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semantic context information

Толкование Перевод

1 semantic context information

семантически контекстная информация

English-Russian electronics dictionary > semantic context information
2 semantic context information

семантически контекстная информация

The New English-Russian Dictionary of Radio-electronics > semantic context information
3 information

= info

1) информация

а) вчт данные

б) сведения; факты; новости

2) количество информации

3) информирование

4) информационная служба; служба новостей; сотрудник информационной службы или службы новостей

•

- accounting information
- analog information
- associated information
- audio information
- background information
- basic information
- binary information
- binary coded information
- business information
- chromaticity information
- ciphered information
- clock information
- coded information
- color information
- commercial information
- configuration information
- consumer information
- context information
- control information
- cookie information
- coordinate information
- critical information
- current information
- customer information
- data search information
- deciphered information
- decoded information
- descriptive information
- design information
- diagnostic information
- digital information
- digitized information
- distributed information
- document-based information
- dummy information
- electronic information
- error-free information
- essential information
- excess information
- external information
- extra information
- extraneous information
- factual information
- false information
- financial information
- framing information
- general information
- graphical information
- graphics information
- holographic information
- ID information
- identification information
- identifying information
- image information
- injected information
- input information
- interdependent information
- internal information
- macroeconomic information
- management information
- manufacturer information
- margin information
- market information
- memory-protection information
- meta-information

- misleading information
- multidimensional information
- non-essential information
- numeric information
- numerical information
- on-line information
- ordered information
- ordering information
- organizational information
- output information
- overlapping information
- pattern information
- perfect information
- pictorial information
- picture information
- politically-loaded information
- pragmatic information
- presentation control information
- pricing information
- prior information
- processed information
- processing information
- production information
- profiling information
- program chain information

- protocol control information
- raw information
- real-time information
- received information
- reduced information
- redundant information
- reference information
- relevant information
- routing information
- run-time type information
- sample information
- sampled information
- scheduling information
- secret information
- security information
- semantic context information
- sensitive information
- servo information
- side information
- signaling information
- sound information
- spoken information
- state information
- statistical information
- status information
- stock information
- stored information
- structural information
- style information
- summarized information
- symbolic information
- syntactic context information
- synthetic information
- table information
- technical information
- telemetry information
- temporal information
- text information
- textual information
- timing information
- tourist information
- traffic information
- transferred information
- transmitted information
- up-to-date information
- useful information
- user information
- video information
- visual information
- zero information

English-Russian electronics dictionary > information
4 information

1) информация

а) вчт. данные

б) сведения; факты; новости

2) количество информации

3) информирование

4) информационная служба; служба новостей; сотрудник информационной службы или службы новостей

•

- accounting information
- analog information
- associated information
- audio information
- background information
- basic information
- binary coded information
- binary information
- business information
- chromaticity information
- ciphered information
- clock information
- coded information
- color information
- commercial information
- configuration information
- consumer information
- context information
- control information
- cookie information
- coordinate information
- critical information
- current information
- customer information
- data search information
- deciphered information
- decoded information
- descriptive information
- design information
- diagnostic information
- digital information
- digitized information
- distributed information
- document-based information
- dummy information
- electronic information
- error-free information
- essential information
- excess information
- external information
- extra information
- extraneous information
- factual information
- false information
- financial information
- framing information
- general information
- graphical information
- graphics information
- holographic information
- ID information
- identification information
- identifying information
- image information
- injected information
- input information
- interdependent information
- internal information
- macroeconomic information
- management information
- manufacturer information
- margin information
- market information
- memory-protection information
- misleading information
- multidimensional information
- non-essential information
- numeric information
- numerical information
- on-line information
- ordered information
- ordering information
- organizational information
- output information
- overlapping information
- pattern information
- perfect information
- pictorial information
- picture information
- politically-loaded information
- pragmatic information
- presentation control information
- pricing information
- prior information
- processed information
- processing information
- production information
- profiling information
- program chain information
- protocol control information
- raw information
- real-time information
- received information
- reduced information
- redundant information
- reference information
- relevant information
- routing information
- run-time type information
- sample information
- sampled information
- scheduling information
- secret information
- security information
- semantic context information
- sensitive information
- servo information
- side information
- signaling information
- sound information
- spoken information
- state information
- statistical information
- status information
- stock information
- stored information
- structural information
- style information
- summarized information
- symbolic information
- syntactic context information
- synthetic information
- table information
- technical information
- telemetry information
- temporal information
- text information
- textual information
- timing information
- tourist information
- traffic information
- transferred information
- transmitted information
- up-to-date information
- useful information
- user information
- video information
- visual information
- zero information

The New English-Russian Dictionary of Radio-electronics > information
5 семантически контекстная информация

semantic context information

Русско-английский словарь по электронике > семантически контекстная информация
6 семантически контекстная информация

semantic context information

Русско-английский словарь по радиоэлектронике > семантически контекстная информация
7 relación

f.

1 relation, association, relationship, connection.

2 relation, treatment, intercourse, dealing.

3 acquaintance, relation.

4 account, recitation, narration, recital.

5 report, recountal.

6 friendship.

7 relative, member of the family, relation.

* * *

relación

► nombre femenino

1 (correspondencia) relation, relationship

■ una relación amistosa a friendship, a friendly relationship

2 (conexión) link, connection

3 (lista) list, record

4 (relato) account, telling

5 (en matemática) ratio

► nombre femenino plural relaciones

1 (conocidos) acquaintances; (contactos) contacts, connections

\

FRASEOLOGÍA

con relación a / en relación a with regard to, regarding

estar en buenas relaciones con alguien to be on good terms with somebody

estar en relación con alguien to be in contact with somebody

hacer relación a algo to refer to something

tener buenas relaciones to be well connected

tener relaciones con alguien (salir) to go out with somebody

relación de compresión TÉCNICA compression ratio

relaciones diplomáticas diplomatic relations

relaciones públicas public relations

■ es el relaciones públicas de Enya he's Enya's PR man

relaciones sexuales sexual relations

* * *

noun f.

1) relation

2) relationship

3) account

4) connection

5) liaison

•

- relaciones públicas
- relación sexual
* * *

SF

1) (=vínculo) connection

no existe ninguna relación entre los dos accidentes — there is no connection between the two accidents

existe una relación entre el tabaco y el cáncer — there is a connection o relation o relationship between cigarettes and cancer

• guardar o tener relación con algo — [suceso] to be connected with sth, be related to sth; [persona] to be connected with sth

no guardar relación (alguna) con algo — (=no parecerse) to bear no relation (whatsoever) to sth; (=no estar relacionado) to have no connection o relation (at all) with sth

relación calidad/precio — value for money

tener buena relación calidad/precio — to be good value for money

relación causa-efecto — cause and effect relationship

relación real de intercambio — terms of trade pl

2)

• con relación a, en relación a o con — (=comparado con) compared to, compared with; (=en lo referente a) with regard to, in connection with

un aumento del 3% con relación al año anterior — an increase of 3% over o compared to o compared with the previous year

con relación a la encuesta publicada por este periódico — with regard to o in connection with the survey published by this newspaper

fue interrogado en relación con el secuestro — he was questioned in connection with the kidnapping

3) (=entre personas)

a) [en el momento presente] relations pl

¿cómo es su relación o son sus relaciones con su jefe? — how are relations between you and your boss?

• estar en o mantener buenas relaciones con — [+ persona] to be on good terms with; [+ organización] to have good relations with

• romper las relaciones con — [+ país, organización] to break off relations with; [+ familiar, amigo] to break off all contact with

b) [de larga duración] relationship

¿cómo eran las relaciones con su padre? — what was your relationship with your father like?

tenía una relación de amistad con algunos de sus alumnos — he had a friendly relationship with some of his students

¿sigues manteniendo las relaciones con tus antiguos compañeros de universidad? — do you still keep in touch with people from your university days?

relaciones humanas — human relations

4) [con empresa, organización] connection

¿tiene alguna relación con esa empresa? — do you have any connection with that company?

ha sido detenido por sus relaciones con la Mafia — he has been arrested because of his connections with the Mafia

relaciones comerciales — trade relations

relaciones diplomáticas — diplomatic relations

relaciones empresariales — business relations

relaciones laborales — labour relations, labor relations (EEUU)

relaciones públicas — (=actividad) public relations, PR; (=profesional) public relations officer, PR officer

5) (tb: relación amorosa) relationship

nuestra relación duró hasta 1997 — our relationship lasted until 1997

no veían con buenos ojos sus relaciones con una extranjera — they did not view his relationship with a foreign woman favourably

tu relación de pareja — your relationship with your partner

llevan varios meses de relaciones — they've been seeing each other for some months

tienen una relación formal desde hace un año — they've been formally going out for a year

relación sentimental — relationship

6) (tb: relación sexual) (=acto) sex; (=trato) sexual relationship

mantener o tener relaciones sexuales con algn — [de forma esporádica] to have sex with sb; [de forma continuada] to be in a sexual relationship with sb

relaciones carnales — carnal relations

relaciones extramatrimoniales — extra-marital relationships

relaciones ilícitas — illicit sexual relations

relaciones prematrimoniales — premarital sex, sex before marriage

7) (=referencia)

• hacer relación a algo — to refer to sth

no hizo relación a ese tema — she did not refer to that subject

8) pl relaciones (=personas conocidas) acquaintances; (=enchufes) contacts, connections

tener (buenas) relaciones — to be well connected, have good contacts o connections

9) (Mat) (=proporción) ratio

los superan numéricamente en una relación 46-36% — they outnumber them by a ratio of 46-36%

relación de compresión — compression ratio

10) frm (=narración) account

• hacer una relación de algo — to give an account of sth

hizo una relación detallada de lo que vio — she gave a detailed account of what she saw

11) (=lista) list

la relación de aprobados se publicará en marzo — the list of those who have passed will be issued in March

el usuario dispone, junto a la factura telefónica, de una relación de sus llamadas — the customer receives, together with the telephone bill, a breakdown of calls made

12) (Jur) (=informe) record, (official) return

* * *

femenino

1)

a) ( conexión) connection

con relación a or en relación con — ( con respecto a) in connection with; ( en comparación con) relative to

en relación con su carta... — with regard to o regarding your letter...

b) ( correspondencia)

en una relación de diez a uno — (Mat) in a ratio of ten to one

tiene una excelente relación calidad-precio — it is excellent value for money

una relación causa-efecto — a relationship of cause and effect

2)

a) ( trato)

tienen una buena relación — they have a good relationship

relaciones sexuales — sexual relations

relaciones prematrimoniales — premarital sex

tener relaciones amorosas con alguien — to have an affair with somebody

estoy en buenas relaciones con él — I'm on good terms with him

relaciones diplomáticas/comerciales — diplomatic/trade relations

es nulo en lo que respecta a las relaciones humanas — he's hopeless when it comes to dealing with people

las relaciones entre padres e hijos — the relationship between parents and their children

b) relaciones femenino plural ( influencias) contacts (pl), connections (pl)

- relaciones públicas

3)

a) ( exposición) account

hizo una detallada relación de los hechos — she gave a detailed account of the facts

b) ( lista) list

* * *

= association, chaining, connection [connexion], connectivity, dealing, interaction, interplay, involvement, link, ratio, relation, relationship, relationship link, relatedness, alliance, liaison, exposure, tie, tie-up.

Ex. It is possible and convenient to select a viewpoint on the scope, associations and labels for subjects which coincides with the way in which subjects are handled in the literature.

Ex. The information seeking patterns of a variety of academic social scientists were broken down into 6 characteristics: starting; chaining; browsing; differentiating; monitoring; and extracting.

Ex. Access is via modified television set, a telephone (and its connections) and a simple keypad.

Ex. An information system architecture defines a structure for describing communications connectivity between users of information and sources of information.

Ex. The most serious problem for librarians in their dealings with media materials is the massive multiplication of formats, making it difficult for librarians to decide what to buy in what format.

Ex. One trend for the future is likely to be the development of hosts which are designed for interaction with the end user.

Ex. In the case of the book, it is the interplay of such multifarious trends that will determine its destiny.

Ex. Clearly, anyone having any dealings at all with the CAP needs a general understanding of how the system works, at a level which is appropriate to their involvement.

Ex. Explanatory references give a little more explanation as to why the link between two names is being made in the catalogue or index.

Ex. The microfiche is a common form for catalogues and indexes, usually 208 or 270 frames per fiche, in a piece of film and with a reduction ratio of 42 or 48:1.

Ex. The catalogue often forms the basis for co-operation and good relations between the libraries in a region.

Ex. Related works are separately catalogued works that have a relationship to another work.

Ex. The bibliographic record for the volume is also a monographic record, but with a series entry and a relationship link to the bibliographic record for the series as a whole.

Ex. The frequency of co-occurrence of articles from different subfields in selected periodicals is used for measuring the degree of relatedness between these subfields.

Ex. This type of alliance is already evident in countries like Thailand, where library science students and educators have been actively involved in writing and illustrating children's books.

Ex. It is important to make sure that there is close liaison between the cataloguing department and the order department, otherwise cards are liable to be ordered twice or in insufficient quantity to meet the total demand.

Ex. This article also examines the need for exposure to AI by all students in order to become familiar with capabilities and limitations of AI-based systems.

