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1 development test model
Military: DTMУниверсальный русско-английский словарь > development test model
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2 new product development
Mktgthe 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 -
3 образец для испытаний в процессе разработки
Military: development test modelУниверсальный русско-английский словарь > образец для испытаний в процессе разработки
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4 опытный образец
1. development type2. developmental prototype3. test model4. prototype5. trial designпробная конструкция; опытный образец — trial design
6. pilot model7. preproduction model -
5 опытный образец
1) General subject: development type, developmental prototype2) Naval: experimental prototype3) Military: Y (ЛА), development prototype, pilot item, testbed (англ. термин взят из репортажа агентства Thomson Reuters; контекстуальный перевод)4) Engineering: engineering sample, experimental model, pilot model, preproduction model, prototype, prototype machine, prototype model, prototype preproduction model, prototype unit, test sample5) Agriculture: check sample, control sample, proof sample6) Economy: first article, pilot sample, test pattern7) Accounting: prototype model (напр. машины)8) Automobile industry: trial model9) Electronics: test model10) Information technology: trial design11) Oil: test piece, test specimen12) Astronautics: functional equipment, predictable pattern13) Advertising: pilot sample (изделия)14) Business: certificate model15) EBRD: industrial prototype16) Automation: R and D model, engineering prototype, preproduction prototype, production prototype, prototype sample18) Chemical weapons: test prototype -
6 экспериментальная модель
1) Military: breadboard2) Engineering: experimental model, preproduction model, prototype model, research model3) Automobile industry: test model, trial model4) Oil: pilot model5) Advertising: development model6) Automation: test pattern7) Quality control: breadboard model, experimental setup, test setup8) Makarov: developmental modelУниверсальный русско-английский словарь > экспериментальная модель
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7 модель
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8 динамометрическое испытание
1. текст. tensile test2. маш. dynamometer testконтрольное испытание — routine test; check test
испытание на вязкость — toughness test; viscosity test
профессиональные испытания, проверка мастерства — trade test
лабораторные испытания; лабораторная проба — laboratory test
Русско-английский большой базовый словарь > динамометрическое испытание
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9 приемочные испытания
1. acceptance trials2. official testпрофессиональные испытания, проверка мастерства — trade test
лабораторные испытания; лабораторная проба — laboratory test
3. reception test4. verification and validationРусско-английский большой базовый словарь > приемочные испытания
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10 заводские испытания
1. factory testing2. factory testпрофессиональные испытания, проверка мастерства — trade test
лабораторные испытания; лабораторная проба — laboratory test
3. production testРусско-английский большой базовый словарь > заводские испытания
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11 нагрузочные испытания
1. stress testпрофессиональные испытания, проверка мастерства — trade test
лабораторные испытания; лабораторная проба — laboratory test
2. volume testРусско-английский большой базовый словарь > нагрузочные испытания
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12 ресурсные испытания
1. life testпрофессиональные испытания, проверка мастерства — trade test
лабораторные испытания; лабораторная проба — laboratory test
2. longevity testРусско-английский большой базовый словарь > ресурсные испытания
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13 контрольное испытание
1. check test2. monitoring testsпрофессиональные испытания, проверка мастерства — trade test
лабораторные испытания; лабораторная проба — laboratory test
Авиация и космонавтика. Русско-английский словарь > контрольное испытание
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14 запретит ядерные испытания
1. ban nuclear tests2. banning nuclear testsпрофессиональные испытания, проверка мастерства — trade test
лабораторные испытания; лабораторная проба — laboratory test
Русско-английский военно-политический словарь > запретит ядерные испытания
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15 экспериментальный образец
1) Economy: experimental sample2) Automobile industry: experimental model3) Information technology: research prototype4) Advertising: development model, experimental prototype5) Patents: operative embodiment7) Automation: R and D model, developmental prototype, engineering prototype, preproduction prototype, production prototype, test model8) Arms production: (опытный) experimental model9) Makarov: brassboardУниверсальный русско-английский словарь > экспериментальный образец
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16 опытный
опытная авиационный заводaircraft development plantопытная модельtest modelопытная эксплуатацияattempted operationопытный вариант воздушного судна1. aircraft prototype2. experimental aircraft 3. preproduction aircraft 4. prototype aircraft -
17 análisis
