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1 Data Manipulation Mode
File extension: DMMУниверсальный русско-английский словарь > Data Manipulation Mode
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2 DMM
1) Американизм: Domestic Mail Manual2) Военный термин: двухрежимный миномётный боеприпас (Dual-Mode Mortar Munition), ДРМБ3) Химия: Dimethylmercury4) Сокращение: Domestic Mail Manual (USPS), deep mixing method5) Электроника: Diffuse Mismatch Model, Digital Multi Meter6) Вычислительная техника: direct metal mastering, управление динамической памятью7) СМИ: Digital Music Messenger8) Деловая лексика: Direct Mail Marketing9) Сетевые технологии: digital multimeter, distributed management module, dynamic memory management, модуль распределённого управления10) Автоматика: dot matrix marking11) Инструменты: цифровой мультиметр12) Расширение файла: Data Manipulation Mode13) Программное обеспечение: Dimension Measurement Module -
3 dmm
1) Американизм: Domestic Mail Manual2) Военный термин: двухрежимный миномётный боеприпас (Dual-Mode Mortar Munition), ДРМБ3) Химия: Dimethylmercury4) Сокращение: Domestic Mail Manual (USPS), deep mixing method5) Электроника: Diffuse Mismatch Model, Digital Multi Meter6) Вычислительная техника: direct metal mastering, управление динамической памятью7) СМИ: Digital Music Messenger8) Деловая лексика: Direct Mail Marketing9) Сетевые технологии: digital multimeter, distributed management module, dynamic memory management, модуль распределённого управления10) Автоматика: dot matrix marking11) Инструменты: цифровой мультиметр12) Расширение файла: Data Manipulation Mode13) Программное обеспечение: Dimension Measurement Module -
4 dato
m.1 piece of information, fact (hecho, cifra).datos (personales) (personal) details2 Dato.pres.indicat.1st person singular (yo) present indicative of spanish verb: datar.* * *1 (información) fact, piece of information, datum■ no pudimos resolver el problema por falta de datos we couldn't solve the problem due to lack of information\datos personales personal details* * *noun m.fact, piece of information- datos* * *SM1) (=información) piece of informationun dato interesante — an interesting fact o piece of information
otro dato que tener en cuenta es... — another thing to bear in mind is...
datos personales — personal details, particulars
2) (Mat) datum* * *a) ( elemento de información) piece of informationalguien le pasó el dato a la policía — (CS) somebody informed o (colloq) tipped off the police
darle un dato a alguien — (CS) to give somebody a tip
b) datos masculino plural (Inf) data (pl), information* * *= attribute value, data element, data item, datum [data, -pl.], fact, value, piece of information.Ex. Others have used possibility distributions for representing fuzzily known or incompletely known attribute values.Ex. The Working Group undertook to determine from the data available what data elements should be included for each type of authority.Ex. Information is held in files or databases, which are comprise of records, which in turn are comprised of fields or data items, which again may be comprised of subfields or data elements.Ex. Thus, having entered the authority datum correctly once, we could be sure that no matter how many bibliographic records used it they would all do so with mechanical consistency.Ex. Other data bases, which may be described as non-bibliographic, and are sometimes known as data banks, store actual facts and figures and text.Ex. A good initial value for this field will start the system off with a good guess so that claims for missing issues are not unreasonable at the beginning.Ex. On other occasions a user wants every document or piece of information on a topic traced, and then high recall must be sought, to the detriment of precision.----* alimentar datos = populate.* almacenamiento de datos = data storage.* añadir datos = make + additions.* archivo de datos = database [data base].* área de datos específicos de la clase de documento = material (or type of publication) specific details area.* área de datos matemáticos = mathematical data area.* auditoría de datos = data auditing, data audit.* banco de datos = data bank [databank], factual data bank.* banco de datos factual = factual data bank.* banco de datos terminológico = terminological data bank.* basado en los datos = data-driven.* basado en un gestor de bases de datos = DBMS-based.* base de datos = data bank [databank], database [data base], database software.* base de datos automatizada = computer database, computer-held database, computerised database, machine-readable database.* base de datos bibliográfica = bibliographic database.* base de datos bibliográfica de resúmenes = abstracts based bibliographic database.* base de datos catalográfica = catalogue database.* base de datos completa = full-provision database.* base de datos con información confidencial = intelligence database.* base de datos cruzada = cross database.* base de datos de acceso mediante suscripción = subscription database.* base de datos de autoridades = authority database.* base de datos de carburantes = TULSA.* base de datos de documentos primarios = source database.* base de datos de documentos secundarios = reference database.* base de datos de dominio público = public domain database.* base de datos de educación = ERIC.* base de datos de imágenes = image database, image bank.* base de datos de investigación = research database.* base de datos del gobierno de USA = CRECORD, FEDREG.* base de datos de lógica difusa = fuzzy database.* base de datos de medicina = MEDLINE.* base de datos de negocios = business database.* base de datos de pago = subscription database.* base de datos de patentes = WPI.* base de datos de propiedades = properties database.* base de datos de referencia = reference database.* base de datos de referencia a especialistas = referral database.* base de datos de registros de catálogo = catalogue record database.* base de datos de texto = text-oriented database, text database.* base de datos de texto completo = full text database.* base de datos de texto libre = free text database.* base de datos dirigida a un mercado específico = niche database.* base de datos distribuida = distributed database.* base de datos en CD-ROM = CD-ROM database.* base de datos en disco óptico = optical disc database.* base de datos en estado original = raw database.* base de datos en línea = online database.* base de datos estadística = statistical database.