high-speed RAM chips which sit between the CPU and main RAM, storing (i.e., caching) memory accesses by the CPU. Cache RAM helps to alleviate the gap between the speed of a CPU's megahertz rating and the ability of RAM to respond and deliver data. It reduces how often the CPU must wait for data from main memory.

What is ROM?

ROM is an acronym for Read-Only Memory. It refers to computer memory chips containing permanent or semi-permanent data. Unlike RAM, ROM is non-volatile; even after you turn off your computer, the contents of ROM will remain.

Almost every computer comes with a small amount of ROM containing the boot firmware. This consists of a few kilobytes of code that tell the computer what to do when it starts up, e.g., running hardware diagnostics and loading the operating system into RAM. On a PC, the boot firmware is called the BIOS.

Originally, ROM was actually read-only. To update the programs in ROM, you had to remove and physically replace your ROM chips. Contemporary versions of ROM allow some limited rewriting, so you can usually upgrade firmware such as the BIOS by using installation software. Rewritable ROM chips include PROMs (programmable read-only memory), EPROMs (erasable read-only memory), EEPROMs (electrically erasable programmable read-only memory), and a common variation of EEPROMs called flash memory.

What is an ACPI BIOS?

ACPI is an acronym that stands for Advanced Configuration and Power Interface, a power management specification developed by Intel, Microsoft, and Toshiba. ACPI support is built into Windows 98 and later operating systems. ACPI is designed to allow the operating system to control the amount of power provided to each device or peripheral attached to the computer system. This provides much more stable and efficient power management and makes it possible for the operating system to turn off selected devices, such as a monitor or CD-ROM drive, when they are not in use.

ACPI should help eliminate computer lockup on entering power saving or sleep mode. This will allow for improved power management, especially in portable computer systems where reducing power consumption is critical for extending battery life. ACPI also allows for the computer to be turned on and off by external devices, so that the touch of a mouse or the press of a key will "wake up" the computer. This new feature of ACPI, called OnNow, allows a computer to enter a sleep mode that uses very little power.

In addition to providing power management, ACPI also evolves the existing Plug and Play BIOS (PnP BIOS) to make adding and configuring new hardware devices easier. This includes support for legacy non-PnP devices and improved support for combining older devices with ACPI hardware, allowing both to work in a more efficient manner in the same computer system. The end result of this is to make the BIOS more PnP compatible.

What is CMOS?

CMOS, short for Complementary Metal Oxide Semiconductor, is a low-power, low-heat semiconductor technology used in contemporary microchips, especially useful for battery-powered devices. The specific technology is explained in detail at:

http://searchsmb.techtarget.com/sDefinition/0,,sid44_gci213860,00.html

Most commonly, though, the term CMOS is used to refer to small battery-powered configuration chips on system boards of personal computers, where the BIOS stores the date, the time, and system configuration details.

How do I enter the Setup program in my BIOS?

Warning: Your BIOS Setup program is very powerful. An incorrect setting could cause your computer not to boot properly. You should make sure you understand what a setting does before you change it.

You can usually run Setup by pressing a special function key or key combination soon after turning on the computer, during its power-on self test (POST), before the operating system loads (or before the operating system's splash screen shows). During POST, the BIOS usually displays a prompt such as:

Press F2 to enter Setup

Many newer computers display a brief screen, usually black and white, with the computer manufacturer's logo during POST.

Entering the designated keystroke will take you into the BIOS Setup. Common keystrokes to enter the BIOS Setup are F1, F2, F10, and Del.

On some computers, such as some Gateway or Compaq computers, graphics appear during the POST, and the BIOS information is hidden. You must press Esc to make these graphics disappear. Your monitor will then display the correct keystroke to enter.

Note: If you press the key too early or too often, the BIOS may display an error message. To avoid this, wait about five seconds after turning the power on, and then press the key once or twice.

What's the difference between BIOS and CMOS?

Many people use the terms BIOS (basic input/output system) and CMOS (complementary metal oxide semiconductor) to refer to the same thing. Though they are related, they are distinct and separate components of a computer. The BIOS is the program that starts a computer up, and the CMOS is where the BIOS stores the date, time, and system configuration details it needs to start the computer.

The BIOS is a small program that controls the computer from the time it powers on until the time the operating system takes over. The BIOS is firmware, which means it cannot store variable data.

