-
1 abstrakt wykonany automatycznie
• automatic abstractSłownik polsko-angielski dla inżynierów > abstrakt wykonany automatycznie
-
2 совокупность автоматически выбранных ключевых слов
Русско-английский большой базовый словарь > совокупность автоматически выбранных ключевых слов
-
3 автоматический реферат
1. autjabstract2. automatic abstract3. computer abstractавтоматический реферат; совокупность автоматически выбранных ключевых слов — automatic abstract
Русско-английский большой базовый словарь > автоматический реферат
-
4 машинный реферат
1) Engineering: machine abstract2) Electronics: autoabstract3) Information technology: automatic abstract, computer abstract -
5 analiza maszynowa
• auto-abstract• automatic abstract• machine abstract -
6 automatyczna analiza treści
• auto-abstract• automatic abstract• machine abstractSłownik polsko-angielski dla inżynierów > automatyczna analiza treści
-
7 автоматический реферат
Information technology: autoabstract, automatic abstract, computer abstractУниверсальный русско-английский словарь > автоматический реферат
-
8 совокупность автоматически выбранных ключевых слов
Information technology: automatic abstractУниверсальный русско-английский словарь > совокупность автоматически выбранных ключевых слов
-
9 resumen
m.1 summary.en resumen in short2 abstract, overview, resumé, summary.pres.indicat.3rd person plural (ellos/ellas) present indicative of spanish verb: resumir.* * *1 summary\en resumen in short, to sum up* * *noun m.* * *1.SM summary, résuméhizo un resumen de lo que dijo — she gave a summary o résumé of what he said
en resumen — (=en conclusión) to sum up; (=brevemente) in short
2.ADJ INV* * *masculino summaryhacer un resumen de un texto — to précis o summarize a text
* * *= abbreviation, abstract, condensation, digestion, précis, résumé, summarisation [summarization, -USA], summary, summary, recap, recapitulation, rundown, roundup [round-up].Ex. Many other terms are used to denote a regurgitation or abbreviation of document content.Ex. An abstract is a concise and accurate representation of the contents of a document, in a style similar to that of the original document.Ex. An abridgement is usually taken to be a condensation that necessarily omits a number of secondary points.Ex. They can help in effective note-taking, digestion of current literature, and the analysis of committee papers.Ex. A précis is an account which restricts itself to the essential points of an argument.Ex. A synopsis is one type of résume prepared by the author of a work.Ex. In summarization we are concerned with stating the total content of the document in a brief description.Ex. A clearer demarcation might be drawn between the traditional subject headings lists and thesauri by the following summary of differences.Ex. Strictly, a summary is a restatement within a document of the salient findings and conclusions of the document.Ex. Each session should begin with a brief recap of the previous week's reading.Ex. Here again the contributors are leading scholars, but in this case the emphasis is upon analysis and interpretation rather than factual recapitulation.Ex. This article describes the functionality of CARL software for this purpose, loads a brief rundown of data bases, and gives the criteria for selecting data bases.Ex. Nobody can depend exclusively on library publications reviews to identify new titles, though Publishers Weekly's computer book roundups do help.----* agencia de resúmenes = abstracting agency, abstracting organisation.* a modo de resumen = wrap-up.* base de datos bibliográfica de resúmenes = abstracts based bibliographic database.* boletín de resúmenes = abstracting bulletin, abstracts bulletin.* elaboración de resúmenes = abstracting.* en resumen = in conclusion, in summary, simply put, the long and (the) short of, in sum, in all, to sum up, to sum it up, in essence, put simply, all in all, simply stated.* normas para la elaboración de resúmenes = abstracting policy.* página de resúmenes = abstract page, abstract sheet.* pantalla de resumen de nombres = name summary screen.* pantalla resumen = summary screen.* pantalla resumen del documento = document summary screen.* pantalla resumen de notas = note summary screen.* plantilla de resúmenes = abstracting form.* preparación automática de resúmenes = automatic abstracting.* presentar un resumen = give + summary.* publicación de resúmenes = abstracting and indexing publication, abstracting and indexing publication, abstracting publication.* resumen a partir de los inicios de los documentos = lead-based summary.* resumen biográfico = biographical sketch.* resumen breve = short abstract.* resumen crítico = critical abstract.* resumen de autor = author abstract.* resumen de comunicación = meeting abstract.* resumen de interés = highlight abstract.* resumen de la dirección = executive summary.* resumen de la junta directiva = executive summary.* resumen de misión = mission-oriented abstract.* resumen de noticias = roundup [round-up], roundup of news, roundup of news.* resumen de novedades = roundup [round-up], roundup of news, roundup of news.* resumen de resultados = findings-oriented abstract.* resumen documental = document summary.* resumen ejecutivo = executive summary.* Resúmenes Internacionales de Farmacia (IPA) = International Pharmaceutical Abstracts (IPA).* resumen especial = mission-oriented abstract.* resumen estadístico = statistical abstract.* resumen hecho para una disciplina concreta = discipline-oriented abstract.* resumen homotópico = homotopic abstract.* resumen indicativo = indicative abstract.* resumen indicativo-informativo = indicative-informative abstract.* resumen informativo = informative abstract.* resumen numérico = numerical abstract.* resumen reglado = ruly abstract.* resumen selectivo = selective abstract, slanted abstract.* resumen tabular = tabular abstract.* resumen telegráfico = telegraphic abstract.* revista de resúmenes = abstracts journal, abstracting journal, abstracting periodical, abstracting and indexing publication, abstract journal, synoptic journal, abstracting and indexing journal, abstracting publication.* servicio de indización y resumen = abstracting and indexing service, indexing and abstracting service.* servicio de resúmenes = abstracting service.* tipo de resumen = abstracting format.* * *masculino summaryhacer un resumen de un texto — to précis o summarize a text
* * *= abbreviation, abstract, condensation, digestion, précis, résumé, summarisation [summarization, -USA], summary, summary, recap, recapitulation, rundown, roundup [round-up].Ex: Many other terms are used to denote a regurgitation or abbreviation of document content.
