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1 neurolinguistic programming
Gen Mgtan approach to recognizing, applying, developing, and reproducing behavior, thought processes, and ways of communicating that contribute to success. Neurolinguistic programming was developed by Richard Bandler and John Grinder through their observations of how therapists achieved excellent results with clients. It is popular in the business environment, where its influencing techniques can help organizations implement change initiatives, improve communication and management skills, and develop training techniques.Abbr. NLPThe ultimate business dictionary > neurolinguistic programming
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2 подход к тестированию
Универсальный русско-английский словарь > подход к тестированию
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3 metaprogramación
Ex. A meta-programming approach is applied in which the raw bibliographic material is viewed as a logic programme upon which a 2nd-order logic programme is developed.* * *Ex: A meta-programming approach is applied in which the raw bibliographic material is viewed as a logic programme upon which a 2nd-order logic programme is developed.
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4 de segundo orden
(n.) = minor, second-order [2nd-order]Ex. A study of bibliographic classification could concentrate solely upon the major, and some of the more minor bibliographic classification schemes used today.Ex. A meta-programming approach is applied in which the raw bibliographic material is viewed as a logic programme upon which a 2nd-order logic programme is developed.* * *(n.) = minor, second-order [2nd-order]Ex: A study of bibliographic classification could concentrate solely upon the major, and some of the more minor bibliographic classification schemes used today.
Ex: A meta-programming approach is applied in which the raw bibliographic material is viewed as a logic programme upon which a 2nd-order logic programme is developed. -
5 метод программирования
1) Information technology: programming method, programming approach2) Automation: programming techniqueУниверсальный русско-английский словарь > метод программирования
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6 метод тестирования
1) Construction: test method, testing method2) Perfume: test procedure3) Programming: approach to testing, test techniqueУниверсальный русско-английский словарь > метод тестирования
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7 подход
approach, method of approachиндивидуален подход an individual approachпрограмно-целеви подход икон. programming, planning and budgeting method, съкр. PPB method* * *подхо̀д,м., -и, (два) подхо̀да approach to, method of approach; комплексен \подход integrated approach; \подход към хората the common touch; програмно-целеви \подход икон. programming, planning and budgeting method, съкр. PPB method.* * *1. approach, method of approach 2. индивидуален ПОДХОД an individual approach 3. класов ПОДХОД a class approach 4. правилен ПОДХОД към въпроса a correct/right approach to the problem 5. програмно-целеви ПОДХОД икон. programming, planning and budgeting method, ськр. РРВ method -
8 в контексте представления общего подхода к организации программ
Универсальный русско-английский словарь > в контексте представления общего подхода к организации программ
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9 в контексте представления основного принципа организации программ
Универсальный русско-английский словарь > в контексте представления основного принципа организации программ
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10 виртуальные входы
Programming: virtual inputs (виртуального конечного автомата; см. Modeling software with finite state machines: a practical approach by Ferdinand Wagner et al. (2006)) -
11 виртуальный вход
Programming: virtual input (виртуального конечного автомата; см. Modeling software with finite state machines: a practical approach by Ferdinand Wagner et al. (2006)) -
12 виртуальный выход
Programming: virtual output (виртуального конечного автомата; см. Modeling software with finite state machines: a practical approach by Ferdinand Wagner et al. (2006)) -
13 декларативный подход
Programming: declarative approach (http://www.metalgear.ru/ru/content/rabochie-pravila-sistem-osnovannykh-na-pravilakh и http://ru.wikipedia.org/wiki/Декларативное_программирование)Универсальный русско-английский словарь > декларативный подход
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14 морфологический подход
Programming: morphological approachУниверсальный русско-английский словарь > морфологический подход
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15 онтологический подход
Programming: ontological approach (под онтологией понимается формальное представление множества концептов внутри домена и отношений между этими концептами)Универсальный русско-английский словарь > онтологический подход
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16 профессиональный подход к тестированию
Programming: professional approach to testingУниверсальный русско-английский словарь > профессиональный подход к тестированию
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17 процедурный подход
Programming: procedural approachУниверсальный русско-английский словарь > процедурный подход
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18 структурно-лингвистический подход
Programming: graph grammar-based approachУниверсальный русско-английский словарь > структурно-лингвистический подход
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19 метод
approach, device, manner, mean, method, mode, practice, procedure, system, technique, technology, theory, way* * *ме́тод м.
