Перевод: со всех языков на английский

с английского на все языки

sequential-+analysis

  • 41 анализ

    analysis, dissection, examination, investigation, scan, scanning, test, review, study
    * * *
    ана́лиз м.
    analysis, determination; ( визуальный) examination
    не попада́ть в ана́лиз (о сплавах и т. п.) — be out of control
    подверга́ть, напр. люминесце́нтному ана́лизу — analyze by, e. g., fluorescence
    подверга́ть стро́гому ана́лизу мат. — subject to a rigorous analysis, analyze rigorously [in rigorous terms]
    поддава́ться ана́лизу — be analysable
    попада́ть в ана́лиз (о сплавах и т. п.) — be in control
    при ана́лизе систе́ма разделя́ется [разбива́ется] на … — a system is analyzed into …
    проводи́ть ана́лиз — carry out [make, perform] an analysis
    проводи́ть ана́лиз на … — carry out an analysis for …, analyze for …
    абсорбцио́нный ана́лиз — absorption analysis
    адсорбцио́нный ана́лиз — adsorption analysis
    активацио́нный ана́лиз — (radio)activation analysis
    активацио́нный, радиохими́ческий ана́лиз — activation analysis with radiochemical separation
    арбитра́жный ана́лиз — arbitrary [arbitration] analysis
    ана́лиз бесконе́чно ма́лых мат.infinitesimal calculus
    биохими́ческий ана́лиз — biochemical analysis
    валово́й ана́лиз — bulk [total, gross] analysis
    вариацио́нный ана́лиз — analysis of variance
    ве́кторный ана́лиз — vector analysis
    весово́й ана́лиз — weight [gravimetric] analysis
    веще́ственный ана́лиз — substantial [material] analysis
    волюмометри́ческий ана́лиз — volumetric analysis
    временно́й ана́лиз — analysis in the time domain
    га́зовый ана́лиз — gas analysis
    гармони́ческий ана́лиз — harmonic [Fourier] analysis
    гравиметри́ческий ана́лиз — gravimetric analysis
    ана́лиз грани́чных усло́вий — limit analysis
    гранулометри́ческий ана́лиз — particle-size [grain-size] analysis
    динамометри́ческий ана́лиз — dynamic force analysis
    дискре́тный ана́лиз — sampling analysis
    дисперсио́нный ана́лиз мат., стат.analysis of variance
    дифракцио́нный ана́лиз — diffraction analysis
    дифференциа́льно-терми́ческий ана́лиз — differential thermal analysis
    дро́бный ана́лиз — fractional analysis
    ана́лиз дымовы́х га́зов — flue-gas analysis
    зо́льный ана́лиз — ash analysis
    ана́лиз изло́ма — fracture test
    изото́пный ана́лиз — isotopic analysis
    ана́лиз изото́пным разбавле́нием — isotope-dilution analysis
    иммерсио́нный ана́лиз — immersion analysis
    и́мпульсный ана́лиз — pulse analysis
    ана́лиз и́мпульсов, амплиту́дный — pulse-height analysis
    инфракра́сный спектра́льный ана́лиз — analysis by infrared spectroscopy
    калориметри́ческий ана́лиз — calorimetric analysis
    ка́пельный ана́лиз — drop analysis
    ка́чественный ана́лиз — qualitative analysis
    ка́чественный ана́лиз позволя́ет установи́ть нали́чие веще́ств — qualitative analysis detects substances
    кинемати́ческий ана́лиз — kinematic analysis
    ана́лиз ковшо́вой про́бы — ladle analysis
    коли́чественный ана́лиз — quantitative analysis
    коли́чественный ана́лиз позволя́ет определи́ть коли́чества веще́ств — quantitative analysis determines substances
    колориметри́ческий ана́лиз — colorimetric analysis
    комбинато́рный ана́лиз мат.combinatorial analysis
    кондуктометри́ческий ана́лиз — conductimetric analysis
    контро́льный ана́лиз — check analysis
    конформацио́нный ана́лиз — conformational analysis
    корреляцио́нный ана́лиз — correlation analysis
    ана́лиз кривы́х разго́на хим.transient response analysis
    кристаллографи́ческий ана́лиз — crystallographic analysis
    кристаллохими́ческий ана́лиз — chemical analysis of crystals
    кулонометри́ческий ана́лиз — coulometric analysis
    люминесце́нтный ана́лиз — fluorimetric [fluorescence] analysis, chemical analysis by fluorescence
    магнитострукту́рный ана́лиз — magnetic structural analysis
    масс-спектра́льный ана́лиз — mass spectrometric analysis
    масс-спектрографи́ческий ана́лиз — mass spectrographic analysis
    математи́ческий ана́лиз — mathematical analysis
    металлографи́ческий ана́лиз — metallographic analysis
    ана́лиз ме́тодом ме́ченых а́томов — tracer analysis
    ана́лиз ме́тодом оплавле́ния — fusion analysis
    ана́лиз ме́тодом сухо́го озоле́ния — blowpipe analysis
    ана́лиз ме́тодом титрова́ния — titrimetric analysis, analysis by titration
    механи́ческий ана́лиз — mechanical analysis
    многоме́рный ана́лиз — multivariate analysis
    мо́крый ана́лиз — wet analysis
    ана́лиз на микроэлеме́нты — trace analysis
    ана́лиз на моде́ли — model analysis
    ана́лиз напряже́ний мех.stress analysis
    нейтронографи́ческий ана́лиз крист.neutron diffraction analysis
    ана́лиз нелине́йных систе́м — non-linear system analysis
    ана́лиз нелине́йных систе́м ме́тодом гармони́ческого бала́нса — non-linear system analysis by the describing function method
    ана́лиз нелине́йных систе́м ме́тодом ма́лого пара́метра — non-linear system analysis by the perturbation theory [method]
    неоргани́ческий ана́лиз — inorganic analysis
    непреры́вный ана́лиз — on-stream analysis
    нефелометри́ческий ана́лиз — nephelometric analysis, nephelometric determination
    объё́мный ана́лиз — volumetric analysis
    опережа́ющий ана́лиз ( в автоматическом регулировании) — anticipatory analysis
    органи́ческий ана́лиз — organic analysis
    органолепти́ческий ана́лиз — organoleptic analysis
    ана́лиз отка́зов — failure analysis
    ана́лиз отму́чиванием — decantation analysis
    ана́лиз перехо́дных проце́ссов — transient (response) analysis
    петрографи́ческий ана́лиз — petrographic analysis
    пирохими́ческий ана́лиз — pyrochemical analysis
    ана́лиз плавле́нием в ва́кууме — vacuumfusion analysis
    пламефотометри́ческий ана́лиз — flame photometric analysis
    по́лный ана́лиз — complete [total] analysis
    полуколи́чественный ана́лиз — semiquantitative analysis
    поляриметри́ческий ана́лиз — polarimetric analysis
    полярографи́ческий ана́лиз — polarographic analysis
    после́довательный ана́лиз — sequential [successive] analysis
    потенциометри́ческий ана́лиз — potentiometric analysis
    ана́лиз пото́ка, квазистациона́рный — quasi-steady flow analysis
    ана́лиз потреби́тельского спро́са — marketing analysis
    ана́лиз преде́льных состоя́ний — limit analysis
    приближё́нный ана́лиз — approximate analysis
    причи́нный ана́лиз — cause-and-effect analysis
    проби́рный ана́лиз — assay(ing)
    проби́рный, мо́крый ана́лиз — wet assay(ing)
    проби́рный, сухо́й ана́лиз — dry [fire] assay(ing)
    ана́лиз про́бы из ковша́ — ladle analysis
    радиоактивацио́нный ана́лиз — radioactivation analysis
    ана́лиз радиоакти́вности — radioactivity determination
    радиометри́ческий ана́лиз — radiometric analysis
    ана́лиз разго́нкой — distillation analysis, distillation test
    ана́лиз разме́рностей — dimensional analysis
    ра́стровый ана́лиз — scanning analysis
    регрессио́нный ана́лиз — regression analysis
    рентгенографи́ческий ана́лиз — radiographic analysis
    рентгеноспектра́льный ана́лиз — (analysis by) X-ray spectrometry
    рентгеноспектра́льный, лока́льный ана́лиз — X-ray microanalysis, electron probe X-ray analysis
    рентгенострукту́рный ана́лиз — X-ray (diffraction) analysis
    рентгенофа́зовый ана́лиз — X-ray phase analysis
    рефрактометри́ческий ана́лиз — refractometric analysis
    ана́лиз руд — ore analysis, ore assay
    седиментацио́нный ана́лиз — sedimentation analysis
    седиментометри́ческий ана́лиз — sedimetric [sedimentometric] analysis
    ана́лиз сжига́нием — combustion analysis
    системати́ческий ана́лиз — systematic analysis
    си́товый ана́лиз — mesh [sieve, screen] analysis
    ана́лиз скани́рованием — analysis by scanning
    ана́лиз спе́ктра вибра́ции — vibration spectrum analysis
    спектра́льный ана́лиз — spectrum [spectral] analysis
    спектра́льный, молекуля́рный ана́лиз — molecular spectrum analysis
    спектра́льный, эмиссио́нный ана́лиз — emission (spectrum) analysis
    спектрографи́ческий ана́лиз — spectrographic analysis
    спектрофотометри́ческий ана́лиз — spectrophotometric [absorptimetric] analysis
    спектрофотометри́ческий ана́лиз в ви́димой ча́сти спе́ктра — visible spectrophotometric analysis, spectrophotometric analysis in the visible region
    спектрофотометри́ческий ана́лиз в инфракра́сной о́бласти — infrared spectrophotometric analysis, spectrophotometric analysis in the infrared region
    спектрофотометри́ческий ана́лиз в ультрафиоле́товой о́бласти — ultraviolet spectrophotometric analysis, spectrophotometric analysis in the ultraviolet region
    ана́лиз ста́ли при вы́пуске пла́вки — tapping analysis
    статисти́ческий ана́лиз — statistical analysis
    ана́лиз сто́чных вод — sewage analysis
    стробоскопи́ческий ана́лиз — stroboscopic analysis
    стру́йный ана́лиз — jet analysis
    структу́рный ана́лиз — structural analysis
    сухо́й ана́лиз — dry analysis
    те́нзорный ана́лиз — tensor analysis
    теплово́й ана́лиз — thermoanalysis
    терми́ческий ана́лиз — thermoanalysis
    термогравиметри́ческий ана́лиз — thermogravimetric analysis
    термомагни́тный ана́лиз — magnetothermal analysis
    те́хнико-экономи́ческий ана́лиз — technical-economical analysis
    техни́ческий ана́лиз — proximate analysis
    титриметри́ческий ана́лиз — titrimetric analysis, analysis by titration
    турбидиметри́ческий ана́лиз — turbidimetric analysis
    фа́зовый ана́лиз — phase analysis
    факториа́льный ана́лиз — factor analysis
    фотометри́ческий ана́лиз — photometric analysis
    фракцио́нный ана́лиз — fractional analysis
    фракцио́нный ана́лиз по пло́тности — float-and-sink [densimetric, specific gravity] analysis
    функциона́льный ана́лиз — functional analysis
    хими́ческий ана́лиз — chemical analysis
    хроматографи́ческий ана́лиз — chromatographic analysis
    цветово́й ана́лиз — colour separation
    ана́лиз цепе́й — circuit analysis
    ана́лиз цепе́й, маши́нный — computerized circuit analysis
    части́чный ана́лиз — partial analysis
    часто́тно-временно́й ана́лиз — time-and-frequency analysis, analysis in the time and frequency domain
    часто́тный ана́лиз — frequency (response) analysis, analysis in the frequency domain
    ана́лиз че́рез си́нтез вчт.analysis by synthesis
    чи́сленный ана́лиз — numerical analyses
    ана́лиз шу́ма — noise analysis
    электрографи́ческий ана́лиз крист.electron diffraction analysis
    элемента́рный ана́лиз — ultimate [elementary] analysis

    Русско-английский политехнический словарь > анализ

  • 42 последовательный анализ звука

    Русско-английский физический словарь > последовательный анализ звука

  • 43 паслядоўны статыстычны аналіз

    sequential statistical analysis

    Беларуска-ангельскі слоўнік матэматычных тэрмінаў і тэрміналагічных словазлучэнняў > паслядоўны статыстычны аналіз

  • 44 de aprovechamiento

    (adj.) = exploitative
    Ex. The analysis is in terms of: the form-oriented or descriptive function, transcription of descriptive data on to a document surrogate, sequential ordering of the surrogates and content-oriented or exploitative function.
    * * *
    (adj.) = exploitative

    Ex: The analysis is in terms of: the form-oriented or descriptive function, transcription of descriptive data on to a document surrogate, sequential ordering of the surrogates and content-oriented or exploitative function.

    Spanish-English dictionary > de aprovechamiento

  • 45 de explotación

    (adj.) = exploitative
    Ex. The analysis is in terms of: the form-oriented or descriptive function, transcription of descriptive data on to a document surrogate, sequential ordering of the surrogates and content-oriented or exploitative function.
    * * *
    (adj.) = exploitative

    Ex: The analysis is in terms of: the form-oriented or descriptive function, transcription of descriptive data on to a document surrogate, sequential ordering of the surrogates and content-oriented or exploitative function.

    Spanish-English dictionary > de explotación

  • 46 de utilización

    (adj.) = exploitative
    Ex. The analysis is in terms of: the form-oriented or descriptive function, transcription of descriptive data on to a document surrogate, sequential ordering of the surrogates and content-oriented or exploitative function.
    * * *
    (adj.) = exploitative

    Ex: The analysis is in terms of: the form-oriented or descriptive function, transcription of descriptive data on to a document surrogate, sequential ordering of the surrogates and content-oriented or exploitative function.