Ex: An abstract is a concise and accurate representation of the contents of a document, in a style similar to that of the original document.Ex: An abridgement is usually taken to be a condensation that necessarily omits a number of secondary points.Ex: They can help in effective note-taking, digestion of current literature, and the analysis of committee papers.Ex: A précis is an account which restricts itself to the essential points of an argument.Ex: A synopsis is one type of résume prepared by the author of a work.Ex: In summarization we are concerned with stating the total content of the document in a brief description.Ex: A clearer demarcation might be drawn between the traditional subject headings lists and thesauri by the following summary of differences.Ex: Strictly, a summary is a restatement within a document of the salient findings and conclusions of the document.Ex: Each session should begin with a brief recap of the previous week's reading.Ex: Here again the contributors are leading scholars, but in this case the emphasis is upon analysis and interpretation rather than factual recapitulation.Ex: This article describes the functionality of CARL software for this purpose, loads a brief rundown of data bases, and gives the criteria for selecting data bases.Ex: Nobody can depend exclusively on library publications reviews to identify new titles, though Publishers Weekly's computer book roundups do help.* agencia de resúmenes = abstracting agency, abstracting organisation.* a modo de resumen = wrap-up.* base de datos bibliográfica de resúmenes = abstracts based bibliographic database.* boletín de resúmenes = abstracting bulletin, abstracts bulletin.* elaboración de resúmenes = abstracting.* en resumen = in conclusion, in summary, simply put, the long and (the) short of, in sum, in all, to sum up, to sum it up, in essence, put simply, all in all, simply stated.* normas para la elaboración de resúmenes = abstracting policy.* página de resúmenes = abstract page, abstract sheet.* pantalla de resumen de nombres = name summary screen.* pantalla resumen = summary screen.* pantalla resumen del documento = document summary screen.* pantalla resumen de notas = note summary screen.* plantilla de resúmenes = abstracting form.* preparación automática de resúmenes = automatic abstracting.* presentar un resumen = give + summary.* publicación de resúmenes = abstracting and indexing publication, abstracting and indexing publication, abstracting publication.* resumen a partir de los inicios de los documentos = lead-based summary.* resumen biográfico = biographical sketch.* resumen breve = short abstract.* resumen crítico = critical abstract.* resumen de autor = author abstract.* resumen de comunicación = meeting abstract.* resumen de interés = highlight abstract.* resumen de la dirección = executive summary.* resumen de la junta directiva = executive summary.* resumen de misión = mission-oriented abstract.* resumen de noticias = roundup [round-up], roundup of news, roundup of news.* resumen de novedades = roundup [round-up], roundup of news, roundup of news.* resumen de resultados = findings-oriented abstract.* resumen documental = document summary.* resumen ejecutivo = executive summary.* Resúmenes Internacionales de Farmacia (IPA) = International Pharmaceutical Abstracts (IPA).* resumen especial = mission-oriented abstract.* resumen estadístico = statistical abstract.* resumen hecho para una disciplina concreta = discipline-oriented abstract.* resumen homotópico = homotopic abstract.* resumen indicativo = indicative abstract.* resumen indicativo-informativo = indicative-informative abstract.* resumen informativo = informative abstract.* resumen numérico = numerical abstract.* resumen reglado = ruly abstract.* resumen selectivo = selective abstract, slanted abstract.* resumen tabular = tabular abstract.* resumen telegráfico = telegraphic abstract.* revista de resúmenes = abstracts journal, abstracting journal, abstracting periodical, abstracting and indexing publication, abstract journal, synoptic journal, abstracting and indexing journal, abstracting publication.* servicio de indización y resumen = abstracting and indexing service, indexing and abstracting service.* servicio de resúmenes = abstracting service.* tipo de resumen = abstracting format.* * *summarynos hizo un resumen de lo tratado en la reunión she gave us a resumé o summary of what was discussed at the meetinghacer un resumen de un texto to précis o summarize a texten resumen in short* * *
Del verbo resumir: ( conjugate resumir)
resumen es:
3ª persona plural (ellos/ellas/ustedes) presente indicativo
Multiple Entries:
resumen
resumir
resumen sustantivo masculino
summary;
en resumen in short
resumir ( conjugate resumir) verbo transitivo
verbo intransitivo:◊ resumiendo … in short …, to sum up …