Ex. Eastern European countries longing for western scientific ties have wanted to participate in the Internet for a long time, but were excluded by government regulations.

Ex. The report of findings may consist simply of a few pages, or be a trends and proposals report, or may suggest tie-ups with other groups.

----

* beneficios en relación con la inversión = return on investment (ROI).

* bloque funcional de relaciones entre registros = linking entry block.

* buena relación calidad-precio = value for money.

* buscar el origen de la relación entre = trace + the relationship between.

* campaña de relaciones públicas = public relations campaign.

* campo de relación = linking field.

* con relación a = as regards, re, in relation to, in connection with, regarding, concerning.

* crear relaciones = structure + relationships.

* definir relaciones = structure + relationships.

* de segunda importancia en relación con = secondary to.

* diagrama de relaciones = relationship display.

* encargado de relaciones públicas = public liaison.

* en relación a = as for.

* en relación con = in association with, in conjunction with, in connection with, in relation to, in respect of, in terms of, in the way of, relating to, relative to, vis à vis, with reference to, with regard(s) to, apropos of, as it relates to, in the context of, on the matter of, re, regarding, apropos to, in reference to, concerning, in keeping with.

* en relación proporcional con = in proportion to.

* entablar relaciones = enter into + relations, enter into + relationships, build + relationships, develop + relationships, develop + relations, build + relations.

* entablar relaciones comerciales = transact.

* entablar relaciones con = forge + links with, forge + relationships with, forge + ties.

* establecer relaciones = build + relationships, develop + relationships, develop + relations, build + relations, structure + relationships.

* establecer relaciones con = forge + links with, forge + relationships with, forge + ties.

* estrechar la relación = strengthen + links.

* estropear una relación = poison + a relationship.

* fortalecer la relación = strengthen + links.

* ganancias en relación con la inversión = return on investment (ROI).

* grado de relación = relatedness measure.

* guardar relación con = bear + relation to, stand in + relation to, stand in + relationship to, bear + relationship to, be commensurate with.

* guardar una relación directamente proporcional = vary + proportionately.

* guardar una relación inversamente proporcional = vary + inversely.

* hacer una relación de = list.

* indicador de relación = relation indicator, relational operator, role operator.

* ley de relación exponencial inversa al cuadrado = inverse square law.

* ley de relación exponencial inversa al cubo = inverse cube law.

* mantener relaciones = maintain + contact, maintain + relationships, maintain + relations.

* mantener relaciones comerciales = do + business.

* mantener una relación con = carry on + relationship with.

* mejor relación calidad-precio, la = best value for money, the.

* negar tener relación con = disclaim + connection with.

* no guardar relación con = be incommensurate with.

* número de relación = linking number.

* operador de relación = link, relational operator, linking device.

* persona encargada de las relaciones públicas = PR man [PR men, -pl.].

* poner en relación = bring into + relationship.

* que guarde relación con = in keeping with.

* relación "es un tipo de" = is-a relationship.

* relación afín = affinitive relationship.

* relación amorosa = love affair.

* relación ascendente = upward reference.

* relación asociativa = associative relation, collateral link, collateral reference.

* relación calidad-precio = price-performance ratio.

* relación causa-efecto = cause-effect relation, causal relationship.

* relación clase-tipo = type-token ratio.

* relación comparativa = comparative relation.

* relación consecutiva = consecutive relation.

* relación contractual = contractual relationship.

* relación coordinada = coordinate relation.

* relación costes-beneficios = cost-benefit ratio.

* relación costos-beneficios = cost-benefit ratio.

* relación de aplicación = bias relation.

* relación de confianza = trusting relationship.

* relación de contenido = contents notes.

* relación de equivalencia = equivalence relationship.

* relación de inclusión = part-whole relation.

* relación de poder = power relationship.

* relación de preferencia = preferential relation, preferential relationship.

* relación descendente = downward reference.

* relación de trabajo = working relation, working relationship, work relationship, work relation.

* relación directa = direct relationship, linear relationship, linear relation.

* relación directamente proporcional significativa = significant direct relationship.

* relación directa significativa = significant direct relationship.

* relación entre compañeros = peer interaction.

* relación entre cuasisinónimos = near-synonymous relationship.

* relaciones = intercourse.

* relaciones comerciales = business dealings, commercial relations, trade relations.

* relaciones de género = gender relations.

* relaciones de poder = power relations.

* relaciones diplomáticas = diplomatic relations.

* relaciones entre hombres y mujeres = gender relations.

* relaciones humanas = human relations, human relationships.

* relaciones industriales = industrial relations.

* relaciones jerárquicas = role relationships.

* relaciones laborales = labour relations, employment relations.

* relación específica = downward reference.

* relaciones prematrimoniales = premarital sex.

* relaciones públicas = public relations (PR), PR activities, public relations exercise, public liaison.

* relaciones sexuales = sexual intercourse, intercourse.

* relaciones sexuales promiscuas = casual sex(ual) encounters, casual sex.

* relaciones sociales = social relations.

* relación estrecha = close contact.

* relación formal = formal relation.

* relación genérica = generic relation, generic relationship, upwards link, upward reference.

* relación género/especie = genus/species relationship.

* relación internacional = international relation.

* relación interracial = interracial relationship.

* relación inversa = inverse relationship.

* relación inversamente proporcional significativa = inverse relationship, significant inverse relationship.

* relación inversa significativa = significant inverse relationship.

* relación jerárquica = hierarchical relation, hierarchical relationship.

* relación laboral = working relation, working relationship, work relationship, work relation.

* relación negativa = negative relationship.

* relación parte-todo = whole/part relationship, whole-part relationship.

* relación positiva = positive relationship.

* relación semántica = semantic relation, semantic relationship.

* relación sexual = sexual relationship.

* relación sexual sin protección = unprotected sex.

* relación simbiótica = symbiotic relationship.

* relación sintáctica = syntactic relation, syntactic relationship, syntactical relationship.

* relativo a la relación costos-beneficios = cost-benefit, cost-benefit.

* romper una relación = break off + relationship, sever + connection.

* sin relación = unrelated, unconnected.

* sin relación con = unrelated to.

* sociología de las relaciones industriales = industrial sociology, sociology of industrial relations.

* tener relación con = have + bearing on.

* tener relaciones amorosas = have + an affair.

* tener relaciones con = have + dealings with.

* tener relaciones sexuales con = have + intercourse with.

* * *

femenino

1)

a) ( conexión) connection

con relación a or en relación con — ( con respecto a) in connection with; ( en comparación con) relative to

en relación con su carta... — with regard to o regarding your letter...

b) ( correspondencia)

en una relación de diez a uno — (Mat) in a ratio of ten to one

tiene una excelente relación calidad-precio — it is excellent value for money

una relación causa-efecto — a relationship of cause and effect

2)

a) ( trato)

tienen una buena relación — they have a good relationship

relaciones sexuales — sexual relations

relaciones prematrimoniales — premarital sex

tener relaciones amorosas con alguien — to have an affair with somebody

estoy en buenas relaciones con él — I'm on good terms with him

relaciones diplomáticas/comerciales — diplomatic/trade relations

es nulo en lo que respecta a las relaciones humanas — he's hopeless when it comes to dealing with people

las relaciones entre padres e hijos — the relationship between parents and their children

b) relaciones femenino plural ( influencias) contacts (pl), connections (pl)

- relaciones públicas

3)

a) ( exposición) account

hizo una detallada relación de los hechos — she gave a detailed account of the facts

b) ( lista) list

* * *

= association, chaining, connection [connexion], connectivity, dealing, interaction, interplay, involvement, link, ratio, relation, relationship, relationship link, relatedness, alliance, liaison, exposure, tie, tie-up.

Ex: It is possible and convenient to select a viewpoint on the scope, associations and labels for subjects which coincides with the way in which subjects are handled in the literature.

Ex: The information seeking patterns of a variety of academic social scientists were broken down into 6 characteristics: starting; chaining; browsing; differentiating; monitoring; and extracting.

Ex: Access is via modified television set, a telephone (and its connections) and a simple keypad.

Ex: An information system architecture defines a structure for describing communications connectivity between users of information and sources of information.

Ex: The most serious problem for librarians in their dealings with media materials is the massive multiplication of formats, making it difficult for librarians to decide what to buy in what format.

Ex: One trend for the future is likely to be the development of hosts which are designed for interaction with the end user.

Ex: In the case of the book, it is the interplay of such multifarious trends that will determine its destiny.

Ex: Clearly, anyone having any dealings at all with the CAP needs a general understanding of how the system works, at a level which is appropriate to their involvement.

Ex: Explanatory references give a little more explanation as to why the link between two names is being made in the catalogue or index.

Ex: The microfiche is a common form for catalogues and indexes, usually 208 or 270 frames per fiche, in a piece of film and with a reduction ratio of 42 or 48:1.

Ex: The catalogue often forms the basis for co-operation and good relations between the libraries in a region.

Ex: Related works are separately catalogued works that have a relationship to another work.

Ex: The bibliographic record for the volume is also a monographic record, but with a series entry and a relationship link to the bibliographic record for the series as a whole.

Ex: The frequency of co-occurrence of articles from different subfields in selected periodicals is used for measuring the degree of relatedness between these subfields.

Ex: This type of alliance is already evident in countries like Thailand, where library science students and educators have been actively involved in writing and illustrating children's books.

Ex: It is important to make sure that there is close liaison between the cataloguing department and the order department, otherwise cards are liable to be ordered twice or in insufficient quantity to meet the total demand.

Ex: This article also examines the need for exposure to AI by all students in order to become familiar with capabilities and limitations of AI-based systems.

Ex: Eastern European countries longing for western scientific ties have wanted to participate in the Internet for a long time, but were excluded by government regulations.

Ex: The report of findings may consist simply of a few pages, or be a trends and proposals report, or may suggest tie-ups with other groups.

* beneficios en relación con la inversión = return on investment (ROI).

* bloque funcional de relaciones entre registros = linking entry block.

* buena relación calidad-precio = value for money.

* buscar el origen de la relación entre = trace + the relationship between.

* campaña de relaciones públicas = public relations campaign.

* campo de relación = linking field.

* con relación a = as regards, re, in relation to, in connection with, regarding, concerning.

* crear relaciones = structure + relationships.

* definir relaciones = structure + relationships.

* de segunda importancia en relación con = secondary to.

* diagrama de relaciones = relationship display.

* encargado de relaciones públicas = public liaison.

* en relación a = as for.

* en relación con = in association with, in conjunction with, in connection with, in relation to, in respect of, in terms of, in the way of, relating to, relative to, vis à vis, with reference to, with regard(s) to, apropos of, as it relates to, in the context of, on the matter of, re, regarding, apropos to, in reference to, concerning, in keeping with.

* en relación proporcional con = in proportion to.

* entablar relaciones = enter into + relations, enter into + relationships, build + relationships, develop + relationships, develop + relations, build + relations.

* entablar relaciones comerciales = transact.

* entablar relaciones con = forge + links with, forge + relationships with, forge + ties.

* establecer relaciones = build + relationships, develop + relationships, develop + relations, build + relations, structure + relationships.

* establecer relaciones con = forge + links with, forge + relationships with, forge + ties.

* estrechar la relación = strengthen + links.

* estropear una relación = poison + a relationship.

* fortalecer la relación = strengthen + links.

* ganancias en relación con la inversión = return on investment (ROI).

* grado de relación = relatedness measure.

* guardar relación con = bear + relation to, stand in + relation to, stand in + relationship to, bear + relationship to, be commensurate with.

* guardar una relación directamente proporcional = vary + proportionately.

* guardar una relación inversamente proporcional = vary + inversely.

* hacer una relación de = list.

* indicador de relación = relation indicator, relational operator, role operator.

* ley de relación exponencial inversa al cuadrado = inverse square law.

* ley de relación exponencial inversa al cubo = inverse cube law.

* mantener relaciones = maintain + contact, maintain + relationships, maintain + relations.

* mantener relaciones comerciales = do + business.

* mantener una relación con = carry on + relationship with.

* mejor relación calidad-precio, la = best value for money, the.

* negar tener relación con = disclaim + connection with.

* no guardar relación con = be incommensurate with.

* número de relación = linking number.

* operador de relación = link, relational operator, linking device.

* persona encargada de las relaciones públicas = PR man [PR men, -pl.].

* poner en relación = bring into + relationship.

* que guarde relación con = in keeping with.

* relación "es un tipo de" = is-a relationship.

* relación afín = affinitive relationship.

* relación amorosa = love affair.

* relación ascendente = upward reference.

* relación asociativa = associative relation, collateral link, collateral reference.

* relación calidad-precio = price-performance ratio.

* relación causa-efecto = cause-effect relation, causal relationship.

* relación clase-tipo = type-token ratio.

* relación comparativa = comparative relation.

* relación consecutiva = consecutive relation.

* relación contractual = contractual relationship.

* relación coordinada = coordinate relation.

* relación costes-beneficios = cost-benefit ratio.

* relación costos-beneficios = cost-benefit ratio.

* relación de aplicación = bias relation.

* relación de confianza = trusting relationship.

* relación de contenido = contents notes.

* relación de equivalencia = equivalence relationship.

* relación de inclusión = part-whole relation.

* relación de poder = power relationship.

* relación de preferencia = preferential relation, preferential relationship.