m. s.&pl.1 analysis, inspection, investigation, examination.2 analysis, breakdown, dissection.3 assay.* * *1 analysis\análisis de orina urine testanálisis de sangre blood test* * *noun m.1) analysis2) test* * *SM INV1) (=examen) analysis; [detallado] breakdown2) (Econ)3) (Med, Quím, Fís)4) (Ling) analysis, parsing5) (Inform)* * ** * *= analysis [analyses, -pl.], assessment, probing, review, breakdown, calibration, close look, post mortem [postmortem], overview, academic study, surveying, testing.Ex. The operation of investigating a whole with the aim of finding out its essential parts and their relationship to each other is known as analysis.Ex. However, although the subject may be the primary consideration in the assessment of relevance, subject is not the only factor that determines whether a user wishes to be alerted to the existence of a document.Ex. Counselling requires much more time and in-depth probing, although it can at one extreme cover simply the act of lending a sympathetic ear to clients who, in externalizing their problems, may thus be better able to face them and arrive at a solution.Ex. The review is supported by a complete list of LIPs completed or in progess at Aug 88, followed by references to their reports.Ex. When she arrived at her boss's office at the appointed time, she learned why she had been asked for the breakdown of her day's activities.Ex. This requires careful calibration of reader response and the use of as many quantitative indices as possible.Ex. The article has the title 'A close look at Dewey 18: alive and well and living in Albany'.Ex. Survey research is used to determine what kind of post mortem appraisals companies undertake concerning their abandoned information systems development projects.Ex. Figure 16 on page 24 gives an overview of searching.Ex. Cyberculture is emerging as an interdisciplinary subject of academic study.Ex. The author describes one effort made to counter this trend, through the surveying of the records of a library and the identification of materials to be preserved.Ex. Attention has focussed on the labelling of foodstuffs and the testing and approval of food additives.----* análisis bibliométrico = bibliometric analysis.* análisis cientométrico = scientometric analysis.* análisis cinematográfico = film analysis.* análisis cluster = cluster analysis.* análisis conceptual = conceptual analysis.* análisis crítico = critical eye, critical analysis.* análisis cualitativo = qualitative analysis.* análisis cuantitativo = quantitative analysis.* análisis de agrupamiento por cocitas = cocitation cluster analysis.* análisis de áreas del conocimiento = domain analysis.* análisis de citas = citation analysis.* análisis de cocitas = cocitation analysis.* análisis de cocitas de autores = author co-citation analysis.* análisis de componentes principales = principal component(s) analysis.* análisis de contabilidad = financial analysis.* análisis de contenido = content analysis, conceptual analysis.* análisis de coocurrencia de términos = co-word analysis.* análisis de correlación = correlation analysis.* análisis de costes = cost analysis.* análisis de costes-beneficios = cost-benefit analysis.* análisis de costos-beneficios = cost-benefit analysis.* análisis de dominios del conocimiento = domain analysis.* análisis de errores = error analysis.* análisis de grupo = cohort analysis.* análisis de laboratorio = laboratory analysis.* análisis de la colección = collection analysis.* análisis de la coocurrencia de palabras = co-word analysis.* análisis del contenido = document analysis, subject analysis, content analysis.* análisis del discurso = discourse analysis.* análisis del rendimiento = performance analysis.* análisis de necesidades = needs analysis.* análisis de regresión múltiple = multiple regression analysis.* análisis de rendimiento = performance test.* análisis de riesgos = risk analysis, risk assessment, risk evaluation.* análisis de sangre = blood test.* análisis de sistemas = system(s) analysis.* análisis detallado = close examination.* análisis de tendencias = trend analysis.* análisis de una muestra representativa = cross-sectional analysis.* análisis de varianza (ANOVA) = analysis of variance (ANOVA).* análisis diagnóstico = diagnostic test.* análisis discriminante = discriminant analysis.* análisis documental = document analysis, subject analysis.* análisis escalar = scaling analysis.* análisis escalar de Guttman = Guttman scale analysis.* análisis espacial = spatial analysis.* análisis estadístico = statistical analysis.* análisis estadístico multivariante = multivariate statistical analysis.* análisis facetado = facet analysis.* análisis factorial = factor analysis.* análisis formal de documentos = markup [mark-up].* análisis léxico = lexical analysis.* análisis literario = literary analysis.* análisis longitudinal = longitudinal analysis.* análisis más detallado = close attention.* análisis más minucioso = closer examination.* análisis minucioso = scrutiny, dissection, cross examination.* análisis morfológico = morphological analysis.* análisis multidimensional de clases = multidimensional cluster analysis.* análisis multidimensional escalar = multidimensional scaling analysis.* análisis multivariable = multivariate analysis, multivariate test.* análisis multivariante = multivariate analysis, multivariate test.* análisis municioso = close examination.* análisis por facetas = facet analysis.* análisis por género = gender analysis.* análisis químico = chemical analysis.* análisis sintáctico = syntactical analysis.* análisis topográfico = surveying.* análisis univariante = univariate test.* bloque funcional de análisis de contenido = subject analysis block.* centro de análisis de la información = information analysis centre.* lenguaje para el análisis formal de documentos web = markup language.* modelo de análisis de costes = cost model.* nuevo análisis = reanalysis [reanalyses, -pl.].* programa de análisis de ficheros de transacciones = log analysis software.* realizar un análisis = conduct + analysis.* realizar un análisis factorial = factor-analyse [factor-analyze, -USA].* segundo análisis = re-examination [reexamination].* SGML (Lenguaje Estándar Universal para el Análisis Formal de Documentos) = SGML (Standard Generalised Markup Language).* sistema para el análisis formal de documentos = markup code.* sistema para el análisis formal de documentos web = markup system.* superar un análisis minucioso = stand up to + scrutiny, stand up to + examination.* unidad de análisis = unit of study.* XML (Lenguaje Extensible para el Análisis de Documentos) = XML (Extensible Markup Language).* * ** * *= analysis [analyses, -pl.], assessment, probing, review, breakdown, calibration, close look, post mortem [postmortem], overview, academic study, surveying, testing.Ex: The operation of investigating a whole with the aim of finding out its essential parts and their relationship to each other is known as analysis.