resumen sustantivo masculino summary
♦ Locuciones: en resumen, in short
resumir vtr (una situación) to sum up
(un texto, informe, una noticia) to summarize
♦ Locuciones: en resumidas cuentas, to sum up
' resumen' also found in these entries:
Spanish:
esquema
- extracto
- total
- tráiler
- balance
- compendio
- hacer
- síntesis
English:
abstract
- brief
- digest
- flash
- outline
- recap
- roundup
- short
- sum up
- summary
- briefly
- fact
- head
- precis
- resumé
- review
- round
- run
- sum
* * *resumen nmsummary;hazme un resumen de lo que pasó give me a summary of what happened;van a emitir el resumen de la ceremonia inaugural the highlights of the opening ceremony are going to be broadcast;en resumen in short* * *m summary;en resumen in short* * *1) : summary, summation2)en resumen : in summary, in short* * * -
10 автомат
automaton, mechanized sewing unit* * *автома́т м.1. ( автоматический выключатель) (automatic) circuit-breakerвключа́ть автома́т — close the circuit-breakerвключа́ть автома́т повто́рно — reclose the circuit-breakerвыключа́ть автома́т — open the circuit-breakerавтома́т коммути́рует то́ки коро́ткого замыка́ния — the circuit-breaker interrupts [switches, breaks] short-circuit currentsобесто́чивать автома́т (напр. для ревизии, ремонта) — isolate the circuit-breakerотключа́ть автома́т — trip the circuit-breakerрасцепля́ть автома́т — trip the circuit-breaker2. ( в значении стано́к) см. станок-автомат3. ( абстрактный) киб. automaton, machineабстра́ктный автома́т — abstract automatonактуа́льный автома́т — actual automatonавтома́т балансиро́вки ав. — trim controllerбалансиро́вочный автома́т — automatic balancer, automatic balancing machineбарометри́ческий автома́т ав. — barometric switch, baroswitchавтома́т безопа́сности ( паровой турбины) — overspeed governor, disengaging clutchавтома́т безопа́сности, скоростно́й — emergency governorавтома́т без па́мяти — memoryless automaton, memoryless machineбесконе́чный автома́т — infinite automaton, infinite machineбу́нкерный автома́т — automatic hopper-feed machineвероя́тностный автома́т — probabilistic automaton, probabilistic machineвесово́й автома́т — automatic weighing machine, automatic weigherвесово́й, дози́рующий автома́т — automatic weigherавтома́т включе́ния резе́рва [АВР] — automatic throw-over [transfer] circuit-breakerвозду́шный автома́т — air circuit-breakerавтома́т выглубле́ния (плу́га) — lift clutchвы́сший автома́т — “higher” automatonгальванопласти́ческий автома́т — plating machineавтома́т гаше́ния по́ля — automatic field killer, automatic field-suppression circuit-breakerавтома́т давле́ния ( в высотном скафандре) — automatic pressure controlдетермини́рованный автома́т — (finite) deterministic automaton, (finite) deterministic machineдискре́тный автома́т — discrete automaton, discrete machineавтома́т для вы́емки буты́лок из я́щика — decraterавтома́т для дугово́й сва́рки — arc-welding machineавтома́т для дугово́й сва́рки под флю́сом — submerged arc-welding machineавтома́т для изготовле́ния оболо́чковых форм литейн. — automatic shell moulding machineавтома́т для обвя́зки руло́нов — automatic bonding unitавтома́т для обма́зки спи́чечных коро́бок — box painting machineавтома́т для сме́ны грампласти́нок — record (auto-)changerавтома́т для укла́дки буты́лок в я́щик — craterдыха́тельный автома́т — lung-governed breathing apparatusавтома́т загру́зки ав. — artificial feel (system), artificial feel unit, feel simulatorзапа́ечно-откачно́й автома́т элк. — sealing-exhausting machineзато́чный автома́т — automatic grinderзато́чный автома́т для кру́глых пил — automatic circular-saw grinderавтома́т защи́ты от погаса́ния фа́кела ( в топке) — flame safeguard systemавтома́т защи́ты се́ти [АЗС] — (automatic) circuit-breakerавтома́т защи́ты се́ти отключа́ется авари́йно — the circuit-breaker opens on a fault (current) [under abnormal conditions]избы́точный автома́т — redundant automaton, redundant machineквазиэквивале́нтный автома́т — quasi-equivalent automaton, quasi-equivalent machineкокономота́льный автома́т текст. — automatic cocoon-reeling machineкомбинато́рный автома́т — combinatorial automatonкоммутати́вный автома́т — commutative automaton, commutative machineконе́чный автома́т — finite(-state) automaton, finite(-state) machineконе́чный, бло́чный автома́т — finite modular automatonконтро́льно-весово́й автома́т пищ. — automatic checking balanceконтро́льно-измери́тельный автома́т — inspection machineконтро́льный автома́т — automatic checking machineавтома́т контро́ля пла́мени ( топки) — flame detectorкопирова́льный автома́т — automatic tracer(-equipped) machineкромкоги́бочный автома́т — automatic flanger, automatic crimperкруглочуло́чный автома́т — automatic seamless hosiery machineкулачко́вый автома́т — automatic cam-controlled machineлё́гочный автома́т ( респиратора) — lung-governed oxygen inlet [admission] valveлистоштампо́вочный автома́т — ( для тонкого листа) automatic sheet stamping press; ( для толстого листа) automatic plate stamping pressлите́йный автома́т — automatic casting machineавтома́т максима́льного напряже́ния — overvoltage circuit-breakerма́сляный автома́т — oil circuit-breakerавтома́т механи́ческой настро́йки переда́тчика или приё́мника — autopositioner, auto-tune systemавтома́т Мили́ — Mealy automatonмногокулачко́вый автома́т — automatic multicam machineмноголине́йный автома́т — multiple line automatonмногопозицио́нный автома́т — automatic multistation machineавтома́т многошпи́ндельный автома́т — automatic multispindle machineмота́льный автома́т — automatic winding machineавтома́т Му́ра — Moore automatonавтома́т нави́вки се́ток элк. — grid machine, grid latheнавигацио́нный автома́т — ground-position indicator, automatic navigatorнедетермини́рованный автома́т — stochastic automaton, stochastic machineнеинициа́льный автома́т — noninitial automatonавтома́т непреры́вного де́йствия — automatic continuously operating machineниткошве́йный автома́т полигр. — automatic book sewerносо́чный автома́т — automatic half-hose machineобё́рточный автома́т — packaging machineоднопозицио́нный автома́т — automatic single-station machineодношпи́ндельный автома́т — automatic single-spindle machineавтома́т опа́ливания монти́рованных но́жек элк. — bulb blowing machineопределё́нный автома́т — definite automatonосновопробо́рный автома́т — automatic drawing-in [entering, warp-drawing] machineавтома́т паралле́льного де́йствия — automatic parallel-action machineпатро́нный автома́т — automatic chucking machineпа́чечно-укла́дочный автома́т — automatic cigarette bundlerавтома́т переключе́ния скоросте́й — automatic speed selection deviceавтома́т переко́са ав. — брит. swashplate; амер. wobble plateпескостру́йный автома́т — automatic sand-blasting machineпескостру́йный, стержнево́й автома́т литейн. — automatic core sand-blasting machineпламечувстви́тельный автома́т тепл. — burner-flame controller, combustion safeguard equipment, flame-failure detectorавтома́т повто́рного включе́ния — reclosing circuit-breaker, automatic circuit recloserавтома́т пода́чи то́плива ав. — fuel-flow proportionerавтома́т подъё́ма плу́га — plough clutchавтома́т подъё́ма плу́га, крючко́вый — hook liftавтома́т подъё́ма плу́га, ре́ечный — rack liftавтома́т подъё́ма плу́га, храпово́й — ratchet liftавтома́т подъё́ма плу́га, шестерё́нчатый — gear liftполиграфи́ческий автома́т — automatic printerавтома́т после́довательного де́йствия — automatic step-by-step action machineавтома́т приё́мистости ав. — (automatic) acceleration control (unit)автома́т продо́льно-фасо́нного точе́ния — Swiss-type [sliding-head type] automatic latheпрутко́вый автома́т — automatic bar-stock machineразли́вочно-уку́порочный автома́т — automatic filling-and-capping machineразме́нный автома́т — coin changerРа́сселов автома́т — Russell's slot-machineавтома́т расторможе́ния авто — anti-skid device, skid-sensing unitрасту́щий автома́т — growing automatonрасцепля́ющий автома́т — releaserсамовоспроизводя́щийся автома́т — self-reproducing automatonсамодви́жущийся автома́т — self-moving automatonсамонастра́ивающийся автома́т — self-adaptive automatonавтома́т с бесконе́чным коли́чеством состоя́ний — infinite-state automaton, infinite-state machineсбо́рочный автома́т — automatic assembly machineсбо́рочный автома́т для шарикоподши́пников — automatic ball-bearing assembly machineсва́рочный автома́т — automatic welding machine, automatic welderсва́рочный, двухдугово́й автома́т — two-head automatic arc-welding machineсва́рочный, дугово́й автома́т — automatic arc-welding machineсва́рочный, многодугово́й автома́т — multiarc automatic welding machineскле́ечный автома́т кфт. — automatic splicerавтома́т с коне́чной па́мятью — finite-memory automatonавтома́т с кулачко́вым управле́нием — automatic cam-controlled machineавтома́т с магази́нной загру́зкой загото́вок — automatic magazine-feed machineавтома́т с механи́змом свобо́дного расцепле́ния — trip free circuit-breakerавтома́т с ограниче́нием на вхо́де — input-restricted automatonсоломкополирова́льный автома́т лес. — splint-shaping machineсоломкоруби́льный автома́т лес. — splint-chopping [splint-cutting] machineсоломкоукла́дочный автома́т лес. — splint-levelling machineсортиро́вочный автома́т — automatic sorting machineспи́чечный универса́льный автома́т — universal match machineавтома́т с програ́ммным управле́нием — programme-controlled machineстереоти́пный отливно́й автома́т — fully automatic stereoplate [stereotype] caster, automatic casting machineстохасти́ческий автома́т — stochastic automaton, stochastic machineтка́цкий автома́т — automatic loomторговы́й автома́т по прода́же газе́т, спи́чек и т. п. — брит. newspaper, matches etc. slot-machine; амер. newspaper, matches etc. vending machineтривиа́льный