* relación descendente = downward reference.

* relación de trabajo = working relation, working relationship, work relationship, work relation.

* relación directa = direct relationship, linear relationship, linear relation.

* relación directamente proporcional significativa = significant direct relationship.

* relación directa significativa = significant direct relationship.

* relación entre compañeros = peer interaction.

* relación entre cuasisinónimos = near-synonymous relationship.

* relaciones = intercourse.

* relaciones comerciales = business dealings, commercial relations, trade relations.

* relaciones de género = gender relations.

* relaciones de poder = power relations.

* relaciones diplomáticas = diplomatic relations.

* relaciones entre hombres y mujeres = gender relations.

* relaciones humanas = human relations, human relationships.

* relaciones industriales = industrial relations.

* relaciones jerárquicas = role relationships.

* relaciones laborales = labour relations, employment relations.

* relación específica = downward reference.

* relaciones prematrimoniales = premarital sex.

* relaciones públicas = public relations (PR), PR activities, public relations exercise, public liaison.

* relaciones sexuales = sexual intercourse, intercourse.

* relaciones sexuales promiscuas = casual sex(ual) encounters, casual sex.

* relaciones sociales = social relations.

* relación estrecha = close contact.

* relación formal = formal relation.

* relación genérica = generic relation, generic relationship, upwards link, upward reference.

* relación género/especie = genus/species relationship.

* relación internacional = international relation.

* relación interracial = interracial relationship.

* relación inversa = inverse relationship.

* relación inversamente proporcional significativa = inverse relationship, significant inverse relationship.

* relación inversa significativa = significant inverse relationship.

* relación jerárquica = hierarchical relation, hierarchical relationship.

* relación laboral = working relation, working relationship, work relationship, work relation.

* relación negativa = negative relationship.

* relación parte-todo = whole/part relationship, whole-part relationship.

* relación positiva = positive relationship.

* relación semántica = semantic relation, semantic relationship.

* relación sexual = sexual relationship.

* relación sexual sin protección = unprotected sex.

* relación simbiótica = symbiotic relationship.

* relación sintáctica = syntactic relation, syntactic relationship, syntactical relationship.

* relativo a la relación costos-beneficios = cost-benefit, cost-benefit.

* romper una relación = break off + relationship, sever + connection.

* sin relación = unrelated, unconnected.

* sin relación con = unrelated to.

* sociología de las relaciones industriales = industrial sociology, sociology of industrial relations.

* tener relación con = have + bearing on.

* tener relaciones amorosas = have + an affair.

* tener relaciones con = have + dealings with.

* tener relaciones sexuales con = have + intercourse with.

* * *

relación

feminine

A

1 (conexión) connection

esto no tiene or no guarda ninguna relación con los hechos this has no connection with o bears no relation to the facts

existe una relación entre los dos sucesos there is a connection o link between the two events

con relación a or en relación con (con respecto a) in connection with; (en comparación con) relative to

en relación con su carta de fecha … in connection with o with regard to your letter dated …

hubo un descenso con relación al año anterior there was a decrease relative to the previous year

2

(correspondencia): en una relación de diez a uno ( Mat) in a ratio of ten to one

tiene una excelente relación calidad-precio it is excellent value for money

una relación causa-efecto a relationship of cause and effect

Compuesto:

relación de equivalencia

equivalence relation

B

1

(trato): ha establecido una buena relación con él she has built up a good relationship with him

relaciones amistosas/sexuales friendly/sexual relations

relaciones prematrimoniales premarital sex

tuvo relaciones amorosas con una famosa actriz he had an affair with a famous actress

mantienen relaciones formales desde hace años they have been courting for years

siempre ha tenido muy buenas relaciones con su jefe she has always had o enjoyed a very good relationship with her boss

ahora estoy en buenas relaciones con él I'm on good terms with him now

relaciones comerciales trading o trade relations

han roto las relaciones diplomáticas they have broken off diplomatic relations

es nulo en lo que respecta a las relaciones humanas he's hopeless when it comes to dealing with people o when it comes to the human side of things

las relaciones entre padres e hijos the relationship between parents and their children

2 relaciones fpl (influencias) contacts (pl), connections (pl)

tiene buenas relaciones en la empresa he has some good contacts o connections in the company

Compuestos:

● relaciones exteriores

fpl foreign affairs (pl)

● relaciones públicas

A fpl (actividad) public relations (pl)

B masculine and feminine (persona) public relations officer ( o executive etc)

C

1 (exposición) account

hizo una detallada relación de los hechos she gave a detailed account of the facts

2 (lista) list

* * *

relación sustantivo femenino
1
a) ( conexión) connection;

con relación a or en relación con ( con respecto a) in connection with;
( en comparación con) relative to;
◊ en relación con su carta … with regard to o regarding your letter …

b) ( correspondencia):

◊ en una relación de diez a uno (Mat) in a ratio of ten to one;

una relación causa-efecto a relationship of cause and effect
2
a) ( entre personas) relationship;

◊ las relaciones entre padres e hijos the relationship between parents and their children;

estoy en buenas relaciones con él I'm on good terms with him
b)

◊ relaciones sustantivo femenino plural ( influencias) contacts (pl), connections (pl);

(trato comercial, diplomático) relations (pl);
( trato carnal) sex;
◊ relaciones exteriores foreign affairs;

relaciones prematrimoniales premarital sex;
relaciones públicas ( actividad) public relations (pl);

( persona) public relations officer;
(de cantante, artista) PR;
◊ relaciones sexuales sexual relations

3
a) ( exposición) account

b) ( lista) list

relación sustantivo femenino
1 (entre personas) relationship: no tengo relación alguna con ellos, I don't maintain any form of contact with them
estar en buenas relaciones con alguien, to be on good terms with sb
tener relaciones influyentes, to have good contacts
2 (entre ideas o cosas) connection, relation
con relación a su pregunta, regarding your question
3 (de nombres, elementos, etc) list
4 (de un hecho o situación) account: la relación de los hechos es algo confusa, the description of the facts is somewhat confusing
5 Mat ratio, proportion
6 relaciones públicas, (actividad) public relations
(persona) public relations officer
' relación' also found in these entries:
Spanish:
ajena
- ajeno
- causa
- cimentar
- comercio
- con
- consonancia
- cortar
- definitivamente
- desconectarse
- enlace
- enrarecerse
- entrañable
- escarceo
- extramatrimonial
- hermandad
- intimidad
- laboral
- lazo
- murmuración
- paréntesis
- proporción
- regañar
- relucir
- rencilla
- romperse
- salir
- sexo
- tambalearse
- tempestuosa
- tempestuoso
- tirantez
- trabajada
- trabajado
- tratar
- tratarse
- trato
- ver
- vendedor
- vendedora
- asfixiante
- asunto
- aventura
- clandestino
- comunicación
- conexión
- conocer
- consolidar
- correspondencia
- desgastar
English:
association
- bearing
- blossom
- breakup
- bust up
- close
- commensurate
- connect
- connected
- connection
- damage
- fall apart
- intimate
- involvement
- liaison
- money
- of
- pertinent
- record
- relation
- relationship
- rob
- stormy
- strain
- strained
- strengthen
- terminate
- to
- two-timer
- unrelated
- value
- walk out
- acquaintance
- disclaim
- further
- involve
- irrelevant
- obviously
- put
- rapport
- re
- reference
- regard
- relevance
- unconnected

* * *

relación

♦ nf

1. [nexo] relation, connection;

con relación a, en relación con in relation to, with regard to;

no hay ninguna relación entre los dos secuestros the two kidnappings are unrelated o unconnected;

guardar relación con algo to be related to sth;

no guardar relación con algo to bear no relation to sth;

Comp
relación calidad-precio value for money;
relación costo-beneficio o Esp coste-beneficio cost-benefit ratio

2. [comunicación, trato] relations, relationship;

mantener relaciones con alguien to keep in touch with sb;

tener o [m5] mantener buenas relaciones con alguien to be on good terms with sb

Comp
relaciones comerciales [vínculos] business links; [comercio] trade;
relaciones diplomáticas diplomatic relations;

han roto las relaciones diplomáticas they have broken off diplomatic relations;

relaciones internacionales international relations;

relaciones laborales industrial relations;

relación de pareja: [m5] los problemas de las relaciones de pareja relationship problems;

dice que no necesita de la relación de pareja she says she doesn't need to be in a relationship with anybody;

relaciones de parentesco kinship;

relaciones personales personal relationships;

relaciones públicas [actividad] public relations, PR

3. [lista] list

4. [descripción] account

5. [informe] report

6.
relaciones [noviazgo] relationship;

llevan cinco años de relaciones they've been going out together for five years;

un cursillo sobre las relaciones de pareja a course on being in a relationship;

relaciones prematrimoniales premarital sex;

mantener relaciones prematrimoniales to have premarital sex;

relaciones sexuales sexual relations

7.
relaciones [contactos] contacts, connections;

tener buenas relaciones to be well connected

8. Mat ratio

♦ nmf inv
relaciones públicas [persona] public relations officer, PR officer
* * *

relación

f

1 relationship;

la relación calidad-precio es muy buena it’s good value for money;

relación causa-efecto cause and effect relationship;

mantener relaciones (amorosas) con alguien have an affair with s.o.

2 ( conexión) relation;

no guardar relación con bear no relation to;

con o

en relación a with o in relation to

* * *

relación nf, pl - ciones

1) : relation, connection, relevance

2) : relationship

3) relato: account

4) lista: list

5)

con relación a or

en relación con : in relation to, concerning

6)

relacionespúblicas : public relations

* * *

relación n

1. (trato) relationship

tengo una buena relación con mis padres I've got a good relationship with my parents

mantienen una relación amistosa they are friends

2. (correspondencia, unión) connection

no sé qué relación hay entre estos hechos I don't know what the connection is between these events

con relación a / en relación con with regard to / in relation to

relaciones públicas public relations

Spanish-English dictionary > relación
8 Artificial Intelligence

   1) Programs and the Complexity of Human Mental Processes

   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)

   2) Artificial Intelligence Is an Engineering Discipline

   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)

   3) A Sceptical View of Artificial Intelligence

   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, Eventually

   Just 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 Program

   Many 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)

   6) The Meaning of a Symbolic Description

   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)

   7) The Principle of Artificial Intelligence

   [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)

   8) Artificial Intelligence Recognizes the Need for Knowledge in Its Systems

   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 Form

   The 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)

    10) There Are Many Types of Reasoning

   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)

    11) Programs Are Beginning to Do Things That Critics Have Asserted to Be Impossible

   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)

    12) The Synthesis of Man and Machine

   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)

    13) The Thesis of Good Old-Fashioned Artificial Intelligence (GOFAI)

   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 Formation

   It 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)

    15) Four Kinds of Artificial Intelligence

   We might distinguish among four kinds of AI.

   ♦ Nonpsychological 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.

   ♦ Weak Psychological AI

   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.

   ♦ Strong Psychological AI

... 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)

   ♦ Suprapsychological AI

   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 Contexts

   Even 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)

    17) Form and Content Are Not Fundamentally Different

   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)

    18) The Assumption That the Mind Is a Formal System

   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 Intelligence

   The 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)

    20) Mathematical Logic Provides the Basis for Theory in AI

   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 Propositions

   In 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)

    22) Definitions of Artificial Intelligence

   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)

    23) The Computer Can Not Be a Model of the Mind

   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)

    24) Computers Will Not Always Be Inferior to Human Brains

   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
9 semántico

adj.

semantic, relative to the meaning and context of words, semantical.

* * *

semántico

► adjetivo

1 semantic

* * *

ADJ semantic

* * *

- ca adjetivo semantic

* * *

= semantic.

Ex. There would be obvious advantages in relating retrieval discussions to semantic issues to prepare for the more complex forms of information systems in the offing.

----

* anotación semántica = semantic annotation.

* demencia semántica = semantic dementia.

* relación semántica = semantic relation, semantic relationship.

* web semántica, la = semantic web, the.

* * *

- ca adjetivo semantic

* * *

= semantic.

Ex: There would be obvious advantages in relating retrieval discussions to semantic issues to prepare for the more complex forms of information systems in the offing.

* anotación semántica = semantic annotation.

* demencia semántica = semantic dementia.

* relación semántica = semantic relation, semantic relationship.

* web semántica, la = semantic web, the.

* * *

semántico -ca

adjective

semantic

* * *

semántico
◊ -ca adjetivo

semantic

' semántico' also found in these entries:
English:
semantic

* * *

semántico, -a adj

semantic

* * *

semántico

adj semantic

* * *

semántico, -ca adj

: semantic

Spanish-English dictionary > semántico
10 Bibliography

■ Aitchison, J. (1987). Noam Chomsky: Consensus and controversy. New York: Falmer Press.

■ Anderson, J. R. (1980). Cognitive psychology and its implications. San Francisco: W. H. Freeman.

■ Anderson, J. R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press.

■ Anderson, J. R. (1995). Cognitive psychology and its implications (4th ed.). New York: W. H. Freeman.

■ Archilochus (1971). In M. L. West (Ed.), Iambi et elegi graeci (Vol. 1). Oxford: Oxford University Press.