method; procedure; techniqueагрегатнопото́чный ме́тод — conveyor-type production [production-line] methodаксиомати́ческий ме́тод — axiomatic [postulational] methodме́тод амплиту́дного ана́лиза — kick-sorting methodанаглифи́ческий ме́тод картогр. — anaglyphic(al) methodме́тод аналити́ческой вста́вки топ. — cantilever extension, cantilever (strip) triangulationме́тод быстре́йшего спу́ска стат. — steepest descent methodвариацио́нный ме́тод — variational methodме́тод Верне́йля радио — Verneuil methodвесово́й ме́тод — gravimetric methodме́тод ветве́й и грани́ц киб. — branch and bound methodме́тод взба́лтывания — shake methodвизуа́льный ме́тод — visual methodме́тод возду́шной прое́кции — aero-projection methodме́тод враще́ния — method of revolutionме́тод вреза́ния — plunge-cut methodме́тод вре́мени пролё́та — time-of-flight methodвре́мя-и́мпульсный ме́тод ( преобразования аналоговой информации в дискретную) — pulse-counting method (of analog-to-digital conversion)ме́тод встре́чного фрезерова́ния — conventional [cut-up] milling methodме́тод вы́бега эл. — retardation methodме́тод вымета́ния мат. — sweep(ing)-out methodме́тод гармони́ческого бала́нса киб., автмт. — describing function methodме́тод гармони́ческой линеариза́ции — describing function methodголографи́ческий ме́тод — holographic methodгравиметри́ческий ме́тод — gravimetric(al) methodграфи́ческий ме́тод — graphical methodме́тод графи́ческого трансформи́рования топ. — grid methodграфоаналити́ческий ме́тод — semigraphical methodме́тод гра́фов мат. — graph methodгруппово́й ме́тод ( в высокочастотной телефонии) — grouped-frequency basisсисте́ма рабо́тает групповы́м ме́тодом — the system operates on the grouped-frequency basisме́тод двух ре́ек геод., топ. — two-staff [two-base] methodме́тод двух узло́в ( в анализе электрических цепей) — nodal-pair methodме́тод дирекцио́нных угло́в геод. — method of gisementsме́тод запа́са про́чности ( в расчетах конструкции) — load factor methodме́тод засе́чек афс. — resection methodме́тод зерка́льных изображе́ний эл. — method of electrical imagesме́тод зо́нной пла́вки ( в производстве монокристаллов полупроводниковых материалов) — floating-zone method, floating-zone techniqueме́тод избы́точных концентра́ций ( для опробования гипотетического механизма реакции) — isolation method (of the testing the rate equations)ме́тод измере́ния, абсолю́тный — absolute [fundamental] method of measurementме́тод измере́ния, конта́ктный — contact method of measurementме́тод измере́ния, ко́свенный — indirect method of measurementме́тод измере́ния, относи́тельный — relative method of measurementме́тод измере́ния по то́чкам — point-by-point methodме́тод измере́ния, прямо́й — direct method of measurementме́тод измере́ния угло́в по аэросни́мкам — photogoniometric methodме́тод изображе́ний эл. — method of images, image methodме́тод изото́пных индика́торов — tracer methodиммерсио́нный ме́тод — immersion methodи́мпульсный ме́тод свар. — pulse methodме́тод и́мпульсов — momentum-transfer methodме́тод инве́рсии — inversion methodи́ндексно-после́довательный ме́тод до́ступа, основно́й вчт. — basic indexed sequential access method, BISAMи́ндексно-после́довательный ме́тод до́ступа с очередя́ми вчт. — queued indexed sequential access method, BISAMинтерференцио́нный ме́тод — interferometric methodме́тод испыта́ний — testing procedure, testing methodме́тод испыта́ний, кисло́тный — acid testме́тод испыта́ний, пане́льный — panel-spalling