* base de datos externa = external database.* base de datos factual = factual database.* base de datos interna = in-house database.* base de datos jurídica = legal database.* base de datos multimedia = multimedia database.* base de datos no bibliográfica = non-bibliographic database.* base de datos numérica = numeric database, numerical database.* base de datos relacional = relational database.* base de datos residente = resident database.* base de datos terminológica = terminology database.* bloque de datos = data bloc.* bloque funcional de datos codificados = coded information block.* búfer de datos = data buffer.* bus de datos = databus.* búsqueda de datos = fact-finding.* campo de datos = datafield.* capturar datos = capture + data.* centro de datos = data centre.* codificación de datos = data-coding [data coding].* con datos no pertinentes = dirty [dirtier -comp., dirtiest -sup.].* conjunto de datos = data set [dataset].* contaminación de datos = data contamination.* corrupción de datos = data corruption.* creación de depósitos de datos = data warehousing.* creador de bases de datos = database producer.* dar datos de = give + details of.* dato concreto = hard fact.* datos = data [datum, -sing.], details, figure.* datos bibliográficos = bibliographic data, bibliodata.* datos biográficos = biodata.* datos concretos = specifics, the.* datos concretos y reales = hard data.* datos de contacto = contact details.* datos de entrada = input data.* datos de la tarjeta de crédito = credit card details.* datos demográficos = demographics.* datos desagregados por sexo = gender-disaggregated data.* datos empíricos = empirical data.* datos en bruto = raw data.* datos en estado bruto = raw facts.* datos en propiedad = property data.* datos erróneos = dirty data.* datos estadísticos = statistics, statistical data.* datos estadísticos de la biblioteca = library records, library statistics.* datos factuales = factual data.* datos legibles por máquina = machine-readable data.* datos numéricos = numerical data.* datos personales = personal details.* datos privados = property data.* de lectura de datos = data-capture.* depósito de datos = data warehouse.* depuración de datos = data cleaning.* descubrimiento de datos = data mining.* descubrimiento de información en las bases de datos = knowledge discovery in databases (KDD).* directorio de empresas en base de datos = company directory database.* dispositivo de almacenamiento de datos = store.* distribuidor de bases de datos = host system.* distribuidor de bases de datos en línea = online vendor.* EDI (Intercambio Electrónico de Datos) = EDI (Electronic Data Interchange).* entrada de datos = data entry, input, inputting.* entrada de datos sólo una vez = one-time entry.* estructura de datos = data structure.* extracción inteligente de datos = data mining.* fichero de salida de datos = communication output file.* gestión de bases de datos = database management.* gestión de datos = data handling.* gestor de bases de datos = DBMS system.* gestor de bases de datos relacionales = relational database management system.* grupo de datos = data set [dataset].* hoja con los datos básicos para Hacer Algo = data sheet [datasheet].* hoja de toma de datos = checklist [check-list], data sheet [datasheet].* impreso de recogida de datos = enquiry form, inquiry form.* industria de las bases de datos = database industry.* inserción de datos = input.* instrumento de recogida de datos = data collection instrument.* introducción de datos utilizando un teclado = keypunching.* introducir datos = key + data.* introducir datos en el ordenador = input.* introducir datos partiendo de cero = enter from + scratch.* introductor de datos en un ordenador = inputter.* limpieza de datos = data cleaning.* lista de datos = fact finder.* localización de datos = addressing.* manipulación de datos = data manipulation.* memoria intermedia de datos = data buffer.* memorizar datos = memorise + facts.* meta base de datos = meta-database.* migración de datos = data migration.* minería de datos = data mining.* modo de introducción de datos = input mode.* montar una base de datos = mount + database.* norma de entrada de datos = input standard.* operación sobre datos = data manipulation.* operario de entrada de datos = data entry operator.* paquete de entrada y comprobación de datos = data entry and validation package.* pérdida de datos = data loss.* personal de proceso de datos = operation staff.* preparación de los datos = data preparation.* procesamiento de datos = data processing.* procesamiento de datos numéricos = number-crunching.* proceso de datos = data processing, transaction processing.* productor de bases de datos = database producer.* programa de gestión de bases de datos = database management software.* protección de datos = data protection.* prototipo para el proceso de datos = data modelling.* proveedor de bases de datos = database provider.* recabar datos = solicit + data.* recoger datos = collect + data.* recoger datos para hacer estadísticas = collect + statistics.* recogida de datos = data collection, data gathering [data-gathering], fact-gathering, reporting, data collecting.* salida de datos = output.* sistema de proceso de datos = data processing system.* Sistema Internacional de Datos sobre Publicaciones Seriadas (ISDS) = ISDS (International Serials Data System).* suministrar datos = furnish + details.* suministro de datos = reporting.* tecla de borrado de datos = ERASE INPUT key.* tecla de introducción de datos = ENTER key.* técnico encargado del proceso de datos = data-processing professional.* tiempo de descarga de datos = download time, latency.* tráfico de datos de un modo intermitente = bursty traffic.* transformación de datos = data transformation.* transmisión de datos = data-flow, data transfer, data transmission.* tratamiento de datos = transaction processing.* unidad de datos = unit of data.* verificación de los datos = fact checking.* vía de transmisión de datos = data pathway, pathway.* * *a) ( elemento de información) piece of informationalguien le pasó el dato a la policía — (CS) somebody informed o (colloq) tipped off the police
darle un dato a alguien — (CS) to give somebody a tip
b) datos masculino plural (Inf) data (pl), information* * *= attribute value, data element, data item, datum [data, -pl.], fact, value, piece of information.Ex: Others have used possibility distributions for representing fuzzily known or incompletely known attribute values.