■ Armstrong, D. M. (1990). The causal theory of the mind. In W. G. Lycan (Ed.), Mind and cognition: A reader (pp. 37-47). Cambridge, MA: Basil Blackwell. (Originally published in 1981 in The nature of mind and other essays, Ithaca, NY: University Press).

■ Atkins, P. W. (1992). Creation revisited. Oxford: W. H. Freeman & Company.

■ Austin, J. L. (1962). How to do things with words. Cambridge, MA: Harvard University Press.

■ Bacon, F. (1878). Of the proficience and advancement of learning divine and human. In The works of Francis Bacon (Vol. 1). Cambridge, MA: Hurd & Houghton.

■ Bacon, R. (1928). Opus majus (Vol. 2). R. B. Burke (Trans.). Philadelphia, PA: University of Pennsylvania Press.

■ Bar-Hillel, Y. (1960). The present status of automatic translation of languages. In F. L. Alt (Ed.), Advances in computers (Vol. 1). New York: Academic Press.

■ Barr, A., & E. A. Feigenbaum (Eds.) (1981). The handbook of artificial intelligence (Vol. 1). Reading, MA: Addison-Wesley.

■ Barr, A., & E. A. Feigenbaum (Eds.) (1982). The handbook of artificial intelligence (Vol. 2). Los Altos, CA: William Kaufman.

■ Barron, F. X. (1963). The needs for order and for disorder as motives in creative activity. In C. W. Taylor & F. X. Barron (Eds.), Scientific creativity: Its rec ognition and development (pp. 153-160). New York: Wiley.

■ Bartlett, F. C. (1932). Remembering: A study in experimental and social psychology. Cambridge: Cambridge University Press.

■ Bartley, S. H. (1969). Principles of perception. London: Harper & Row.

■ Barzun, J. (1959). The house of intellect. New York: Harper & Row.

■ Beach, F. A., D. O. Hebb, C. T. Morgan & H. W. Nissen (Eds.) (1960). The neu ropsychology of Lashley. New York: McGraw-Hill.

■ Berkeley, G. (1996). Principles of human knowledge: Three Dialogues. Oxford: Oxford University Press. (Originally published in 1710.)

■ Berlin, I. (1953). The hedgehog and the fox: An essay on Tolstoy's view of history. NY: Simon & Schuster.

■ Bierwisch, J. (1970). Semantics. In J. Lyons (Ed.), New horizons in linguistics. Baltimore: Penguin Books.

■ Black, H. C. (1951). Black's law dictionary. St. Paul, MN: West Publishing.

■ Bloom, A. (1981). The linguistic shaping of thought: A study in the impact of language on thinking in China and the West. Hillsdale, NJ: Erlbaum.

■ Bobrow, D. G., & D. A. Norman (1975). Some principles of memory schemata. In D. G. Bobrow & A. Collins (Eds.), Representation and understanding: Stud ies in Cognitive Science (pp. 131-149). New York: Academic Press.

■ Boden, M. A. (1977). Artificial intelligence and natural man. New York: Basic Books.

■ Boden, M. A. (1981). Minds and mechanisms. Ithaca, NY: Cornell University Press.

■ Boden, M. A. (1990a). The creative mind: Myths and mechanisms. London: Cardinal.

■ Boden, M. A. (1990b). The philosophy of artificial intelligence. Oxford: Oxford University Press.

■ Boden, M. A. (1994). Precis of The creative mind: Myths and mechanisms. Behavioral and brain sciences 17, 519-570.

■ Boden, M. (1996). Creativity. In M. Boden (Ed.), Artificial Intelligence (2nd ed.). San Diego: Academic Press.

■ Bolter, J. D. (1984). Turing's man: Western culture in the computer age. Chapel Hill, NC: University of North Carolina Press.

■ Bolton, N. (1972). The psychology of thinking. London: Methuen.

■ Bourne, L. E. (1973). Some forms of cognition: A critical analysis of several papers. In R. Solso (Ed.), Contemporary issues in cognitive psychology (pp. 313324). Loyola Symposium on Cognitive Psychology (Chicago 1972). Washington, DC: Winston.

■ Bransford, J. D., N. S. McCarrell, J. J. Franks & K. E. Nitsch (1977). Toward unexplaining memory. In R. Shaw & J. D. Bransford (Eds.), Perceiving, acting, and knowing (pp. 431-466). Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Breger, L. (1981). Freud's unfinished journey. London: Routledge & Kegan Paul.

■ Brehmer, B. (1986). In one word: Not from experience. In H. R. Arkes & K. Hammond (Eds.), Judgment and decision making: An interdisciplinary reader (pp. 705-719). Cambridge: Cambridge University Press.

■ Bresnan, J. (1978). A realistic transformational grammar. In M. Halle, J. Bresnan & G. A. Miller (Eds.), Linguistic theory and psychological reality (pp. 1-59). Cambridge, MA: MIT Press.

■ Brislin, R. W., W. J. Lonner & R. M. Thorndike (Eds.) (1973). Cross- cultural research methods. New York: Wiley.

■ Bronowski, J. (1977). A sense of the future: Essays in natural philosophy. P. E. Ariotti with R. Bronowski (Eds.). Cambridge, MA: MIT Press.

■ Bronowski, J. (1978). The origins of knowledge and imagination. New Haven, CT: Yale University Press.

■ Brown, R. O. (1973). A first language: The early stages. Cambridge, MA: Harvard University Press.

■ Brown, T. (1970). Lectures on the philosophy of the human mind. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 330-387). New York: Random House/Modern Library.

■ Bruner, J. S., J. Goodnow & G. Austin (1956). A study of thinking. New York: Wiley.

■ Calvin, W. H. (1990). The cerebral symphony: Seashore reﬂections on the structure of consciousness. New York: Bantam.

■ Campbell, J. (1982). Grammatical man: Information, entropy, language, and life. New York: Simon & Schuster.

■ Campbell, J. (1989). The improbable machine. New York: Simon & Schuster.

■ Carlyle, T. (1966). On heroes, hero- worship and the heroic in history. Lincoln: University of Nebraska Press. (Originally published in 1841.)

■ Carnap, R. (1959). The elimination of metaphysics through logical analysis of language [Ueberwindung der Metaphysik durch logische Analyse der Sprache]. In A. J. Ayer (Ed.), Logical positivism (pp. 60-81) A. Pap (Trans). New York: Free Press. (Originally published in 1932.)

■ Cassirer, E. (1946). Language and myth. New York: Harper and Brothers. Reprinted. New York: Dover Publications, 1953.

■ Cattell, R. B., & H. J. Butcher (1970). Creativity and personality. In P. E. Vernon (Ed.), Creativity. Harmondsworth, England: Penguin Books.

■ Caudill, M., & C. Butler (1990). Naturally intelligent systems. Cambridge, MA: MIT Press/Bradford Books.

■ Chandrasekaran, B. (1990). What kind of information processing is intelligence? A perspective on AI paradigms and a proposal. In D. Partridge & R. Wilks (Eds.), The foundations of artificial intelligence: A sourcebook (pp. 14-46). Cambridge: Cambridge University Press.

■ Charniak, E., & McDermott, D. (1985). Introduction to artificial intelligence. Reading, MA: Addison-Wesley.

■ Chase, W. G., & H. A. Simon (1988). The mind's eye in chess. In A. Collins & E. E. Smith (Eds.), Readings in cognitive science: A perspective from psychology and artificial intelligence (pp. 461-493). San Mateo, CA: Kaufmann.

■ Cheney, D. L., & R. M. Seyfarth (1990). How monkeys see the world: Inside the mind of another species. Chicago: University of Chicago Press.

■ Chi, M.T.H., R. Glaser & E. Rees (1982). Expertise in problem solving. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (pp. 7-73). Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Chomsky, N. (1957). Syntactic structures. The Hague: Mouton. Janua Linguarum.

■ Chomsky, N. (1964). A transformational approach to syntax. In J. A. Fodor & J. J. Katz (Eds.), The structure of language: Readings in the philosophy of lan guage (pp. 211-245). Englewood Cliffs, NJ: Prentice-Hall.

■ Chomsky, N. (1965). Aspects of the theory of syntax. Cambridge, MA: MIT Press.

■ Chomsky, N. (1972). Language and mind (enlarged ed.). New York: Harcourt Brace Jovanovich.

■ Chomsky, N. (1979). Language and responsibility. New York: Pantheon.

■ Chomsky, N. (1986). Knowledge of language: Its nature, origin and use. New York: Praeger Special Studies.

■ Churchland, P. (1979). Scientific realism and the plasticity of mind. New York: Cambridge University Press.

■ Churchland, P. M. (1989). A neurocomputational perspective: The nature of mind and the structure of science. Cambridge, MA: MIT Press.

■ Churchland, P. S. (1986). Neurophilosophy. Cambridge, MA: MIT Press/Bradford Books.

■ Clark, A. (1996). Philosophical Foundations. In M. A. Boden (Ed.), Artificial in telligence (2nd ed.). San Diego: Academic Press.

■ Clark, H. H., & T. B. Carlson (1981). Context for comprehension. In J. Long & A. Baddeley (Eds.), Attention and performance (Vol. 9, pp. 313-330). Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Clarke, A. C. (1984). Profiles of the future: An inquiry into the limits of the possible. New York: Holt, Rinehart & Winston.

■ Claxton, G. (1980). Cognitive psychology: A suitable case for what sort of treatment? In G. Claxton (Ed.), Cognitive psychology: New directions (pp. 1-25). London: Routledge & Kegan Paul.

■ Code, M. (1985). Order and organism. Albany, NY: State University of New York Press.

■ Collingwood, R. G. (1972). The idea of history. New York: Oxford University Press.

■ Coopersmith, S. (1967). The antecedents of self- esteem. San Francisco: W. H. Freeman.

■ Copland, A. (1952). Music and imagination. London: Oxford University Press.

■ Coren, S. (1994). The intelligence of dogs. New York: Bantam Books.

■ Cottingham, J. (Ed.) (1996). Western philosophy: An anthology. Oxford: Blackwell Publishers.

■ Cox, C. (1926). The early mental traits of three hundred geniuses. Stanford, CA: Stanford University Press.

■ Craik, K.J.W. (1943). The nature of explanation. Cambridge: Cambridge University Press.

■ Cronbach, L. J. (1990). Essentials of psychological testing (5th ed.). New York: HarperCollins.

■ Cronbach, L. J., & R. E. Snow (1977). Aptitudes and instructional methods. New York: Irvington. Paperback edition, 1981.

■ Csikszentmihalyi, M. (1993). The evolving self. New York: Harper Perennial.

■ Culler, J. (1976). Ferdinand de Saussure. New York: Penguin Books.

■ Curtius, E. R. (1973). European literature and the Latin Middle Ages. W. R. Trask (Trans.). Princeton, NJ: Princeton University Press.

■ D'Alembert, J.L.R. (1963). Preliminary discourse to the encyclopedia of Diderot. R. N. Schwab (Trans.). Indianapolis: Bobbs-Merrill.

■ Damasio, A. (1994). Descartes' error: Emotion, reason, and the human brain. New York: Avon.

■ Dampier, W. C. (1966). A history of modern science. Cambridge: Cambridge University Press.

■ Darwin, C. (1911). The life and letters of Charles Darwin (Vol. 1). Francis Darwin (Ed.). New York: Appleton.

■ Davidson, D. (1970) Mental events. In L. Foster & J. W. Swanson (Eds.), Experience and theory (pp. 79-101). Amherst: University of Massachussetts Press.

■ Davies, P. (1995). About time: Einstein's unfinished revolution. New York: Simon & Schuster/Touchstone.

■ Davis, R., & J. J. King (1977). An overview of production systems. In E. Elcock & D. Michie (Eds.), Machine intelligence 8. Chichester, England: Ellis Horwood.

■ Davis, R., & D. B. Lenat (1982). Knowledge- based systems in artificial intelligence. New York: McGraw-Hill.

■ Dawkins, R. (1982). The extended phenotype: The gene as the unit of selection. Oxford: W. H. Freeman.

■ deKleer, J., & J. S. Brown (1983). Assumptions and ambiguities in mechanistic mental models (1983). In D. Gentner & A. L. Stevens (Eds.), Mental modes (pp. 155-190). Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Dennett, D. C. (1978a). Brainstorms: Philosophical essays on mind and psychology. Montgomery, VT: Bradford Books.

■ Dennett, D. C. (1978b). Toward a cognitive theory of consciousness. In D. C. Dennett, Brainstorms: Philosophical Essays on Mind and Psychology. Montgomery, VT: Bradford Books.

■ Dennett, D. C. (1995). Darwin's dangerous idea: Evolution and the meanings of life. New York: Simon & Schuster/Touchstone.

■ Descartes, R. (1897-1910). Traite de l'homme. In Oeuvres de Descartes (Vol. 11, pp. 119-215). Paris: Charles Adam & Paul Tannery. (Originally published in 1634.)

■ Descartes, R. (1950). Discourse on method. L. J. Laﬂeur (Trans.). New York: Liberal Arts Press. (Originally published in 1637.)

■ Descartes, R. (1951). Meditation on first philosophy. L. J. Laﬂeur (Trans.). New York: Liberal Arts Press. (Originally published in 1641.)

■ Descartes, R. (1955). The philosophical works of Descartes. E. S. Haldane and G.R.T. Ross (Trans.). New York: Dover. (Originally published in 1911 by Cambridge University Press.)