    Spanish-English dictionary > de utilización

  • 47 explotador

    adj.
    exploitative.
    m.
    exploiter, profiteer, shark.
    * * *
    nombre masculino,nombre femenino
    1 peyorativo exploiter
    * * *
    explotador, -a
    1.
    2.
    SM / F exploiter
    * * *
    I
    - dora adjetivo ( que explota a un trabajador) exploitative
    II
    - dora masculino, femenino ( de persona) exploiter
    * * *
    = sweater, exploitative.
    Ex. He is a systematic 'sweater' who sucks wealth from toiling crowds by cunning and by stealth.
    Ex. The analysis is in terms of: the form-oriented or descriptive function, transcription of descriptive data on to a document surrogate, sequential ordering of the surrogates and content-oriented or exploitative function.
    * * *
    I
    - dora adjetivo ( que explota a un trabajador) exploitative
    II
    - dora masculino, femenino ( de persona) exploiter
    * * *
    = sweater, exploitative.

    Ex: He is a systematic 'sweater' who sucks wealth from toiling crowds by cunning and by stealth.

    Ex: The analysis is in terms of: the form-oriented or descriptive function, transcription of descriptive data on to a document surrogate, sequential ordering of the surrogates and content-oriented or exploitative function.

    * * *
    A
    (que explota un negocio): la empresa explotadora de los bares del aeropuerto the company which runs o operates the bars in the airport
    masculine, feminine
    A (de un negocio) operator
    B (de una persona) exploiter
    * * *

    explotador
    ◊ - dora adjetivo

    exploitative
    ■ sustantivo masculino, femenino
    exploiter
    explotador,-ora sustantivo masculino y femenino pey exploiter

    ' explotador' also found in these entries:
    Spanish:
    explotadora
    - negrera
    - negrero
    - vampiro
    * * *
    explotador, -ora
    adj
    1. [de niños, trabajadores] exploiting
    2. [operador] operating;
    la sociedad explotadora del casino the company that operates the casino
    nm,f
    1. [de niños, trabajadores] exploiter
    2. [operador] operator
    * * *
    1 de mina operator
    exploiter

    Spanish-English dictionary > explotador

  • 48 orientado hacia el contenido

    Ex. The analysis is in terms of: the form-oriented or descriptive function, transcription of descriptive data on to a document surrogate, sequential ordering of the surrogates and content-oriented or exploitative function.
    * * *

    Ex: The analysis is in terms of: the form-oriented or descriptive function, transcription of descriptive data on to a document surrogate, sequential ordering of the surrogates and content-oriented or exploitative function.

    Spanish-English dictionary > orientado hacia el contenido

  • 49 orientado hacia la forma

    Ex. The analysis is in terms of: the form-oriented or descriptive function, transcription of descriptive data on to a document surrogate, sequential ordering of the surrogates and content-oriented or exploitative function.
    * * *

    Ex: The analysis is in terms of: the form-oriented or descriptive function, transcription of descriptive data on to a document surrogate, sequential ordering of the surrogates and content-oriented or exploitative function.

    Spanish-English dictionary > orientado hacia la forma

  • 50 Language

       Philosophy is written in that great book, the universe, which is always open, right before our eyes. But one cannot understand this book without first learning to understand the language and to know the characters in which it is written. It is written in the language of mathematics, and the characters are triangles, circles, and other figures. Without these, one cannot understand a single word of it, and just wanders in a dark labyrinth. (Galileo, 1990, p. 232)
       It never happens that it [a nonhuman animal] arranges its speech in various ways in order to reply appropriately to everything that may be said in its presence, as even the lowest type of man can do. (Descartes, 1970a, p. 116)
       It is a very remarkable fact that there are none so depraved and stupid, without even excepting idiots, that they cannot arrange different words together, forming of them a statement by which they make known their thoughts; while, on the other hand, there is no other animal, however perfect and fortunately circumstanced it may be, which can do the same. (Descartes, 1967, p. 116)
       Human beings do not live in the object world alone, nor alone in the world of social activity as ordinarily understood, but are very much at the mercy of the particular language which has become the medium of expression for their society. It is quite an illusion to imagine that one adjusts to reality essentially without the use of language and that language is merely an incidental means of solving specific problems of communication or reflection. The fact of the matter is that the "real world" is to a large extent unconsciously built on the language habits of the group.... We see and hear and otherwise experience very largely as we do because the language habits of our community predispose certain choices of interpretation. (Sapir, 1921, p. 75)
       It powerfully conditions all our thinking about social problems and processes.... No two languages are ever sufficiently similar to be considered as representing the same social reality. The worlds in which different societies live are distinct worlds, not merely the same worlds with different labels attached. (Sapir, 1985, p. 162)
       [A list of language games, not meant to be exhaustive:]
       Giving orders, and obeying them- Describing the appearance of an object, or giving its measurements- Constructing an object from a description (a drawing)Reporting an eventSpeculating about an eventForming and testing a hypothesisPresenting the results of an experiment in tables and diagramsMaking up a story; and reading itPlay actingSinging catchesGuessing riddlesMaking a joke; and telling it
       Solving a problem in practical arithmeticTranslating from one language into another
       LANGUAGE Asking, thanking, cursing, greeting, and praying-. (Wittgenstein, 1953, Pt. I, No. 23, pp. 11 e-12 e)
       We dissect nature along lines laid down by our native languages.... The world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... No individual is free to describe nature with absolute impartiality but is constrained to certain modes of interpretation even while he thinks himself most free. (Whorf, 1956, pp. 153, 213-214)
       We dissect nature along the lines laid down by our native languages.
       The categories and types that we isolate from the world of phenomena we do not find there because they stare every observer in the face; on the contrary, the world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... We are thus introduced to a new principle of relativity, which holds that all observers are not led by the same physical evidence to the same picture of the universe, unless their linguistic backgrounds are similar or can in some way be calibrated. (Whorf, 1956, pp. 213-214)
       9) The Forms of a Person's Thoughts Are Controlled by Unperceived Patterns of His Own Language
       The forms of a person's thoughts are controlled by inexorable laws of pattern of which he is unconscious. These patterns are the unperceived intricate systematizations of his own language-shown readily enough by a candid comparison and contrast with other languages, especially those of a different linguistic family. (Whorf, 1956, p. 252)
       It has come to be commonly held that many utterances which look like statements are either not intended at all, or only intended in part, to record or impart straightforward information about the facts.... Many traditional philosophical perplexities have arisen through a mistake-the mistake of taking as straightforward statements of fact utterances which are either (in interesting non-grammatical ways) nonsensical or else intended as something quite different. (Austin, 1962, pp. 2-3)
       In general, one might define a complex of semantic components connected by logical constants as a concept. The dictionary of a language is then a system of concepts in which a phonological form and certain syntactic and morphological characteristics are assigned to each concept. This system of concepts is structured by several types of relations. It is supplemented, furthermore, by redundancy or implicational rules..., representing general properties of the whole system of concepts.... At least a relevant part of these general rules is not bound to particular languages, but represents presumably universal structures of natural languages. They are not learned, but are rather a part of the human ability to acquire an arbitrary natural language. (Bierwisch, 1970, pp. 171-172)
       In studying the evolution of mind, we cannot guess to what extent there are physically possible alternatives to, say, transformational generative grammar, for an organism meeting certain other physical conditions characteristic of humans. Conceivably, there are none-or very few-in which case talk about evolution of the language capacity is beside the point. (Chomsky, 1972, p. 98)
       [It is] truth value rather than syntactic well-formedness that chiefly governs explicit verbal reinforcement by parents-which renders mildly paradoxical the fact that the usual product of such a training schedule is an adult whose speech is highly grammatical but not notably truthful. (R. O. Brown, 1973, p. 330)
       he conceptual base is responsible for formally representing the concepts underlying an utterance.... A given word in a language may or may not have one or more concepts underlying it.... On the sentential level, the utterances of a given language are encoded within a syntactic structure of that language. The basic construction of the sentential level is the sentence.
       The next highest level... is the conceptual level. We call the basic construction of this level the conceptualization. A conceptualization consists of concepts and certain relations among those concepts. We can consider that both levels exist at the same point in time and that for any unit on one level, some corresponding realizate exists on the other level. This realizate may be null or extremely complex.... Conceptualizations may relate to other conceptualizations by nesting or other specified relationships. (Schank, 1973, pp. 191-192)
       The mathematics of multi-dimensional interactive spaces and lattices, the projection of "computer behavior" on to possible models of cerebral functions, the theoretical and mechanical investigation of artificial intelligence, are producing a stream of sophisticated, often suggestive ideas.
       But it is, I believe, fair to say that nothing put forward until now in either theoretic design or mechanical mimicry comes even remotely in reach of the most rudimentary linguistic realities. (Steiner, 1975, p. 284)
       The step from the simple tool to the master tool, a tool to make tools (what we would now call a machine tool), seems to me indeed to parallel the final step to human language, which I call reconstitution. It expresses in a practical and social context the same understanding of hierarchy, and shows the same analysis by function as a basis for synthesis. (Bronowski, 1977, pp. 127-128)
        t is the language donn eґ in which we conduct our lives.... We have no other. And the danger is that formal linguistic models, in their loosely argued analogy with the axiomatic structure of the mathematical sciences, may block perception.... It is quite conceivable that, in language, continuous induction from simple, elemental units to more complex, realistic forms is not justified. The extent and formal "undecidability" of context-and every linguistic particle above the level of the phoneme is context-bound-may make it impossible, except in the most abstract, meta-linguistic sense, to pass from "pro-verbs," "kernals," or "deep deep structures" to actual speech. (Steiner, 1975, pp. 111-113)
       A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)
       Jakobson sees metaphor and metonymy as the characteristic modes of binarily opposed polarities which between them underpin the two-fold process of selection and combination by which linguistic signs are formed.... Thus messages are constructed, as Saussure said, by a combination of a "horizontal" movement, which combines words together, and a "vertical" movement, which selects the particular words from the available inventory or "inner storehouse" of the language. The combinative (or syntagmatic) process manifests itself in contiguity (one word being placed next to another) and its mode is metonymic. The selective (or associative) process manifests itself in similarity (one word or concept being "like" another) and its mode is metaphoric. The "opposition" of metaphor and metonymy therefore may be said to represent in effect the essence of the total opposition between the synchronic mode of language (its immediate, coexistent, "vertical" relationships) and its diachronic mode (its sequential, successive, lineal progressive relationships). (Hawkes, 1977, pp. 77-78)
       It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)
       First, [an ideal intertheoretic reduction] provides us with a set of rules"correspondence rules" or "bridge laws," as the standard vernacular has it-which effect a mapping of the terms of the old theory (T o) onto a subset of the expressions of the new or reducing theory (T n). These rules guide the application of those selected expressions of T n in the following way: we are free to make singular applications of their correspondencerule doppelgangers in T o....
       Second, and equally important, a successful reduction ideally has the outcome that, under the term mapping effected by the correspondence rules, the central principles of T o (those of semantic and systematic importance) are mapped onto general sentences of T n that are theorems of Tn. (P. Churchland, 1979, p. 81)
       If non-linguistic factors must be included in grammar: beliefs, attitudes, etc. [this would] amount to a rejection of the initial idealization of language as an object of study. A priori such a move cannot be ruled out, but it must be empirically motivated. If it proves to be correct, I would conclude that language is a chaos that is not worth studying.... Note that the question is not whether beliefs or attitudes, and so on, play a role in linguistic behavior and linguistic judgments... [but rather] whether distinct cognitive structures can be identified, which interact in the real use of language and linguistic judgments, the grammatical system being one of these. (Chomsky, 1979, pp. 140, 152-153)
        23) Language Is Inevitably Influenced by Specific Contexts of Human Interaction
       Language cannot be studied in isolation from the investigation of "rationality." It cannot afford to neglect our everyday assumptions concerning the total behavior of a reasonable person.... An integrational linguistics must recognize that human beings inhabit a communicational space which is not neatly compartmentalized into language and nonlanguage.... It renounces in advance the possibility of setting up systems of forms and meanings which will "account for" a central core of linguistic behavior irrespective of the situation and communicational purposes involved. (Harris, 1981, p. 165)
       By innate [linguistic knowledge], Chomsky simply means "genetically programmed." He does not literally think that children are born with language in their heads ready to be spoken. He merely claims that a "blueprint is there, which is brought into use when the child reaches a certain point in her general development. With the help of this blueprint, she analyzes the language she hears around her more readily than she would if she were totally unprepared for the strange gabbling sounds which emerge from human mouths. (Aitchison, 1987, p. 31)
       Looking at ourselves from the computer viewpoint, we cannot avoid seeing that natural language is our most important "programming language." This means that a vast portion of our knowledge and activity is, for us, best communicated and understood in our natural language.... One could say that natural language was our first great original artifact and, since, as we increasingly realize, languages are machines, so natural language, with our brains to run it, was our primal invention of the universal computer. One could say this except for the sneaking suspicion that language isn't something we invented but something we became, not something we constructed but something in which we created, and recreated, ourselves. (Leiber, 1991, p. 8)