Ex: The Working Group undertook to determine from the data available what data elements should be included for each type of authority.Ex: Information is held in files or databases, which are comprise of records, which in turn are comprised of fields or data items, which again may be comprised of subfields or data elements.Ex: Thus, having entered the authority datum correctly once, we could be sure that no matter how many bibliographic records used it they would all do so with mechanical consistency.Ex: Other data bases, which may be described as non-bibliographic, and are sometimes known as data banks, store actual facts and figures and text.Ex: A good initial value for this field will start the system off with a good guess so that claims for missing issues are not unreasonable at the beginning.Ex: On other occasions a user wants every document or piece of information on a topic traced, and then high recall must be sought, to the detriment of precision.* alimentar datos = populate.* almacenamiento de datos = data storage.* añadir datos = make + additions.* archivo de datos = database [data base].* área de datos específicos de la clase de documento = material (or type of publication) specific details area.* área de datos matemáticos = mathematical data area.* auditoría de datos = data auditing, data audit.* banco de datos = data bank [databank], factual data bank.* banco de datos factual = factual data bank.* banco de datos terminológico = terminological data bank.* basado en los datos = data-driven.* basado en un gestor de bases de datos = DBMS-based.* base de datos = data bank [databank], database [data base], database software.* base de datos automatizada = computer database, computer-held database, computerised database, machine-readable database.* base de datos bibliográfica = bibliographic database.* base de datos bibliográfica de resúmenes = abstracts based bibliographic database.* base de datos catalográfica = catalogue database.* base de datos completa = full-provision database.* base de datos con información confidencial = intelligence database.* base de datos cruzada = cross database.* base de datos de acceso mediante suscripción = subscription database.* base de datos de autoridades = authority database.* base de datos de carburantes = TULSA.* base de datos de documentos primarios = source database.* base de datos de documentos secundarios = reference database.* base de datos de dominio público = public domain database.* base de datos de educación = ERIC.* base de datos de imágenes = image database, image bank.* base de datos de investigación = research database.* base de datos del gobierno de USA = CRECORD, FEDREG.* base de datos de lógica difusa = fuzzy database.* base de datos de medicina = MEDLINE.* base de datos de negocios = business database.* base de datos de pago = subscription database.* base de datos de patentes = WPI.* base de datos de propiedades = properties database.* base de datos de referencia = reference database.* base de datos de referencia a especialistas = referral database.* base de datos de registros de catálogo = catalogue record database.* base de datos de texto = text-oriented database, text database.* base de datos de texto completo = full text database.* base de datos de texto libre = free text database.* base de datos dirigida a un mercado específico = niche database.* base de datos distribuida = distributed database.* base de datos en CD-ROM = CD-ROM database.* base de datos en disco óptico = optical disc database.* base de datos en estado original = raw database.* base de datos en línea = online database.* base de datos estadística = statistical database.* base de datos externa = external database.* base de datos factual = factual database.* base de datos interna = in-house database.* base de datos jurídica = legal database.* base de datos multimedia = multimedia database.* base de datos no bibliográfica = non-bibliographic database.* base de datos numérica = numeric database, numerical database.* base de datos relacional = relational database.* base de datos residente = resident database.* base de datos terminológica = terminology database.* bloque de datos = data bloc.* bloque funcional de datos codificados = coded information block.* búfer de datos = data buffer.* bus de datos = databus.* búsqueda de datos = fact-finding.* campo de datos = datafield.* capturar datos = capture + data.* centro de datos = data centre.* codificación de datos = data-coding [data coding].* con datos no pertinentes = dirty [dirtier -comp., dirtiest -sup.].* conjunto de datos = data set [dataset].* contaminación de datos = data contamination.* corrupción de datos = data corruption.* creación de depósitos de datos = data warehousing.* creador de bases de datos = database producer.* dar datos de = give + details of.* dato concreto = hard fact.* datos = data [datum, -sing.], details, figure.* datos bibliográficos = bibliographic data, bibliodata.* datos biográficos = biodata.* datos concretos = specifics, the.* datos concretos y reales = hard data.* datos de contacto = contact details.* datos de entrada = input data.* datos de la tarjeta de crédito = credit card details.* datos demográficos = demographics.* datos desagregados por sexo = gender-disaggregated data.* datos empíricos = empirical data.* datos en bruto = raw data.* datos en estado bruto = raw facts.* datos en propiedad = property data.* datos erróneos = dirty data.* datos estadísticos = statistics, statistical data.* datos estadísticos de la biblioteca = library records, library statistics.* datos factuales = factual data.* datos legibles por máquina = machine-readable data.* datos numéricos = numerical data.* datos personales = personal details.* datos privados = property data.* de lectura de datos = data-capture.* depósito de datos = data warehouse.* depuración de datos = data cleaning.* descubrimiento de datos = data mining.* descubrimiento de información en las bases de datos = knowledge discovery in databases (KDD).* directorio de empresas en base de datos = company directory database.* dispositivo de almacenamiento de datos = store.* distribuidor de bases de datos = host system.* distribuidor de bases de datos en línea = online vendor.* EDI (Intercambio Electrónico de Datos) = EDI (Electronic Data Interchange).* entrada de datos = data entry, input, inputting.* entrada de datos sólo una vez = one-time entry.* estructura de datos = data structure.* extracción inteligente de datos = data mining.* fichero de salida de datos = communication output file.