CMOS is a type of memory technology, but most people use the term to refer to the chip that stores variable data for startup. A computer's BIOS will initialize and control components like the floppy and hard drive controllers and the computer's hardware clock, but the specific parameters for startup and initializing components are stored in the CMOS.

English-Albanian dictionary > BIOS
8 control

kənˈtrəul
1. сущ.
1) а) надзор, сдерживание, контроль;
регулирование;
контроль, проверка She was in full control of the situation. ≈ Она полностью контролировала ситуацию. The fire was finally brought under control. ≈ Огонь наконец-то удалось погасить. The area was placed under the control of the military. ≈ Территория была передана под контроль армии. - birth control - social control - absolute control - close control - strict control - government control - parental control - communicable-disease control - emissions control - flood control - pest control - quality control - stress control - wage control exercise control exert control pass under the control of smb. cost control flight control control panel control rod price control control tower without control - out of control be in control Everything under control. ≈ Все путем, все как надо, все в порядке. б) самообладание, сдержанность в) спорт в автогонках: зона трассы, где ограничена скорость, напр. пит-лейн г) спорт в автогонках: место, где производятся контрольные замеры параметров машины, напр., высота, клиренс и т.п. д) лицо, осуществляющее надзор, контроль е) в спиритизме: дух, прямо связанный с медиумом и контролирующий его поведение и слова в течение транса ∙ Syn: restraint, check, restriction
2) руководство, управление, контроль;
власть She lost control of the car. ≈ Она потеряла управление машиной, она не справилась с управлением. assume control of take control of
3) техническое регулирование а) регулировка, настройка( напр., радиоприемника), подгонка б) радио модуляция в) мн.;
тех. органы управления( кнопки, ручки, рычаги и т.п.) ;
ручки настройки радиоприемника remote control control stick
4) мед. контрольный пациент( в эксперименте) ;
биол. контрольное подопытное животное
2. гл.
1) распоряжаться, управлять, руководить, господствовать, подчинять, приказывать, командовать;
иметь большинство( в совете директоров и т.п..) ;
осуществлять власть (любого рода) Henceforth I obey and you control. ≈ Отныне я подчиняюсь, а ты командуешь;
отныне ты начальник, я дурак. Syn: administer, direct, govern, manage, regulate, rule, supervise
2) осуществлять надзор, контроль а) регулировать, контролировать, проверять Anyone who wishes to control my statements will have no difficulty in doing so. ≈ Любой, кто захочет проверить истинность моих утверждений не столкнется ни с малейшими трудностями. Syn: verify б) тех. настраивать (обычно set up) в) сдерживать (что бы то ни было) The superabundance of life is controlled by the law of mutual destruction. ≈ Беспредельный рост числа живых существ сдерживается действием закона взаимного уничтожения. Difficulty in controlling his temper. ≈ Трудности в сдерживании себя. control oneself Syn: curb, hinder г) юр. отменять( о словах: предыдущие заявления, показания) ;
отклонять Syn: overrule ∙ Syn: check управление, руководство - the teacher has good * over his class учитель держит класс в руках;
- under government * контролируемый правительством;
- circumstances beyond our * не зависящие от нас обстоятельства;
- to get beyond * выйти из-под влияния;
- to bring under * подчинить своему влиянию, контролировать (политика) контроль, власть;
обладание - islands under British * острова, управляемые Великобританией;
- to exercise * over smth. осуществлять контроль над чем-л.;
владеть чем-л.;
- to be in * smth. управлять чем-л.;
- to be in the * of smb. быть в чьей-л. власти;
- he was in the * of crimilans он оказался в руках преступников контроль, проверка;
надзор - selective * выборочный контроль;
- to be under * быть под надзором контрольный экземпляр, препарат;
контрольная группа регулировка, управление - traffic * регулирование уличного движения;
- birth * регулирование рождаемости;
- * of fire (военное) управление огнем;
- remote * управление на расстоянии;
телеуправление, дистанционное управление;
- to lose * of a motor-car потерять управление автомобилем;
- to go out of * (авиация) (морское) потерять управление;
перестать слушаться руля регулирование;
ограничение - rent * регулирование кввартирной или арендной платы;
- wage-price * контроль над ценами и заработной платой;
- arms * контроль над вооружениями, ограничение вооружения борьба( с отрицательными явлениями) - * of epidemics борьба с эпидемическими заболеваниями;
- noise * борьба с шумом;
- locust * борьба с саранчой сдержанность, самообладание - don't lose * of your temper не теряйте самообладания;
- to speak without * говорить не стесняясь;
- to keep one's feelings under * сдерживать свои чувства, владеть собой;
- to regain * of oneself овладеть собой pl (техническое) органы управления (топография) сеть опорных пунктов пробный удар (фехтование) (радиотехника) регулировка, модуляция "хозяин", дух, который вещает устами медиума "хозяин", шеф, руководящий деятельностью агента, шпиона контрольный - * experiment контрольный опыт;