■ Descartes, R. (1967). Discourse on method (Pt. V). In E. S. Haldane and G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 106-118). Cambridge: Cambridge University Press. (Originally published in 1637.)

■ Descartes, R. (1970a). Discourse on method. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 181-200). Cambridge: Cambridge University Press. (Originally published in 1637.)

■ Descartes, R. (1970b). Principles of philosophy. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 178-291). Cambridge: Cambridge University Press. (Originally published in 1644.)

■ Descartes, R. (1984). Meditations on first philosophy. In J. Cottingham, R. Stoothoff & D. Murduch (Trans.), The philosophical works of Descartes (Vol. 2). Cambridge: Cambridge University Press. (Originally published in 1641.)

■ Descartes, R. (1986). Meditations on first philosophy. J. Cottingham (Trans.). Cambridge: Cambridge University Press. (Originally published in 1641 as Med itationes de prima philosophia.)

■ deWulf, M. (1956). An introduction to scholastic philosophy. Mineola, NY: Dover Books.

■ Dixon, N. F. (1981). Preconscious processing. London: Wiley.

■ Doyle, A. C. (1986). The Boscombe Valley mystery. In Sherlock Holmes: The com plete novels and stories (Vol. 1). New York: Bantam.

■ Dreyfus, H., & S. Dreyfus (1986). Mind over machine. New York: Free Press.

■ Dreyfus, H. L. (1972). What computers can't do: The limits of artificial intelligence (revised ed.). New York: Harper & Row.

■ Dreyfus, H. L., & S. E. Dreyfus (1986). Mind over machine: The power of human intuition and expertise in the era of the computer. New York: Free Press.

■ Edelman, G. M. (1992). Bright air, brilliant fire: On the matter of the mind. New York: Basic Books.

■ Ehrenzweig, A. (1967). The hidden order of art. London: Weidenfeld & Nicolson.

■ Einstein, A., & L. Infeld (1938). The evolution of physics. New York: Simon & Schuster.

■ Eisenstein, S. (1947). Film sense. New York: Harcourt, Brace & World.

■ Everdell, W. R. (1997). The first moderns. Chicago: University of Chicago Press.

■ Eysenck, M. W. (1977). Human memory: Theory, research and individual difference. Oxford: Pergamon.

■ Eysenck, M. W. (1982). Attention and arousal: Cognition and performance. Berlin: Springer.

■ Eysenck, M. W. (1984). A handbook of cognitive psychology. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Fancher, R. E. (1979). Pioneers of psychology. New York: W. W. Norton.

■ Farrell, B. A. (1981). The standing of psychoanalysis. New York: Oxford University Press.

■ Feldman, D. H. (1980). Beyond universals in cognitive development. Norwood, NJ: Ablex.

■ Fetzer, J. H. (1996). Philosophy and cognitive science (2nd ed.). New York: Paragon House.

■ Finke, R. A. (1990). Creative imagery: Discoveries and inventions in visualization. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Flanagan, O. (1991). The science of the mind. Cambridge MA: MIT Press/Bradford Books.

■ Fodor, J. (1983). The modularity of mind. Cambridge, MA: MIT Press/Bradford Books.

■ Frege, G. (1972). Conceptual notation. T. W. Bynum (Trans.). Oxford: Clarendon Press. (Originally published in 1879.)

■ Frege, G. (1979). Logic. In H. Hermes, F. Kambartel & F. Kaulbach (Eds.), Gottlob Frege: Posthumous writings. Chicago: University of Chicago Press. (Originally published in 1879-1891.)

■ Freud, S. (1959). Creative writers and day-dreaming. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 9, pp. 143-153). London: Hogarth Press.

■ Freud, S. (1966). Project for a scientific psychology. In J. Strachey (Ed.), The stan dard edition of the complete psychological works of Sigmund Freud (Vol. 1, pp. 295-398). London: Hogarth Press. (Originally published in 1950 as Aus den AnfaЁngen der Psychoanalyse, in London by Imago Publishing.)

■ Freud, S. (1976). Lecture 18-Fixation to traumas-the unconscious. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 16, p. 285). London: Hogarth Press.

■ Galileo, G. (1990). Il saggiatore [The assayer]. In S. Drake (Ed.), Discoveries and opinions of Galileo. New York: Anchor Books. (Originally published in 1623.)

■ Gassendi, P. (1970). Letter to Descartes. In "Objections and replies." In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 2, pp. 179-240). Cambridge: Cambridge University Press. (Originally published in 1641.)

■ Gazzaniga, M. S. (1988). Mind matters: How mind and brain interact to create our conscious lives. Boston: Houghton Mifﬂin in association with MIT Press/Bradford Books.

■ Genesereth, M. R., & N. J. Nilsson (1987). Logical foundations of artificial intelligence. Palo Alto, CA: Morgan Kaufmann.

■ Ghiselin, B. (1952). The creative process. New York: Mentor.

■ Ghiselin, B. (1985). The creative process. Berkeley, CA: University of California Press. (Originally published in 1952.)

■ Gilhooly, K. J. (1996). Thinking: Directed, undirected and creative (3rd ed.). London: Academic Press.

■ Glass, A. L., K. J. Holyoak & J. L. Santa (1979). Cognition. Reading, MA: AddisonWesley.

■ Goody, J. (1977). The domestication of the savage mind. Cambridge: Cambridge University Press.

■ Gruber, H. E. (1980). Darwin on man: A psychological study of scientific creativity (2nd ed.). Chicago: University of Chicago Press.

■ Gruber, H. E., & S. Davis (1988). Inching our way up Mount Olympus: The evolving systems approach to creative thinking. In R. J. Sternberg (Ed.), The nature of creativity: Contemporary psychological perspectives. Cambridge: Cambridge University Press.

■ Guthrie, E. R. (1972). The psychology of learning. New York: Harper. (Originally published in 1935.)

■ Habermas, J. (1972). Knowledge and human interests. Boston: Beacon Press.

■ Hadamard, J. (1945). The psychology of invention in the mathematical field. Princeton, NJ: Princeton University Press.

■ Hand, D. J. (1985). Artificial intelligence and psychiatry. Cambridge: Cambridge University Press.

■ Harris, M. (1981). The language myth. London: Duckworth.

■ Haugeland, J. (Ed.) (1981). Mind design: Philosophy, psychology, artificial intelligence. Cambridge, MA: MIT Press/Bradford Books.

■ Haugeland, J. (1981a). The nature and plausibility of cognitivism. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 243-281). Cambridge, MA: MIT Press.

■ Haugeland, J. (1981b). Semantic engines: An introduction to mind design. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 1-34). Cambridge, MA: MIT Press/Bradford Books.

■ Haugeland, J. (1985). Artificial intelligence: The very idea. Cambridge, MA: MIT Press.

■ Hawkes, T. (1977). Structuralism and semiotics. Berkeley: University of California Press.

■ Hebb, D. O. (1949). The organisation of behaviour. New York: Wiley.

■ Hebb, D. O. (1958). A textbook of psychology. Philadelphia: Saunders.

■ Hegel, G.W.F. (1910). The phenomenology of mind. J. B. Baille (Trans.). London: Sonnenschein. (Originally published as Phaenomenologie des Geistes, 1807.)

■ Heisenberg, W. (1958). Physics and philosophy. New York: Harper & Row.

■ Hempel, C. G. (1966). Philosophy of natural science. Englewood Cliffs, NJ: PrenticeHall.

■ Herman, A. (1997). The idea of decline in Western history. New York: Free Press.

■ Herrnstein, R. J., & E. G. Boring (Eds.) (1965). A source book in the history of psy chology. Cambridge, MA: Harvard University Press.

■ Herzmann, E. (1964). Mozart's creative process. In P. H. Lang (Ed.), The creative world of Mozart (pp. 17-30). London: Oldbourne Press.

■ Hilgard, E. R. (1957). Introduction to psychology. London: Methuen.

■ Hobbes, T. (1651). Leviathan. London: Crooke.

■ Hofstadter, D. R. (1979). Goedel, Escher, Bach: An eternal golden braid. New York: Basic Books.

■ Holliday, S. G., & M. J. Chandler (1986). Wisdom: Explorations in adult competence. Basel, Switzerland: Karger.

■ Horn, J. L. (1986). In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 3). Hillsdale, NJ: Erlbaum.

■ Hull, C. (1943). Principles of behavior. New York: Appleton-Century-Crofts.

■ Hume, D. (1955). An inquiry concerning human understanding. New York: Liberal Arts Press. (Originally published in 1748.)

■ Hume, D. (1975). An enquiry concerning human understanding. In L. A. SelbyBigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (Spelling and punctuation revised.) (Originally published in 1748.)

■ Hume, D. (1978). A treatise of human nature. L. A. Selby-Bigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (With some modifications of spelling and punctuation.) (Originally published in 1690.)

■ Hunt, E. (1973). The memory we must have. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language. (pp. 343-371) San Francisco: W. H. Freeman.

■ Husserl, E. (1960). Cartesian meditations. The Hague: Martinus Nijhoff.

■ Inhelder, B., & J. Piaget (1958). The growth of logical thinking from childhood to adolescence. New York: Basic Books. (Originally published in 1955 as De la logique de l'enfant a` la logique de l'adolescent. [Paris: Presses Universitaire de France])

■ James, W. (1890a). The principles of psychology (Vol. 1). New York: Dover Books.

■ James, W. (1890b). The principles of psychology. New York: Henry Holt.

■ Jevons, W. S. (1900). The principles of science (2nd ed.). London: Macmillan.

■ Johnson, G. (1986). Machinery of the mind: Inside the new science of artificial intelli gence. New York: Random House.

■ Johnson, M. L. (1988). Mind, language, machine. New York: St. Martin's Press.

■ Johnson-Laird, P. N. (1983). Mental models: Toward a cognitive science of language, inference, and consciousness. Cambridge, MA: Harvard University Press.

■ Johnson-Laird, P. N. (1988). The computer and the mind: An introduction to cognitive science. Cambridge, MA: Harvard University Press.

■ Jones, E. (1961). The life and work of Sigmund Freud. L. Trilling & S. Marcus (Eds.). London: Hogarth.

■ Jones, R. V. (1985). Complementarity as a way of life. In A. P. French & P. J. Kennedy (Eds.), Niels Bohr: A centenary volume. Cambridge, MA: Harvard University Press.

■ Kant, I. (1933). Critique of Pure Reason (2nd ed.). N. K. Smith (Trans.). London: Macmillan. (Originally published in 1781 as Kritik der reinen Vernunft.)

■ Kant, I. (1891). Solution of the general problems of the Prolegomena. In E. Belfort (Trans.), Kant's Prolegomena. London: Bell. (With minor modifications.) (Originally published in 1783.)

■ Katona, G. (1940). Organizing and memorizing: Studies in the psychology of learning and teaching. New York: Columbia University Press.

■ Kaufman, A. S. (1979). Intelligent testing with the WISC-R. New York: Wiley.

■ Koestler, A. (1964). The act of creation. New York: Arkana (Penguin).

■ Kohlberg, L. (1971). From is to ought. In T. Mischel (Ed.), Cognitive development and epistemology. (pp. 151-235) New York: Academic Press.

■ KoЁhler, W. (1925). The mentality of apes. New York: Liveright.

■ KoЁhler, W. (1927). The mentality of apes (2nd ed.). Ella Winter (Trans.). London: Routledge & Kegan Paul.

■ KoЁhler, W. (1930). Gestalt psychology. London: G. Bell.

■ KoЁhler, W. (1947). Gestalt psychology. New York: Liveright.

■ KoЁhler, W. (1969). The task of Gestalt psychology. Princeton, NJ: Princeton University Press.

■ Kuhn, T. (1970). The structure of scientific revolutions (2nd ed.). Chicago: University of Chicago Press.

■ Langer, E. J. (1989). Mindfulness. Reading, MA: Addison-Wesley.

■ Langer, S. (1962). Philosophical sketches. Baltimore: Johns Hopkins University Press.

■ Langley, P., H. A. Simon, G. L. Bradshaw & J. M. Zytkow (1987). Scientific dis covery: Computational explorations of the creative process. Cambridge, MA: MIT Press.

■ Lashley, K. S. (1951). The problem of serial order in behavior. In L. A. Jeffress (Ed.), Cerebral mechanisms in behavior, the Hixon Symposium (pp. 112-146) New York: Wiley.

■ LeDoux, J. E., & W. Hirst (1986). Mind and brain: Dialogues in cognitive neuroscience. Cambridge: Cambridge University Press.

■ Lehnert, W. (1978). The process of question answering. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Leiber, J. (1991). Invitation to cognitive science. Oxford: Blackwell.

■ Lenat, D. B., & G. Harris (1978). Designing a rule system that searches for scientific discoveries. In D. A. Waterman & F. Hayes-Roth (Eds.), Pattern directed inference systems (pp. 25-52) New York: Academic Press.

■ Levenson, T. (1995). Measure for measure: A musical history of science. New York: Touchstone. (Originally published in 1994.)

■ Leґvi-Strauss, C. (1963). Structural anthropology. C. Jacobson & B. Grundfest Schoepf (Trans.). New York: Basic Books. (Originally published in 1958.)

■ Levine, M. W., & J. M. Schefner (1981). Fundamentals of sensation and perception. London: Addison-Wesley.