    Historical dictionary of quotations in cognitive science > Language

  • 51 Bibliography

     ■ Aitchison, J. (1987). Noam Chomsky: Consensus and controversy. New York: Falmer Press.
     ■ Anderson, J. R. (1980). Cognitive psychology and its implications. San Francisco: W. H. Freeman.
     ■ Anderson, J. R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press.
     ■ Anderson, J. R. (1995). Cognitive psychology and its implications (4th ed.). New York: W. H. Freeman.
     ■ Archilochus (1971). In M. L. West (Ed.), Iambi et elegi graeci (Vol. 1). Oxford: Oxford University Press.
     ■ Armstrong, D. M. (1990). The causal theory of the mind. In W. G. Lycan (Ed.), Mind and cognition: A reader (pp. 37-47). Cambridge, MA: Basil Blackwell. (Originally published in 1981 in The nature of mind and other essays, Ithaca, NY: University Press).
     ■ Atkins, P. W. (1992). Creation revisited. Oxford: W. H. Freeman & Company.
     ■ Austin, J. L. (1962). How to do things with words. Cambridge, MA: Harvard University Press.
     ■ Bacon, F. (1878). Of the proficience and advancement of learning divine and human. In The works of Francis Bacon (Vol. 1). Cambridge, MA: Hurd & Houghton.
     ■ Bacon, R. (1928). Opus majus (Vol. 2). R. B. Burke (Trans.). Philadelphia, PA: University of Pennsylvania Press.
     ■ Bar-Hillel, Y. (1960). The present status of automatic translation of languages. In F. L. Alt (Ed.), Advances in computers (Vol. 1). New York: Academic Press.
     ■ Barr, A., & E. A. Feigenbaum (Eds.) (1981). The handbook of artificial intelligence (Vol. 1). Reading, MA: Addison-Wesley.
     ■ Barr, A., & E. A. Feigenbaum (Eds.) (1982). The handbook of artificial intelligence (Vol. 2). Los Altos, CA: William Kaufman.
     ■ Barron, F. X. (1963). The needs for order and for disorder as motives in creative activity. In C. W. Taylor & F. X. Barron (Eds.), Scientific creativity: Its rec ognition and development (pp. 153-160). New York: Wiley.
     ■ Bartlett, F. C. (1932). Remembering: A study in experimental and social psychology. Cambridge: Cambridge University Press.
     ■ Bartley, S. H. (1969). Principles of perception. London: Harper & Row.
     ■ Barzun, J. (1959). The house of intellect. New York: Harper & Row.
     ■ Beach, F. A., D. O. Hebb, C. T. Morgan & H. W. Nissen (Eds.) (1960). The neu ropsychology of Lashley. New York: McGraw-Hill.
     ■ Berkeley, G. (1996). Principles of human knowledge: Three Dialogues. Oxford: Oxford University Press. (Originally published in 1710.)
     ■ Berlin, I. (1953). The hedgehog and the fox: An essay on Tolstoy's view of history. NY: Simon & Schuster.
     ■ Bierwisch, J. (1970). Semantics. In J. Lyons (Ed.), New horizons in linguistics. Baltimore: Penguin Books.
     ■ Black, H. C. (1951). Black's law dictionary. St. Paul, MN: West Publishing.
     ■ Bobrow, D. G., & D. A. Norman (1975). Some principles of memory schemata. In D. G. Bobrow & A. Collins (Eds.), Representation and understanding: Stud ies in Cognitive Science (pp. 131-149). New York: Academic Press.
     ■ Boden, M. A. (1977). Artificial intelligence and natural man. New York: Basic Books.
     ■ Boden, M. A. (1981). Minds and mechanisms. Ithaca, NY: Cornell University Press.
     ■ Boden, M. A. (1990a). The creative mind: Myths and mechanisms. London: Cardinal.
     ■ Boden, M. A. (1990b). The philosophy of artificial intelligence. Oxford: Oxford University Press.
     ■ Boden, M. A. (1994). Precis of The creative mind: Myths and mechanisms. Behavioral and brain sciences 17, 519-570.
     ■ Boden, M. (1996). Creativity. In M. Boden (Ed.), Artificial Intelligence (2nd ed.). San Diego: Academic Press.
     ■ Bolter, J. D. (1984). Turing's man: Western culture in the computer age. Chapel Hill, NC: University of North Carolina Press.
     ■ Bolton, N. (1972). The psychology of thinking. London: Methuen.
     ■ Bourne, L. E. (1973). Some forms of cognition: A critical analysis of several papers. In R. Solso (Ed.), Contemporary issues in cognitive psychology (pp. 313324). Loyola Symposium on Cognitive Psychology (Chicago 1972). Washington, DC: Winston.
     ■ Bransford, J. D., N. S. McCarrell, J. J. Franks & K. E. Nitsch (1977). Toward unexplaining memory. In R. Shaw & J. D. Bransford (Eds.), Perceiving, acting, and knowing (pp. 431-466). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Breger, L. (1981). Freud's unfinished journey. London: Routledge & Kegan Paul.
     ■ Brehmer, B. (1986). In one word: Not from experience. In H. R. Arkes & K. Hammond (Eds.), Judgment and decision making: An interdisciplinary reader (pp. 705-719). Cambridge: Cambridge University Press.
     ■ Bresnan, J. (1978). A realistic transformational grammar. In M. Halle, J. Bresnan & G. A. Miller (Eds.), Linguistic theory and psychological reality (pp. 1-59). Cambridge, MA: MIT Press.
     ■ Brislin, R. W., W. J. Lonner & R. M. Thorndike (Eds.) (1973). Cross- cultural research methods. New York: Wiley.
     ■ Bronowski, J. (1977). A sense of the future: Essays in natural philosophy. P. E. Ariotti with R. Bronowski (Eds.). Cambridge, MA: MIT Press.
     ■ Bronowski, J. (1978). The origins of knowledge and imagination. New Haven, CT: Yale University Press.
     ■ Brown, R. O. (1973). A first language: The early stages. Cambridge, MA: Harvard University Press.
     ■ Brown, T. (1970). Lectures on the philosophy of the human mind. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 330-387). New York: Random House/Modern Library.
     ■ Bruner, J. S., J. Goodnow & G. Austin (1956). A study of thinking. New York: Wiley.
     ■ Campbell, J. (1982). Grammatical man: Information, entropy, language, and life. New York: Simon & Schuster.
     ■ Campbell, J. (1989). The improbable machine. New York: Simon & Schuster.
     ■ Carlyle, T. (1966). On heroes, hero- worship and the heroic in history. Lincoln: University of Nebraska Press. (Originally published in 1841.)
     ■ Carnap, R. (1959). The elimination of metaphysics through logical analysis of language [Ueberwindung der Metaphysik durch logische Analyse der Sprache]. In A. J. Ayer (Ed.), Logical positivism (pp. 60-81) A. Pap (Trans). New York: Free Press. (Originally published in 1932.)
     ■ Cassirer, E. (1946). Language and myth. New York: Harper and Brothers. Reprinted. New York: Dover Publications, 1953.
     ■ Cattell, R. B., & H. J. Butcher (1970). Creativity and personality. In P. E. Vernon (Ed.), Creativity. Harmondsworth, England: Penguin Books.
     ■ Caudill, M., & C. Butler (1990). Naturally intelligent systems. Cambridge, MA: MIT Press/Bradford Books.
     ■ Chandrasekaran, B. (1990). What kind of information processing is intelligence? A perspective on AI paradigms and a proposal. In D. Partridge & R. Wilks (Eds.), The foundations of artificial intelligence: A sourcebook (pp. 14-46). Cambridge: Cambridge University Press.
     ■ Charniak, E., & McDermott, D. (1985). Introduction to artificial intelligence. Reading, MA: Addison-Wesley.
     ■ Chase, W. G., & H. A. Simon (1988). The mind's eye in chess. In A. Collins & E. E. Smith (Eds.), Readings in cognitive science: A perspective from psychology and artificial intelligence (pp. 461-493). San Mateo, CA: Kaufmann.
     ■ Cheney, D. L., & R. M. Seyfarth (1990). How monkeys see the world: Inside the mind of another species. Chicago: University of Chicago Press.
     ■ Chi, M.T.H., R. Glaser & E. Rees (1982). Expertise in problem solving. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (pp. 7-73). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Chomsky, N. (1957). Syntactic structures. The Hague: Mouton. Janua Linguarum.
     ■ Chomsky, N. (1964). A transformational approach to syntax. In J. A. Fodor & J. J. Katz (Eds.), The structure of language: Readings in the philosophy of lan guage (pp. 211-245). Englewood Cliffs, NJ: Prentice-Hall.
     ■ Chomsky, N. (1965). Aspects of the theory of syntax. Cambridge, MA: MIT Press.
     ■ Chomsky, N. (1972). Language and mind (enlarged ed.). New York: Harcourt Brace Jovanovich.
     ■ Chomsky, N. (1979). Language and responsibility. New York: Pantheon.
     ■ Chomsky, N. (1986). Knowledge of language: Its nature, origin and use. New York: Praeger Special Studies.
     ■ Churchland, P. (1979). Scientific realism and the plasticity of mind. New York: Cambridge University Press.
     ■ Churchland, P. M. (1989). A neurocomputational perspective: The nature of mind and the structure of science. Cambridge, MA: MIT Press.
     ■ Churchland, P. S. (1986). Neurophilosophy. Cambridge, MA: MIT Press/Bradford Books.
     ■ Clark, A. (1996). Philosophical Foundations. In M. A. Boden (Ed.), Artificial in telligence (2nd ed.). San Diego: Academic Press.
     ■ Clark, H. H., & T. B. Carlson (1981). Context for comprehension. In J. Long & A. Baddeley (Eds.), Attention and performance (Vol. 9, pp. 313-330). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Clarke, A. C. (1984). Profiles of the future: An inquiry into the limits of the possible. New York: Holt, Rinehart & Winston.
     ■ Claxton, G. (1980). Cognitive psychology: A suitable case for what sort of treatment? In G. Claxton (Ed.), Cognitive psychology: New directions (pp. 1-25). London: Routledge & Kegan Paul.
     ■ Code, M. (1985). Order and organism. Albany, NY: State University of New York Press.
     ■ Collingwood, R. G. (1972). The idea of history. New York: Oxford University Press.
     ■ Coopersmith, S. (1967). The antecedents of self- esteem. San Francisco: W. H. Freeman.
     ■ Copland, A. (1952). Music and imagination. London: Oxford University Press.
     ■ Coren, S. (1994). The intelligence of dogs. New York: Bantam Books.
     ■ Cottingham, J. (Ed.) (1996). Western philosophy: An anthology. Oxford: Blackwell Publishers.
     ■ Cox, C. (1926). The early mental traits of three hundred geniuses. Stanford, CA: Stanford University Press.
     ■ Craik, K.J.W. (1943). The nature of explanation. Cambridge: Cambridge University Press.
     ■ Cronbach, L. J. (1990). Essentials of psychological testing (5th ed.). New York: HarperCollins.
     ■ Cronbach, L. J., & R. E. Snow (1977). Aptitudes and instructional methods. New York: Irvington. Paperback edition, 1981.
     ■ Csikszentmihalyi, M. (1993). The evolving self. New York: Harper Perennial.
     ■ Culler, J. (1976). Ferdinand de Saussure. New York: Penguin Books.
     ■ Curtius, E. R. (1973). European literature and the Latin Middle Ages. W. R. Trask (Trans.). Princeton, NJ: Princeton University Press.
     ■ D'Alembert, J.L.R. (1963). Preliminary discourse to the encyclopedia of Diderot. R. N. Schwab (Trans.). Indianapolis: Bobbs-Merrill.
     ■ Damasio, A. (1994). Descartes' error: Emotion, reason, and the human brain. New York: Avon.
     ■ Dampier, W. C. (1966). A history of modern science. Cambridge: Cambridge University Press.
     ■ Darwin, C. (1911). The life and letters of Charles Darwin (Vol. 1). Francis Darwin (Ed.). New York: Appleton.
     ■ Davidson, D. (1970) Mental events. In L. Foster & J. W. Swanson (Eds.), Experience and theory (pp. 79-101). Amherst: University of Massachussetts Press.
     ■ Davies, P. (1995). About time: Einstein's unfinished revolution. New York: Simon & Schuster/Touchstone.
     ■ Davis, R., & J. J. King (1977). An overview of production systems. In E. Elcock & D. Michie (Eds.), Machine intelligence 8. Chichester, England: Ellis Horwood.
     ■ Davis, R., & D. B. Lenat (1982). Knowledge- based systems in artificial intelligence. New York: McGraw-Hill.
     ■ Dawkins, R. (1982). The extended phenotype: The gene as the unit of selection. Oxford: W. H. Freeman.
     ■ deKleer, J., & J. S. Brown (1983). Assumptions and ambiguities in mechanistic mental models (1983). In D. Gentner & A. L. Stevens (Eds.), Mental modes (pp. 155-190). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Dennett, D. C. (1978a). Brainstorms: Philosophical essays on mind and psychology. Montgomery, VT: Bradford Books.
     ■ Dennett, D. C. (1978b). Toward a cognitive theory of consciousness. In D. C. Dennett, Brainstorms: Philosophical Essays on Mind and Psychology. Montgomery, VT: Bradford Books.
     ■ Dennett, D. C. (1995). Darwin's dangerous idea: Evolution and the meanings of life. New York: Simon & Schuster/Touchstone.
     ■ Descartes, R. (1897-1910). Traite de l'homme. In Oeuvres de Descartes (Vol. 11, pp. 119-215). Paris: Charles Adam & Paul Tannery. (Originally published in 1634.)