- * organization контрольная организация относящийся к управлению - * room диспетчерская, аппаратная;
пункт управления - * station( военное) пост управления;
- * board( техническое) приборный щиток, панель или пульт управления;
- * flight( авиация) управляемый полет;
- * airport( военное) аэродром с регулируемым воздушным движением;
- * surface( авиация) плоскость управления;
- * whell( авиация) штурвал;
- * level( авиация) рычаг управления;
- * bit (компьютерное) управляющий разряд;
служебный разряд;
- * block управляющий блок управлять, руководить - he knows how to * his horse он умеет управлять лошадью;
- to * fire (военное) управлять огнем;
- to * the ball (спортивное) держать мяч под контролем контролировать, владеть - who *s these islands? кому принадлежат эти острова? контролировать, проверять - to * expenditure проверять расходы регулировать, контролировать;
ограничивать - to * prices регулировать цены( радиотехника) настраивать сдерживать - to * emotions сдерживать чувства;
- to * oneself сдерживаться, сохранять самообладание делать пробный удар (фехтование) access ~ контроль доступа access ~ вчт. контроль за доступом accuracy ~ вчт. контроль правильности adaptive ~ вчт. адаптивное управление anticipatory ~ вчт. управление с прогнозированием appropriation ~ контроль за ассигнованиями arms ~ контроль над вооружениями assessment ~ контроль налогообложения to be beyond( или out of) ~ выйти из подчинения social ~ общественный контроль;
to be in control, to have control over управлять, контролировать ~ надзор;
сдерживание;
контроль, проверка;
регулирование;
birth control регулирование рождаемости birth ~ контроль за рождаемостью birth ~ регулирование рождаемости border ~ пограничный контроль brightness ~ вчт. регулирование яркости изображения brightness ~ вчт. регулировка яркости to bring under ~ подчинить;
to pass under the control (of smb.) перейти в (чье-л.) ведение budgetary ~ контроль исполнения сметы budgetary ~ контроль методом сличения со сметой budgetary ~ сметный метод контроля built-in ~ вчт. встроенный контроль carriage ~ вчт. управление кареткой cascade ~ вчт. каскадное управление channel ~ вчт. управление каналом circumstances outside one's ~ обстоятельства непреодолимой силы communications ~ вчт. управление передачей concurrency ~ вчт. контроль совпадений concurrency ~ вчт. управление параллелизмом concurrent-operations ~ вчт. управление параллельной работой continuous ~ вчт. непрерывное управление contrast ~ вчт. регулировка контраста contrast ~ регулятор контраста control борьба с отрицательными явлениями ~ владеть ~ власть ~ государственное регулирование ~ контролировать ~ контроль ~ контрольный ~ контрольный орган ~ контрольный пациент (в эксперименте) ;
контрольное подопытное животное ~ радио модуляция ~ надзор;
сдерживание;
контроль, проверка;
регулирование;
birth control регулирование рождаемости ~ надзор ~ тех. настраивать ~ обусловливать;
нормировать (потребление) ~ ограничение ~ проверка ~ проверять ~ распоряжаться ~ регулировать;
контролировать;
проверять ~ регулировать ~ регулировка ~ регулировка ~ руководить;
господствовать;
заправлять;
иметь большинство (в парламенте и т. п.) ~ руководить ~ руководство ~ (обыкн. pl) радио ручки настройки радиоприемника ~ pl тех. рычаги управления ~ сдержанность, самообладание ~ сдержанность ~ сдерживать (чувства, слезы) ;
to control oneself сдерживаться, сохранять самообладание ~ сдерживать ~ управление, руководство ~ вчт. управление ~ управление ~ управлять, распоряжаться ~ вчт. управлять ~ управлять ~ attr. контрольный;
control experiment контрольный опыт ~ attr. контрольный;
control experiment контрольный опыт experiment: control ~ контрольный эксперимент ~ of access контроль доступа ~ of epidemics борьба с эпидемическими заболеваниями ~ of foreign exchange transactions контроль валютных операций ~ of line limits страх. контроль по максимуму ~ of overdrafts контроль превышения кредита ~ of posting контроль бухгалтерских проводок ~ сдерживать (чувства, слезы) ;
to control oneself сдерживаться, сохранять самообладание coordinated ~ вчт. согласованное регулирование cost ~ контроль за уровнем затрат credit ~ кредитная политика credit ~ кредитный контроль cursor ~ вчт. управление курсором customs ~ таможенный контроль damage ~ ремонтно-восстановительные работы dash ~ вчт. кнопочное управление data coherency ~ вчт. обеспечение непротиворечивости данных data ~ вчт. управление данными data flow ~ вчт. управление потоками данных data-initiated ~ вчт. управление с внешним запуском derivative ~ вчт. регулирование производной digital ~ вчт. цифровое управление direct ~ прямое регулирование direct ~ прямое управление discontinuous ~ вчт. прерывистое регулирование distribution ~ вчт. управление распространением economic ~ экономический контроль encoded ~ вчт. кодовое управление end-to-end-flow ~ вчт. сквозное управление потоком error ~ вчт. устранение ошибок exchange ~ валютный контроль, валютное регулирование exchange ~ валютный контроль exclusive ~ вчт. монопольное управление export ~ контроль за экспортом exposure ~ контроль риска потенциальных убытков feed ~ вчт. управление подачей feedback ~ вчт. управление с обратной связью feedforward ~ вчт. регулирование по возмущению financial ~ финансовый контроль finger-tip ~ вчт. сенсорное управление floating ~ вчт. астатическое регулирование flow ~ вчт. управление потоками flow ~ вчт. управление потоком данных format ~ вчт. управление форматом get under ~ попадать под влияние get under ~ попадать под контроль government ~ государственное регулирование government ~ государственный контроль government ~ правительственный контроль graphic attention ~ контроль с помощью мнемосхемы ground ~ радио наземное управление, управление с земли social ~ общественный контроль;