* gestión de bases de datos = database management.* gestión de datos = data handling.* gestor de bases de datos = DBMS system.* gestor de bases de datos relacionales = relational database management system.* grupo de datos = data set [dataset].* hoja con los datos básicos para Hacer Algo = data sheet [datasheet].* hoja de toma de datos = checklist [check-list], data sheet [datasheet].* impreso de recogida de datos = enquiry form, inquiry form.* industria de las bases de datos = database industry.* inserción de datos = input.* instrumento de recogida de datos = data collection instrument.* introducción de datos utilizando un teclado = keypunching.* introducir datos = key + data.* introducir datos en el ordenador = input.* introducir datos partiendo de cero = enter from + scratch.* introductor de datos en un ordenador = inputter.* limpieza de datos = data cleaning.* lista de datos = fact finder.* localización de datos = addressing.* manipulación de datos = data manipulation.* memoria intermedia de datos = data buffer.* memorizar datos = memorise + facts.* meta base de datos = meta-database.* migración de datos = data migration.* minería de datos = data mining.* modo de introducción de datos = input mode.* montar una base de datos = mount + database.* norma de entrada de datos = input standard.* operación sobre datos = data manipulation.* operario de entrada de datos = data entry operator.* paquete de entrada y comprobación de datos = data entry and validation package.* pérdida de datos = data loss.* personal de proceso de datos = operation staff.* preparación de los datos = data preparation.* procesamiento de datos = data processing.* procesamiento de datos numéricos = number-crunching.* proceso de datos = data processing, transaction processing.* productor de bases de datos = database producer.* programa de gestión de bases de datos = database management software.* protección de datos = data protection.* prototipo para el proceso de datos = data modelling.* proveedor de bases de datos = database provider.* recabar datos = solicit + data.* recoger datos = collect + data.* recoger datos para hacer estadísticas = collect + statistics.* recogida de datos = data collection, data gathering [data-gathering], fact-gathering, reporting, data collecting.* salida de datos = output.* sistema de proceso de datos = data processing system.* Sistema Internacional de Datos sobre Publicaciones Seriadas (ISDS) = ISDS (International Serials Data System).* suministrar datos = furnish + details.* suministro de datos = reporting.* tecla de borrado de datos = ERASE INPUT key.* tecla de introducción de datos = ENTER key.* técnico encargado del proceso de datos = data-processing professional.* tiempo de descarga de datos = download time, latency.* tráfico de datos de un modo intermitente = bursty traffic.* transformación de datos = data transformation.* transmisión de datos = data-flow, data transfer, data transmission.* tratamiento de datos = transaction processing.* unidad de datos = unit of data.* verificación de los datos = fact checking.* vía de transmisión de datos = data pathway, pathway.* * *1 (elemento de información) piece of informationno tengo más datos que el título de la obra the only thing I know about the work is its title, the only information I have about the work is its titleno dispongo de todos los datos I don't have all the information o details o factsme han dado un dato muy interesante (CS); I've been given a very interesting piece of information o ( colloq) a hot tipte voy a dar un dato, si no lo enchufas no funciona (CS hum); let me give you a tip: it won't work unless you plug it inCompuesto:* * *
Del verbo datar: ( conjugate datar)
dato es:
1ª persona singular (yo) presente indicativo
dató es:
3ª persona singular (él/ella/usted) pretérito indicativo
Multiple Entries:
datar
dato
datar ( conjugate datar) verbo intransitivo
to date;
data de hace muchos años it goes back many years
dato sustantivo masculino
datos personales personal details (pl)b)
datar
I verbo transitivo to date, put a date on
II verbo intransitivo datar de, to date back to o from: este libro data de la Edad Media, this book dates back to the Middle Ages
dato sustantivo masculino
1 piece of information 2 datos, Inform data
(pormenores) information: no tengo más datos sobre este autor, I don't have any more details about his author
datos personales, personal details
La traducción de dato es datum, pero solo se usa en situaciones muy formales. La traducción de datos es data (plural irregular). El singular más común de data es a piece of information.
' dato' also found in these entries:
Spanish:
filtrar
- filtración
- informativa
- informativo
- relevante
- consignar
- consultar
- equivocado
- falso
English:
data
- information
- tip
* * *dato nm1. [hecho, cifra] piece of information, fact;lo que necesitamos son datos concretos what we need is hard facts;el alto desempleo es un dato que hay que tener en cuenta the high level of unemployment is a factor which has to be borne in mind;datos [información] information, data;si no me das más datos, no voy a poderte aconsejar unless you give me more information, I won't be able to advise you;el ministerio aún no cuenta con todos los datos the ministry does not yet have all the information at its disposal;datos (personales) (personal) details;déjenos sus datos y nos pondremos en contacto con usted leave us your details and we will get in touch with youdatos bancarios bank details;datos estadísticos statistical data* * *m piece of information;datos pl information sg, data sg* * *dato nm1) : fact, piece of information2) datos nmpl: data, information* * *dato n (información) piece of information -
5 DML
1) Компьютерная техника: Domain Modeling Language2) Американизм: Democratic Majority Leader3) Спорт: Da Minor Leagues4) Военный термин: demolition, depot maintenance level, dual-mode laser6) Сокращение: Decision & Modelling Language, Devonport Management Ltd (UK)7) Электроника: Distributed Mode Loudspeaker8) Вычислительная техника: Data Manipulation Logic, data manipulation language, язык манипуляций с данными, Distributed Mode Loudspeaker (Audio), data manipulation language10) Фирменный знак: Dragon Models Limited11) SAP.тех. язык манипулирования данными12) НАСА: Direct Memory Load, Display Message Log -
6 DM