Ex: However, although the subject may be the primary consideration in the assessment of relevance, subject is not the only factor that determines whether a user wishes to be alerted to the existence of a document.Ex: Counselling requires much more time and in-depth probing, although it can at one extreme cover simply the act of lending a sympathetic ear to clients who, in externalizing their problems, may thus be better able to face them and arrive at a solution.Ex: The review is supported by a complete list of LIPs completed or in progess at Aug 88, followed by references to their reports.Ex: When she arrived at her boss's office at the appointed time, she learned why she had been asked for the breakdown of her day's activities.Ex: This requires careful calibration of reader response and the use of as many quantitative indices as possible.Ex: The article has the title 'A close look at Dewey 18: alive and well and living in Albany'.Ex: Survey research is used to determine what kind of post mortem appraisals companies undertake concerning their abandoned information systems development projects.Ex: Figure 16 on page 24 gives an overview of searching.Ex: Cyberculture is emerging as an interdisciplinary subject of academic study.Ex: The author describes one effort made to counter this trend, through the surveying of the records of a library and the identification of materials to be preserved.Ex: Attention has focussed on the labelling of foodstuffs and the testing and approval of food additives.* análisis bibliométrico = bibliometric analysis.* análisis cientométrico = scientometric analysis.* análisis cinematográfico = film analysis.* análisis cluster = cluster analysis.* análisis conceptual = conceptual analysis.* análisis crítico = critical eye, critical analysis.* análisis cualitativo = qualitative analysis.* análisis cuantitativo = quantitative analysis.* análisis de agrupamiento por cocitas = cocitation cluster analysis.* análisis de áreas del conocimiento = domain analysis.* análisis de citas = citation analysis.* análisis de cocitas = cocitation analysis.* análisis de cocitas de autores = author co-citation analysis.* análisis de componentes principales = principal component(s) analysis.* análisis de contabilidad = financial analysis.* análisis de contenido = content analysis, conceptual analysis.* análisis de coocurrencia de términos = co-word analysis.* análisis de correlación = correlation analysis.* análisis de costes = cost analysis.* análisis de costes-beneficios = cost-benefit analysis.* análisis de costos-beneficios = cost-benefit analysis.* análisis de dominios del conocimiento = domain analysis.* análisis de errores = error analysis.* análisis de grupo = cohort analysis.* análisis de laboratorio = laboratory analysis.* análisis de la colección = collection analysis.* análisis de la coocurrencia de palabras = co-word analysis.* análisis del contenido = document analysis, subject analysis, content analysis.* análisis del discurso = discourse analysis.* análisis del rendimiento = performance analysis.* análisis de necesidades = needs analysis.* análisis de regresión múltiple = multiple regression analysis.* análisis de rendimiento = performance test.* análisis de riesgos = risk analysis, risk assessment, risk evaluation.* análisis de sangre = blood test.* análisis de sistemas = system(s) analysis.* análisis detallado = close examination.* análisis de tendencias = trend analysis.* análisis de una muestra representativa = cross-sectional analysis.* análisis de varianza (ANOVA) = analysis of variance (ANOVA).* análisis diagnóstico = diagnostic test.* análisis discriminante = discriminant analysis.* análisis documental = document analysis, subject analysis.* análisis escalar = scaling analysis.* análisis escalar de Guttman = Guttman scale analysis.* análisis espacial = spatial analysis.* análisis estadístico = statistical analysis.* análisis estadístico multivariante = multivariate statistical analysis.* análisis facetado = facet analysis.* análisis factorial = factor analysis.* análisis formal de documentos = markup [mark-up].* análisis léxico = lexical analysis.* análisis literario = literary analysis.* análisis longitudinal = longitudinal analysis.* análisis más detallado = close attention.* análisis más minucioso = closer examination.* análisis minucioso = scrutiny, dissection, cross examination.* análisis morfológico = morphological analysis.* análisis multidimensional de clases = multidimensional cluster analysis.* análisis multidimensional escalar = multidimensional scaling analysis.* análisis multivariable = multivariate analysis, multivariate test.* análisis multivariante = multivariate analysis, multivariate test.* análisis municioso = close examination.* análisis por facetas = facet analysis.* análisis por género = gender analysis.* análisis químico = chemical analysis.* análisis sintáctico = syntactical analysis.* análisis topográfico = surveying.* análisis univariante = univariate test.* bloque funcional de análisis de contenido = subject analysis block.