     ■ Descartes, R. (1950). Discourse on method. L. J. Lafleur (Trans.). New York: Liberal Arts Press. (Originally published in 1637.)
     ■ Descartes, R. (1951). Meditation on first philosophy. L. J. Lafleur (Trans.). New York: Liberal Arts Press. (Originally published in 1641.)
     ■ Descartes, R. (1955). The philosophical works of Descartes. E. S. Haldane and G.R.T. Ross (Trans.). New York: Dover. (Originally published in 1911 by Cambridge University Press.)
     ■ Descartes, R. (1967). Discourse on method (Pt. V). In E. S. Haldane and G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 106-118). Cambridge: Cambridge University Press. (Originally published in 1637.)
     ■ Descartes, R. (1970a). Discourse on method. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 181-200). Cambridge: Cambridge University Press. (Originally published in 1637.)
     ■ Descartes, R. (1970b). Principles of philosophy. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 178-291). Cambridge: Cambridge University Press. (Originally published in 1644.)
     ■ Descartes, R. (1984). Meditations on first philosophy. In J. Cottingham, R. Stoothoff & D. Murduch (Trans.), The philosophical works of Descartes (Vol. 2). Cambridge: Cambridge University Press. (Originally published in 1641.)
     ■ Descartes, R. (1986). Meditations on first philosophy. J. Cottingham (Trans.). Cambridge: Cambridge University Press. (Originally published in 1641 as Med itationes de prima philosophia.)
     ■ deWulf, M. (1956). An introduction to scholastic philosophy. Mineola, NY: Dover Books.
     ■ Dixon, N. F. (1981). Preconscious processing. London: Wiley.
     ■ Doyle, A. C. (1986). The Boscombe Valley mystery. In Sherlock Holmes: The com plete novels and stories (Vol. 1). New York: Bantam.
     ■ Dreyfus, H., & S. Dreyfus (1986). Mind over machine. New York: Free Press.
     ■ Dreyfus, H. L. (1972). What computers can't do: The limits of artificial intelligence (revised ed.). New York: Harper & Row.
     ■ Dreyfus, H. L., & S. E. Dreyfus (1986). Mind over machine: The power of human intuition and expertise in the era of the computer. New York: Free Press.
     ■ Edelman, G. M. (1992). Bright air, brilliant fire: On the matter of the mind. New York: Basic Books.
     ■ Ehrenzweig, A. (1967). The hidden order of art. London: Weidenfeld & Nicolson.
     ■ Einstein, A., & L. Infeld (1938). The evolution of physics. New York: Simon & Schuster.
     ■ Eisenstein, S. (1947). Film sense. New York: Harcourt, Brace & World.
     ■ Everdell, W. R. (1997). The first moderns. Chicago: University of Chicago Press.
     ■ Eysenck, M. W. (1977). Human memory: Theory, research and individual difference. Oxford: Pergamon.
     ■ Eysenck, M. W. (1982). Attention and arousal: Cognition and performance. Berlin: Springer.
     ■ Eysenck, M. W. (1984). A handbook of cognitive psychology. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Fancher, R. E. (1979). Pioneers of psychology. New York: W. W. Norton.
     ■ Farrell, B. A. (1981). The standing of psychoanalysis. New York: Oxford University Press.
     ■ Feldman, D. H. (1980). Beyond universals in cognitive development. Norwood, NJ: Ablex.
     ■ Fetzer, J. H. (1996). Philosophy and cognitive science (2nd ed.). New York: Paragon House.
     ■ Finke, R. A. (1990). Creative imagery: Discoveries and inventions in visualization. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Flanagan, O. (1991). The science of the mind. Cambridge MA: MIT Press/Bradford Books.
     ■ Fodor, J. (1983). The modularity of mind. Cambridge, MA: MIT Press/Bradford Books.
     ■ Frege, G. (1972). Conceptual notation. T. W. Bynum (Trans.). Oxford: Clarendon Press. (Originally published in 1879.)
     ■ Frege, G. (1979). Logic. In H. Hermes, F. Kambartel & F. Kaulbach (Eds.), Gottlob Frege: Posthumous writings. Chicago: University of Chicago Press. (Originally published in 1879-1891.)
     ■ Freud, S. (1959). Creative writers and day-dreaming. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 9, pp. 143-153). London: Hogarth Press.
     ■ Freud, S. (1966). Project for a scientific psychology. In J. Strachey (Ed.), The stan dard edition of the complete psychological works of Sigmund Freud (Vol. 1, pp. 295-398). London: Hogarth Press. (Originally published in 1950 as Aus den AnfaЁngen der Psychoanalyse, in London by Imago Publishing.)
     ■ Freud, S. (1976). Lecture 18-Fixation to traumas-the unconscious. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 16, p. 285). London: Hogarth Press.
     ■ Galileo, G. (1990). Il saggiatore [The assayer]. In S. Drake (Ed.), Discoveries and opinions of Galileo. New York: Anchor Books. (Originally published in 1623.)
     ■ Gassendi, P. (1970). Letter to Descartes. In "Objections and replies." In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 2, pp. 179-240). Cambridge: Cambridge University Press. (Originally published in 1641.)
     ■ Gazzaniga, M. S. (1988). Mind matters: How mind and brain interact to create our conscious lives. Boston: Houghton Mifflin in association with MIT Press/Bradford Books.
     ■ Genesereth, M. R., & N. J. Nilsson (1987). Logical foundations of artificial intelligence. Palo Alto, CA: Morgan Kaufmann.
     ■ Ghiselin, B. (1952). The creative process. New York: Mentor.
     ■ Ghiselin, B. (1985). The creative process. Berkeley, CA: University of California Press. (Originally published in 1952.)
     ■ Gilhooly, K. J. (1996). Thinking: Directed, undirected and creative (3rd ed.). London: Academic Press.
     ■ Glass, A. L., K. J. Holyoak & J. L. Santa (1979). Cognition. Reading, MA: AddisonWesley.
     ■ Goody, J. (1977). The domestication of the savage mind. Cambridge: Cambridge University Press.
     ■ Gruber, H. E. (1980). Darwin on man: A psychological study of scientific creativity (2nd ed.). Chicago: University of Chicago Press.
     ■ Gruber, H. E., & S. Davis (1988). Inching our way up Mount Olympus: The evolving systems approach to creative thinking. In R. J. Sternberg (Ed.), The nature of creativity: Contemporary psychological perspectives. Cambridge: Cambridge University Press.
     ■ Guthrie, E. R. (1972). The psychology of learning. New York: Harper. (Originally published in 1935.)
     ■ Habermas, J. (1972). Knowledge and human interests. Boston: Beacon Press.
     ■ Hadamard, J. (1945). The psychology of invention in the mathematical field. Princeton, NJ: Princeton University Press.
     ■ Hand, D. J. (1985). Artificial intelligence and psychiatry. Cambridge: Cambridge University Press.
     ■ Harris, M. (1981). The language myth. London: Duckworth.
     ■ Haugeland, J. (Ed.) (1981). Mind design: Philosophy, psychology, artificial intelligence. Cambridge, MA: MIT Press/Bradford Books.
     ■ Haugeland, J. (1981a). The nature and plausibility of cognitivism. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 243-281). Cambridge, MA: MIT Press.
     ■ Haugeland, J. (1981b). Semantic engines: An introduction to mind design. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 1-34). Cambridge, MA: MIT Press/Bradford Books.
     ■ Haugeland, J. (1985). Artificial intelligence: The very idea. Cambridge, MA: MIT Press.
     ■ Hawkes, T. (1977). Structuralism and semiotics. Berkeley: University of California Press.
     ■ Hebb, D. O. (1949). The organisation of behaviour. New York: Wiley.
     ■ Hebb, D. O. (1958). A textbook of psychology. Philadelphia: Saunders.
     ■ Hegel, G.W.F. (1910). The phenomenology of mind. J. B. Baille (Trans.). London: Sonnenschein. (Originally published as Phaenomenologie des Geistes, 1807.)
     ■ Heisenberg, W. (1958). Physics and philosophy. New York: Harper & Row.
     ■ Hempel, C. G. (1966). Philosophy of natural science. Englewood Cliffs, NJ: PrenticeHall.
     ■ Herman, A. (1997). The idea of decline in Western history. New York: Free Press.
     ■ Herrnstein, R. J., & E. G. Boring (Eds.) (1965). A source book in the history of psy chology. Cambridge, MA: Harvard University Press.
     ■ Herzmann, E. (1964). Mozart's creative process. In P. H. Lang (Ed.), The creative world of Mozart (pp. 17-30). London: Oldbourne Press.
     ■ Hilgard, E. R. (1957). Introduction to psychology. London: Methuen.
     ■ Hobbes, T. (1651). Leviathan. London: Crooke.
     ■ Hofstadter, D. R. (1979). Goedel, Escher, Bach: An eternal golden braid. New York: Basic Books.
     ■ Holliday, S. G., & M. J. Chandler (1986). Wisdom: Explorations in adult competence. Basel, Switzerland: Karger.
     ■ Horn, J. L. (1986). In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 3). Hillsdale, NJ: Erlbaum.
     ■ Hull, C. (1943). Principles of behavior. New York: Appleton-Century-Crofts.
     ■ Hume, D. (1955). An inquiry concerning human understanding. New York: Liberal Arts Press. (Originally published in 1748.)
     ■ Hume, D. (1975). An enquiry concerning human understanding. In L. A. SelbyBigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (Spelling and punctuation revised.) (Originally published in 1748.)
     ■ Hume, D. (1978). A treatise of human nature. L. A. Selby-Bigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (With some modifications of spelling and punctuation.) (Originally published in 1690.)
     ■ Hunt, E. (1973). The memory we must have. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language. (pp. 343-371) San Francisco: W. H. Freeman.
     ■ Husserl, E. (1960). Cartesian meditations. The Hague: Martinus Nijhoff.
     ■ Inhelder, B., & J. Piaget (1958). The growth of logical thinking from childhood to adolescence. New York: Basic Books. (Originally published in 1955 as De la logique de l'enfant a` la logique de l'adolescent. [Paris: Presses Universitaire de France])
     ■ James, W. (1890a). The principles of psychology (Vol. 1). New York: Dover Books.
     ■ James, W. (1890b). The principles of psychology. New York: Henry Holt.
     ■ Jevons, W. S. (1900). The principles of science (2nd ed.). London: Macmillan.
     ■ Johnson, G. (1986). Machinery of the mind: Inside the new science of artificial intelli gence. New York: Random House.
     ■ Johnson, M. L. (1988). Mind, language, machine. New York: St. Martin's Press.
     ■ Johnson-Laird, P. N. (1983). Mental models: Toward a cognitive science of language, inference, and consciousness. Cambridge, MA: Harvard University Press.
     ■ Johnson-Laird, P. N. (1988). The computer and the mind: An introduction to cognitive science. Cambridge, MA: Harvard University Press.
     ■ Jones, E. (1961). The life and work of Sigmund Freud. L. Trilling & S. Marcus (Eds.). London: Hogarth.
     ■ Jones, R. V. (1985). Complementarity as a way of life. In A. P. French & P. J. Kennedy (Eds.), Niels Bohr: A centenary volume. Cambridge, MA: Harvard University Press.
     ■ Kant, I. (1933). Critique of Pure Reason (2nd ed.). N. K. Smith (Trans.). London: Macmillan. (Originally published in 1781 as Kritik der reinen Vernunft.)
     ■ Kant, I. (1891). Solution of the general problems of the Prolegomena. In E. Belfort (Trans.), Kant's Prolegomena. London: Bell. (With minor modifications.) (Originally published in 1783.)
     ■ Katona, G. (1940). Organizing and memorizing: Studies in the psychology of learning and teaching. New York: Columbia University Press.
     ■ Kaufman, A. S. (1979). Intelligent testing with the WISC-R. New York: Wiley.
     ■ Koestler, A. (1964). The act of creation. New York: Arkana (Penguin).
     ■ Kohlberg, L. (1971). From is to ought. In T. Mischel (Ed.), Cognitive development and epistemology. (pp. 151-235) New York: Academic Press.
     ■ KoЁhler, W. (1925). The mentality of apes. New York: Liveright.
     ■ KoЁhler, W. (1927). The mentality of apes (2nd ed.). Ella Winter (Trans.). London: Routledge & Kegan Paul.
     ■ KoЁhler, W. (1930). Gestalt psychology. London: G. Bell.
     ■ KoЁhler, W. (1947). Gestalt psychology. New York: Liveright.
     ■ KoЁhler, W. (1969). The task of Gestalt psychology. Princeton, NJ: Princeton University Press.
     ■ Kuhn, T. (1970). The structure of scientific revolutions (2nd ed.). Chicago: University of Chicago Press.
     ■ Langer, E. J. (1989). Mindfulness. Reading, MA: Addison-Wesley.
     ■ Langer, S. (1962). Philosophical sketches. Baltimore: Johns Hopkins University Press.
     ■ Langley, P., H. A. Simon, G. L. Bradshaw & J. M. Zytkow (1987). Scientific dis covery: Computational explorations of the creative process. Cambridge, MA: MIT Press.
     ■ Lashley, K. S. (1951). The problem of serial order in behavior. In L. A. Jeffress (Ed.), Cerebral mechanisms in behavior, the Hixon Symposium (pp. 112-146) New York: Wiley.