автома́т — trivial automaton, trivial machineуниверса́льный автома́т — universal circuit-breakerустано́вочный автома́т — current-limiting circuit-breakerуто́чно-перемо́точный автома́т текст. — automatic weft [pirn] winderфасо́вочный автома́т (напр. для масла, муки и т. п.) — weighing-and-packing machineфикси́рованный автома́т — fixed automaton, fixed machineавтома́т франки́рования пи́сем — postage permit printerцепевя́зальный автома́т — automatic chain-bending machineцифрово́й автома́т1. digital automaton2. digital [switching] network, digital [switching] circuitчасти́чно-определё́нный автома́т — partially specified automaton, partially specified machineчуло́чный автома́т — automatic hosiery machineэтикетиро́вочный автома́т — automatic labeller* * * -
11 автомат
1. м. circuit-breakerавтомат коммутирует токи короткого замыкания — the circuit-breaker interrupts short-circuit currents
2. м. киб. automaton, machineлистоштамповочный автомат — automatic sheet stamping press; automatic plate stamping press
автомат перекоса — swashplate; wobble plate
Синонимический ряд:машина (сущ.) машина -
12 preparación automática de resúmenes
(n.) = automatic abstractingEx. The elaboration of an abstract by automated means is known as automatic abstracting.* * *(n.) = automatic abstractingEx: The elaboration of an abstract by automated means is known as automatic abstracting.
Spanish-English dictionary > preparación automática de resúmenes
-
13 поверхностная акустическая волна
- TDM
- TDD
- TBR
- SRD
- SIN AD
- SAW
- RSSI
- RFI
- PWM
- PSK
- PDM
- OBE
- MSK
- GMSK
- FSK
- FHSS
- ETSI
- ETS
- ETR
- EMI
- DSSS
- DBPSK
- CSMA
- CDMA
- BPSK
- ASK
- ARQ
06.04.13 поверхностная акустическая волна [ surface acoustic wave; SAW]: Электроакустический эффект, используемый в системах автоматической идентификации, когда микроволновые радиосигналы малой мощности с помощью пьезоэлектрического кристалла в радиочастотной метке преобразуются в ультразвуковые поверхностные акустические волны.
Примечание - Информация об уникальной идентификации содержится в фазово-временных вариациях отраженного радиочастотной меткой сигнала.
<2>4 Сокращения
ARQ
Автоматический запрос повтора [Automatic Repeat Request]
ASK
Амплитудная манипуляция [Amplitude Shift Keying]
BPSK
Бинарная фазовая манипуляция [Binary Phase Shift Keying]
CDMA
Множественный доступ с кодовым разделением каналов [Code Division Multiple Access]
CSMA
Множественный доступ с анализом состояния канала передачи данных [Carrier Sense Multiple Access]
CSMA/CD
Множественный доступ с анализом состояния канала передачи данных и обнаружением конфликтов [Carrier Sense Multiple Access with Collision Detection]
DBPSK
Дифференциальная бинарная фазовая манипуляция [Differential binary phase shift keying]
DSSS
Широкополосная модуляция с непосредственной передачей псевдослучайной последовательности [Direct sequence spread spectrum modulation]
EIRP (ЭИИМ)
Эквивалентная изотропно-излучаемая мощность [Equivalent Isotropically Radiated Power]
EMI
Электромагнитная помеха [ElectroMagnetic Interference]
ETR
Технический отчет ETSI [European Telecommunications Report]
ETS
Телекоммуникационный стандарт ETSI [European Telecommunications Standard]
ETSI
Европейский институт по стандартизации в области телекоммуникаций [European Telecommunications Standards Institute]
FHSS
Широкополосная модуляция с дискретной перестройкой несущей частоты [Frequency Hopping Spread Spectrum]
FSK
Частотная манипуляция [Frequency Shift Keying]
GHz (ГГц)
Гигагерц [Gigahertz]
GMSK
Минимальная гауссовская манипуляция [Gaussian Minimum Shift Keying]
kHz (кГц)
Килогерц [Kilohertz]
MSK
Минимальнофазовая частотная манипуляция [Minimum shift keying]
MHz (МГц)
Мегагерц [Megahertz]
OBE
Навесное оборудование [On-Board Equipment]
PDM
Модуляция импульса по длительности, широтно-импульсная модуляция [Pulse Duration Modulation]
PM
Фазовая модуляция [Phase modulation]
PPM (ФИМ)
Фазоимпульсная модуляция [Modulation (pulse position)]
PSK
Фазовая манипуляция [Phase Shift Keying]
PWM
Широтно-импульсная модуляция [Pulse Width Modulation]
RF/DC
Обмен данными системы радиочастотной идентификации [Radio frequency data communication]
RFI
Радиопомеха [Radio frequency interference]
RSSI
Индикатор уровня принимаемого сигнала [Receiving Signal Strength Indicator]
S/N
Отношение сигнала к шуму [Signal/noise ratio]
SAW
Поверхностная акустическая волна [Surface Acoustic Wave]
SIN AD
Отношение сигнала к шуму и искажению [Signal to Noise & Distortion]
SRD
Устройство малого радиуса действия [Short Range Device]
TBR
Технические основы регулирования [Technical Basis for Regulation]
TDD
Дуплексная связь с временным разделением каналов [Time Division Duplexing]
TDM
Временное разделение каналов [Time Division Multiplexing]
<2>Библиография
[1]
МЭК 60050-713
(IEC 60050-713)