* centro de análisis de la información = information analysis centre.* lenguaje para el análisis formal de documentos web = markup language.* modelo de análisis de costes = cost model.* nuevo análisis = reanalysis [reanalyses, -pl.].* programa de análisis de ficheros de transacciones = log analysis software.* realizar un análisis = conduct + analysis.* realizar un análisis factorial = factor-analyse [factor-analyze, -USA].* segundo análisis = re-examination [reexamination].* SGML (Lenguaje Estándar Universal para el Análisis Formal de Documentos) = SGML (Standard Generalised Markup Language).* sistema para el análisis formal de documentos = markup code.* sistema para el análisis formal de documentos web = markup system.* superar un análisis minucioso = stand up to + scrutiny, stand up to + examination.* unidad de análisis = unit of study.* XML (Lenguaje Extensible para el Análisis de Documentos) = XML (Extensible Markup Language).* * *(pl análisis)A (de una situación, un tema) analysishizo un análisis del problema he analyzed o carried out an analysis of the problemCompuesto:cost-benefit analysishacerse un análisis de orina/sangre to have a urine/blood testCompuestos:clinical analysisspectrum analysisorganic analysisC ( Ling) analysisCompuestos:discourse analysisgrammatical analysissyntactic analysisD ( Mat) analysis, calculusE ( Psic) analysis* * *
análisis sustantivo masculino (pl
hacerse un análisis de sangre to have a blood test
análisis m inv
1 analysis
2 Med test: tengo que hacerme unos análisis, I have to have some tests done
' análisis' also found in these entries:
Spanish:
detenida
- detenido
- factorial
- microscópica
- microscópico
- negativa
- negativo
- ponderación
- positiva
- positivo
- sintética
- sintético
- citología
- comentario
- concienzudo
- dar
- estudio
- lúcido
English:
analysis
- blood test
- breakdown
- test
- bear
- blood
- positive
- right
* * *análisis nm inv1. [de situación, problema] analysis;hacer un análisis de algo to analyse sthCom análisis del camino crítico critical path analysis; Esp Econ análisis coste-beneficio cost-benefit analysis; Econ análisis de costo-beneficio cost-benefit analysis;análisis cualitativo qualitative analysis;análisis cuantitativo quantitative analysis;Ling análisis del discurso discourse analysis;análisis de mercado market analysis2. [médico] analysisanálisis clínico (clinical) test;análisis de orina urine test;análisis químico chemical analysis;análisis de sangre blood test3. Gram analysisanálisis gramatical sentence analysis;análisis sintáctico syntactic analysis4. Informát analysisanálisis de sistemas systems analysis5. Mat analysis6. Psi analysis* * *m inv analysis* * *análisis nm: analysis* * * -
18 испытание
assay, examination, test, testing, trial* * *испыта́ние с.1. ( единичный акт) test; особ. мор. trial; ( совокупность действий) testingв слу́чае успе́шного результа́та испыта́ний … — if the test is satisfactory …выде́рживать испыта́ние — pass [stand] a testдоводи́ть испыта́ние до разруше́ния (образца́) — carry a test to failure [destruction] (of a specimen)доводи́ть испыта́ние до разры́ва образца́ — carry a test to rupture of a specimenне пройти́ испыта́ния — fail the testобъяви́ть (результа́ты) испыта́ния недействи́тельными — invalidate a testподверга́ть испыта́нию — test, put to test, try out, subject to [apply] a testпредставля́ть на испыта́ния — present for testsпроводи́ть испыта́ние — carry out [run] a testуспе́шно проходи́ть испыта́ние — pass the test to satisfaction2. ( в теории вероятностей) trial, run, experimentв k-м испыта́нии — in the kth trialиспыта́ние заверша́ется неуда́чей — a trial failsиспыта́ние заверша́ется успе́хом — a trial succeedsиспыта́ние мо́жет име́ть оди́н (и то́лько оди́н) исхо́д — a trial may have one (and only one) outcomeарбитра́жное испыта́ние — arbitration testаттестацио́нные испыта́ния — certification testбала́нсовое испыта́ние тепл. — heat losses test; boiler efficiency testиспыта́ние без нагру́зки — no-load testиспыта́ние без разруше́ния ( образца) — non-destructive testбиологи́ческое испыта́ние — biological testбуксиро́вочное испыта́ние ( в опытовом бассейне) мор. — towing testиспыта́ние в аэродинами́ческой трубе́ — (wind-)tunnel testиспыта́ние в аэродинами́ческой трубе́ крупномасшта́бной моде́ли — large-scale wind-tunnel test(ing)испыта́ние в ва́кууме — vacuum test(ing)испыта́ние в непреры́вном режи́ме — continuous testиспыта́ние в полевы́х усло́виях — field testиспыта́ние в пото́ке — flow testиспыта́ние в преры́вистом режи́ме — intermittent testиспыта́ние в свобо́дном паде́нии — free-fall test(ing)испыта́ние в свобо́дном полё́те — free-flight test(ing)испыта́ние в солево́м тума́не — salt-mist testвыборо́чное испыта́ние — random [percent] testиспыта́ние в эксплуатацио́нных усло́виях — field (service) testгаранти́йное испыта́ние — warranty testгидравли́ческое испыта́ние (ёмкостей, труб и т. п.) — hydrostatic testгосуда́рственные испыта́ния — state testing, governmental testsиспыта́ние грохоче́нием — screen