testме́тод испыта́тельной строки́ тлв. — test-line methodме́тод иссле́дований напряже́ний, опти́ческий — optical stress analysisме́тод истече́ния — efflux methodме́тод итера́ции — iteration method, iteration techniqueме́тод итера́ции приво́дит к сходи́мости проце́сса — the iteration (process) converges to a solutionме́тод итера́ции приво́дит к (бы́строй или ме́дленной) сходи́мости проце́сса — the iteration (process) converges quickly or slowlyме́тод картосоставле́ния — map-compilation [plotting] methodме́тод кача́ющегося криста́лла ( в рентгеноструктурном анализе) — rotating-crystal methodка́чественный ме́тод — qualitative methodкессо́нный ме́тод — caisson methodколи́чественный ме́тод — quantitative methodколориметри́ческий ме́тод — colorimetric methodме́тод кольца́ и ша́ра — ball-and-ring methodкомплексометри́ческий ме́тод ( для определения жёсткости воды) — complexometric methodкондуктометри́ческий ме́тод — conductance-measuring methodме́тод коне́чных ра́зностей — finite difference methodме́тод консерви́рования — curing methodме́тод контро́ля, дифференци́рованный — differential control methodме́тод контро́ля ка́чества — quality control methodме́тод ко́нтурных то́ков — mesh-current [loop] methodме́тод ко́нуса — cone methodме́тод корнево́го годо́графа киб., автмт. — root-locus methodкорреляцио́нный ме́тод — correlation methodко́свенный ме́тод — indirect methodме́тод кра́сок ( в дефектоскопии) — dye-penetrant methodлаборато́рный ме́тод — laboratory methodме́тод ла́ковых покры́тий ( в сопротивлении материалов) — brittle-varnish methodме́тод лине́йной интерполя́ции — method of proportional partsме́тод Ляпуно́ва аргд. — Lyapunov's methodме́тод магни́тного порошка́ ( в дефектоскопии) — magnetic particle [magnetic powder] methodмагни́тно-люминесце́нтный ме́тод ( в дефектоскопии) — fluorescent magnetic particle methodме́тод ма́лого пара́метра киб., автмт. — perturbation theory, perturbation methodме́тод ма́лых возмуще́ний аргд. — perturbation methodме́тод мгнове́нной равносигна́льной зо́ны рлк. — simultaneous lobing [monopulse] methodме́тод механи́ческой обрабо́тки — machining methodме́тод ме́ченых а́томов — tracer methodме́тод микрометри́рования — micrometer methodме́тод мно́жителей Лагра́нжа — Lagrangian multiplier method, Lagrange's method of undetermined multipliersме́тод моме́нтных площаде́й мех. — area moment methodме́тод Мо́нте-Ка́рло мат. — Monte Carlo methodме́тод навига́ции, дальноме́рный ( пересечение двух окружностей) — rho-rho [r-r] navigationме́тод навига́ции, угломе́рный ( пересечение двух линий пеленга) — theta-theta [q-q] navigationме́тод наиме́ньших квадра́тов — method of least squares, least-squares techniqueме́тод наискоре́йшего спу́ска мат. — method of steepest descentме́тод нака́чки ( лазера) — pumping [excitation] methodме́тод накопле́ния яд. физ. — “backing-space” methodме́тод наложе́ния — method of superpositionме́тод напыле́ния — evaporation techniqueме́тод нару́жных заря́дов горн. — adobe blasting methodме́тод незави́симых стереопа́р топ. — method of independent image pairsненулево́й ме́тод — deflection methodме́тод неопределё́нных мно́жителей Лагра́нжа — Lagrangian multiplier method, Lagrange's method of undetermined multipliersме́тод неподви́жных то́чек — method of fixed pointsнеразруша́ющий ме́тод — non-destructive method, non-destructive testingнерекурси́вный ме́тод — non-recursive methodнето́чный ме́тод — inexact methodнефелометри́ческий ме́тод — nephelometric methodме́тод нивели́рования по частя́м — method of fraction levellingнулево́й ме́тод — null [zero(-deflection) ] methodме́тод нулевы́х бие́ний — zero-beat methodме́тод нулевы́х то́чек — neutral-points methodме́тод обеспе́чения надё́жности — reliability methodме́тод обрабо́тки — processing [working, tooling] methodме́тод обра́тной простра́нственной засе́чки топ. — method of pyramidобра́тно-ступе́нчатый ме́тод свар. — step-back methodме́тод объединё́нного а́тома — associate atom methodобъекти́вный ме́тод — objective methodобъё́мный ме́тод — volumetric methodме́тод одного́ отсчё́та ( преобразование непрерывной информации в дискретную) — the total value method (of analog-to-digital conversion)окисли́тельно-восстанови́тельный ме́тод — redox methodопера́торный ме́тод — operational methodме́тод определе́ния ме́ста, дальноме́рно-пеленгацио́нный ( пересечение прямой и окружности) — rho-theta [r-q] fixingме́тод определе́ния ме́ста, дальноме́рный ( пересечение двух окружностей) — rho-rho [r-r] fixingме́тод определе́ния ме́ста, пеленгацио́нный ( пересечение двух линий пеленга) — theta-theta [q-q] fixingме́тод определе́ния отбе́ливаемости и цве́тности ма́сел — bleach-and-colour methodме́тод определе́ния положе́ния ли́нии, двукра́тный геод. — double-line methodме́тод опти́ческой корреля́ции — optical correlation techniqueме́тод осажде́ния — sedimentation methodме́тод осо́бых возмуще́ний аргд. — singular perturbation methodме́тод осредне́ния — averaging [smoothing] methodме́тод отбо́ра проб — sampling method, sampling techniqueме́тод отклоне́ния — deflection methodме́тод отопле́ния метал. — fuel practiceме́тод отраже́ния — reflection methodме́тод отражё́нных и́мпульсов — pulse-echo methodме́тод отыска́ния произво́дной, непосре́дственный — delta methodме́тод па́дающего те́ла — falling body methodме́тод парамагни́тного резона́нса — paramagnetic-resonance methodме́тод пе́рвого приближе́ния — first approximation methodме́тод перева́ла мат. — saddle-point methodме́тод перено́са коли́чества движе́ния аргд. — momentum-transfer methodме́тод перераспределе́ния моме́нтов ( в расчёте конструкций) — moment distribution methodме́тод пересека́ющихся луче́й — crossed beam methodме́тод перехо́дного состоя́ния ( в аналитической химии) — transition state methodме́тод перпендикуля́ров — offset methodме́тод перспекти́вных се́ток топ. — grid methodме́тод пескова́ния с.-х. — sanding methodпикнометри́ческий ме́тод — bottle methodме́тод площаде́й физ. — area methodме́тод повторе́ний геод. — method of reiteration, repetition methodме́тод подбо́ра — trial-and-error [cut-and-try] methodме́тод подо́бия — similitude methodме́тод подориенти́рования топ. — setting on points of controlме́тод по́лной деформа́ции — total-strain methodме́тод полови́нных отклоне́ний — half-deflection methodме́тод положе́ния геод. — method of bearings, method of gisementsполуколи́чественный ме́тод — semiquantitative methodме́тод поля́рных координа́т — polar methodме́тод попу́тного фрезерова́ния — climb [cut-down] milling methodпорошко́вый ме́тод ( в рентгеноструктурном анализе) — powder [Debye-Scherer-Hull] methodме́тод посе́ва — seeding techniqueме́тод после́довательного счё́та ( преобразования аналоговой информации в дискретную) — incremental method (of analog-to-digital conversion)ме́тод после́довательных исключе́ний — successive exclusion methodме́тод после́довательных подстано́вок — method of successive substitution, substitution