■ Lewis, C. I. (1946). An analysis of knowledge and valuation. LaSalle, IL: Open Court.

■ Lighthill, J. (1972). A report on artificial intelligence. Unpublished manuscript, Science Research Council.

■ Lipman, M., A. M. Sharp & F. S. Oscanyan (1980). Philosophy in the classroom. Philadelphia: Temple University Press.

■ Lippmann, W. (1965). Public opinion. New York: Free Press. (Originally published in 1922.)

■ Locke, J. (1956). An essay concerning human understanding. Chicago: Henry Regnery Co. (Originally published in 1690.)

■ Locke, J. (1975). An essay concerning human understanding. P. H. Nidditch (Ed.). Oxford: Clarendon. (Originally published in 1690.) (With spelling and punctuation modernized and some minor modifications of phrasing.)

■ Lopate, P. (1994). The art of the personal essay. New York: Doubleday/Anchor Books.

■ Lorimer, F. (1929). The growth of reason. London: Kegan Paul. Machlup, F., & U. Mansfield (Eds.) (1983). The study of information. New York: Wiley.

■ Manguel, A. (1996). A history of reading. New York: Viking.

■ Margolis, H. (1987). Patterns, thinking, and cognition. Chicago: University of Chicago Press.

■ Markey, J. F. (1928). The symbolic process. London: Kegan Paul.

■ Martin, R. M. (1969). On Ziff's "Natural and formal languages." In S. Hook (Ed.), Language and philosophy: A symposium (pp. 249-263). New York: New York University Press.

■ Mazlish, B. (1993). The fourth discontinuity: the co- evolution of humans and machines. New Haven, CT: Yale University Press.

■ McCarthy, J., & P. J. Hayes (1969). Some philosophical problems from the standpoint of artificial intelligence. In B. Meltzer & D. Michie (Eds.), Machine intelligence 4. Edinburgh: Edinburgh University Press.

■ McClelland, J. L., D. E. Rumelhart & G. E. Hinton (1986). The appeal of parallel distributed processing. In D. E. Rumelhart, J. L. McClelland & the PDP Research Group (Eds.), Parallel distributed processing: Explorations in the mi crostructure of cognition (Vol. 1, pp. 3-40). Cambridge, MA: MIT Press/ Bradford Books.

■ McCorduck, P. (1979). Machines who think. San Francisco: W. H. Freeman.

■ McLaughlin, T. (1970). Music and communication. London: Faber & Faber.

■ Mednick, S. A. (1962). The associative basis of the creative process. Psychological Review 69, 431-436.

■ Meehl, P. E., & C. J. Golden (1982). Taxometric methods. In Kendall, P. C., & Butcher, J. N. (Eds.), Handbook of research methods in clinical psychology (pp. 127-182). New York: Wiley.

■ Mehler, J., E.C.T. Walker & M. Garrett (Eds.) (1982). Perspectives on mental rep resentation: Experimental and theoretical studies of cognitive processes and ca pacities. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Mill, J. S. (1900). A system of logic, ratiocinative and inductive: Being a connected view of the principles of evidence and the methods of scientific investigation. London: Longmans, Green.

■ Miller, G. A. (1979, June). A very personal history. Talk to the Cognitive Science Workshop, Cambridge, MA.

■ Miller, J. (1983). States of mind. New York: Pantheon Books.

■ Minsky, M. (1975). A framework for representing knowledge. In P. H. Winston (Ed.), The psychology of computer vision (pp. 211-277). New York: McGrawHill.

■ Minsky, M., & S. Papert (1973). Artificial intelligence. Condon Lectures, Oregon State System of Higher Education, Eugene, Oregon.

■ Minsky, M. L. (1986). The society of mind. New York: Simon & Schuster.

■ Mischel, T. (1976). Psychological explanations and their vicissitudes. In J. K. Cole & W. J. Arnold (Eds.), Nebraska Symposium on motivation (Vol. 23). Lincoln, NB: University of Nebraska Press.

■ Morford, M.P.O., & R. J. Lenardon (1995). Classical mythology (5th ed.). New York: Longman.

■ Murdoch, I. (1954). Under the net. New York: Penguin.

■ Nagel, E. (1959). Methodological issues in psychoanalytic theory. In S. Hook (Ed.), Psychoanalysis, scientific method, and philosophy: A symposium. New York: New York University Press.

■ Nagel, T. (1979). Mortal questions. London: Cambridge University Press.

■ Nagel, T. (1986). The view from nowhere. Oxford: Oxford University Press.

■ Neisser, U. (1967). Cognitive psychology. New York: Appleton-Century-Crofts.

■ Neisser, U. (1972). Changing conceptions of imagery. In P. W. Sheehan (Ed.), The function and nature of imagery (pp. 233-251). London: Academic Press.

■ Neisser, U. (1976). Cognition and reality. San Francisco: W. H. Freeman.

■ Neisser, U. (1978). Memory: What are the important questions? In M. M. Gruneberg, P. E. Morris & R. N. Sykes (Eds.), Practical aspects of memory (pp. 3-24). London: Academic Press.

■ Neisser, U. (1979). The concept of intelligence. In R. J. Sternberg & D. K. Detterman (Eds.), Human intelligence: Perspectives on its theory and measurement (pp. 179-190). Norwood, NJ: Ablex.

■ Nersessian, N. (1992). How do scientists think? Capturing the dynamics of conceptual change in science. In R. N. Giere (Ed.), Cognitive models of science (pp. 3-44). Minneapolis: University of Minnesota Press.

■ Newell, A. (1973a). Artificial intelligence and the concept of mind. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 1-60). San Francisco: W. H. Freeman.

■ Newell, A. (1973b). You can't play 20 questions with nature and win. In W. G. Chase (Ed.), Visual information processing (pp. 283-310). New York: Academic Press.

■ Newell, A., & H. A. Simon (1963). GPS: A program that simulates human thought. In E. A. Feigenbaum & J. Feldman (Eds.), Computers and thought (pp. 279-293). New York & McGraw-Hill.

■ Newell, A., & H. A. Simon (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.

■ Nietzsche, F. (1966). Beyond good and evil. W. Kaufmann (Trans.). New York: Vintage. (Originally published in 1885.)

■ Nilsson, N. J. (1971). Problem- solving methods in artificial intelligence. New York: McGraw-Hill.

■ Nussbaum, M. C. (1978). Aristotle's Princeton University Press. De Motu Anamalium. Princeton, NJ:

■ Oersted, H. C. (1920). Thermo-electricity. In Kirstine Meyer (Ed.), H. C. Oersted, Natuurvidenskabelige Skrifter (Vol. 2). Copenhagen: n.p. (Originally published in 1830 in The Edinburgh encyclopaedia.)

■ Ong, W. J. (1982). Orality and literacy: The technologizing of the word. London: Methuen.

■ Onians, R. B. (1954). The origins of European thought. Cambridge, MA: Cambridge University Press.

■ Osgood, C. E. (1960). Method and theory in experimental psychology. New York: Oxford University Press. (Originally published in 1953.)

■ Osgood, C. E. (1966). Language universals and psycholinguistics. In J. H. Greenberg (Ed.), Universals of language (2nd ed., pp. 299-322). Cambridge, MA: MIT Press.

■ Palmer, R. E. (1969). Hermeneutics. Evanston, IL: Northwestern University Press.

■ Peirce, C. S. (1934). Some consequences of four incapacities-Man, a sign. In C. Hartsborne & P. Weiss (Eds.), Collected papers of Charles Saunders Peirce (Vol. 5, pp. 185-189). Cambridge, MA: Harvard University Press.

■ Penfield, W. (1959). In W. Penfield & L. Roberts, Speech and brain mechanisms. Princeton, NJ: Princeton University Press.

■ Penrose, R. (1994). Shadows of the mind: A search for the missing science of conscious ness. Oxford: Oxford University Press.

■ Perkins, D. N. (1981). The mind's best work. Cambridge, MA: Harvard University Press.

■ Peterfreund, E. (1986). The heuristic approach to psychoanalytic therapy. In

■ J. Reppen (Ed.), Analysts at work, (pp. 127-144). Hillsdale, NJ: Analytic Press.

■ Piaget, J. (1952). The origin of intelligence in children. New York: International Universities Press. (Originally published in 1936.)

■ Piaget, J. (1954). Le langage et les opeґrations intellectuelles. Proble` mes de psycho linguistique. Symposium de l'Association de Psychologie Scientifique de Langue Francёaise. Paris: Presses Universitaires de France.

■ Piaget, J. (1977). Problems of equilibration. In H. E. Gruber & J. J. Voneche (Eds.), The essential Piaget (pp. 838-841). London: Routlege & Kegan Paul. (Originally published in 1975 as L'eґquilibration des structures cognitives [Paris: Presses Universitaires de France].)

■ Piaget, J., & B. Inhelder. (1973). Memory and intelligence. New York: Basic Books.

■ Pinker, S. (1994). The language instinct. New York: Morrow.

■ Pinker, S. (1996). Facts about human language relevant to its evolution. In J.-P. Changeux & J. Chavaillon (Eds.), Origins of the human brain. A symposium of the Fyssen foundation (pp. 262-283). Oxford: Clarendon Press. Planck, M. (1949). Scientific autobiography and other papers. F. Gaynor (Trans.). New York: Philosophical Library.

■ Planck, M. (1990). Wissenschaftliche Selbstbiographie. W. Berg (Ed.). Halle, Germany: Deutsche Akademie der Naturforscher Leopoldina.

■ Plato (1892). Meno. In The Dialogues of Plato (B. Jowett, Trans.; Vol. 2). New York: Clarendon. (Originally published circa 380 B.C.)

■ Poincareґ, H. (1913). Mathematical creation. In The foundations of science. G. B. Halsted (Trans.). New York: Science Press.

■ Poincareґ, H. (1921). The foundations of science: Science and hypothesis, the value of science, science and method. G. B. Halstead (Trans.). New York: Science Press.

■ Poincareґ, H. (1929). The foundations of science: Science and hypothesis, the value of science, science and method. New York: Science Press.

■ Poincareґ, H. (1952). Science and method. F. Maitland (Trans.) New York: Dover.

■ Polya, G. (1945). How to solve it. Princeton, NJ: Princeton University Press.

■ Polanyi, M. (1958). Personal knowledge. London: Routledge & Kegan Paul.

■ Popper, K. (1968). Conjectures and refutations: The growth of scientific knowledge. New York: Harper & Row/Basic Books.

■ Popper, K., & J. Eccles (1977). The self and its brain. New York: Springer-Verlag.

■ Popper, K. R. (1959). The logic of scientific discovery. London: Hutchinson.

■ Putnam, H. (1975). Mind, language and reality: Philosophical papers (Vol. 2). Cambridge: Cambridge University Press.

■ Putnam, H. (1987). The faces of realism. LaSalle, IL: Open Court.

■ Pylyshyn, Z. W. (1981). The imagery debate: Analog media versus tacit knowledge. In N. Block (Ed.), Imagery (pp. 151-206). Cambridge, MA: MIT Press.

■ Pylyshyn, Z. W. (1984). Computation and cognition: Towards a foundation for cog nitive science. Cambridge, MA: MIT Press/Bradford Books.

■ Quillian, M. R. (1968). Semantic memory. In M. Minsky (Ed.), Semantic information processing (pp. 216-260). Cambridge, MA: MIT Press.

■ Quine, W.V.O. (1960). Word and object. Cambridge, MA: Harvard University Press.

■ Rabbitt, P.M.A., & S. Dornic (Eds.). Attention and performance (Vol. 5). London: Academic Press.

■ Rawlins, G.J.E. (1997). Slaves of the Machine: The quickening of computer technology. Cambridge, MA: MIT Press/Bradford Books.

■ Reid, T. (1970). An inquiry into the human mind on the principles of common sense. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 151-178). New York: Random House/Modern Library.

■ Reitman, W. (1970). What does it take to remember? In D. A. Norman (Ed.), Models of human memory (pp. 470-510). London: Academic Press.

■ Ricoeur, P. (1974). Structure and hermeneutics. In D. I. Ihde (Ed.), The conﬂict of interpretations: Essays in hermeneutics (pp. 27-61). Evanston, IL: Northwestern University Press.

■ Robinson, D. N. (1986). An intellectual history of psychology. Madison: University of Wisconsin Press.

■ Rorty, R. (1979). Philosophy and the mirror of nature. Princeton, NJ: Princeton University Press.

■ Rosch, E. (1977). Human categorization. In N. Warren (Ed.), Studies in cross cultural psychology (Vol. 1, pp. 1-49) London: Academic Press.

■ Rosch, E. (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 27-48). Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Rosch, E., & B. B. Lloyd (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Rose, S. (1970). The chemistry of life. Baltimore: Penguin Books.

■ Rose, S. (1976). The conscious brain (updated ed.). New York: Random House.

■ Rose, S. (1993). The making of memory: From molecules to mind. New York: Anchor Books. (Originally published in 1992)

■ Roszak, T. (1994). The cult of information: A neo- Luddite treatise on high- tech, artificial intelligence, and the true art of thinking (2nd ed.). Berkeley: University of California Press.

■ Royce, J. R., & W. W. Rozeboom (Eds.) (1972). The psychology of knowing. New York: Gordon & Breach.