     ■ LeDoux, J. E., & W. Hirst (1986). Mind and brain: Dialogues in cognitive neuroscience. Cambridge: Cambridge University Press.
     ■ Lehnert, W. (1978). The process of question answering. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Leiber, J. (1991). Invitation to cognitive science. Oxford: Blackwell.
     ■ Lenat, D. B., & G. Harris (1978). Designing a rule system that searches for scientific discoveries. In D. A. Waterman & F. Hayes-Roth (Eds.), Pattern directed inference systems (pp. 25-52) New York: Academic Press.
     ■ Levenson, T. (1995). Measure for measure: A musical history of science. New York: Touchstone. (Originally published in 1994.)
     ■ Leґvi-Strauss, C. (1963). Structural anthropology. C. Jacobson & B. Grundfest Schoepf (Trans.). New York: Basic Books. (Originally published in 1958.)
     ■ Levine, M. W., & J. M. Schefner (1981). Fundamentals of sensation and perception. London: Addison-Wesley.
     ■ Lewis, C. I. (1946). An analysis of knowledge and valuation. LaSalle, IL: Open Court.
     ■ Lighthill, J. (1972). A report on artificial intelligence. Unpublished manuscript, Science Research Council.
     ■ Lipman, M., A. M. Sharp & F. S. Oscanyan (1980). Philosophy in the classroom. Philadelphia: Temple University Press.
     ■ Lippmann, W. (1965). Public opinion. New York: Free Press. (Originally published in 1922.)
     ■ Locke, J. (1956). An essay concerning human understanding. Chicago: Henry Regnery Co. (Originally published in 1690.)
     ■ Locke, J. (1975). An essay concerning human understanding. P. H. Nidditch (Ed.). Oxford: Clarendon. (Originally published in 1690.) (With spelling and punctuation modernized and some minor modifications of phrasing.)
     ■ Lopate, P. (1994). The art of the personal essay. New York: Doubleday/Anchor Books.
     ■ Lorimer, F. (1929). The growth of reason. London: Kegan Paul. Machlup, F., & U. Mansfield (Eds.) (1983). The study of information. New York: Wiley.
     ■ Manguel, A. (1996). A history of reading. New York: Viking.
     ■ Margolis, H. (1987). Patterns, thinking, and cognition. Chicago: University of Chicago Press.
     ■ Markey, J. F. (1928). The symbolic process. London: Kegan Paul.
     ■ Martin, R. M. (1969). On Ziff's "Natural and formal languages." In S. Hook (Ed.), Language and philosophy: A symposium (pp. 249-263). New York: New York University Press.
     ■ Mazlish, B. (1993). The fourth discontinuity: the co- evolution of humans and machines. New Haven, CT: Yale University Press.
     ■ McCarthy, J., & P. J. Hayes (1969). Some philosophical problems from the standpoint of artificial intelligence. In B. Meltzer & D. Michie (Eds.), Machine intelligence 4. Edinburgh: Edinburgh University Press.
     ■ McClelland, J. L., D. E. Rumelhart & G. E. Hinton (1986). The appeal of parallel distributed processing. In D. E. Rumelhart, J. L. McClelland & the PDP Research Group (Eds.), Parallel distributed processing: Explorations in the mi crostructure of cognition (Vol. 1, pp. 3-40). Cambridge, MA: MIT Press/ Bradford Books.
     ■ McCorduck, P. (1979). Machines who think. San Francisco: W. H. Freeman.
     ■ McLaughlin, T. (1970). Music and communication. London: Faber & Faber.
     ■ Mednick, S. A. (1962). The associative basis of the creative process. Psychological Review 69, 431-436.
     ■ Meehl, P. E., & C. J. Golden (1982). Taxometric methods. In Kendall, P. C., & Butcher, J. N. (Eds.), Handbook of research methods in clinical psychology (pp. 127-182). New York: Wiley.
     ■ Mehler, J., E.C.T. Walker & M. Garrett (Eds.) (1982). Perspectives on mental rep resentation: Experimental and theoretical studies of cognitive processes and ca pacities. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Mill, J. S. (1900). A system of logic, ratiocinative and inductive: Being a connected view of the principles of evidence and the methods of scientific investigation. London: Longmans, Green.
     ■ Miller, G. A. (1979, June). A very personal history. Talk to the Cognitive Science Workshop, Cambridge, MA.
     ■ Miller, J. (1983). States of mind. New York: Pantheon Books.
     ■ Minsky, M. (1975). A framework for representing knowledge. In P. H. Winston (Ed.), The psychology of computer vision (pp. 211-277). New York: McGrawHill.
     ■ Minsky, M., & S. Papert (1973). Artificial intelligence. Condon Lectures, Oregon State System of Higher Education, Eugene, Oregon.
     ■ Minsky, M. L. (1986). The society of mind. New York: Simon & Schuster.
     ■ Mischel, T. (1976). Psychological explanations and their vicissitudes. In J. K. Cole & W. J. Arnold (Eds.), Nebraska Symposium on motivation (Vol. 23). Lincoln, NB: University of Nebraska Press.
     ■ Morford, M.P.O., & R. J. Lenardon (1995). Classical mythology (5th ed.). New York: Longman.
     ■ Murdoch, I. (1954). Under the net. New York: Penguin.
     ■ Nagel, E. (1959). Methodological issues in psychoanalytic theory. In S. Hook (Ed.), Psychoanalysis, scientific method, and philosophy: A symposium. New York: New York University Press.
     ■ Nagel, T. (1979). Mortal questions. London: Cambridge University Press.
     ■ Nagel, T. (1986). The view from nowhere. Oxford: Oxford University Press.
     ■ Neisser, U. (1967). Cognitive psychology. New York: Appleton-Century-Crofts.
     ■ Neisser, U. (1972). Changing conceptions of imagery. In P. W. Sheehan (Ed.), The function and nature of imagery (pp. 233-251). London: Academic Press.
     ■ Neisser, U. (1976). Cognition and reality. San Francisco: W. H. Freeman.
     ■ Neisser, U. (1978). Memory: What are the important questions? In M. M. Gruneberg, P. E. Morris & R. N. Sykes (Eds.), Practical aspects of memory (pp. 3-24). London: Academic Press.
     ■ Neisser, U. (1979). The concept of intelligence. In R. J. Sternberg & D. K. Detterman (Eds.), Human intelligence: Perspectives on its theory and measurement (pp. 179-190). Norwood, NJ: Ablex.
     ■ Nersessian, N. (1992). How do scientists think? Capturing the dynamics of conceptual change in science. In R. N. Giere (Ed.), Cognitive models of science (pp. 3-44). Minneapolis: University of Minnesota Press.
     ■ Newell, A. (1973a). Artificial intelligence and the concept of mind. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 1-60). San Francisco: W. H. Freeman.
     ■ Newell, A. (1973b). You can't play 20 questions with nature and win. In W. G. Chase (Ed.), Visual information processing (pp. 283-310). New York: Academic Press.
     ■ Newell, A., & H. A. Simon (1963). GPS: A program that simulates human thought. In E. A. Feigenbaum & J. Feldman (Eds.), Computers and thought (pp. 279-293). New York & McGraw-Hill.
     ■ Newell, A., & H. A. Simon (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.
     ■ Nietzsche, F. (1966). Beyond good and evil. W. Kaufmann (Trans.). New York: Vintage. (Originally published in 1885.)
     ■ Nilsson, N. J. (1971). Problem- solving methods in artificial intelligence. New York: McGraw-Hill.
     ■ Nussbaum, M. C. (1978). Aristotle's Princeton University Press. De Motu Anamalium. Princeton, NJ:
     ■ Oersted, H. C. (1920). Thermo-electricity. In Kirstine Meyer (Ed.), H. C. Oersted, Natuurvidenskabelige Skrifter (Vol. 2). Copenhagen: n.p. (Originally published in 1830 in The Edinburgh encyclopaedia.)
     ■ Ong, W. J. (1982). Orality and literacy: The technologizing of the word. London: Methuen.
     ■ Onians, R. B. (1954). The origins of European thought. Cambridge, MA: Cambridge University Press.
     ■ Osgood, C. E. (1960). Method and theory in experimental psychology. New York: Oxford University Press. (Originally published in 1953.)
     ■ Osgood, C. E. (1966). Language universals and psycholinguistics. In J. H. Greenberg (Ed.), Universals of language (2nd ed., pp. 299-322). Cambridge, MA: MIT Press.
     ■ Palmer, R. E. (1969). Hermeneutics. Evanston, IL: Northwestern University Press.
     ■ Peirce, C. S. (1934). Some consequences of four incapacities-Man, a sign. In C. Hartsborne & P. Weiss (Eds.), Collected papers of Charles Saunders Peirce (Vol. 5, pp. 185-189). Cambridge, MA: Harvard University Press.
     ■ Penfield, W. (1959). In W. Penfield & L. Roberts, Speech and brain mechanisms. Princeton, NJ: Princeton University Press.
     ■ Penrose, R. (1994). Shadows of the mind: A search for the missing science of conscious ness. Oxford: Oxford University Press.
     ■ Perkins, D. N. (1981). The mind's best work. Cambridge, MA: Harvard University Press.
     ■ Peterfreund, E. (1986). The heuristic approach to psychoanalytic therapy. In
     ■ J. Reppen (Ed.), Analysts at work, (pp. 127-144). Hillsdale, NJ: Analytic Press.
     ■ Piaget, J. (1952). The origin of intelligence in children. New York: International Universities Press. (Originally published in 1936.)
     ■ Piaget, J. (1954). Le langage et les opeґrations intellectuelles. Proble` mes de psycho linguistique. Symposium de l'Association de Psychologie Scientifique de Langue Francёaise. Paris: Presses Universitaires de France.
     ■ Piaget, J. (1977). Problems of equilibration. In H. E. Gruber & J. J. Voneche (Eds.), The essential Piaget (pp. 838-841). London: Routlege & Kegan Paul. (Originally published in 1975 as L'eґquilibration des structures cognitives [Paris: Presses Universitaires de France].)
     ■ Piaget, J., & B. Inhelder. (1973). Memory and intelligence. New York: Basic Books.
     ■ Pinker, S. (1994). The language instinct. New York: Morrow.
     ■ Pinker, S. (1996). Facts about human language relevant to its evolution. In J.-P. Changeux & J. Chavaillon (Eds.), Origins of the human brain. A symposium of the Fyssen foundation (pp. 262-283). Oxford: Clarendon Press. Planck, M. (1949). Scientific autobiography and other papers. F. Gaynor (Trans.). New York: Philosophical Library.
     ■ Planck, M. (1990). Wissenschaftliche Selbstbiographie. W. Berg (Ed.). Halle, Germany: Deutsche Akademie der Naturforscher Leopoldina.
     ■ Plato (1892). Meno. In The Dialogues of Plato (B. Jowett, Trans.; Vol. 2). New York: Clarendon. (Originally published circa 380 B.C.)
     ■ Poincareґ, H. (1913). Mathematical creation. In The foundations of science. G. B. Halsted (Trans.). New York: Science Press.
     ■ Poincareґ, H. (1921). The foundations of science: Science and hypothesis, the value of science, science and method. G. B. Halstead (Trans.). New York: Science Press.
     ■ Poincareґ, H. (1929). The foundations of science: Science and hypothesis, the value of science, science and method. New York: Science Press.
     ■ Poincareґ, H. (1952). Science and method. F. Maitland (Trans.) New York: Dover.
     ■ Polya, G. (1945). How to solve it. Princeton, NJ: Princeton University Press.
     ■ Polanyi, M. (1958). Personal knowledge. London: Routledge & Kegan Paul.
     ■ Popper, K. (1968). Conjectures and refutations: The growth of scientific knowledge. New York: Harper & Row/Basic Books.
     ■ Popper, K., & J. Eccles (1977). The self and its brain. New York: Springer-Verlag.
     ■ Popper, K. R. (1959). The logic of scientific discovery. London: Hutchinson.
     ■ Putnam, H. (1975). Mind, language and reality: Philosophical papers (Vol. 2). Cambridge: Cambridge University Press.
     ■ Putnam, H. (1987). The faces of realism. LaSalle, IL: Open Court.
     ■ Pylyshyn, Z. W. (1981). The imagery debate: Analog media versus tacit knowledge. In N. Block (Ed.), Imagery (pp. 151-206). Cambridge, MA: MIT Press.
     ■ Pylyshyn, Z. W. (1984). Computation and cognition: Towards a foundation for cog nitive science. Cambridge, MA: MIT Press/Bradford Books.
     ■ Quillian, M. R. (1968). Semantic memory. In M. Minsky (Ed.), Semantic information processing (pp. 216-260). Cambridge, MA: MIT Press.
     ■ Quine, W.V.O. (1960). Word and object. Cambridge, MA: Harvard University Press.
     ■ Rabbitt, P.M.A., & S. Dornic (Eds.). Attention and performance (Vol. 5). London: Academic Press.
     ■ Rawlins, G.J.E. (1997). Slaves of the Machine: The quickening of computer technology. Cambridge, MA: MIT Press/Bradford Books.
     ■ Reid, T. (1970). An inquiry into the human mind on the principles of common sense. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 151-178). New York: Random House/Modern Library.
     ■ Reitman, W. (1970). What does it take to remember? In D. A. Norman (Ed.), Models of human memory (pp. 470-510). London: Academic Press.