testиспыта́ние дви́гателя на эффекти́вную тормозну́ю мо́щность — brake horse-power testдиагности́ческое испыта́ние вчт., элк. — marginal check, marginal testдиагности́ческое испыта́ние выявля́ет возмо́жные неиспра́вности до их наступле́ния — marginal testing locates defects before they become seriousдиагности́ческое испыта́ние прово́дится в ра́мках регла́ментных рабо́т — marginal testing is a form of preventive maintenanceдинами́ческое испыта́ние1. ( как вид механического испытания материалов) dynamic (impact) test2. ( в условиях меняющихся параметров) радио, элк. dynamic test, dynamic runдинамометри́ческое испыта́ние1. текст. tensile test2. маш. dynamometer testдли́тельное испыта́ние — long-run [long-duration, long-time, long-term] testдово́дочное испыта́ние — development(al) testиспыта́ние дождева́нием текст. — spray testдоро́жное испыта́ние — (on-the-)road testзаводски́е испыта́ния — factory [shop] tests, tests at the manufacturer's worksиспыта́ние запи́ленного образца́ — notch-bar testи́мпульсное испыта́ние — impulse testи́мпульсное испыта́ние без пробо́я — impulse-withstand [withstand-impulse] testинерцио́нное испыта́ние мор. — stopping [stopway] testиссле́довательские испыта́ния — investigation testsкалориметри́ческое испыта́ние — calorimeter testклимати́ческие испыта́ния — environmental testsиспыта́ние ко́жи — leather control, leather examinationколориметри́ческое испыта́ние — colorimetric testко́мплексное испыта́ние — comprehensive testконтро́льное испыта́ние — (производится на каждом изделии для контроля качества в отличие от типового испытания) routine test; ( поверочное) check testиспыта́ние краси́теля на вса́сывание волокно́м — dye suction testиспыта́ние краси́теля на раствори́мость — dye solubility testиспыта́ние кра́ски на высыха́ние — paint drying testиспыта́ние кра́ски на истира́ние — paint rub testиспыта́ние кра́ски на сма́зывание — paint smear testкратковре́менное испыта́ние — short-term [short-time] testиспыта́ние купели́рованием метал. — cupel(ling) testлаборато́рное испыта́ние — laboratory testлё́тное испыта́ние — flight test(ing)манё́вренное испыта́ние мор. — manoeuvrability [manoeuvring] trialиспыта́ние ма́сел на коксу́емость — oil carbonization testиспыта́ние ма́сел на разжиже́ние — oil dilution testиспыта́ние материа́лов — material(s) test(ing)испыта́ние материа́лов, неразруша́ющее — non-destructive material(s) testingиспыта́ние материа́лов, огнево́е — test of materials for fire-proofness or for fire-resistanceиспыта́ние материа́лов, разруша́ющее — destructive material(s) testingиспыта́ние ме́тодом интерференцио́нных поло́с — schlieren testиспыта́ние ме́тодом модели́рования (на ЭВМ) — simulation testиспыта́ние ме́тодом торцо́вой зака́лки — end quench testиспыта́ние ме́тодом (физи́ческого) модели́рования — (physical) model test(ing)испыта́ние ме́тодом экстра́кции (портландцеме́нта) — extraction test (on portland cement)механи́ческие испыта́ния — mechanical testingморехо́дное испыта́ние — seakeeping [seaworthiness] trialиспыта́ние на адеква́тность (напр. уравнения регрессии) стат. — test for goodness of fit (e. g., of a regression equation)испыта́ние на артикуля́цию свз. — articulation testиспыта́ние на баллисти́ческом динамо́метре текст. — ballistic testиспыта́ние на вибропро́чность — vibration-survival testиспыта́ние на виброусто́йчивость — vibration-resistance testиспыта́ние на водоотта́лкиваемость текст. — water repulsion testиспыта́ние на возду́шную зака́ливаемость — air-hardenability testиспыта́ние на воспламеня́емость — flammability testиспыта́ние на выжива́ние — survival testиспыта́ние на выно́сливость — endurance testиспыта́ние на вы́тяжку — cupping testиспыта́ние на вы́тяжку по Ольсе́ну — Olsen cupping testиспыта́ние на вы́тяжку по Эриксе́ну — Erichsen cupping testиспыта́ние на вя́зкость — ( твёрдых материалов) toughness test; ( жидкостей) viscosity testиспыта́ние на гермети́чность — leakage [tightness] testиспыта́ние на гидрата́цию — slaking testиспыта́ние на глубо́кую вы́тяжку — deep-drawing testиспыта́ние на гнилосто́йкость текст. — soil burial testиспыта́ние на горя́чее круче́ние — hot twist testиспыта́ние на горя́чий изги́б — hot bend(ing) testиспыта́ние на горя́чую оса́дку — hot upset testиспыта́ние на долгове́чность — durability [service-life] testиспыта́ние надре́занного образца́ — notched-bar [notched-specimen] testиспыта́ние на жидкотеку́честь — fluidity testиспыта́ние на заги́б — bend-over testиспыта́ние на зади́р — galling testиспыта́ние на замора́живание — freezing testиспыта́ние на замора́живание и отта́ивание — freeze-thaw testиспыта́ние на за́пуск холо́дного дви́гателя — cold start testназе́мное испыта́ние ав., косм. — ground test(ing)испыта́ние на изги́б — bend(ing) testиспыта́ние на изги́б с переги́бом — bending-and-unbending [alternating bending] testиспыта́ние на изло́м1. fracture test2. текст. folding testиспыта́ние на изно́с — wear(ing) testиспыта́ние на интенси́вность отка́зов — failure-rate testиспыта́ние на испаря́емость — evaporation testиспыта́ние на истира́ние — abrasion testиспыта́ние на