■ Rumelhart, D. E. (1977). Introduction to human information processing. New York: Wiley.

■ Rumelhart, D. E. (1980). Schemata: The building blocks of cognition. In R. J. Spiro, B. Bruce & W. F. Brewer (Eds.), Theoretical issues in reading comprehension. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Rumelhart, D. E., & J. L. McClelland (1986). On learning the past tenses of English verbs. In J. L. McClelland & D. E. Rumelhart (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition (Vol. 2). Cambridge, MA: MIT Press.

■ Rumelhart, D. E., P. Smolensky, J. L. McClelland & G. E. Hinton (1986). Schemata and sequential thought processes in PDP models. In J. L. McClelland, D. E. Rumelhart & the PDP Research Group (Eds.), Parallel Distributed Processing (Vol. 2, pp. 7-57). Cambridge, MA: MIT Press.

■ Russell, B. (1927). An outline of philosophy. London: G. Allen & Unwin.

■ Russell, B. (1961). History of Western philosophy. London: George Allen & Unwin.

■ Russell, B. (1965). How I write. In Portraits from memory and other essays. London: Allen & Unwin.

■ Russell, B. (1992). In N. Griffin (Ed.), The selected letters of Bertrand Russell (Vol. 1), The private years, 1884- 1914. Boston: Houghton Mifﬂin. Ryecroft, C. (1966). Psychoanalysis observed. London: Constable.

■ Sagan, C. (1978). The dragons of Eden: Speculations on the evolution of human intel ligence. New York: Ballantine Books.

■ Salthouse, T. A. (1992). Expertise as the circumvention of human processing limitations. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.

■ Sanford, A. J. (1987). The mind of man: Models of human understanding. New Haven, CT: Yale University Press.

■ Sapir, E. (1921). Language. New York: Harcourt, Brace, and World.

■ Sapir, E. (1964). Culture, language, and personality. Berkeley: University of California Press. (Originally published in 1941.)

■ Sapir, E. (1985). The status of linguistics as a science. In D. G. Mandelbaum (Ed.), Selected writings of Edward Sapir in language, culture and personality (pp. 160166). Berkeley: University of California Press. (Originally published in 1929).

■ Scardmalia, M., & C. Bereiter (1992). Literate expertise. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.

■ Schafer, R. (1954). Psychoanalytic interpretation in Rorschach testing. New York: Grune & Stratten.

■ Schank, R. C. (1973). Identification of conceptualizations underlying natural language. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 187-248). San Francisco: W. H. Freeman.

■ Schank, R. C. (1976). The role of memory in language processing. In C. N. Cofer (Ed.), The structure of human memory. (pp. 162-189) San Francisco: W. H. Freeman.

■ Schank, R. C. (1986). Explanation patterns: Understanding mechanically and creatively. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Schank, R. C., & R. P. Abelson (1977). Scripts, plans, goals, and understanding. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ SchroЁdinger, E. (1951). Science and humanism. Cambridge: Cambridge University Press.

■ Searle, J. R. (1981a). Minds, brains, and programs. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 282-306). Cambridge, MA: MIT Press.

■ Searle, J. R. (1981b). Minds, brains and programs. In D. Hofstadter & D. Dennett (Eds.), The mind's I (pp. 353-373). New York: Basic Books.

■ Searle, J. R. (1983). Intentionality. New York: Cambridge University Press.

■ Serres, M. (1982). The origin of language: Biology, information theory, and thermodynamics. M. Anderson (Trans.). In J. V. Harari & D. F. Bell (Eds.), Hermes: Literature, science, philosophy (pp. 71-83). Baltimore: Johns Hopkins University Press.

■ Simon, H. A. (1966). Scientific discovery and the psychology of problem solving. In R. G. Colodny (Ed.), Mind and cosmos: Essays in contemporary science and philosophy (pp. 22-40). Pittsburgh: University of Pittsburgh Press.

■ Simon, H. A. (1979). Models of thought. New Haven, CT: Yale University Press.

■ Simon, H. A. (1989). The scientist as a problem solver. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert Simon. Hillsdale, N.J.: Lawrence Erlbaum Associates.

■ Simon, H. A., & C. Kaplan (1989). Foundations of cognitive science. In M. Posner (Ed.), Foundations of cognitive science (pp. 1-47). Cambridge, MA: MIT Press.

■ Simonton, D. K. (1988). Creativity, leadership and chance. In R. J. Sternberg (Ed.), The nature of creativity. Cambridge: Cambridge University Press.

■ Skinner, B. F. (1974). About behaviorism. New York: Knopf.

■ Smith, E. E. (1988). Concepts and thought. In J. Sternberg & E. E. Smith (Eds.), The psychology of human thought (pp. 19-49). Cambridge: Cambridge University Press.

■ Smith, E. E. (1990). Thinking: Introduction. In D. N. Osherson & E. E. Smith (Eds.), Thinking. An invitation to cognitive science. (Vol. 3, pp. 1-2). Cambridge, MA: MIT Press.

■ Socrates. (1958). Meno. In E. H. Warmington & P. O. Rouse (Eds.), Great dialogues of Plato W.H.D. Rouse (Trans.). New York: New American Library. (Original publication date unknown.)

■ Solso, R. L. (1974). Theories of retrieval. In R. L. Solso (Ed.), Theories in cognitive psychology. Potomac, MD: Lawrence Erlbaum Associates.

■ Spencer, H. (1896). The principles of psychology. New York: Appleton-CenturyCrofts.

■ Steiner, G. (1975). After Babel: Aspects of language and translation. New York: Oxford University Press.

■ Sternberg, R. J. (1977). Intelligence, information processing, and analogical reasoning. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Sternberg, R. J. (1994). Intelligence. In R. J. Sternberg, Thinking and problem solving. San Diego: Academic Press.

■ Sternberg, R. J., & J. E. Davidson (1985). Cognitive development in gifted and talented. In F. D. Horowitz & M. O'Brien (Eds.), The gifted and talented (pp. 103-135). Washington, DC: American Psychological Association.

■ Storr, A. (1993). The dynamics of creation. New York: Ballantine Books. (Originally published in 1972.)

■ Stumpf, S. E. (1994). Philosophy: History and problems (5th ed.). New York: McGraw-Hill.

■ Sulloway, F. J. (1996). Born to rebel: Birth order, family dynamics, and creative lives. New York: Random House/Vintage Books.

■ Thorndike, E. L. (1906). Principles of teaching. New York: A. G. Seiler.

■ Thorndike, E. L. (1970). Animal intelligence: Experimental studies. Darien, CT: Hafner Publishing Co. (Originally published in 1911.)

■ Titchener, E. B. (1910). A textbook of psychology. New York: Macmillan.

■ Titchener, E. B. (1914). A primer of psychology. New York: Macmillan.

■ Toulmin, S. (1957). The philosophy of science. London: Hutchinson.

■ Tulving, E. (1972). Episodic and semantic memory. In E. Tulving & W. Donaldson (Eds.), Organisation of memory. London: Academic Press.

■ Turing, A. (1946). In B. E. Carpenter & R. W. Doran (Eds.), ACE reports of 1946 and other papers. Cambridge, MA: MIT Press.

■ Turkle, S. (1984). Computers and the second self: Computers and the human spirit. New York: Simon & Schuster.

■ Tyler, S. A. (1978). The said and the unsaid: Mind, meaning, and culture. New York: Academic Press.

■ van Heijenoort (Ed.) (1967). From Frege to Goedel. Cambridge: Harvard University Press.

■ Varela, F. J. (1984). The creative circle: Sketches on the natural history of circularity. In P. Watzlawick (Ed.), The invented reality (pp. 309-324). New York: W. W. Norton.

■ Voltaire (1961). On the Penseґs of M. Pascal. In Philosophical letters (pp. 119-146). E. Dilworth (Trans.). Indianapolis: Bobbs-Merrill.

■ Wagman, M. (1991a). Artificial intelligence and human cognition: A theoretical inter comparison of two realms of intellect. Westport, CT: Praeger.

■ Wagman, M. (1991b). Cognitive science and concepts of mind: Toward a general theory of human and artificial intelligence. Westport, CT: Praeger.

■ Wagman, M. (1993). Cognitive psychology and artificial intelligence: Theory and re search in cognitive science. Westport, CT: Praeger.

■ Wagman, M. (1995). The sciences of cognition: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.

■ Wagman, M. (1996). Human intellect and cognitive science: Toward a general unified theory of intelligence. Westport, CT: Praeger.

■ Wagman, M. (1997a). Cognitive science and the symbolic operations of human and artificial intelligence: Theory and research into the intellective processes. Westport, CT: Praeger.

■ Wagman, M. (1997b). The general unified theory of intelligence: Central conceptions and specific application to domains of cognitive science. Westport, CT: Praeger.

■ Wagman, M. (1998a). Cognitive science and the mind- body problem: From philosophy to psychology to artificial intelligence to imaging of the brain. Westport, CT: Praeger.

■ Wagman, M. (1998b). Language and thought in humans and computers: Theory and research in psychology, artificial intelligence, and neural science. Westport, CT: Praeger.

■ Wagman, M. (1998c). The ultimate objectives of artificial intelligence: Theoretical and research foundations, philosophical and psychological implications. Westport, CT: Praeger.

■ Wagman, M. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. Westport, CT: Praeger.

■ Wagman, M. (2000). Scientific discovery processes in humans and computers: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.

■ Wall, R. (1972). Introduction to mathematical linguistics. Englewood Cliffs, NJ: Prentice-Hall.

■ Wallas, G. (1926). The Art of Thought. New York: Harcourt, Brace & Co.

■ Wason, P. (1977). Self contradictions. In P. Johnson-Laird & P. Wason (Eds.), Thinking: Readings in cognitive science. Cambridge: Cambridge University Press.

■ Wason, P. C., & P. N. Johnson-Laird. (1972). Psychology of reasoning: Structure and content. Cambridge, MA: Harvard University Press.

■ Watson, J. (1930). Behaviorism. New York: W. W. Norton.

■ Watzlawick, P. (1984). Epilogue. In P. Watzlawick (Ed.), The invented reality. New York: W. W. Norton, 1984.

■ Weinberg, S. (1977). The first three minutes: A modern view of the origin of the uni verse. New York: Basic Books.

■ Weisberg, R. W. (1986). Creativity: Genius and other myths. New York: W. H. Freeman.

■ Weizenbaum, J. (1976). Computer power and human reason: From judgment to cal culation. San Francisco: W. H. Freeman.

■ Wertheimer, M. (1945). Productive thinking. New York: Harper & Bros.

■ Whitehead, A. N. (1925). Science and the modern world. New York: Macmillan.

■ Whorf, B. L. (1956). In J. B. Carroll (Ed.), Language, thought and reality: Selected writings of Benjamin Lee Whorf. Cambridge, MA: MIT Press.

■ Whyte, L. L. (1962). The unconscious before Freud. New York: Anchor Books.

■ Wiener, N. (1954). The human use of human beings. Boston: Houghton Mifﬂin.

■ Wiener, N. (1964). God & Golem, Inc.: A comment on certain points where cybernetics impinges on religion. Cambridge, MA: MIT Press.

■ Winograd, T. (1972). Understanding natural language. New York: Academic Press.

■ Winston, P. H. (1987). Artificial intelligence: A perspective. In E. L. Grimson & R. S. Patil (Eds.), AI in the 1980s and beyond (pp. 1-12). Cambridge, MA: MIT Press.

■ Winston, P. H. (Ed.) (1975). The psychology of computer vision. New York: McGrawHill.

■ Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.

■ Wittgenstein, L. (1958). The blue and brown books. New York: Harper Colophon.

■ Woods, W. A. (1975). What's in a link: Foundations for semantic networks. In D. G. Bobrow & A. Collins (Eds.), Representations and understanding: Studies in cognitive science (pp. 35-84). New York: Academic Press.

■ Woodworth, R. S. (1938). Experimental psychology. New York: Holt; London: Methuen (1939).

■ Wundt, W. (1904). Principles of physiological psychology (Vol. 1). E. B. Titchener (Trans.). New York: Macmillan.

■ Wundt, W. (1907). Lectures on human and animal psychology. J. E. Creighton & E. B. Titchener (Trans.). New York: Macmillan.

■ Young, J. Z. (1978). Programs of the brain. New York: Oxford University Press.

■ Ziman, J. (1978). Reliable knowledge: An exploration of the grounds for belief in science. Cambridge: Cambridge University Press.

Historical dictionary of quotations in cognitive science > Bibliography
11 resolución de la ambigüedad entre términos

(n.) = term disambiguation, word sense disambiguation

Ex. For the ambiguous terms, the SV contains the algorithmical rules of term disambiguation, rules based on semantic analysis of the contexts.

Ex. This paper discusses other uses of word sense disambiguation in an information retrieval context.

* * *

(n.) = term disambiguation, word sense disambiguation

Ex: For the ambiguous terms, the SV contains the algorithmical rules of term disambiguation, rules based on semantic analysis of the contexts.

Ex: This paper discusses other uses of word sense disambiguation in an information retrieval context.