Международный электротехнический словарь. Часть 713. Радиосвязь: приемники, передатчики, сети и их режим работы
( International Electrotechnical Vocabulary - Part 713: Radiocommunications: transmitters, receivers, networks and operation)
[2]
МЭК 60050-705
(IEC 60050-705)
Международный электротехнический словарь. Глава 705: Распространение радиоволн ( International Electrotechnical Vocabulary - Chapter 705: Radio wave propagation)
[3]
МЭК 60050-702
(IEC 60050-702)
Международный электротехнический словарь. Глава 702: Колебания, сигналы и соответствующие устройства
( International Electrotechnical Vocabulary - Chapter 702: Oscillations, signals and related devices)
[4]
МЭК 60050-121
(IEC 60050-121)
Международный электротехнический словарь. Глава 121: Электромагнетизм ( International Electrotechnical Vocabulary - Part 121: Electromagnetism)
[5]
МЭК 60050-712
(IEC 60050-712)
Международный электротехнический словарь. Глава 712: Антенны ( International Electrotechnical Vocabulary - Chapter 712: Antennas)
[6]
МЭК 60050-221
(IEC 60050-221)
Международный электротехнический словарь. Глава 221: Магнитные материалы и компоненты
( International Electrotechnical Vocabulary - Chapter 221: Magnetic materials and components)
[7]
ИСО/МЭК 2382-9:1995
(ISO/IEC2382-9:1995)
Информационная технология. Словарь. Часть 9. Обмен данными ( Information technology - Vocabulary - Part 9: Data communication)
[8]
МЭК 60050-725
(IEC 60050-725)
Международный электротехнический словарь. Глава 725: Космическая радиосвязь ( International Electrotechnical Vocabulary - Chapter 725: Space radiocommunications)
[9]
МЭК 60050-714
(IEC 60050-714)
Международный электротехнический словарь. Глава 714: Коммутация и сигнализация в электросвязи
( International Electrotechnical Vocabulary - Chapter 714: Switching and signalling in telecommunications)
[10]
МЭК 60050-704
(IEC 60050-704)
Международный Электротехнический словарь. Глава 704. Техника передачи ( International Electrotechnical Vocabulary - Chapter 704: Transmission)
[11]
МЭК 60050-161
(IEC 60050-161)
Международный электротехнический словарь. Глава 161: Электромагнитная совместимость ( International Electrotechnical Vocabulary. Chapter 161: Electromagnetic compatibility)
[12]
ИСО/МЭК 8824-1
(ISO/IEC 8824-1)
Информационные технологии. Абстрактная синтаксическая нотация версии один
(АСН.1). Часть 1. Спецификация основной нотации
(Information technology - Abstract Syntax Notation One (ASN.1): Specification of basic notation)1)
[13]
ИСО/МЭК 9834-1
(ISO/IEC 9834-1)
Информационные технологии. Взаимосвязь открытых систем. Процедуры действий уполномоченных по регистрации ВОС. Часть 1. Общие процедуры и верхние дуги дерева идентификатора объекта АСН.1
( Information technology - Open Systems Interconnection - Procedures for the operation of OSI Registration Authorities: General procedures and top arcs of the ASN. 1 Object Identifier tree)
[14]
ИСО/МЭК 15962]
(ISO/IEC 15962)
Информационные технологии. Радиочастотная идентификация (RFID) для управления предметами. Протокол данных: правила кодирования данных и функции логической памяти
( Information technology - Radio frequency identification ( RFID) for item management - Data protocol: data encoding rules and logical memory functions)
[15]
ИСО/МЭК 19762-1
(ISO/IEC 19762-1)
Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 1. Общие термины в области АIDC ( Information technology - Automatic identification and data capture ( AIDC) techniques - Harmonized vocabulary - Part 1: General terms relating to AIDC)
[16]
ИСО/МЭК 19762-2
(ISO/IEC 19762-2)
Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 2. Оптические носители данных (ОНД)
( Information technology - Automatic identification and data capture ( AIDC) techniques - Harmonized vocabulary - Part 2: Optically readable media ( ORM))
[17]
ИСО/МЭК 19762-3
(ISO/IEC 19762-3)
Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 3. Радиочастотная идентификация (РЧИ)
( Information technology - Automatic identification and data capture ( AIDC) techniques - Harmonized vocabulary - Part 3: Radio frequency identification ( RFID))
[18]
ИСО/МЭК 19762-5
(ISO/IEC 19762-5)
Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 5. Системы определения места нахождения
( Information technology - Automatic identification and data capture ( AIDC) techniques - Harmonized vocabulary - Part 5: Locating systems)
[19]
ИСО/МЭК 18000-6
(ISO/IEC 18000-6)
Информационные технологии. Радиочастотная идентификация для управления предметами. Часть 6. Параметры радиоинтерфейса для диапазона частот 860 - 960 МГц ( Information technology - Radio frequency identification for item management - Part 6: Parameters for air interface communications at 860 MHz to 960 MHz)
_____________
1)В оригинале ИСО/МЭК 19762-4 стандарты [12] - [19] включены в раздел «Библиография», однако следует учитывать, что в основном тексте стандарта ссылок на них нет.