1) Общая лексика: hum. сокр. Myotonic Dystrophy, defensive midfielder, demand manager, менеджер по спросу, Disaster Management (управление действиями в чрезвычайных ситуациях)2) Компьютерная техника: DRAM (Dynamic Random Access Memory) Module, Daisy May, Data Manipulation, Distributed Memory3) Биология: dry matter4) Спорт: Death Match, Desperation Move5) Латинский язык: Deis Manibus, Diis Manibus6) Военный термин: Decompression Monitor, Defence Minister, Defense Medal, Destroyer Minelayer, Dissemination Manager, decision maker, deployed missile, design manual, dispersal mine, documentation manager, draft manual, driving and maintenance, dynamic model, Ди-Эм (адамсит), адамсит (вещество раздражающего действия), adamsite7) Техника: Defense Minister, Delphy method, Doppler missile, damage monitor, data master, debugging mode, decameter, decoder matrix, deflection modulation, detecting magnetometer, detecting mechanism, detection mosaic, deterministic model, developmental-instrumentation MDM-mid, diffused mesa, dipole model, disconnecting manhole, docking module, drum, dry-mixed, dual-mode method, ДМ, дельта-модуляция8) Шутливое выражение: Definitely Martin9) Химия: Dipole Moment10) Железнодорожный термин: Detroit and Mackinaw Railway Company, Lake State Railway Company11) Экономика: прямые материалы (direct material)12) Бухгалтерия: direct materials13) Автомобильный термин: drive motor14) Биржевой термин: Discourse Marker15) Грубое выражение: Dumb Master16) Музыка: Death Metal17) Телевидение: drum motor18) Телекоммуникации: Delta Modulation, Disconnected Mode (HDLC)19) Сокращение: Adamsite (Chemical warfare vomiting agent), Depot Maintenance, Deutsche Marine (German Navy), District Manager, Dominica, Dungeon Master, demand meter, diesel mechanical, dressed and matched, diabetes mellitus20) Университет: Degree Merit21) Физиология: Dextromethorphan Hydrobromide, Diastolic Murmur, Drosophila Melanogaster22) Электроника: Defect Management, Differential Mode, Digital Monolithic, data memory23) Вычислительная техника: data mining, data mode, decimal multiply, degraded minutes, Development Machine (Corel), Disconnect Mode (LAPB), организация данных24) Нефть: datum, dipmeter, drilling mud, буровой раствор (drill mud), пластовый наклономер (dipmeter), техническое обслуживание в ремонтной мастерской (depot maintenance)25) Банковское дело: немецкая марка (Deutsche Mark)26) Реклама: прямая почтовая рассылка27) Деловая лексика: Data Missing, Diaper Master, Direct Mail, Direct Marketing28) Инвестиции: Deutsche Mark, немецкие марки29) Сетевые технологии: data management, disconnect mode, disk mirroring, зеркальное дублирование, зеркальное отображение дисков, отображение дисков, режим передачи данных, режим разъединения, управление обработкой данных, Dense Mode, уплотнённый режим30) Программирование: Display Memory, Display Message, Draw More31) Сахалин А: HPU drilling module hydraulic power unit32) Химическое оружие: Design manager, adamsite, chemical nerve agent, demilitarization machine, director of management33) Нефть и газ: demineralized34) Электротехника: dependent mode, digital modulation35) Имена и фамилии: David Mayo36) Должность: Dark Mistress, Distinguished Merit, Drink Maker, Dutch Master37) Программное обеспечение: Directory Management38) Единицы измерений: Degree Of Methylation -
7 Dm
1) Общая лексика: hum. сокр. Myotonic Dystrophy, defensive midfielder, demand manager, менеджер по спросу, Disaster Management (управление действиями в чрезвычайных ситуациях)2) Компьютерная техника: DRAM (Dynamic Random Access Memory) Module, Daisy May, Data Manipulation, Distributed Memory3) Биология: dry matter4) Спорт: Death Match, Desperation Move5) Латинский язык: Deis Manibus, Diis Manibus6) Военный термин: Decompression Monitor, Defence Minister, Defense Medal, Destroyer Minelayer, Dissemination Manager, decision maker, deployed missile, design manual, dispersal mine, documentation manager, draft manual, driving and maintenance, dynamic model, Ди-Эм (адамсит), адамсит (вещество раздражающего действия), adamsite7) Техника: Defense Minister, Delphy method, Doppler missile, damage monitor, data master, debugging mode, decameter, decoder matrix, deflection modulation, detecting magnetometer, detecting mechanism, detection mosaic, deterministic model, developmental-instrumentation MDM-mid, diffused mesa, dipole model, disconnecting manhole, docking module, drum, dry-mixed, dual-mode method, ДМ, дельта-модуляция8) Шутливое выражение: Definitely Martin9) Химия: Dipole Moment10) Железнодорожный термин: Detroit and Mackinaw Railway Company, Lake State Railway Company11) Экономика: прямые материалы (direct material)12) Бухгалтерия: direct materials13) Автомобильный термин: drive motor14) Биржевой термин: Discourse Marker15) Грубое выражение: Dumb Master16) Музыка: Death Metal17) Телевидение: drum motor18) Телекоммуникации: Delta Modulation, Disconnected Mode (HDLC)19) Сокращение: Adamsite (Chemical warfare vomiting agent), Depot Maintenance, Deutsche Marine (German Navy), District Manager, Dominica, Dungeon Master, demand meter, diesel mechanical, dressed and matched, diabetes mellitus20) Университет: Degree Merit21) Физиология: Dextromethorphan Hydrobromide, Diastolic Murmur, Drosophila Melanogaster22) Электроника: Defect Management, Differential Mode, Digital Monolithic, data memory23) Вычислительная техника: data mining, data mode, decimal multiply, degraded minutes, Development Machine (Corel), Disconnect Mode (LAPB), организация данных24) Нефть: datum, dipmeter, drilling mud, буровой раствор (drill mud), пластовый наклономер (dipmeter), техническое обслуживание в ремонтной мастерской (depot maintenance)25) Банковское дело: немецкая марка (Deutsche Mark)26) Реклама: прямая почтовая рассылка27) Деловая лексика: Data Missing, Diaper Master, Direct Mail, Direct Marketing28) Инвестиции: Deutsche Mark, немецкие марки29) Сетевые технологии: data management, disconnect mode, disk mirroring, зеркальное дублирование, зеркальное отображение дисков, отображение дисков, режим передачи данных, режим разъединения, управление обработкой данных, Dense Mode, уплотнённый режим30) Программирование: Display Memory, Display Message, Draw More31) Сахалин А: HPU drilling module hydraulic power unit32) Химическое оружие: Design manager, adamsite, chemical nerve agent, demilitarization machine, director of management33) Нефть и газ: demineralized34) Электротехника: dependent mode, digital modulation35) Имена и фамилии: David Mayo36) Должность: Dark Mistress, Distinguished Merit, Drink Maker, Dutch Master37) Программное обеспечение: Directory Management38) Единицы измерений: Degree Of Methylation -
8 dm