истира́ние при смя́тии текст. — crease-abrasion testиспыта́ние на кип кож. — boiling (water) testиспыта́ние на коро́ткое замыка́ние — short-circuit testиспыта́ние на корро́зию — corrosion testиспыта́ние на кпд — efficiency testиспыта́ние на круче́ние — torsion test; twist(ing) testиспыта́ние на лаборато́рном маке́те элк. — breadboard test(ing)испыта́ние на лакообразова́ние — lacquer testиспыта́ние нали́вом мор. — floading testиспыта́ние на ли́пкость кож. — tackiness testиспыта́ние на ло́мкость — friability testиспыта́ние на ме́сте устано́вки — site test(ing)испыта́ние на ме́сте эксплуата́ции — site test(ing)испыта́ние на микротвё́рдость — microhardness testиспыта́ние на многокра́тное растяже́ние текст. — repeated stress testиспыта́ние на моде́ли — model [mock-up, dummy] testиспыта́ние на морозосто́йкость — freezing [subzero] testиспыта́ние на нагре́в1. ( электродвигателей) heat run2. ( материалов) heat(ing) testиспыта́ние на надё́жность — reliability testиспыта́ние на надры́в — tear testиспыта́ние на обледене́ние — icing [ice-formation] testиспыта́ние на обраба́тываемость ре́занием — machinability [machining] testиспыта́ние на обслу́живание ( жил кабелей) — tinning testиспыта́ние на огнесто́йкость — ( материалов) fire resistance test; ( тканей) burning testиспыта́ние на окисля́емость — oxidation testиспыта́ние на оса́дку — jumping-up [upsetting] testиспыта́ние на отборто́вку — flanging testиспыта́ние на отка́з — fault testingиспыта́ние на перегру́зку — overload testиспыта́ние на пла́вкость — melting [fusion] testиспыта́ние на пло́тность (соединений, швов и т. п.) — leak testingиспыта́ние на повто́рное растяже́ние — repeated tension testиспыта́ние на поглоще́ние — absorption testиспыта́ние на ползу́честь — creep testиспыта́ние на ползу́честь до разры́ва — rupture [stress-rupture, creep-rupture] testиспыта́ние на по́лный расхо́д то́плива ав. — fuel run-out testиспыта́ние на принуди́тельный отка́з — forced-failure testиспыта́ние на проги́б — flexure testиспыта́ние на продо́льный изги́б — buckling testиспыта́ние на прока́ливаемость — hardenability testиспыта́ние на прохожде́ние вы́зова тлф. — signalling [ringing] testиспыта́ние на про́чность — strength testиспыта́ние на про́чность к декатиро́вке текст. — ironing testиспыта́ние на про́чность к изги́бу текст. — deflection testиспыта́ние на про́чность кипяче́нием текст. — boiling [boil-off] testиспыта́ние на про́чность окра́ски текст. — fastness testиспыта́ние на про́чность прода́вливанием текст. — bursting(-strength) testиспыта́ние на про́чность шва текст. — seam-slippage testиспыта́ние на разбо́рчивость ре́чи тлв. — ( без учёта смысла) articulation test; ( с учётом смысла) intelligibility testиспыта́ние на разда́вливание — crushing testиспыта́ние на разда́чу ( труб) — flare testиспыта́ние на разма́лываемость — grindability testиспыта́ние на разры́в1. мех. break(ing) test2. текст. breaking [strength] testиспыта́ние на разры́в поло́ски тка́ни — grab [strip] testиспыта́ние на раска́лывание — splitting testиспыта́ние на расплю́щивание — flattening testиспыта́ние на рассла́ивание кож. — peel [separation] testиспыта́ние на рассыпа́ние литейн. — collapsibility testиспыта́ние на раствори́мость — solubility testиспыта́ние на растре́скивание — cracking testиспыта́ние на растяже́ние — tensile [tension] test(ing)испыта́ние на растяже́ние при переме́нной нагру́зке — varying-rate tensile [tension] testиспыта́ние на расхо́д то́плива ав. — consumption testиспыта́ние на релакса́цию (напряже́ний) — (stress-)relaxation testиспыта́ние на сва́риваемость1. метал. weldability test2. кож. boiling (water) testиспыта́ние на свойла́чиваемость текст. — milling testиспыта́ние на сгора́емость — combustibility testиспыта́ние на сжа́тие — compression testиспыта́ние на скоростны́е показа́тели авто — performance [speed] testиспыта́ние на ско́рость старе́ния элк. — degradation rate testиспыта́ние на сохраня́емость — storage testиспыта́ние на спека́емость — sintering testиспыта́ние на срез — shearing testиспыта́ние на срок слу́жбы — life test(ing)испыта́ние на срок хране́ния — shelf-life testиспыта́ние на старе́ние — ageing testиспыта́ние на сто́йкость к микрооргани́змам текст. — pure-culture testиспыта́ние на сто́йкость к пле́сени и грибка́м ( электрического и электронного оборудования) — mould-growth testиспыта́ние на сто́йкость к пятнообра́зованию текст. — spotting testиспыта́ние на сцепле́ние — bond [adhesion] testиспыта́ние на сцепле́ние отры́вом стр. — strip-off adhesion testиспыта́ние на твё́рдость — hardness test(ing) (Примечание. Отдельные виды испыта́ний на твё́рдость см. в статье определе́ние твё́рдости.)