<2>
Источник: ГОСТ Р ИСО/МЭК 19762-4-2011: Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 4. Общие термины в области радиосвязи оригинал документа
Русско-английский словарь нормативно-технической терминологии > поверхностная акустическая волна
-
14 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
-
15 Computer
A computer is an interpreted automatic formal system-that is to say, a symbol- manipulating machine. (Haugeland, 1985, p. 113)The game the computer plays out is regulated by systems of ideas whose range is bounded only by the limitations of the human imagination. The physically determined bounds on the electronic and mechanical events internal to the computer do not matter for that game-any more than it matters how tightly a chess player grips his bishop or how rapidly he moves it over the board. A computer running under the control of a stored program is thus detached from the real world in the same way that every abstract game is. (Weizenbaum, 1976, pp. 111-112)Historical dictionary of quotations in cognitive science > Computer
-
16 AME
-
17 Memory
To what extent can we lump together what goes on when you try to recall: (1) your name; (2) how you kick a football; and (3) the present location of your car keys? If we use introspective evidence as a guide, the first seems an immediate automatic response. The second may require constructive internal replay prior to our being able to produce a verbal description. The third... quite likely involves complex operational responses under the control of some general strategy system. Is any unitary search process, with a single set of characteristics and inputoutput relations, likely to cover all these cases? (Reitman, 1970, p. 485)[Semantic memory] Is a mental thesaurus, organized knowledge a person possesses about words and other verbal symbols, their meanings and referents, about relations among them, and about rules, formulas, and algorithms for the manipulation of these symbols, concepts, and relations. Semantic memory does not register perceptible properties of inputs, but rather cognitive referents of input signals. (Tulving, 1972, p. 386)The mnemonic code, far from being fixed and unchangeable, is structured and restructured along with general development. Such a restructuring of the code takes place in close dependence on the schemes of intelligence. The clearest indication of this is the observation of different types of memory organisation in accordance with the age level of a child so that a longer interval of retention without any new presentation, far from causing a deterioration of memory, may actually improve it. (Piaget & Inhelder, 1973, p. 36)4) The Logic of Some Memory Theorization Is of Dubious Worth in the History of PsychologyIf a cue was effective in memory retrieval, then one could infer it was encoded; if a cue was not effective, then it was not encoded. The logic of this theorization is "heads I win, tails you lose" and is of dubious worth in the history of psychology. We might ask how long scientists will puzzle over questions with no answers. (Solso, 1974, p. 28)We have iconic, echoic, active, working, acoustic, articulatory, primary, secondary, episodic, semantic, short-term, intermediate-term, and longterm memories, and these memories contain tags, traces, images, attributes, markers, concepts, cognitive maps, natural-language mediators, kernel sentences, relational rules, nodes, associations, propositions, higher-order memory units, and features. (Eysenck, 1977, p. 4)The problem with the memory metaphor is that storage and retrieval of traces only deals [ sic] with old, previously articulated information. Memory traces can perhaps provide a basis for dealing with the "sameness" of the present experience with previous experiences, but the memory metaphor has no mechanisms for dealing with novel information. (Bransford, McCarrell, Franks & Nitsch, 1977, p. 434)7) The Results of a Hundred Years of the Psychological Study of Memory Are Somewhat DiscouragingThe results of a hundred years of the psychological study of memory are somewhat discouraging. We have established firm empirical generalisations, but most of them are so obvious that every ten-year-old knows them anyway. We have made discoveries, but they are only marginally about memory; in many cases we don't know what to do with them, and wear them out with endless experimental variations. We have an intellectually impressive group of theories, but history offers little confidence that they will provide any meaningful insight into natural behavior. (Neisser, 1978, pp. 12-13)A schema, then is a data structure for representing the generic concepts stored in memory. There are schemata representing our knowledge about all concepts; those underlying objects, situations, events, sequences of events, actions and sequences of actions. A schema contains, as part of its specification, the network of interrelations that is believed to normally hold among the constituents of the concept in question. A schema theory embodies a prototype theory of meaning. That is, inasmuch as a schema underlying a concept stored in memory corresponds to the mean ing of that concept, meanings are encoded in terms of the typical or normal situations or events that instantiate that concept. (Rumelhart, 1980, p. 34)Memory appears to be constrained by a structure, a "syntax," perhaps at quite a low level, but it is free to be variable, deviant, even erratic at a higher level....Like the information system of language, memory can be explained in part by the abstract rules which underlie it, but only in part. The rules provide a basic competence, but they do not fully determine performance. (Campbell, 1982, pp. 228, 229)When people think about the mind, they often liken it to a physical space, with memories and ideas as objects contained within that