processме́тод после́довательных попра́вок — successive correction methodме́тод после́довательных приближе́ний — successive approximation methodме́тод после́довательных элимина́ций — method of exhaustionме́тод послесплавно́й диффу́зии полупр. — post-alloy-diffusion techniqueпотенциометри́ческий компенсацио́нный ме́тод — potentiometric methodпото́чно-конве́йерный ме́тод — flow-line conveyor methodпото́чный ме́тод — straight-line flow methodме́тод прерыва́ний ( для измерения скорости света) — chopped-beam methodприближё́нный ме́тод — approximate methodме́тод проб и оши́бок — trial-and-error [cut-and-try] methodме́тод программи́рующих програ́мм — programming program methodме́тод продолже́ния топ. — setting on points on controlме́тод проекти́рования, моде́льно-маке́тный — model-and-mock-up method of designме́тод простра́нственного коди́рования ( преобразования аналоговой информации в дискретную) — coded pattern method (OF analog-to-digital conversion)ме́тод простра́нственной самофикса́ции — self-fixation space methodпрямо́й ме́тод — direct methodме́тод псевдослуча́йных чи́сел — pseudorandom number methodме́тод равносигна́льной зо́ны рлк. — lobing, beam [lobe] switchingме́тод равносигна́льной зо́ны, мгнове́нный рлк. — simultaneous lobing, monopulseме́тод ра́вных высо́т геод. — equal-altitude methodме́тод ра́вных деформа́ций ( в проектировании бетонных конструкций) — equal-strain methodме́тод ра́вных отклоне́ний — equal-deflection methodрадиацио́нный ме́тод — radiation methodме́тод радиоавтогра́фии — radioautograph techniqueме́тод радиоакти́вных индика́торов — tracer methodрадиометри́ческий ме́тод — radiometric methodме́тод разбавле́ния — dilution methodме́тод разделе́ния тлв. — separation methodме́тод разделе́ния переме́нных — method of separation of variablesме́тод разли́вки метал. — teeming [pouring, casting] practiceме́тод разме́рностей — dimensional methodра́зностный ме́тод — difference methodме́тод разруша́ющей нагру́зки — load-factor methodразруша́ющий ме́тод — destructive checkме́тод рассе́яния Рэле́я — Rayleigh scattering methodме́тод ра́стра тлв. — grid methodме́тод ра́стрового скани́рования — raster-scan methodме́тод расчё́та по допусти́мым нагру́зкам — working stress design [WSD] methodме́тод расчё́та по разруша́ющим нагру́зкам стр. — ultimate-strength design [USD] methodме́тод расчё́та при по́мощи про́бной нагру́зки стр. — trial-load methodме́тод расчё́та, упру́гий стр. — elastic methodрезона́нсный ме́тод — resonance methodме́тод реитера́ций геод. — method of reiteration, repetition methodрентгенострукту́рный ме́тод — X-ray diffraction methodме́тод реше́ния зада́чи о четвё́ртой то́чке геод. — three-point methodме́тод решета́ мат. — sieve methodру́порно-ли́нзовый ме́тод радио — horn-and-lens methodме́тод самоторможе́ния — retardation methodме́тод сви́лей — schlieren technique, schlieren methodме́тод сдви́нутого сигна́ла — offset-signal methodме́тод секу́щих — secant methodме́тод се́рого кли́на физ. — gray-wedge methodме́тод се́ток мат., вчт. — net(-point) methodме́тод сече́ний ( в расчёте напряжений в фермах) — method of sectionsме́тод сил ( определение усилий в статически неопределимой системе) — work methodсимволи́ческий ме́тод — method of complex numbersме́тод симметри́чных составля́ющих — method of symmetrical components, symmetrical component methodме́тод синхро́нного накопле́ния — synchronous storage methodме́тод скани́рования полосо́й — single-line-scan television