to be in control, to have control over управлять, контролировать hazard ~ контроль степени риска home country ~ контроль внутри страны housing ~ контроль за жилищным строительством import ~ контроль импорта independent ~ вчт. автономное управление industrial ~ производственный контроль industrial ~ вчт. управление произвольным процессом inferential ~ вчт. косвенное регулирование input/output ~ вчт. управление вводом-выводов interacting ~ вчт. связанное регулирование interactive ~ вчт. управление в интерактивном режиме intermittent ~ вчт. прерывистое регулирование interrupt ~ вчт. контроль прерываний inventory ~ управление запасами keyboard ~ вчт. клавишное управление legality ~ контроль за законностью light pen ~ вчт. управление световым пером link ~ вчт. управление каналом связи main ~ вчт. основное управляющее воздействие manual ~ вчт. ручное управление marketing ~ регулирование сбыта marketing ~ управление маркетингом master ~ вчт. организующая программа materiel ~ склад. управление материально-техническим обеспечением medium-access ~ вчт. управление доступом к среде передачи данных memory ~ вчт. управление памятью micropramming ~ вчт. микропрограммное управление multicircuit ~ вчт. многоконтактная схема управления multipath ~ вчт. многоканальное управление multivariable ~ вчт. многосвязное регулирование nonlinear ~ вчт. нелинейное регулирование numeric ~ цифровое управление off-line ~ вчт. автономное управление on-off ~ вчт. двухпозиционное регулирование operation ~ управление хозяйственной деятельностью optimizing ~ вчт. экстремальное регулирование to bring under ~ подчинить;
to pass under the control (of smb.) перейти в (чье-л.) ведение passport ~ паспортный контроль pen ~ вчт. управление световым пером physical ~ физическая проверка pollution ~ борьба с загрязнением pollution ~ контроль за загрязнениями portfolio ~ контроль портфеля активов prevention and ~ профилактика и контроль price ~ действия правительства по контролю над ценами price ~ контроль цен price ~ котроллирование цен (путем установления потолка цен на некоторые продукты) price ~ регулирование цен priority ~ вчт. приоритетное управление process ~ управление производственным процессом process ~ вчт. управление техническим процессом production ~ диспетчеризация production ~ контроль производства production ~ регулирование производства production ~ управление производственным процессом production yield ~ вчт. контроль выхода programmed ~ вчт. программное управление project ~ управление проектом proportional ~ вчт. линейное регулирование pulse ~ вчт. импульсное управление push-button ~ вчт. кнопочное управление quality ~ контроль качества quality ~ (QC) произ. проверка качества;
контроль качества;
управление качеством;
регулирование качества rate ~ вчт. регулирование скоростью ratio ~ вчт. регулирование соотношения read ~ вчт. управление считыванием remote ~ дистанционное регулирование remote ~ дистанционное управление remote: ~ тех. дистанционный;
действующий на расстоянии;
remote control дистанционное управление, телеуправление rent ~ регулирование арендной платы rent ~ регулирование квартирной платы retarted ~ вчт. регулирование с запаздыванием risk ~ контроль риска selective credit ~ селективный кредитный контроль self-acting ~ вчт. саморегулирование self-operated ~ вчт. прямое управление sensitivity ~ вчт. регулирование чувствительности separate ~ надзор за выполнением соглашения о раздельном жительстве супругов sequential ~ последовательный контроль servo ~ вчт. следящее управление shared ~ вчт. совместное управление sight ~ вчт. визуальный контроль sign ~ вчт. контроль по знаку single-level ~ вчт. одноуровневое управление single-loop ~ вчт. одноконтурное регулирование slide ~ вчт. плавное регулирование social ~ общественный контроль;
to be in control, to have control over управлять, контролировать split-cycle ~ вчт. быстрое регулирование step ~ вчт. ступенчатое регулирование step-by-step ~ вчт. шаговое регулирование stepless ~ вчт. непрерывное регулирование stock ~ вчт. контроль уровня запасов storage ~ comp. блок управления памятью storage ~ контроль уровня запасов storage ~ comp. управление памятью storage ~ comp. устройство управления памятью strict cost ~ жесткий контроль затрат supervisory ~ административно-технический надзор supervisory ~ вчт. диспетчерский контроль supervisory ~ диспетчерский контроль supervisory ~ оперативное руководство task ~ вчт. управление заданиями tax ~ налоговый контроль technical ~ технический контроль time-variable ~ вчт. регулирование во времени traffic ~ регулирование движения traffic ~ вчт. регулирование трафика transfer ~ вчт. управление передачей upsetting ~ вчт. задающее воздействие version ~ вчт. управление версиями write ~ вчт. управление записью