     ■ Ricoeur, P. (1974). Structure and hermeneutics. In D. I. Ihde (Ed.), The conflict of interpretations: Essays in hermeneutics (pp. 27-61). Evanston, IL: Northwestern University Press.
     ■ Robinson, D. N. (1986). An intellectual history of psychology. Madison: University of Wisconsin Press.
     ■ Rorty, R. (1979). Philosophy and the mirror of nature. Princeton, NJ: Princeton University Press.
     ■ Rosch, E. (1977). Human categorization. In N. Warren (Ed.), Studies in cross cultural psychology (Vol. 1, pp. 1-49) London: Academic Press.
     ■ Rosch, E. (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 27-48). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Rosch, E., & B. B. Lloyd (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Rose, S. (1970). The chemistry of life. Baltimore: Penguin Books.
     ■ Rose, S. (1976). The conscious brain (updated ed.). New York: Random House.
     ■ Rose, S. (1993). The making of memory: From molecules to mind. New York: Anchor Books. (Originally published in 1992)
     ■ Roszak, T. (1994). The cult of information: A neo- Luddite treatise on high- tech, artificial intelligence, and the true art of thinking (2nd ed.). Berkeley: University of California Press.
     ■ Royce, J. R., & W. W. Rozeboom (Eds.) (1972). The psychology of knowing. New York: Gordon & Breach.
     ■ Rumelhart, D. E. (1977). Introduction to human information processing. New York: Wiley.
     ■ Rumelhart, D. E. (1980). Schemata: The building blocks of cognition. In R. J. Spiro, B. Bruce & W. F. Brewer (Eds.), Theoretical issues in reading comprehension. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Rumelhart, D. E., & J. L. McClelland (1986). On learning the past tenses of English verbs. In J. L. McClelland & D. E. Rumelhart (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition (Vol. 2). Cambridge, MA: MIT Press.
     ■ Rumelhart, D. E., P. Smolensky, J. L. McClelland & G. E. Hinton (1986). Schemata and sequential thought processes in PDP models. In J. L. McClelland, D. E. Rumelhart & the PDP Research Group (Eds.), Parallel Distributed Processing (Vol. 2, pp. 7-57). Cambridge, MA: MIT Press.
     ■ Russell, B. (1927). An outline of philosophy. London: G. Allen & Unwin.
     ■ Russell, B. (1961). History of Western philosophy. London: George Allen & Unwin.
     ■ Russell, B. (1965). How I write. In Portraits from memory and other essays. London: Allen & Unwin.
     ■ Russell, B. (1992). In N. Griffin (Ed.), The selected letters of Bertrand Russell (Vol. 1), The private years, 1884- 1914. Boston: Houghton Mifflin. Ryecroft, C. (1966). Psychoanalysis observed. London: Constable.
     ■ Sagan, C. (1978). The dragons of Eden: Speculations on the evolution of human intel ligence. New York: Ballantine Books.
     ■ Salthouse, T. A. (1992). Expertise as the circumvention of human processing limitations. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.
     ■ Sanford, A. J. (1987). The mind of man: Models of human understanding. New Haven, CT: Yale University Press.
     ■ Sapir, E. (1921). Language. New York: Harcourt, Brace, and World.
     ■ Sapir, E. (1964). Culture, language, and personality. Berkeley: University of California Press. (Originally published in 1941.)
     ■ Sapir, E. (1985). The status of linguistics as a science. In D. G. Mandelbaum (Ed.), Selected writings of Edward Sapir in language, culture and personality (pp. 160166). Berkeley: University of California Press. (Originally published in 1929).
     ■ Scardmalia, M., & C. Bereiter (1992). Literate expertise. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.
     ■ Schafer, R. (1954). Psychoanalytic interpretation in Rorschach testing. New York: Grune & Stratten.
     ■ Schank, R. C. (1973). Identification of conceptualizations underlying natural language. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 187-248). San Francisco: W. H. Freeman.
     ■ Schank, R. C. (1976). The role of memory in language processing. In C. N. Cofer (Ed.), The structure of human memory. (pp. 162-189) San Francisco: W. H. Freeman.
     ■ Schank, R. C. (1986). Explanation patterns: Understanding mechanically and creatively. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Schank, R. C., & R. P. Abelson (1977). Scripts, plans, goals, and understanding. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ SchroЁdinger, E. (1951). Science and humanism. Cambridge: Cambridge University Press.
     ■ Searle, J. R. (1981a). Minds, brains, and programs. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 282-306). Cambridge, MA: MIT Press.
     ■ Searle, J. R. (1981b). Minds, brains and programs. In D. Hofstadter & D. Dennett (Eds.), The mind's I (pp. 353-373). New York: Basic Books.
     ■ Searle, J. R. (1983). Intentionality. New York: Cambridge University Press.
     ■ Serres, M. (1982). The origin of language: Biology, information theory, and thermodynamics. M. Anderson (Trans.). In J. V. Harari & D. F. Bell (Eds.), Hermes: Literature, science, philosophy (pp. 71-83). Baltimore: Johns Hopkins University Press.
     ■ Simon, H. A. (1966). Scientific discovery and the psychology of problem solving. In R. G. Colodny (Ed.), Mind and cosmos: Essays in contemporary science and philosophy (pp. 22-40). Pittsburgh: University of Pittsburgh Press.
     ■ Simon, H. A. (1979). Models of thought. New Haven, CT: Yale University Press.
     ■ Simon, H. A. (1989). The scientist as a problem solver. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert Simon. Hillsdale, N.J.: Lawrence Erlbaum Associates.
     ■ Simon, H. A., & C. Kaplan (1989). Foundations of cognitive science. In M. Posner (Ed.), Foundations of cognitive science (pp. 1-47). Cambridge, MA: MIT Press.
     ■ Simonton, D. K. (1988). Creativity, leadership and chance. In R. J. Sternberg (Ed.), The nature of creativity. Cambridge: Cambridge University Press.
     ■ Skinner, B. F. (1974). About behaviorism. New York: Knopf.
     ■ Smith, E. E. (1988). Concepts and thought. In J. Sternberg & E. E. Smith (Eds.), The psychology of human thought (pp. 19-49). Cambridge: Cambridge University Press.
     ■ Smith, E. E. (1990). Thinking: Introduction. In D. N. Osherson & E. E. Smith (Eds.), Thinking. An invitation to cognitive science. (Vol. 3, pp. 1-2). Cambridge, MA: MIT Press.
     ■ Socrates. (1958). Meno. In E. H. Warmington & P. O. Rouse (Eds.), Great dialogues of Plato W.H.D. Rouse (Trans.). New York: New American Library. (Original publication date unknown.)
     ■ Solso, R. L. (1974). Theories of retrieval. In R. L. Solso (Ed.), Theories in cognitive psychology. Potomac, MD: Lawrence Erlbaum Associates.
     ■ Spencer, H. (1896). The principles of psychology. New York: Appleton-CenturyCrofts.
     ■ Steiner, G. (1975). After Babel: Aspects of language and translation. New York: Oxford University Press.
     ■ Sternberg, R. J. (1977). Intelligence, information processing, and analogical reasoning. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Sternberg, R. J. (1994). Intelligence. In R. J. Sternberg, Thinking and problem solving. San Diego: Academic Press.
     ■ Sternberg, R. J., & J. E. Davidson (1985). Cognitive development in gifted and talented. In F. D. Horowitz & M. O'Brien (Eds.), The gifted and talented (pp. 103-135). Washington, DC: American Psychological Association.
     ■ Storr, A. (1993). The dynamics of creation. New York: Ballantine Books. (Originally published in 1972.)
     ■ Stumpf, S. E. (1994). Philosophy: History and problems (5th ed.). New York: McGraw-Hill.
     ■ Sulloway, F. J. (1996). Born to rebel: Birth order, family dynamics, and creative lives. New York: Random House/Vintage Books.
     ■ Thorndike, E. L. (1906). Principles of teaching. New York: A. G. Seiler.
     ■ Thorndike, E. L. (1970). Animal intelligence: Experimental studies. Darien, CT: Hafner Publishing Co. (Originally published in 1911.)
     ■ Titchener, E. B. (1910). A textbook of psychology. New York: Macmillan.
     ■ Titchener, E. B. (1914). A primer of psychology. New York: Macmillan.
     ■ Toulmin, S. (1957). The philosophy of science. London: Hutchinson.
     ■ Tulving, E. (1972). Episodic and semantic memory. In E. Tulving & W. Donaldson (Eds.), Organisation of memory. London: Academic Press.
     ■ Turing, A. (1946). In B. E. Carpenter & R. W. Doran (Eds.), ACE reports of 1946 and other papers. Cambridge, MA: MIT Press.
     ■ Turkle, S. (1984). Computers and the second self: Computers and the human spirit. New York: Simon & Schuster.
     ■ Tyler, S. A. (1978). The said and the unsaid: Mind, meaning, and culture. New York: Academic Press.
     ■ van Heijenoort (Ed.) (1967). From Frege to Goedel. Cambridge: Harvard University Press.
     ■ Varela, F. J. (1984). The creative circle: Sketches on the natural history of circularity. In P. Watzlawick (Ed.), The invented reality (pp. 309-324). New York: W. W. Norton.
     ■ Voltaire (1961). On the Penseґs of M. Pascal. In Philosophical letters (pp. 119-146). E. Dilworth (Trans.). Indianapolis: Bobbs-Merrill.
     ■ Wagman, M. (1997a). Cognitive science and the symbolic operations of human and artificial intelligence: Theory and research into the intellective processes. Westport, CT: Praeger.
     ■ Wagman, M. (1997b). The general unified theory of intelligence: Central conceptions and specific application to domains of cognitive science. Westport, CT: Praeger.
     ■ Wagman, M. (1998a). Cognitive science and the mind- body problem: From philosophy to psychology to artificial intelligence to imaging of the brain. Westport, CT: Praeger.
     ■ Wagman, M. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. Westport, CT: Praeger.
     ■ Wall, R. (1972). Introduction to mathematical linguistics. Englewood Cliffs, NJ: Prentice-Hall.
     ■ Wallas, G. (1926). The Art of Thought. New York: Harcourt, Brace & Co.
     ■ Wason, P. (1977). Self contradictions. In P. Johnson-Laird & P. Wason (Eds.), Thinking: Readings in cognitive science. Cambridge: Cambridge University Press.
     ■ Wason, P. C., & P. N. Johnson-Laird. (1972). Psychology of reasoning: Structure and content. Cambridge, MA: Harvard University Press.
     ■ Watson, J. (1930). Behaviorism. New York: W. W. Norton.
     ■ Watzlawick, P. (1984). Epilogue. In P. Watzlawick (Ed.), The invented reality. New York: W. W. Norton, 1984.
     ■ Weinberg, S. (1977). The first three minutes: A modern view of the origin of the uni verse. New York: Basic Books.
     ■ Weisberg, R. W. (1986). Creativity: Genius and other myths. New York: W. H. Freeman.
     ■ Weizenbaum, J. (1976). Computer power and human reason: From judgment to cal culation. San Francisco: W. H. Freeman.
     ■ Wertheimer, M. (1945). Productive thinking. New York: Harper & Bros.
     ■ Whitehead, A. N. (1925). Science and the modern world. New York: Macmillan.
     ■ Whorf, B. L. (1956). In J. B. Carroll (Ed.), Language, thought and reality: Selected writings of Benjamin Lee Whorf. Cambridge, MA: MIT Press.
     ■ Whyte, L. L. (1962). The unconscious before Freud. New York: Anchor Books.
     ■ Wiener, N. (1954). The human use of human beings. Boston: Houghton Mifflin.
     ■ Wiener, N. (1964). God & Golem, Inc.: A comment on certain points where cybernetics impinges on religion. Cambridge, MA: MIT Press.
     ■ Winograd, T. (1972). Understanding natural language. New York: Academic Press.
     ■ Winston, P. H. (1987). Artificial intelligence: A perspective. In E. L. Grimson & R. S. Patil (Eds.), AI in the 1980s and beyond (pp. 1-12). Cambridge, MA: MIT Press.
     ■ Winston, P. H. (Ed.) (1975). The psychology of computer vision. New York: McGrawHill.
     ■ Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.
     ■ Wittgenstein, L. (1958). The blue and brown books. New York: Harper Colophon.
     ■ Woods, W. A. (1975). What's in a link: Foundations for semantic networks. In D. G. Bobrow & A. Collins (Eds.), Representations and understanding: Studies in cognitive science (pp. 35-84). New York: Academic Press.
     ■ Woodworth, R. S. (1938). Experimental psychology. New York: Holt; London: Methuen (1939).
     ■ Wundt, W. (1904). Principles of physiological psychology (Vol. 1). E. B. Titchener (Trans.). New York: Macmillan.
     ■ Wundt, W. (1907). Lectures on human and animal psychology. J. E. Creighton & E. B. Titchener (Trans.). New York: Macmillan.
     ■ Young, J. Z. (1978). Programs of the brain. New York: Oxford University Press.
     ■ Ziman, J. (1978). Reliable knowledge: An exploration of the grounds for belief in science. Cambridge: Cambridge University Press.