space. Thus, we speak of ideas being in the dark corners or dim recesses of our minds, and of holding ideas in mind. Ideas may be in the front or back of our minds, or they may be difficult to grasp. With respect to the processes involved in memory, we talk about storing memories, of searching or looking for lost memories, and sometimes of finding them. An examination of common parlance, therefore, suggests that there is general adherence to what might be called the spatial metaphor. The basic assumptions of this metaphor are that memories are treated as objects stored in specific locations within the mind, and the retrieval process involves a search through the mind in order to find specific memories....However, while the spatial metaphor has shown extraordinary longevity, there have been some interesting changes over time in the precise form of analogy used. In particular, technological advances have influenced theoretical conceptualisations.... The original Greek analogies were based on wax tablets and aviaries; these were superseded by analogies involving switchboards, gramophones, tape recorders, libraries, conveyor belts, and underground maps. Most recently, the workings of human memory have been compared to computer functioning... and it has been suggested that the various memory stores found in computers have their counterparts in the human memory system. (Eysenck, 1984, pp. 79-80)Primary memory [as proposed by William James] relates to information that remains in consciousness after it has been perceived, and thus forms part of the psychological present, whereas secondary memory contains information about events that have left consciousness, and are therefore part of the psychological past. (Eysenck, 1984, p. 86)Once psychologists began to study long-term memory per se, they realized it may be divided into two main categories.... Semantic memories have to do with our general knowledge about the working of the world. We know what cars do, what stoves do, what the laws of gravity are, and so on. Episodic memories are largely events that took place at a time and place in our personal history. Remembering specific events about our own actions, about our family, and about our individual past falls into this category. With amnesia or in aging, what dims... is our personal episodic memories, save for those that are especially dear or painful to us. Our knowledge of how the world works remains pretty much intact. (Gazzaniga, 1988, p. 42)The nature of memory... provides a natural starting point for an analysis of thinking. Memory is the repository of many of the beliefs and representations that enter into thinking, and the retrievability of these representations can limit the quality of our thought. (Smith, 1990, p. 1)Historical dictionary of quotations in cognitive science > Memory
См. также в других словарях:
Automatic summarization — is the creation of a shortened version of a text by a computer program. The product of this procedure still contains the most important points of the original text. The phenomenon of information overload has meant that access to coherent and… … Wikipedia
Abstract interpretation — In computer science, abstract interpretation is a theory of sound approximation of the semantics of computer programs, based on monotonic functions over ordered sets, especially lattices. It can be viewed as a partial execution of a computer… … Wikipedia
Abstract expressionism — Although the term abstract expressionism was first applied to American art in 1946 by the art critic Robert Coates, it had been first used in Germany in 1919 in the magazine Der Sturm , regarding German Expressionism. In the USA, Alfred Barr was… … Wikipedia
Abstract Expressionism — Movement in painting, originating in New York City in the 1940s. It emphasized spontaneous personal expression, freedom from accepted artistic values, surface qualities of paint, and the act of painting itself. Pollock, de Kooning, Motherwell … Glossary of Art Terms
Danny Dunn and the Automatic House — is the ninth novel in the Danny Dunn series of juvenile science fiction/adventure books written by Raymond Abrashkin and Jay Williams. The book was first published in 1965. Plot introduction Professor Bullfinch develops the House of the Future in … Wikipedia
ADT — • Abstract Data Type • Application Data Type(s) • Atlantic Daylight Time • Automatic Data Translator ( > IEEE Standard Dictionary ) • Application Development Tools (IBM) … Acronyms
ASP — • Abstract 1.) Primitive • Aggregated Switch Procurement • ARCOFI/Advanced Signal Processor • Adjunct Service Point • Association Storing Processor • Automatic Schedule Procedures • Association of Shareware Professionals (siehe http://www.asp… … Acronyms
List of mathematics articles (A) — NOTOC A A Beautiful Mind A Beautiful Mind (book) A Beautiful Mind (film) A Brief History of Time (film) A Course of Pure Mathematics A curious identity involving binomial coefficients A derivation of the discrete Fourier transform A equivalence A … Wikipedia
computer — computerlike, adj. /keuhm pyooh teuhr/, n. 1. Also called processor. an electronic device designed to accept data, perform prescribed mathematical and logical operations at high speed, and display the results of these operations. Cf. analog… … Universalium
Surrealism — SurrealismIn 1917, Guillaume Apollinaire coined the term Surrealism in the program notes describing the ballet Parade which was a collaborative work by Jean Cocteau, Erik Satie, Pablo Picasso and Léonide Massine: From this new alliance, for until … Wikipedia
List of rock instrumentals — The following is a list of rock instrumentals, including live performances and drum solos, organized by artist name. 0 9 =3= *Bramfatura =311= * Blizza * Cali Soca * Color ( Transistor ) * Dreamland ( Enlarged to Show Detail 2 ) * Old Funk *… … Wikipedia