1) Общая лексика: hum. сокр. Myotonic Dystrophy, defensive midfielder, demand manager, менеджер по спросу, Disaster Management (управление действиями в чрезвычайных ситуациях)2) Компьютерная техника: DRAM (Dynamic Random Access Memory) Module, Daisy May, Data Manipulation, Distributed Memory3) Биология: dry matter4) Спорт: Death Match, Desperation Move5) Латинский язык: Deis Manibus, Diis Manibus6) Военный термин: Decompression Monitor, Defence Minister, Defense Medal, Destroyer Minelayer, Dissemination Manager, decision maker, deployed missile, design manual, dispersal mine, documentation manager, draft manual, driving and maintenance, dynamic model, Ди-Эм (адамсит), адамсит (вещество раздражающего действия), adamsite7) Техника: Defense Minister, Delphy method, Doppler missile, damage monitor, data master, debugging mode, decameter, decoder matrix, deflection modulation, detecting magnetometer, detecting mechanism, detection mosaic, deterministic model, developmental-instrumentation MDM-mid, diffused mesa, dipole model, disconnecting manhole, docking module, drum, dry-mixed, dual-mode method, ДМ, дельта-модуляция8) Шутливое выражение: Definitely Martin9) Химия: Dipole Moment10) Железнодорожный термин: Detroit and Mackinaw Railway Company, Lake State Railway Company11) Экономика: прямые материалы (direct material)12) Бухгалтерия: direct materials13) Автомобильный термин: drive motor14) Биржевой термин: Discourse Marker15) Грубое выражение: Dumb Master16) Музыка: Death Metal17) Телевидение: drum motor18) Телекоммуникации: Delta Modulation, Disconnected Mode (HDLC)19) Сокращение: Adamsite (Chemical warfare vomiting agent), Depot Maintenance, Deutsche Marine (German Navy), District Manager, Dominica, Dungeon Master, demand meter, diesel mechanical, dressed and matched, diabetes mellitus20) Университет: Degree Merit21) Физиология: Dextromethorphan Hydrobromide, Diastolic Murmur, Drosophila Melanogaster22) Электроника: Defect Management, Differential Mode, Digital Monolithic, data memory23) Вычислительная техника: data mining, data mode, decimal multiply, degraded minutes, Development Machine (Corel), Disconnect Mode (LAPB), организация данных24) Нефть: datum, dipmeter, drilling mud, буровой раствор (drill mud), пластовый наклономер (dipmeter), техническое обслуживание в ремонтной мастерской (depot maintenance)25) Банковское дело: немецкая марка (Deutsche Mark)26) Реклама: прямая почтовая рассылка27) Деловая лексика: Data Missing, Diaper Master, Direct Mail, Direct Marketing28) Инвестиции: Deutsche Mark, немецкие марки29) Сетевые технологии: data management, disconnect mode, disk mirroring, зеркальное дублирование, зеркальное отображение дисков, отображение дисков, режим передачи данных, режим разъединения, управление обработкой данных, Dense Mode, уплотнённый режим30) Программирование: Display Memory, Display Message, Draw More31) Сахалин А: HPU drilling module hydraulic power unit32) Химическое оружие: Design manager, adamsite, chemical nerve agent, demilitarization machine, director of management33) Нефть и газ: demineralized34) Электротехника: dependent mode, digital modulation35) Имена и фамилии: David Mayo36) Должность: Dark Mistress, Distinguished Merit, Drink Maker, Dutch Master37) Программное обеспечение: Directory Management38) Единицы измерений: Degree Of Methylation -
9 language
1) языка) естественный язык, средство человеческого общенияб) система знаков, жестов или сигналов для передачи или хранения информациив) стильг) речь2) языкознание, лингвистика•- actor language
- agent communication language
- a-hardware programming language - application-oriented language
- applicative language
- a-programming language
- artificial language
- assembler language
- assembly language
- assignment language
- author language
- authoring language - business-oriented programming language
- categorical language - configuration language
- constraint language
- combined programming language
- command language
- common language
- common business-oriented language
- compiled language
- compiler language
- computer language
- computer-dependent language - computer-oriented language
- computer-sensitive language
- concurrent language - context- sensitive language
- conversational language
- coordinate language
- database language
- database query language - data structure language
- digital system design language
- declarative language
- declarative markup language
- definitional language
- definitional constraint language
- design language
- device media control language - dynamically scoped language - elementary formalized language
- embedding language
- event-driven language
- expression language
- extensible language - formalized language - functional language
- functional programming language - graph-oriented language - high-order language
- host language - hypersymbol language
- imperative language
- in-line language
- input language
- intelligent language
- interactive language - interpreted language - Java programming language - lexically scoped language
- list-processing language
- low-level language
- machine language
- machine-independent language
- machine-oriented language
- macro language
- manipulator language - meta language
- mnemonic language
- musical language - native-mode language
- natural language - nonprocedural language
- object language
- object-oriented language - physical language
- picture query language
- portable language
- portable standard language
- polymorphic language - print control language
- problem-oriented language
- problem statement language
- procedural language
- procedure-oriented language
- program language
- programming language
- publishing language
- query language
- question-answering language
- register-transfer language
- regular language
- relational language
- right-associative language
- robot language
- robot-level language
- robotic control language
- rule language
- rule-oriented language
- scientific programming language
- script language
- scripting language - sign language
- single-assignment language
- software command language
- source language
- special-purpose programming language
- specification language - stratified language
- stream language
- string-handling language - strongly-typed language - symbolic language - thing language - tone language
- two-dimensional pictorial query language
- typed language
- typeless language
- unchecked language
- unformalized language
- universal language
- unstratified language
- untyped language
- user-oriented language
- very high-level language - well-structured programming language -
10 language