    Historical dictionary of quotations in cognitive science > Bibliography

  • 52 метод

    approach, device, manner, mean, method, mode, practice, procedure, system, technique, technology, theory, way
    * * *
    ме́тод м.
    method; procedure; technique
    агрегатнопото́чный ме́тод — conveyor-type production [production-line] method
    аксиомати́ческий ме́тод — axiomatic [postulational] method
    ме́тод амплиту́дного ана́лиза — kick-sorting method
    анаглифи́ческий ме́тод картогр.anaglyphic(al) method
    ме́тод аналити́ческой вста́вки топ. — cantilever extension, cantilever (strip) triangulation
    ме́тод быстре́йшего спу́ска стат.steepest descent method
    вариацио́нный ме́тод — variational method
    ме́тод Верне́йля радиоVerneuil method
    весово́й ме́тод — gravimetric method
    ме́тод ветве́й и грани́ц киб.branch and bound method
    ме́тод взба́лтывания — shake method
    визуа́льный ме́тод — visual method
    ме́тод возду́шной прое́кции — aero-projection method
    ме́тод враще́ния — method of revolution
    ме́тод вреза́ния — plunge-cut method
    ме́тод вре́мени пролё́та — time-of-flight method
    вре́мя-и́мпульсный ме́тод ( преобразования аналоговой информации в дискретную) — pulse-counting method (of analog-to-digital conversion)
    ме́тод встре́чного фрезерова́ния — conventional [cut-up] milling method
    ме́тод вы́бега эл.retardation method
    ме́тод вымета́ния мат.sweep(ing)-out method
    ме́тод гармони́ческого бала́нса киб., автмт.describing function method
    ме́тод гармони́ческой линеариза́ции — describing function method
    голографи́ческий ме́тод — holographic method
    гравиметри́ческий ме́тод — gravimetric(al) method
    графи́ческий ме́тод — graphical method
    ме́тод графи́ческого трансформи́рования топ.grid method
    графоаналити́ческий ме́тод — semigraphical method
    ме́тод гра́фов мат.graph method
    группово́й ме́тод ( в высокочастотной телефонии) — grouped-frequency basis
    систе́ма рабо́тает групповы́м ме́тодом — the system operates on the grouped-frequency basis
    ме́тод двух ре́ек геод., топ. — two-staff [two-base] method
    ме́тод двух узло́в ( в анализе электрических цепей) — nodal-pair method
    ме́тод дирекцио́нных угло́в геод.method of gisements
    ме́тод запа́са про́чности ( в расчетах конструкции) — load factor method
    ме́тод засе́чек афс.resection method
    ме́тод зерка́льных изображе́ний эл.method of electrical images
    ме́тод зо́нной пла́вки ( в производстве монокристаллов полупроводниковых материалов) — floating-zone method, floating-zone technique
    ме́тод избы́точных концентра́ций ( для опробования гипотетического механизма реакции) — isolation method (of the testing the rate equations)
    ме́тод измере́ния, абсолю́тный — absolute [fundamental] method of measurement
    ме́тод измере́ния, конта́ктный — contact method of measurement
    ме́тод измере́ния, ко́свенный — indirect method of measurement
    ме́тод измере́ния, относи́тельный — relative method of measurement
    ме́тод измере́ния по то́чкам — point-by-point method
    ме́тод измере́ния, прямо́й — direct method of measurement
    ме́тод измере́ния угло́в по аэросни́мкам — photogoniometric method
    ме́тод изображе́ний эл. — method of images, image method
    ме́тод изото́пных индика́торов — tracer method
    иммерсио́нный ме́тод — immersion method
    и́мпульсный ме́тод свар.pulse method
    ме́тод и́мпульсов — momentum-transfer method
    ме́тод инве́рсии — inversion method
    и́ндексно-после́довательный ме́тод до́ступа, основно́й вчт. — basic indexed sequential access method, BISAM
    и́ндексно-после́довательный ме́тод до́ступа с очередя́ми вчт. — queued indexed sequential access method, BISAM
    интерференцио́нный ме́тод — interferometric method
    ме́тод испыта́ний — testing procedure, testing method
    ме́тод испыта́ний, кисло́тный — acid test
    ме́тод испыта́ний, пане́льный — panel-spalling test
    ме́тод испыта́тельной строки́ тлв.test-line method
    ме́тод иссле́дований напряже́ний, опти́ческий — optical stress analysis
    ме́тод истече́ния — efflux method
    ме́тод итера́ции — iteration method, iteration technique
    ме́тод итера́ции приво́дит к сходи́мости проце́сса — the iteration (process) converges to a solution
    ме́тод итера́ции приво́дит к (бы́строй или ме́дленной) сходи́мости проце́сса — the iteration (process) converges quickly or slowly
    ме́тод картосоставле́ния — map-compilation [plotting] method
    ме́тод кача́ющегося криста́лла ( в рентгеноструктурном анализе) — rotating-crystal method
    ка́чественный ме́тод — qualitative method
    кессо́нный ме́тод — caisson method
    коли́чественный ме́тод — quantitative method
    колориметри́ческий ме́тод — colorimetric method
    ме́тод кольца́ и ша́ра — ball-and-ring method
    комплексометри́ческий ме́тод ( для определения жёсткости воды) — complexometric method
    кондуктометри́ческий ме́тод — conductance-measuring method
    ме́тод коне́чных ра́зностей — finite difference method
    ме́тод консерви́рования — curing method
    ме́тод контро́ля, дифференци́рованный — differential control method
    ме́тод контро́ля ка́чества — quality control method
    ме́тод ко́нтурных то́ков — mesh-current [loop] method
    ме́тод ко́нуса — cone method
    ме́тод корнево́го годо́графа киб., автмт.root-locus method
    корреляцио́нный ме́тод — correlation method
    ко́свенный ме́тод — indirect method
    ме́тод кра́сок ( в дефектоскопии) — dye-penetrant method
    лаборато́рный ме́тод — laboratory method
    ме́тод ла́ковых покры́тий ( в сопротивлении материалов) — brittle-varnish method
    ме́тод лине́йной интерполя́ции — method of proportional parts
    ме́тод Ляпуно́ва аргд.Lyapunov's method
    ме́тод магни́тного порошка́ ( в дефектоскопии) — magnetic particle [magnetic powder] method
    магни́тно-люминесце́нтный ме́тод ( в дефектоскопии) — fluorescent magnetic particle method
    ме́тод ма́лого пара́метра киб., автмт. — perturbation theory, perturbation method
    ме́тод ма́лых возмуще́ний аргд.perturbation method
    ме́тод мгнове́нной равносигна́льной зо́ны рлк. — simultaneous lobing [monopulse] method
    ме́тод механи́ческой обрабо́тки — machining method
    ме́тод ме́ченых а́томов — tracer method
    ме́тод микрометри́рования — micrometer method
    ме́тод мно́жителей Лагра́нжа — Lagrangian multiplier method, Lagrange's method of undetermined multipliers
    ме́тод моме́нтных площаде́й мех.area moment method
    ме́тод Мо́нте-Ка́рло мат.Monte Carlo method
    ме́тод навига́ции, дальноме́рный ( пересечение двух окружностей) — rho-rho [r-r] navigation
    ме́тод навига́ции, угломе́рный ( пересечение двух линий пеленга) — theta-theta [q-q] navigation
    ме́тод наиме́ньших квадра́тов — method of least squares, least-squares technique
    ме́тод наискоре́йшего спу́ска мат.method of steepest descent
    ме́тод нака́чки ( лазера) — pumping [excitation] method
    ме́тод накопле́ния яд. физ. — “backing-space” method
    ме́тод наложе́ния — method of superposition
    ме́тод напыле́ния — evaporation technique
    ме́тод нару́жных заря́дов горн.adobe blasting method
    ме́тод незави́симых стереопа́р топ.method of independent image pairs
    ненулево́й ме́тод — deflection method
    ме́тод неопределё́нных мно́жителей Лагра́нжа — Lagrangian multiplier method, Lagrange's method of undetermined multipliers
    ме́тод неподви́жных то́чек — method of fixed points
    неразруша́ющий ме́тод — non-destructive method, non-destructive testing
    нерекурси́вный ме́тод — non-recursive method
    нето́чный ме́тод — inexact method
    нефелометри́ческий ме́тод — nephelometric method
    ме́тод нивели́рования по частя́м — method of fraction levelling
    нулево́й ме́тод — null [zero(-deflection) ] method
    ме́тод нулевы́х бие́ний — zero-beat method
    ме́тод нулевы́х то́чек — neutral-points method
    ме́тод обеспе́чения надё́жности — reliability method
    ме́тод обрабо́тки — processing [working, tooling] method
    ме́тод обра́тной простра́нственной засе́чки топ.method of pyramid
    обра́тно-ступе́нчатый ме́тод свар.step-back method
    ме́тод объединё́нного а́тома — associate atom method
    объекти́вный ме́тод — objective method
    объё́мный ме́тод — volumetric method
    ме́тод одного́ отсчё́та ( преобразование непрерывной информации в дискретную) — the total value method (of analog-to-digital conversion)
    окисли́тельно-восстанови́тельный ме́тод — redox method
    опера́торный ме́тод — operational method
    ме́тод определе́ния ме́ста, дальноме́рно-пеленгацио́нный ( пересечение прямой и окружности) — rho-theta [r-q] fixing
    ме́тод определе́ния ме́ста, дальноме́рный ( пересечение двух окружностей) — rho-rho [r-r] fixing
    ме́тод определе́ния ме́ста, пеленгацио́нный ( пересечение двух линий пеленга) — theta-theta [q-q] fixing
    ме́тод определе́ния отбе́ливаемости и цве́тности ма́сел — bleach-and-colour method
    ме́тод определе́ния положе́ния ли́нии, двукра́тный геод.double-line method
    ме́тод опти́ческой корреля́ции — optical correlation technique
    ме́тод осажде́ния — sedimentation method
    ме́тод осо́бых возмуще́ний аргд.singular perturbation method
    ме́тод осредне́ния — averaging [smoothing] method
    ме́тод отбо́ра проб — sampling method, sampling technique
    ме́тод отклоне́ния — deflection method
    ме́тод отопле́ния метал.fuel practice
    ме́тод отраже́ния — reflection method
    ме́тод отражё́нных и́мпульсов — pulse-echo method
    ме́тод отыска́ния произво́дной, непосре́дственный — delta method
    ме́тод па́дающего те́ла — falling body method
    ме́тод парамагни́тного резона́нса — paramagnetic-resonance method
    ме́тод пе́рвого приближе́ния — first approximation method
    ме́тод перева́ла мат.saddle-point method
    ме́тод перено́са коли́чества движе́ния аргд.momentum-transfer method
    ме́тод перераспределе́ния моме́нтов ( в расчёте конструкций) — moment distribution method
    ме́тод пересека́ющихся луче́й — crossed beam method
    ме́тод перехо́дного состоя́ния ( в аналитической химии) — transition state method
    ме́тод перпендикуля́ров — offset method
    ме́тод перспекти́вных се́ток топ.grid method
    ме́тод пескова́ния с.-х.sanding method
    пикнометри́ческий ме́тод — bottle method
    ме́тод площаде́й физ.area method
    ме́тод повторе́ний геод. — method of reiteration, repetition method
    ме́тод подбо́ра — trial-and-error [cut-and-try] method
    ме́тод подо́бия — similitude method
    ме́тод подориенти́рования топ.setting on points of control
    ме́тод по́лной деформа́ции — total-strain method
    ме́тод полови́нных отклоне́ний — half-deflection method
    ме́тод положе́ния геод. — method of bearings, method of gisements
    полуколи́чественный ме́тод — semiquantitative method
    ме́тод поля́рных координа́т — polar method
    ме́тод попу́тного фрезерова́ния — climb [cut-down] milling method
    порошко́вый ме́тод ( в рентгеноструктурном анализе) — powder [Debye-Scherer-Hull] method
    ме́тод посе́ва — seeding technique
    ме́тод после́довательного счё́та ( преобразования аналоговой информации в дискретную) — incremental method (of analog-to-digital conversion)
    ме́тод после́довательных исключе́ний — successive exclusion method
    ме́тод после́довательных подстано́вок — method of successive substitution, substitution process
    ме́тод после́довательных попра́вок — successive correction method
    ме́тод после́довательных приближе́ний — successive approximation method
    ме́тод после́довательных элимина́ций — method of exhaustion
    ме́тод послесплавно́й диффу́зии полупр.post-alloy-diffusion technique
    потенциометри́ческий компенсацио́нный ме́тод — potentiometric method
    пото́чно-конве́йерный ме́тод — flow-line conveyor method
    пото́чный ме́тод — straight-line flow method
    ме́тод прерыва́ний ( для измерения скорости света) — chopped-beam method
    приближё́нный ме́тод — approximate method
    ме́тод проб и оши́бок — trial-and-error [cut-and-try] method
    ме́тод программи́рующих програ́мм — programming program method
    ме́тод продолже́ния топ.setting on points on control
    ме́тод проекти́рования, моде́льно-маке́тный — model-and-mock-up method of design
    ме́тод простра́нственного коди́рования ( преобразования аналоговой информации в дискретную) — coded pattern method (OF analog-to-digital conversion)
    ме́тод простра́нственной самофикса́ции — self-fixation space method
    прямо́й ме́тод — direct method
    ме́тод псевдослуча́йных чи́сел — pseudorandom number method
    ме́тод равносигна́льной зо́ны рлк. — lobing, beam [lobe] switching
    ме́тод равносигна́льной зо́ны, мгнове́нный рлк. — simultaneous lobing, monopulse
    ме́тод ра́вных высо́т геод.equal-altitude method
    ме́тод ра́вных деформа́ций ( в проектировании бетонных конструкций) — equal-strain method
    ме́тод ра́вных отклоне́ний — equal-deflection method
    радиацио́нный ме́тод — radiation method
    ме́тод радиоавтогра́фии — radioautograph technique
    ме́тод радиоакти́вных индика́торов — tracer method
    радиометри́ческий ме́тод — radiometric method
    ме́тод разбавле́ния — dilution method
    ме́тод разделе́ния тлв.separation method
    ме́тод разделе́ния переме́нных — method of separation of variables
    ме́тод разли́вки метал. — teeming [pouring, casting] practice
    ме́тод разме́рностей — dimensional method
    ра́зностный ме́тод — difference method
    ме́тод разруша́ющей нагру́зки — load-factor method
    разруша́ющий ме́тод — destructive check
    ме́тод рассе́яния Рэле́я — Rayleigh scattering method
    ме́тод ра́стра тлв.grid method
    ме́тод ра́стрового скани́рования — raster-scan method
    ме́тод расчё́та по допусти́мым нагру́зкам — working stress design [WSD] method
    ме́тод расчё́та по разруша́ющим нагру́зкам стр. — ultimate-strength design [USD] method
    ме́тод расчё́та при по́мощи про́бной нагру́зки стр.trial-load method
    ме́тод расчё́та, упру́гий стр.elastic method
    резона́нсный ме́тод — resonance method
    ме́тод реитера́ций геод. — method of reiteration, repetition method
    рентгенострукту́рный ме́тод — X-ray diffraction method
    ме́тод реше́ния зада́чи о четвё́ртой то́чке геод.three-point method
    ме́тод решета́ мат.sieve method
    ру́порно-ли́нзовый ме́тод радиоhorn-and-lens method
    ме́тод самоторможе́ния — retardation method
    ме́тод сви́лей — schlieren technique, schlieren method
    ме́тод сдви́нутого сигна́ла — offset-signal method
    ме́тод секу́щих — secant method
    ме́тод се́рого кли́на физ.gray-wedge method
    ме́тод се́ток мат., вчт.net(-point) method
    ме́тод сече́ний ( в расчёте напряжений в фермах) — method of sections
    символи́ческий ме́тод — method of complex numbers
    ме́тод симметри́чных составля́ющих — method of symmetrical components, symmetrical component method
    ме́тод синхро́нного накопле́ния — synchronous storage method
    ме́тод скани́рования полосо́й — single-line-scan television method
    ме́тод скани́рования пятно́м — spot-scan photomultiplier method
    ме́тод смеще́ния отде́льных узло́в стр.method of separate joint displacement
    ме́тод совпаде́ний — coincidence method
    ме́тод сосредото́ченных пара́метров — lumped-parameter method
    ме́тод спада́ния заря́да — fall-of-charge method
    спектроскопи́ческий ме́тод — spectroscopic method
    ме́тод спира́льного скани́рования — spiral-scan method
    ме́тод сплавле́ния — fusion method
    ме́тод сплошны́х сред ( в моделировании) — continuous field analog technique
    ме́тод сре́дних квадра́тов — midsquare method
    статисти́ческий ме́тод — statistical technique
    статисти́ческий ме́тод оце́нки — statistical estimation
    ме́тод статисти́ческих испыта́ний — Monte Carlo method
    стробоголографи́ческий ме́тод — strobo-holographic method
    стробоскопи́ческий ме́тод — stroboscopic method
    стру́йный ме́тод метал.jet test
    ступе́нчатый ме́тод ( сварки или сверления) — step-by-step method
    субъекти́вный ме́тод — subjective method
    ме́тод сухо́го озоле́ния — dry combustion method
    ме́тод сухо́го порошка́ ( в дефектоскопии) — dry method
    счё́тно-и́мпульсный ме́тод — pulse-counting method
    табли́чный ме́тод — diagram method
    телевизио́нный ме́тод электро́нной аэросъё́мки — television method
    телевизио́нный ме́тод электро́нной фотограмме́трии — television method
    тенево́й ме́тод — (direct-)shadow method
    термоанемометри́ческий ме́тод — hot-wire method
    топологи́ческий ме́тод — topological method
    ме́тод то́чечного вплавле́ния полупр.dot alloying method
    то́чный ме́тод — exact [precision] method
    ме́тод травле́ния, гидри́дный — sodium hydride descaling
    ме́тод трапецеида́льных характери́стик — Floyd's trapezoidal approximation method, approximation procedure
    ме́тод трёх баз геод.three-base method
    ме́тод триангуля́ции — triangulation method
    ме́тод трилатера́ции геод.trilateration method
    ме́тод углово́й деформа́ции — slope-deflection method
    ме́тод углово́й модуля́ции — angular modulation method
    ме́тод удаля́емого трафаре́та полупр.rejection mask method
    ме́тод удаля́емой ма́ски рад.rejection mask method
    ме́тод узло́в ( в расчёте напряжении в фермах) — method of joints
    ме́тод узловы́х потенциа́лов — node-voltage method
    ме́тод ура́внивания по направле́ниям геод. — method of directions, direction method
    ме́тод ура́внивания по угла́м геод. — method of angles, angle method
    ме́тод уравнове́шивания — balancing method
    ме́тод усредне́ния — averaging [smoothing] method
    ме́тод фа́зового контра́ста ( в микроскопии) — phase contrast
    наблюда́ть ме́тодом фа́зового контра́ста — examine [study] by phase contrast
    ме́тод фа́зовой пло́скости — phase plane method
    ме́тод факториза́ции — factorization method
    флотацио́нный ме́тод — floatation method
    ме́тод формирова́ния сигна́лов цве́тности тлв.colour-processing method
    ме́тод центрифуги́рования — centrifuge method
    цепно́й ме́тод астр.chain method
    чи́сленный ме́тод — numerical method
    ме́тод Чохра́льского ( в выращивании полупроводниковых кристаллов) — Czochralski method, vertical pulling technique
    ме́тод Шо́ра — Shore hardness
    щупово́й ме́тод — stylus method
    ме́тод электрофоре́за — electrophoretic method
    эмпири́ческий ме́тод — trial-and-error [cut-and-try] method
    энергети́ческий ме́тод
    1. косм. energy method
    2. стр. strain energy method
    ме́тод энергети́ческого бала́нса — power balance method
    эргати́ческий ме́тод ( при общении человека с ЭВМ) — interactive [conversational] technique

    Русско-английский политехнический словарь > метод

  • 53 основная метаболическая панель химических анализов крови, состоящая из семи анализов

    Medicine: CHEM-7 (= "SMA-7" (Sequential Multiple Analysis-7).)