Большой англо-русский и русско-английский словарь > control
9 Artificial Intelligence

   1) Programs and the Complexity of Human Mental Processes

   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)

   2) Artificial Intelligence Is an Engineering Discipline

   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)

   3) A Sceptical View of Artificial Intelligence

   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, Eventually

   Just 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 Program

   Many 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)

   6) The Meaning of a Symbolic Description

   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)

   7) The Principle of Artificial Intelligence

   [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)

   8) Artificial Intelligence Recognizes the Need for Knowledge in Its Systems

   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 Form

   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. 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)

    10) There Are Many Types of Reasoning

   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)

    11) Programs Are Beginning to Do Things That Critics Have Asserted to Be Impossible

   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)

    12) The Synthesis of Man and Machine

   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)

    13) The Thesis of Good Old-Fashioned Artificial Intelligence (GOFAI)

   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 Formation

   It 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)

    15) Four Kinds of Artificial Intelligence

   We might distinguish among four kinds of AI.

   ♦ Nonpsychological 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.

   ♦ Weak Psychological AI

   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.

   ♦ Strong Psychological AI

... 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)

   ♦ Suprapsychological AI

   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 Contexts

   Even 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)

    17) Form and Content Are Not Fundamentally Different

   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)

    18) The Assumption That the Mind Is a Formal System

   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 Intelligence

   The 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)

    20) Mathematical Logic Provides the Basis for Theory in AI

   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 Propositions

   In 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)

    22) Definitions of Artificial Intelligence

   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)

    23) The Computer Can Not Be a Model of the Mind

   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)

    24) Computers Will Not Always Be Inferior to Human Brains

   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
10 Mind

   1) To Know the Different Operations of the 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)

   2) The Mind Is Furnished by Experience

   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)

   3) Mythical Thought Is as Rigorous as That of Modern Science

   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)