1) языка) естественный язык, средство человеческого общенияб) система знаков, жестов или сигналов для передачи или хранения информациив) стильг) речь2) языкознание, лингвистика•- a programming language
- abstract machine language
- actor language
- agent communication language
- algebraic logic functional language
- algorithmic language
- amorhic language
- application-oriented language
- applicative language
- artificial language
- assembler language
- assembly language
- assignment language
- author language
- authoring language
- axiomatic architecture description language
- basic combined programming language
- block-structured language
- boundary scan description language
- business-oriented language
- business-oriented programming language
- categorical abstract machine language
- categorical language
- cellular language
- combined programming language
- command language
- common business-oriented language
- common language
- compiled language
- compiler language
- computer hardware description language
- computer language
- computer-dependent language
- computer-independent language
- computer-oriented language
- computer-sensitive language
- concurrent language
- configuration language
- constraint language
- context-free language
- context-sensitive language
- conversational language
- coordinate language
- data definition language
- data description language
- data manipulation language
- data structure language
- database language
- database query language
- declarative language
- declarative markup language
- definitional constraint language
- definitional language
- design language
- device media control language
- digital system design language
- document style semantics and specification language
- domain-specific language
- dynamic hypertext markup language
- dynamic simulation language
- dynamically scoped language
- elementary formalized language
- embedding language
- event-driven language
- expression language
- extensible hypertext markup language
- extensible language
- extensible markup language
- fabricated language
- fifth-generation language
- first-generation language
- formal language
- formalized language
- fourth-generation language
- frame language
- function graph language
- functional language
- functional programming language
- geometrical layout description language
- graphics language
- graph-oriented language
- hardware description language
- Hewlett-Packard graphics language
- Hewlett-Packard printer control language
- high-level language
- high-order language
- host language
- hypersymbol language
- hypertext markup language plus
- hypertext markup language
- imperative language
- in-line language
- input language
- intelligent language
- interactive language
- interactive set language
- intermediate language
- interpreted language
- Java interface definition language
- Java language
- Java programming language
- job control language
- Jules' own version of the international algorithmic language
- knowledge query and manipulation language
- left-associative language
- lexically scoped language
- list-processing language
- low-level language
- machine language
- machine-independent language
- machine-oriented language
- macro language
- manipulator language
- man-machine language
- mathematical markup language
- matrix-based programming language
- meta language
- mnemonic language
- musical language
- my favorite toy language
- native language
- native-mode language
- natural language
- network control language
- network description language
- noninteractive language
- nonprocedural language
- object language
- object-oriented language
- page description language
- parallel object-oriented language
- partial differential equation language
- pattern-matching language
- physical language
- picture query language
- polymorphic language
- portable language
- portable standard language
- practical extraction and report language
- prescriptive language
- print control language
- problem statement language
- problem-oriented language
- procedural language
- procedure-oriented language
- program language
- programming language
- publishing language
- query language
- question-answering language
- register-transfer language
- regular language
- relational language
- right-associative language
- robot language
- robotic control language
- robot-level language
- rule language
- rule-oriented language
- scientific programming language
- script language
- scripting language
- second-generation language
- sense language
- server-parsed hypertext markup language
- set language
- sign language
- simulation language
- single-assignment language
- software command language
- source language
- special-purpose programming language
- specification and assertion language
- specification language
- stack-based language
- standard generalized markup language
- statically scoped language
- stratified language
- stream language
- string-handling language
- string-oriented symbolic language
- string-processing language
- strongly-typed language
- structural design language
- structured query language
- subset language
- symbolic language
- symbolic layout description language
- synchronized multimedia integration language
- target language
- thing language
- third-generation language
- threaded language
- tone language
- two-dimensional pictorial query language
- typed language
- typeless language
- unchecked language
- unformalized language
- universal language
- unstratified language
- untyped language
- user-oriented language
- very high-level language
- very-high-speed integrated circuit hardware description language
- Vienna definition language
- virtual reality modeling language
- visual language
- well-structured programming language
- wireless markup languageThe New English-Russian Dictionary of Radio-electronics > language
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11 банк данных
1. bankинформационная база; база, банк данных — data bank
2. data bankспецификация данных; определение данных — data specification
совокупность данных; данные объединенные в пул — pooled data
3. databank4. pool of data -
12 language
-
absolute language
-
algorithmical language
-
algorithmic language
-
applicative language
-
artificial language
-
assembler language
-
block-structured language
-
Boolean algebra-based language
-
Boolean based language
-
command language
-
compilative language
-
compiler language
-
computer language
-
computer-dependent language
-
computer-independent language
-
computer-oriented language