    Универсальный русско-английский словарь > основная метаболическая панель химических анализов крови, состоящая из семи анализов

  • 54 последовательный анализ Вальда

    Универсальный русско-английский словарь > последовательный анализ Вальда

  • 55 последовательный анализ звука

    Универсальный русско-английский словарь > последовательный анализ звука

  • 56 автоматизация

    * * *
    автоматиза́ция ж.
    automation, automatization, automatic control
    автоматиза́ция информацио́нных рабо́т — automatic data processing, data processing automation
    автоматиза́ция иссле́дований режи́мов энергосисте́м — computer-assisted power-system analysis
    ко́мплексная автоматиза́ция — integrated automation
    по́лная автоматиза́ция — full [complete] automation
    после́довательная автоматиза́ция — sequential automation
    автоматиза́ция программи́рования — automatic programming
    автоматиза́ция проекти́рования — computer-aided design, design automation
    автоматиза́ция произво́дства — automatic production
    промы́шленная автоматиза́ция
    1. ( применение автоматики) industrial automation
    2. ( автоматическое управление) (automatic) industrial control
    автоматиза́ция управле́нческих рабо́т — management automation
    части́чная автоматиза́ция — partial [non-integrated] automation
    * * *

    Русско-английский политехнический словарь > автоматизация

  • 57 алгоритм

    algorithm, device, procedure, scheme, strategy, technique
    * * *
    алгори́тм м.
    algorithm
    конструи́ровать алгори́тм — synthesize an algorithm
    по ( такому-то) [m2]алгори́тму — by a (so and so) program [algorithm]
    распи́сывать алгори́тм в … (напр. команды) — break down an algorithm in … (e. g., commands)

    (с)формулировать алгори́тм — develop an algorithm
    алгори́тм выполне́ния — execution [performance] algorithm
    вычисли́тельный алгори́тм — computational algorithm
    декоди́рующий алгори́тм — decoding algorithm
    алгори́тм деле́ния Эвкли́да — Euclidean division algorithm
    детермини́рованный алгори́тм — deterministic algorithm
    алгори́тм Ква́йна — Quine algorithm
    логи́ческий алгори́тм — logical algorithm
    лока́льный алгори́тм — local algorithm
    алгори́тм Мак-Кла́ски — McCluskey algorithm
    норма́льный алгори́тм — normal algorithm
    обобщё́нный алгори́тм — generalized algorithm
    алгори́тм обуче́ния распознава́ния — pattern-recognition algorithm
    алгори́тм перево́да
    1. ( до ввода в машину) translation algorithm
    2. ( в ходе работы программы) interpretation algorithm
    после́довательный алгори́тм — sequential algorithm
    алгори́тм По́ста — Post algorithm
    по́стовский алгори́тм см. алгоритм Поста
    алгори́тм приведе́ния — reduction algorithm
    алгори́тм распределе́ния — scheduling algorithm
    рекурси́вный алгори́тм — recursive algorithm
    самоизменя́ющийся алгори́тм — self-adaptive algorithm
    алгори́тм сложе́ния — addition algorithm
    алгори́тм с непо́лной па́мятью — partial-memory algorithm
    алгори́тм составле́ния гра́фика или расписа́ния — scheduling algorithm
    алгори́тм с по́лной па́мятью — full-memory algorithm
    табли́чный алгори́тм — table algorithm
    алгори́тм трансля́ции — compilation [translation] algorithm
    алгори́тм Тью́ринга — Turing algorithm
    универса́льный алгори́тм — universal algorithm
    алгори́тм управле́ния — control algorithm
    алгори́тм управля́ющего устро́йства — controller algorithm
    челно́чный алгори́тм — shuttle algorithm
    алгори́тм чи́сленного ана́лиза — numerical analysis algorithm
    алгори́тм Эвкли́да — Euclidean algorithm
    эквивале́нтные алгори́тмы — equivalent algorithms
    элемента́рный алгори́тм — elementary algorithm

    Русско-английский политехнический словарь > алгоритм

  • 58 контроль

    control, check, checking, checkout, exercising, gaging, inspection, measurement, measuring, test, testing, prove-out, sense, sensing, supervision, surveillance, verification, watch
    * * *
    контро́ль м.
    ( периодический) check(ing), control, inspection; ( обычно непрерывный) monitoring
    автомати́ческий контро́ль маш. — automatic gauging, automatic inspection
    акти́вный контро́ль — in-process [on-line] gauging
    визуа́льный контро́ль ( качества) — visual inspection
    входно́й контро́ль ( потребителем от других предприятий) — incoming control
    вы́борочный контро́ль — random inspection, spot check, sampling
    вы́борочный, двукра́тный контро́ль — double sampling
    вы́борочный, многокра́тный контро́ль — multiple sampling
    вы́борочный, однокра́тный контро́ль — single sampling
    вы́борочный, после́довательный контро́ль — sequential test
    градацио́нный контро́ль полигр.tonal gradation control
    дистанцио́нный контро́ль — remote monitoring
    дозиметри́ческий контро́ль — radiation monitoring; (помещений, местности) radiation survey
    дозиметри́ческий, индивидуа́льный контро́ль — personal monitoring
    контро́ль излуче́ния анте́нны — radiation monitoring
    контро́ль ка́чества (проду́кции) — quality control, product inspection
    контро́ль материа́лов вихревы́ми то́ками ( в дефектоскопии) — eddy-current test(ing), eddy-current inspection
    контро́ль материа́лов вихревы́ми то́ками с накладно́й кату́шкой ( в дефектоскопии) — solenoid-coil eddy-current test(ing)
    контро́ль материа́лов вихревы́ми то́ками с проходно́й кату́шкой ( в дефектоскопии) — inside-coil eddy-current test(ing)
    контро́ль материа́лов га́мма-просве́чиванием ( в дефектоскопии) — gamma-ray radiography, gamma-ray inspection
    контро́ль материа́лов, люминесце́нтный ( в дефектоскопии) — fluorescent-penetrant inspection
    контро́ль материа́лов, магни́тно-порошко́вый ( в дефектоскопии) — magnetic-particle test(ing), magnetic-particle inspection
    контро́ль материа́лов, магнитографи́ческий ( в дефектоскопии) — magnetic-tape test(ing), magnetic-tape inspection
    контро́ль материа́лов ме́тодом кра́сок ( в дефектоскопии) — dye-penetrant test(ing)
    контро́ль материа́лов, неразруша́ющий ( в дефектоскопии) — nondestructive (materials) testing
    контро́ль материа́лов рентгенопросве́чиванием ( в дефектоскопии) — X-ray test(ing), X-ray inspection
    контро́ль материа́лов, ультразвуково́й ( в дефектоскопии) — ultrasonic test(ing), ultrasonic inspection
    контро́ль материа́лов, цветно́й ( в дефектоскопии) — dye-penetrant test(ing)
    контро́ль материа́лов, феррозо́ндовый ( в дефектоскопии) — probe-coil magnetic-field test(ing)
    обега́ющий контро́ль — scanning-type data logging (system)
    обра́тный контро́ль свз.revertive monitoring
    контро́ль оши́бок — error control, error check
    контро́ль переда́чи, печа́тный свз.home copy
    рабо́тать [передава́ть] без печа́тного контро́ля переда́чи — send blind, send with the home copy suppressed
    контро́ль переполне́ния вчт.overflow check
    контро́ль перфока́рт на просве́т — sight check of punch (ed) cards
    контро́ль перфока́рт, счё́тный контро́ль — punch(ed)-card verification by batch totals
    пооперацио́нный контро́ль маш. — step-by-step [operation] checking
    контро́ль пра́вильности реше́ния или результа́тов — check on the solution or results
    приё́мочный контро́ль — acceptance inspection, acceptance testing
    програ́ммный контро́ль ( с помощью программы) — program(me) check
    пылево́й контро́ль горн.dust control
    контро́ль радиоакти́вности — radiation [radioactivity] monitoring
    контро́ль радиоакти́вности атмосфе́ры — air monitoring
    контро́ль разме́ров — gauging, dimension inspection
    контро́ль систе́мы (в це́лом) — system check
    сплошно́й контро́ль — complete control
    техни́ческий контро́ль — technical control
    контро́ль технологи́ческого проце́сса — process monitoring
    контро́ль хими́ческого соста́ва — chemical analysis inspection
    контро́ль ЭВМ [цифрово́й вычисли́тельной маши́ны], аппара́т(ур)ный — automatic [built-in, hardware] check
    контро́ль частоты́ — frequency monitoring
    эксплуатацио́нный контро́ль — field inspection
    контро́ль ЭВМ, логи́ческий — logical check
    контро́ль ЭВМ по запрещё́нным комбина́циям — forbidden-combination [forbidden-character] check
    контро́ль ЭВМ по избы́точности — redundancy check
    контро́ль ЭВМ по мо́дулю — N mod(ulo) N check
    контро́ль ЭВМ по оста́тку — residue check
    контро́ль ЭВМ по су́мме — sum check
    контро́ль ЭВМ по чё́тности — (even-)parity [(odd-)parity, odd-even] check
    контро́ль ЭВМ, програ́ммный — programmed check
    контро́ль ЦВМ, профилакти́ческий — marginal check
    контро́ль ЦВМ сумми́рованием — summation check
    контро́ль ЦВМ, схе́мный — automatic [built-in, hardware] check
    контро́ль ЦВМ, теку́щий — current [running] check
    контро́ль электро́нной аппарату́ры, диагности́ческий — marginal check(ing), marginal testing

    Русско-английский политехнический словарь > контроль

  • 59 сетевой анализ

    Описывает несколько методов, используемых при планировании и контроле комплексных проектов, состоящих из набора взаимосвязанных деятельностей. Последовательные взаимосвязи между этими деятельностями представляются сеткой из линий и кругов. — It aims to describe a number of techniques used to plan and control complex projects consisting of a set of interrelated activities. The sequential relationships between these activities are represented by a network of lines and circles.

    Russian-English Dictionary "Microeconomics" > сетевой анализ

  • 60 new product development

    Mktg
    the processes involved in getting a new product or service to market. The traditional product development cycle, the stage-gate model, embraces the conception, generation, analysis, development, testing, marketing, and commercialization of new products or services. Alternative models of new product development fall into two broad categories: accelerating time to market models and integrated implementation models. These strive to achieve both flexibility and acceleration of development. All activities such as design, production planning, and test marketing are performed in parallel rather than going through a sequential linear progression.
    Abbr. NPD

    The ultimate business dictionary > new product development

См. также в других словарях:

  • Sequential analysis — In statistics, sequential analysis or sequential hypothesis testing is statistical analysis where the sample size is not fixed in advance. Instead data is evaluated as it is collected, and further sampling is stopped in accordance with a pre… …   Wikipedia

  • sequential analysis — Statistics. the analysis of data obtained from a sample the size of which is not fixed in advance, but is selected based on the outcome of the sampling as it proceeds. * * * …   Universalium

  • sequential analysis — Statistics. the analysis of data obtained from a sample the size of which is not fixed in advance, but is selected based on the outcome of the sampling as it proceeds …   Useful english dictionary

  • sequential analysis — a statistical technique in which the sample size is not fixed in advance; rather, sampling is stopped as soon as significant results are observed. The criteria for stopping the trials at each sample size are set so that the overall probability… …   Medical dictionary

  • Analysis of variance — In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of… …   Wikipedia

  • Sequential probability ratio test — The sequential probability ratio test (SPRT) is a specific sequential hypothesis test, developed by Abraham Wald. [cite journal first=Abraham last=Wald title=Sequential Tests of Statistical Hypotheses journal=Annals of Mathematical Statistics… …   Wikipedia

  • Sequential estimation — In statistics, sequential estimation refers to estimation methods in sequential analysis where the sample size is not fixed in advance. Instead, data is evaluated as it is collected, and further sampling is stopped in accordance with a pre… …   Wikipedia

  • Sequential Probability Ratio Test — Inhaltsverzeichnis 1 Einleitung 2 Geschichte 3 Definition 3.1 Die Entscheidungsgrenzen 4 Beispiel …   Deutsch Wikipedia

  • Sequential hermaphroditism — (called dichogamy in botany) is a type of hermaphroditism that occurs in many fish, gastropods and plants. Here, the individual is born one sex and changes sex at some point in their life. They can change from a male to female (protandry), or… …   Wikipedia

  • Sequential dynamical system — Sequential dynamical systems (SDSs) are a class of discrete dynamical systems which generalize many aspects of systems such as cellular automata, and provide a framework for studying dynamical processes over graphs. SDSs are used in the analysis… …   Wikipedia

  • Analysis — A psychology term for processes used to gain understanding of complex emotional or behavioral issues. * * * 1. The breaking up of a chemical compound or mixture into simpler elements; a process by which the composition of a substance is… …   Medical dictionary

Поделиться ссылкой на выделенное

Прямая ссылка:
Нажмите правой клавишей мыши и выберите «Копировать ссылку»