испыта́ние на твё́рдость опило́вкой — file testиспыта́ние на твё́рдость, стати́ческое — static hardness testиспыта́ние на техни́ческий преде́л (напр. прочности) — proof testиспыта́ние на то́пливную экономи́чность — fuel-consumption testиспыта́ние на транспорта́бельность — transportability testиспыта́ние на трещинообразова́ние — cracking testиспыта́ние на тропи́ческие усло́вия — tropical-exposure testнату́рное испыта́ние — full-scale testнату́рное, фрагмента́рное испыта́ние — partial system test, physical [test] simulationиспыта́ние на уда́рную вя́зкость — impact testиспыта́ние на уда́рную вя́зкость по Изо́ду — Izod [cantilever-beam] impact testиспыта́ние на уда́рную вя́зкость по Шарпи́ — Sharpy [simple-beam] impact testиспыта́ние на уплотне́ние гру́нта — compaction [consolidation] testиспыта́ние на упру́гость1. elasticity test2. текст. extension [recovery, restorability] testиспыта́ние на уста́лость — fatigue testиспыта́ние на уста́лость при изги́бе — fatigue bending [endurance bending, repeated bending-stress] testиспыта́ние на уста́лость при растяже́нии — fatigue tension testиспыта́ние на фла́ттер — flutter test(ing)испыта́ние на холо́дную уса́дку ( шерсти) — cold testиспыта́ние на холосто́м ходу́ — no-load testиспыта́ние на центрифу́ге — centrifuge test(ing)испыта́ние на эксплуатацио́нные показа́тели — performance testingиспыта́ние на эласти́чность текст. — elasticity testиспыта́ние на электри́ческую про́чность под напряже́нием, вызыва́ющим пробо́й — disruptive-discharge test, break-down test, puncture testиспыта́ние на электри́ческую про́чность под напряже́нием ни́же пробивно́го — withstand-voltage testнеразруша́ющее испыта́ние — non-destructive test(ing)испыта́ние одино́чной ни́ти текст. — single-end [single-strand] testиспыта́ние отму́чиванием — decantation testиспыта́ние па́смой текст. — skein testиспыта́ние пая́льной ла́мпой — blow-pipe testперви́чное испыта́ние — primary testиспыта́ние перего́нкой — distillation testповто́рное испыта́ние — duplicate testиспыта́ние погруже́нием — immersion testиспыта́ние под давле́нием — pressure testиспыта́ние под нагру́зкой — load(ing) testиспыта́ние под напряже́нием эл. — voltage test (on a cable)полево́е испыта́ние — field testиспыта́ние по сокращё́нной програ́мме — abbreviated testing, abbreviated testsпредвари́тельное испыта́ние — preliminary testпредмонта́жное испыта́ние — pre-installation testпредпусково́е испыта́ние — pre-operational testиспыта́ние при высо́кой температу́ре — high-temperature testприё́мо-сда́точные испыта́ния — approval testsприё́мочные испыта́ния — (official) acceptance testsиспыта́ние при заме́дленном хо́де проце́сса — slow testиспыта́ние при ко́мнатной температу́ре — room-temperature testиспыта́ние при ни́зкой температу́ре — subzero [low-temperature, cold] testиспыта́ние при постоя́нной нагру́зке — steady [constant] load testиспыта́ние при стати́ческой нагру́зке — static testиспыта́ние при цикли́ческих нагру́зках — cyclic load testиспыта́ние прозво́нкой [прозва́ниванием] жарг., эл. — continuity test(ing)испыта́ние прока́ткой на клин — taper rolling testпромы́шленные испыта́ния — commercial [production] testsпропульси́вное испыта́ние мор. — propulsion trialиспыта́ние прямы́м окисле́нием — direct oxidation testразго́нное испыта́ние — overspeed testиспыта́ние раке́тного дви́гателя, огнево́е — test (bed) firingрекурси́вное испыта́ние — life (service) testиспыта́ние сбра́сыванием (напр. кокса, огнеупора) — shatter testиспыта́ние сварно́го соедине́ния — weld testиспыта́ние сварно́го шва — weld testсда́точное испыта́ние мор. — delivery trialсенситометри́ческое испыта́ние кфт. — sensitometric testсклерометри́ческое испыта́ние — scratch(-hardness) testскоростно́е испыта́ние мор. — speed trialсокращё́нное испыта́ние — abbreviated testиспыта́ние с разруше́нием ( образца) — destruction testиспыта́ние сро́стков ( жил кабеля) — joint [splice] testстати́ческое испыта́ние — static testсте́ндовое испыта́ние — bench test; ракет. captive test; мор. testbed trialстопроце́нтное испыта́ние — total-lot [100%] testиспыта́ние с части́чным разруше́нием ( образца) — semi-destructive testтеплово́е испыта́ние — thermal testтехни́ческие испыта́ния — engineering testsиспыта́ние ти́па (проводится в соответствии с требованиями ИКАО при определении полётопригодности данного типа самолёта и выдачи сертификации) ав. — type testтипово́е испыта́ние (испытывается как правило, первый экземпляр данного типа конструкции; проводится по полной и/или расширенной программе, в отличие от контро́льного испыта́ния) — type testиспыта́ние травле́нием — pickle testиспыта́ние тре́нием — friction testтя́говое испыта́ние — pull testуско́ренное испыта́ние — accelerated testфациа́льные испыта́ния горн. — environmental testingфизи́ческие испыта́ния — physical testingиспыта́ние форму́емости — remoulding testхими́ческие испыта́ния — chemical testingходово́е испыта́ние1. авто (on-the-)road test2. мор. performance [sea] trialходово́е, прогресси́вное испыта́ние мор. — standardization trialиспыта́ние холо́дной штампо́вкой — cold-pressing testцикли́ческое испыта́ние — cyclic testиспыта́ние чугуна́ на толщину́ отбелё́нного сло́я — chill testшварто́вное испыта́ние мор. — dock(side) trialэксплуатацио́нные испыта́ния — service tests -
19 модель
analog, (одежды, обуви) design, ( оборудования) dummy, master form, form, ( автомобиля) job, matrix, make, model, sample part, pattern, sample piece, master plate, prototype, sample, shape, simulator, template* * *моде́ль ж.