methodме́тод скани́рования пятно́м — spot-scan photomultiplier methodме́тод смеще́ния отде́льных узло́в стр. — method of separate joint displacementме́тод совпаде́ний — coincidence methodме́тод сосредото́ченных пара́метров — lumped-parameter methodме́тод спада́ния заря́да — fall-of-charge methodспектроскопи́ческий ме́тод — spectroscopic methodме́тод спира́льного скани́рования — spiral-scan methodме́тод сплавле́ния — fusion methodме́тод сплошны́х сред ( в моделировании) — continuous field analog techniqueме́тод сре́дних квадра́тов — midsquare methodстатисти́ческий ме́тод — statistical techniqueстатисти́ческий ме́тод оце́нки — statistical estimationме́тод статисти́ческих испыта́ний — Monte Carlo methodстробоголографи́ческий ме́тод — strobo-holographic methodстробоскопи́ческий ме́тод — stroboscopic methodстру́йный ме́тод метал. — jet testступе́нчатый ме́тод ( сварки или сверления) — step-by-step methodсубъекти́вный ме́тод — subjective methodме́тод сухо́го озоле́ния — dry combustion methodме́тод сухо́го порошка́ ( в дефектоскопии) — dry methodсчё́тно-и́мпульсный ме́тод — pulse-counting methodтабли́чный ме́тод — diagram methodтелевизио́нный ме́тод электро́нной аэросъё́мки — television methodтелевизио́нный ме́тод электро́нной фотограмме́трии — television methodтенево́й ме́тод — (direct-)shadow methodтермоанемометри́ческий ме́тод — hot-wire methodтопологи́ческий ме́тод — topological methodме́тод то́чечного вплавле́ния полупр. — dot alloying methodто́чный ме́тод — exact [precision] methodме́тод травле́ния, гидри́дный — sodium hydride descalingме́тод трапецеида́льных характери́стик — Floyd's trapezoidal approximation method, approximation procedureме́тод трёх баз геод. — three-base methodме́тод триангуля́ции — triangulation methodме́тод трилатера́ции геод. — trilateration methodме́тод углово́й деформа́ции — slope-deflection methodме́тод углово́й модуля́ции — angular modulation methodме́тод удаля́емого трафаре́та полупр. — rejection mask methodме́тод удаля́емой ма́ски рад. — rejection mask methodме́тод узло́в ( в расчёте напряжении в фермах) — method of jointsме́тод узловы́х потенциа́лов — node-voltage methodме́тод ура́внивания по направле́ниям геод. — method of directions, direction methodме́тод ура́внивания по угла́м геод. — method of angles, angle methodме́тод уравнове́шивания — balancing methodме́тод усредне́ния — averaging [smoothing] methodме́тод фа́зового контра́ста ( в микроскопии) — phase contrastнаблюда́ть ме́тодом фа́зового контра́ста — examine [study] by phase contrastме́тод фа́зовой пло́скости — phase plane methodме́тод факториза́ции — factorization methodфлотацио́нный ме́тод — floatation methodме́тод формирова́ния сигна́лов цве́тности тлв. — colour-processing methodме́тод центрифуги́рования — centrifuge methodцепно́й ме́тод астр. — chain methodчи́сленный ме́тод — numerical methodме́тод Чохра́льского ( в выращивании полупроводниковых кристаллов) — Czochralski method, vertical pulling techniqueме́тод Шо́ра — Shore hardnessщупово́й ме́тод — stylus methodме́тод электрофоре́за — electrophoretic methodэмпири́ческий ме́тод — trial-and-error [cut-and-try] methodэнергети́ческий ме́тод1. косм. energy method2. стр. strain energy methodме́тод энергети́ческого бала́нса — power balance methodэргати́ческий ме́тод ( при общении человека с ЭВМ) — interactive [conversational] technique -
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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