   4) The Mind Has Nothing But Itself to Know Itself

   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)

   5) To Know Is to Represent Accurately

   [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)

   6) The Question of Mind in Relation to Machine

   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 Analyses

   Recent 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)

   8) Approaches to the Study of the Mind

   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
11 Grammar

   1) Grammar as Analogous to a Scientific Theory

   I think that the failure to offer a precise account of the notion "grammar" is not just a superficial defect in linguistic theory that can be remedied by adding one more definition. It seems to me that until this notion is clarified, no part of linguistic theory can achieve anything like a satisfactory development.... I have been discussing a grammar of a particular language here as analogous to a particular scientific theory, dealing with its subject matter (the set of sentences of this language) much as embryology or physics deals with its subject matter. (Chomsky, 1964, p. 213)

   2) Native Speakers and Their Grammar

   Obviously, every speaker of a language has mastered and internalized a generative grammar that expresses his knowledge of his language. This is not to say that he is aware of the rules of grammar or even that he can become aware of them, or that his statements about his intuitive knowledge of his language are necessarily accurate. (Chomsky, 1965, p. 8)

   3) The Reduction of Transformation Rules In a Science of Grammar

   Much effort has been devoted to showing that the class of possible transformations can be substantially reduced without loss of descriptive power through the discovery of quite general conditions that all such rules and the representations they operate on and form must meet.... [The] transformational rules, at least for a substantial core grammar, can be reduced to the single rule, "Move alpha" (that is, "move any category anywhere"). (Mehler, Walker & Garrett, 1982, p. 21)

   4) The Relationship of Transformational Grammar to Semantics and to Human Performance

   he implications of assuming a semantic memory for what we might call "generative psycholinguistics" are: that dichotomous judgments of semantic well-formedness versus anomaly are not essential or inherent to language performance; that the transformational component of a grammar is the part most relevant to performance models; that a generative grammar's role should be viewed as restricted to language production, whereas sentence understanding should be treated as a problem of extracting a cognitive representation of a text's message; that until some theoretical notion of cognitive representation is incorporated into linguistic conceptions, they are unlikely to provide either powerful language-processing programs or psychologically relevant theories.

   Although these implications conﬂict with the way others have viewed the relationship of transformational grammars to semantics and to human performance, they do not eliminate the importance of such grammars to psychologists, an importance stressed in, and indeed largely created by, the work of Chomsky. It is precisely because of a growing interdependence between such linguistic theory and psychological performance models that their relationship needs to be clarified. (Quillian, 1968, p. 260)

   5) The Terminologies of Formal Grammar

   here are some terminological distinctions that are crucial to explain, or else confusions can easily arise. In the formal study of grammar, a language is defined as a set of sentences, possibly infinite, where each sentence is a string of symbols or words. One can think of each sentence as having several representations linked together: one for its sound pattern, one for its meaning, one for the string of words constituting it, possibly others for other data structures such as the "surface structure" and "deep structure" that are held to mediate the mapping between sound and meaning. Because no finite system can store an infinite number of sentences, and because humans in particular are clearly not pullstring dolls that emit sentences from a finite stored list, one must explain human language abilities by imputing to them a grammar, which in the technical sense is a finite rule system, or programme, or circuit design, capable of generating and recognizing the sentences of a particular language. This "mental grammar" or "psychogrammar" is the neural system that allows us to speak and understand the possible word sequences of our native tongue. A grammar for a specific language is obviously acquired by a human during childhood, but there must be neural circuitry that actually carries out the acquisition process in the child, and this circuitry may be called the language faculty or language acquisition device. An important part of the language faculty is universal grammar, an implementation of a set of principles or constraints that govern the possible form of any human grammar. (Pinker, 1996, p. 263)

   6) The Theory of Grammar

   A grammar of language L is essentially a theory of L. Any scientific theory is based on a finite number of observations, and it seeks to relate the observed phenomena and to predict new phenomena by constructing general laws in terms of hypothetical constructs.... Similarly a grammar of English is based on a finite corpus of utterances (observations), and it will contain certain grammatical rules (laws) stated in terms of the particular phonemes, phrases, etc., of English (hypothetical constructs). These rules express structural relations among the sentences of the corpus and the infinite number of sentences generated by the grammar beyond the corpus (predictions). (Chomsky, 1957, p. 49)

Historical dictionary of quotations in cognitive science > Grammar

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