model; вчт. тж. analogдеформи́ровать моде́ль — strain a modelконструи́ровать моде́ль — construct [build, develop] a modelкорректи́ровать моде́ль — revise a modelустана́вливать соотве́тствие моде́ли (при́нятой гипо́тезе) — test a modelуточня́ть моде́ль — refine a modelформирова́ть моде́ль проце́сса на ана́логовой [цифрово́й] маши́не — develop the problem set-up for simulation on an analog [digital] computerмоде́ль автомоби́ля — automobile modelмоде́ль автомоби́ля, ба́зовая — base (automobile) modelмоде́ль автомоби́ля, перехо́дная — transitional [interim] (automobile) modelана́логовая моде́ль — analogмоде́ль атмосфе́ры — model atmosphereмоде́ль а́тома — atomic modelмоде́ль а́тома, я́дерная — nuclear model of the atomаэроупру́гая моде́ль — elastic modelмоде́ль без дви́гателя косм. — non-burning modelвале́нтно-силова́я моде́ль физ. — valence-force modelвариацио́нная моде́ль — variational modelвероя́тностная моде́ль — stochastic [probabilistic] modelмоде́ль вселе́нной — model universe, world modelгеометри́чески подо́бная моде́ль — geometrically similar modelгиперзвукова́я моде́ль — hypersonic modelгру́бая моде́ль — crude modelдетермини́рованная моде́ль — deterministic modelдинами́ческая моде́ль — dynamic modelдинами́чески подо́бная моде́ль — dynamically similar modelмоде́ль для испыта́ний на фла́ттер — flutter modelмоде́ль для испыта́ний на што́пор — spin modelмоде́ль для испыта́ния в аэродинами́ческой трубе́ — wind tunnel modelмоде́ль для иссле́дований в свобо́дном полё́те — free-flight modelмоде́ль для определе́ния лобово́го сопротивле́ния — drag modelмоде́ль для проду́вок ав. — wind tunnel modelдово́дочная моде́ль — development modelзвё́здная моде́ль — stellar modelзо́нная моде́ль ( твёрдого тела) — band modelмоде́ль ионосфе́ры — ionospheric modelкласси́ческая моде́ль — classical modelколлекти́вная моде́ль ( твёрдого тела) — collective modelкрупномасшта́бная моде́ль — large-scale modelлите́йная моде́ль — (casting) patternконструи́ровать лите́йную моде́ль — design a casting patternотлива́ть по лите́йной моде́ли — cast [pour] against a patternсоединя́ть лите́йную моде́ль на шипа́х — dowel a casting patternлите́йная, воскова́я моде́ль — wax patternлите́йная, выплавля́емая моде́ль — investment patternлите́йная моде́ль из двух часте́й — cope-and-drag patternлите́йная, многоразъё́мная моде́ль — multiple-part patternлите́йная, неразъё́мная моде́ль — unsplit patternлите́йная, однора́зовая моде́ль — one-time patternлите́йная, пустоте́лая моде́ль — hollow patternлите́йная, разъё́мная моде́ль — split patternлите́йная, скеле́тная моде́ль — skeleton patternлите́йная, сло́жная моде́ль — composite patternлите́йная моде́ль с протя́жкой — stripping patternлите́йная моде́ль стояка́ — gate pin, gate stickлите́йная, це́льная моде́ль — unsplit patternлите́йная, чи́стая моде́ль — loose patternмоде́ль ли́тниковой систе́мы — set of gate patternsмоде́ль ма́ссового обслу́живания — queueing modelмасшта́бная моде́ль — scale modelматемати́ческая моде́ль — mathematical modelмоде́ль математи́ческого обеспе́чения — software simulatorма́тричная моде́ль эк. — matrix modelмоде́ль маши́ны, ба́зовая — basic machineмолекуля́рная моде́ль — molecular model, molecular patternнату́рная моде́ль — full-scale modelмоде́ль непрямо́й анало́гии — indirect-analogy [equation-solving] modelогнева́я моде́ль — fire modelо́пытная моде́ль — test [experimental] modelпло́ская моде́ль — two-dimensional [planar] modelпрогнози́рующая моде́ль — predictive modelпростра́нственная моде́ль — three-dimensional modelмоде́ль прямо́й анало́гии — direct-analogy model, analog (model)моде́ль релье́фной ка́рты, негати́вная — negative mouldмоде́ль релье́фной ка́рты, позити́вная — positive mouldсамонастра́ивающаяся моде́ль — self-adjusting modelмоде́ль с дви́гателем косм. — powered modelсетева́я расчё́тная моде́ль — network analyzer, network calculatorсобира́ть сетеву́ю расчё́тную моде́ль — set up a network analyzerмоде́ль сил изображе́ния — image force modelстереоскопи́ческая моде́ль — stereoscopic [space] imageстохасти́ческая моде́ль — stochastic [probabilistic] modelтеорети́ческая моде́ль — theoretical modelтеплова́я моде́ль — heat [thermal] modelтермоупру́гая моде́ль — thermoelastic modelфизи́ческая моде́ль — physical modelэлектри́ческая моде́ль (напр. ракеты) — an electric analogэлектри́ческая, се́точная моде́ль — electric network analogэлектро́нная моде́ль (напр. процесса) — an electronic analogэтало́нная моде́ль — reference model -
20 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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