-
computer-sensitive language
-
context-free language
-
control language
-
conversational language
-
core language
-
data language
- data manipulation language -
data-base language
-
data-definition language
-
data-query language
-
declarative language
-
deduction-oriented language
-
design language
-
explicit language
-
expression-oriented language
-
extensible language
-
FG-kernel language
-
finite state language
-
formal specification language
-
function language
-
functional language
-
graphics-oriented language
-
graphics language
-
hardware-based language
-
high-level language
-
host language
-
human language
-
human-oriented language
-
hybrid language
-
imperative language
-
input language
-
instruction language
-
interactive language
-
interface language
-
intermediate language
-
interpretive language
-
job control language
-
kernel language
-
knowledge representation language
-
list-processing language
-
low-level language
-
machine language
-
machine-dependent language
-
machine-independent language
-
machine-oriented language
-
macro language
-
meta language
-
mnemonic language
-
narrative language
-
native language
-
native-mode language
-
natural language
-
NC-AM language
-
network control language
-
nonprocedural language
-
nucleus language
-
object language
-
object-oriented language
-
original language
-
parallel language
-
plain language
-
privacy language
-
problem solving language
-
problem-oriented language
-
procedural language
-
program development language
-
program language
-
programming language
-
pseudo language
-
query language
-
real-time language
-
reference language
-
regular language
-
relational language
-
retrieval language
-
robot language
-
rule language
-
semantic language
-
sentential language
-
simulation language
-
source language
-
specification description language
-
specification language
-
stratified language
-
structured language
-
symbolic language
-
system language
-
system-oriented language
-
target language
-
typed language
-
unstratified language
-
untyped language
-
user-oriented language
-
world-modeling language -
13 DML
1. data manipulation language - язык манипулирования данными; ЯМД;2. developmental-instrumentation MDM-left - опытная аппаратура развертывания манипулятора космического аппарата в левое положение;3. digitized message link - линия передачи сообщений, преобразованных в цифровую форму;4. dual-mode laser - двухрежимный лазер -
14 logic
1) логика2) логическая часть, логический узел ( ЭВМ)3) логическая схема; логические схемы, логика•- adaptive logic
- address-comparison logic
- address-recognition logic
- address-selection logic
- all-magnetic logic
- all-transistor logic
- arbitration logic
- arithmetic logic
- binary logic
- bipolar logic
- Boolean logic
- carry determination logic
- cellular logic
- circuit logic
- clocked logic
- closed-cell logic
- combinational logic
- combinatorial logic
- combinatory logic
- command decode logic
- comparison logic
- compatible logic
- complementary transistor logic
- complementary transistor-resistor logic
- computer logic
- constructive logic
- control logic
- core logic
- crisp logic
- current injection logic
- current mode logic
- current sinking logic
- current steering logic
- current-hogging logic
- custom logic
- data manipulation logic
- decryption logic
- degating logic
- derivative logic
- designer choice logic
- design-for-test logic
- differential logic
- digit logic
- diode logic
- diode-emitter coupled logic
- diode-transistor logic
- direct-coupled transistor logic
- distributed logic
- double-rail logic
- emitter-emitter-coupled transistor logic
- emitter-coupled transistor logic
- emitter-emitter-coupled logic
- emitter-coupled logic
- emitter-follower logic
- epistemic logic
- error-checking logic
- failure detection logic
- fault-masking logic
- feature logic
- field-programmable logic
- fluid logic
- formal logic
- fuzzy logic
- glue logic
- hardwired logic
- high-noise-immunity logic
- high-threshold logic
- Hoare logic
- incremental logic
- inferencial logic
- injection-coupled logic
- instruction logic
- integrated injection logic
- interface logic
- interrupt logic
- irregular logic
- Josephson junction logic
- kindred logic
- ladder logic
- level logic
- linearly independent logic
- locked-pair logic
- logic under test
- low level logic
- machine logic
- magneto-optical logic
- majority-vote logic
- majority logic
- many-valued logic
- mathematical logic
- merged logic
- merged-transistor logic
- microprogrammed logic
- microwatt logic
- microwave logic
- modal logic
- modified diode-transistor logic
- morphic logic
- multiple-valued logic
- multi-valued logic
- multiaperture device logic
- multihpase pulse logic
- nanosecond logic
- negative logic
- N-level logic
- nonmonotonic logic
- N-out-of-M logic
- N-valued logic
- on-board logic
- on-chip control logic
- optoelectronic logic
- out-of-order issue logic
- paging logic
- parametron logic
- path programmable logic
- per-bit logic
- philosophical logic
- positive logic
- possibilistic logic
- probabilistic logic
- processing logic
- programmable array logic
- programmable logic
- programmed logic
- quadded logic
- random logic
- random sequential logic
- recovery logic
- reference logic
- regular logic
- relay logic
- relevance logic
- resistor-capacitor-transistor logic
- resistor-coupled transistor logic
- resistor-diode-transistor logic
- resistor-transistor logic
- ripple-carry logic
- save-carry logic
- Schottky transistor-transistor logic
- sector-buffering logic
- self-checking logic
- self-timed logic
- sequential logic
- single-phase pulse logic
- single-sorted logic
- solid-state logic
- stored logic
- structured logic
- switching logic
- symbolic logic
- temporal logic
- ternary logic
- test logic
- three-level logic
- three-state logic
- three-value logic
- threshold logic
- timed-access logic
- timing logic
- transaction logic
- transister logic
- transistor-coupled logic
- transistor-diode logic
- transistor-resistor logic
- transistor-transistor logic
- tri-state logic
- tube-and-diode logic
- tunnel-diode logic
- two-valued logic
- unconditional logic
- user-definable logic
- variable logic
- variable threshold logic
- vertical injection logic
- wired logic
- wired-OR, wired-AND logic
- word logicEnglish-Russian dictionary of computer science and programming > logic
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15 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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