Spanish-English dictionary > resolución de la ambigüedad entre términos
12 Language

   1) The Book of Nature Is Written in the Language of Mathematics

   Philosophy is written in that great book, the universe, which is always open, right before our eyes. But one cannot understand this book without first learning to understand the language and to know the characters in which it is written. It is written in the language of mathematics, and the characters are triangles, circles, and other figures. Without these, one cannot understand a single word of it, and just wanders in a dark labyrinth. (Galileo, 1990, p. 232)

   2) Arranging Speech so as to Reply Appropriately

   It never happens that it [a nonhuman animal] arranges its speech in various ways in order to reply appropriately to everything that may be said in its presence, as even the lowest type of man can do. (Descartes, 1970a, p. 116)

   3) No Other Animal Has the Language Capacity of the Human

   It is a very remarkable fact that there are none so depraved and stupid, without even excepting idiots, that they cannot arrange different words together, forming of them a statement by which they make known their thoughts; while, on the other hand, there is no other animal, however perfect and fortunately circumstanced it may be, which can do the same. (Descartes, 1967, p. 116)

   4) Human Beings Do Not Live Only in the World of Objects

   Human beings do not live in the object world alone, nor alone in the world of social activity as ordinarily understood, but are very much at the mercy of the particular language which has become the medium of expression for their society. It is quite an illusion to imagine that one adjusts to reality essentially without the use of language and that language is merely an incidental means of solving specific problems of communication or reﬂection. The fact of the matter is that the "real world" is to a large extent unconsciously built on the language habits of the group.... We see and hear and otherwise experience very largely as we do because the language habits of our community predispose certain choices of interpretation. (Sapir, 1921, p. 75)

   5) Language Powerfully Conditions All Our Thinking

   It powerfully conditions all our thinking about social problems and processes.... No two languages are ever sufficiently similar to be considered as representing the same social reality. The worlds in which different societies live are distinct worlds, not merely the same worlds with different labels attached. (Sapir, 1985, p. 162)

   6) A List of Language Games

   [A list of language games, not meant to be exhaustive:]

   Giving orders, and obeying them- Describing the appearance of an object, or giving its measurements- Constructing an object from a description (a drawing)Reporting an eventSpeculating about an eventForming and testing a hypothesisPresenting the results of an experiment in tables and diagramsMaking up a story; and reading itPlay actingSinging catchesGuessing riddlesMaking a joke; and telling it

   Solving a problem in practical arithmeticTranslating from one language into another

   LANGUAGE Asking, thanking, cursing, greeting, and praying-. (Wittgenstein, 1953, Pt. I, No. 23, pp. 11 e-12 e)

   7) Language Constrains Certain Modes of Interpretation

   We dissect nature along lines laid down by our native languages.... The world is presented in a kaleidoscopic ﬂux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... No individual is free to describe nature with absolute impartiality but is constrained to certain modes of interpretation even while he thinks himself most free. (Whorf, 1956, pp. 153, 213-214)

   8) We Dissect Nature in Accordance with Our Native Languages

   We dissect nature along the lines laid down by our native languages.

   The categories and types that we isolate from the world of phenomena we do not find there because they stare every observer in the face; on the contrary, the world is presented in a kaleidoscopic ﬂux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... We are thus introduced to a new principle of relativity, which holds that all observers are not led by the same physical evidence to the same picture of the universe, unless their linguistic backgrounds are similar or can in some way be calibrated. (Whorf, 1956, pp. 213-214)

   9) The Forms of a Person's Thoughts Are Controlled by Unperceived Patterns of His Own Language

   The forms of a person's thoughts are controlled by inexorable laws of pattern of which he is unconscious. These patterns are the unperceived intricate systematizations of his own language-shown readily enough by a candid comparison and contrast with other languages, especially those of a different linguistic family. (Whorf, 1956, p. 252)

    10) The Analysis of Certain Types of Utterances

   It has come to be commonly held that many utterances which look like statements are either not intended at all, or only intended in part, to record or impart straightforward information about the facts.... Many traditional philosophical perplexities have arisen through a mistake-the mistake of taking as straightforward statements of fact utterances which are either (in interesting non-grammatical ways) nonsensical or else intended as something quite different. (Austin, 1962, pp. 2-3)

    11) The Dictionary of a Language Is a System of Concepts

   In general, one might define a complex of semantic components connected by logical constants as a concept. The dictionary of a language is then a system of concepts in which a phonological form and certain syntactic and morphological characteristics are assigned to each concept. This system of concepts is structured by several types of relations. It is supplemented, furthermore, by redundancy or implicational rules..., representing general properties of the whole system of concepts.... At least a relevant part of these general rules is not bound to particular languages, but represents presumably universal structures of natural languages. They are not learned, but are rather a part of the human ability to acquire an arbitrary natural language. (Bierwisch, 1970, pp. 171-172)

    12) Talk about the Evolution of the Language Capacity is Beside the Point

   In studying the evolution of mind, we cannot guess to what extent there are physically possible alternatives to, say, transformational generative grammar, for an organism meeting certain other physical conditions characteristic of humans. Conceivably, there are none-or very few-in which case talk about evolution of the language capacity is beside the point. (Chomsky, 1972, p. 98)

    13) The Development of Language

   [It is] truth value rather than syntactic well-formedness that chieﬂy governs explicit verbal reinforcement by parents-which renders mildly paradoxical the fact that the usual product of such a training schedule is an adult whose speech is highly grammatical but not notably truthful. (R. O. Brown, 1973, p. 330)

    14) Sentential and Conceptual Levels in Language

   he conceptual base is responsible for formally representing the concepts underlying an utterance.... A given word in a language may or may not have one or more concepts underlying it.... On the sentential level, the utterances of a given language are encoded within a syntactic structure of that language. The basic construction of the sentential level is the sentence.

   The next highest level... is the conceptual level. We call the basic construction of this level the conceptualization. A conceptualization consists of concepts and certain relations among those concepts. We can consider that both levels exist at the same point in time and that for any unit on one level, some corresponding realizate exists on the other level. This realizate may be null or extremely complex.... Conceptualizations may relate to other conceptualizations by nesting or other specified relationships. (Schank, 1973, pp. 191-192)

    15) Linguistic Realities Have Not Yet Been Captured by Theoretical Models

   The mathematics of multi-dimensional interactive spaces and lattices, the projection of "computer behavior" on to possible models of cerebral functions, the theoretical and mechanical investigation of artificial intelligence, are producing a stream of sophisticated, often suggestive ideas.

   But it is, I believe, fair to say that nothing put forward until now in either theoretic design or mechanical mimicry comes even remotely in reach of the most rudimentary linguistic realities. (Steiner, 1975, p. 284)

    16) The Final Steps to Human Language

   The step from the simple tool to the master tool, a tool to make tools (what we would now call a machine tool), seems to me indeed to parallel the final step to human language, which I call reconstitution. It expresses in a practical and social context the same understanding of hierarchy, and shows the same analysis by function as a basis for synthesis. (Bronowski, 1977, pp. 127-128)

    17) The Inadequacy of Formal Linguistic Models for Ordinary Language Usage

    t is the language donn eґ in which we conduct our lives.... We have no other. And the danger is that formal linguistic models, in their loosely argued analogy with the axiomatic structure of the mathematical sciences, may block perception.... It is quite conceivable that, in language, continuous induction from simple, elemental units to more complex, realistic forms is not justified. The extent and formal "undecidability" of context-and every linguistic particle above the level of the phoneme is context-bound-may make it impossible, except in the most abstract, meta-linguistic sense, to pass from "pro-verbs," "kernals," or "deep deep structures" to actual speech. (Steiner, 1975, pp. 111-113)

    18) When a Language Is an Abstract Machine

   A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)

    19) Metaphor and Metonymy Underpin the Formation of Linguistic Signs

   Jakobson sees metaphor and metonymy as the characteristic modes of binarily opposed polarities which between them underpin the two-fold process of selection and combination by which linguistic signs are formed.... Thus messages are constructed, as Saussure said, by a combination of a "horizontal" movement, which combines words together, and a "vertical" movement, which selects the particular words from the available inventory or "inner storehouse" of the language. The combinative (or syntagmatic) process manifests itself in contiguity (one word being placed next to another) and its mode is metonymic. The selective (or associative) process manifests itself in similarity (one word or concept being "like" another) and its mode is metaphoric. The "opposition" of metaphor and metonymy therefore may be said to represent in effect the essence of the total opposition between the synchronic mode of language (its immediate, coexistent, "vertical" relationships) and its diachronic mode (its sequential, successive, lineal progressive relationships). (Hawkes, 1977, pp. 77-78)

    20) Language and the Analysis of Nature

   It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)

    21) Correspondence Rules for Mapping Old Theory into Subsets of New Theory

   First, [an ideal intertheoretic reduction] provides us with a set of rules"correspondence rules" or "bridge laws," as the standard vernacular has it-which effect a mapping of the terms of the old theory (T o) onto a subset of the expressions of the new or reducing theory (T n). These rules guide the application of those selected expressions of T n in the following way: we are free to make singular applications of their correspondencerule doppelgangers in T o....

   Second, and equally important, a successful reduction ideally has the outcome that, under the term mapping effected by the correspondence rules, the central principles of T o (those of semantic and systematic importance) are mapped onto general sentences of T n that are theorems of Tn. (P. Churchland, 1979, p. 81)

    22) The Inclusion of Non- linguistic Factors in a Theory of Grammar

   If non-linguistic factors must be included in grammar: beliefs, attitudes, etc. [this would] amount to a rejection of the initial idealization of language as an object of study. A priori such a move cannot be ruled out, but it must be empirically motivated. If it proves to be correct, I would conclude that language is a chaos that is not worth studying.... Note that the question is not whether beliefs or attitudes, and so on, play a role in linguistic behavior and linguistic judgments... [but rather] whether distinct cognitive structures can be identified, which interact in the real use of language and linguistic judgments, the grammatical system being one of these. (Chomsky, 1979, pp. 140, 152-153)

    23) Language Is Inevitably Inﬂuenced by Specific Contexts of Human Interaction

   Language cannot be studied in isolation from the investigation of "rationality." It cannot afford to neglect our everyday assumptions concerning the total behavior of a reasonable person.... An integrational linguistics must recognize that human beings inhabit a communicational space which is not neatly compartmentalized into language and nonlanguage.... It renounces in advance the possibility of setting up systems of forms and meanings which will "account for" a central core of linguistic behavior irrespective of the situation and communicational purposes involved. (Harris, 1981, p. 165)

    24) The Genetic Blueprints of Language

   By innate [linguistic knowledge], Chomsky simply means "genetically programmed." He does not literally think that children are born with language in their heads ready to be spoken. He merely claims that a "blueprint is there, which is brought into use when the child reaches a certain point in her general development. With the help of this blueprint, she analyzes the language she hears around her more readily than she would if she were totally unprepared for the strange gabbling sounds which emerge from human mouths. (Aitchison, 1987, p. 31)

    25) Languages Are Machines

   Looking at ourselves from the computer viewpoint, we cannot avoid seeing that natural language is our most important "programming language." This means that a vast portion of our knowledge and activity is, for us, best communicated and understood in our natural language.... One could say that natural language was our first great original artifact and, since, as we increasingly realize, languages are machines, so natural language, with our brains to run it, was our primal invention of the universal computer. One could say this except for the sneaking suspicion that language isn't something we invented but something we became, not something we constructed but something in which we created, and recreated, ourselves. (Leiber, 1991, p. 8)

Historical dictionary of quotations in cognitive science > Language
13 language

язык

in everyday language — в повседневной речи

indistinguishable in the language — лог. неразличимый на языке, эквивалентный

language with a paradigmatic structure — язык с парадигматической структурой

- absolutely adequate language
- absolutely homogeneous language - absolutely inadequate language - absolutely nonhomogeneous language - absolutely nonperfect language - absolutely nonsimple language - absolutely perfect language - absolutely simple language
- abstract language

- algebraic language

- algebraical language

- amorphic language

- autocovariance assembly language

- automatic language

- auxiliary language

- basic language

- bidirectional categorial language

- bounded language

- categorial language

- code language

- combinatorial language

- common language

- communicative language

- compact language

- completely adequate language
- completely formalized language - completely homogeneous language
- computer language

- context-free language

- context-sensitive language

- countable language

- data-retrieval language

- decidable language

- deterministic language

- elementary formalized language

- elementary language

- empty language

- enumerable language

- extended language

- first-order language

- forcing language

- formal language

- formalized language

- fuzzy language

- generated language

- grammar-definable language

- grammar-generated language

- graph-oriented language

- hardware description language

- homogeneous language

- infinite language

- inflected language

- information language

- information retrieval language

- informational language

- inherently ambiguous language

- intermediary language

- inversely adequate language

- language of formulas

- language of open formulas
- left categorial language
- linear language

- linear-programming language

- locally homogeneous language
- locally perfectly adequate language - locally simple language - locally strongly language - locally well adequate language
- mathematical language

- metalinear language

- metapragmatic language

- metasemantic language

- metasyntactic language

- modal language

- nonadequate language

- noncompletely adequate language
- noncompletely homogeneous language
- nonhomogeneous language

- nonperfect language

- nonsimple language

- nonwell adequate language

- number language

- parenthesis-free language

- partially free language

- phrase-structure language

- plex language

- purely paradigmatic language

- quasideterministic language

- quasifinite language

- resricted categorial language
- right categorial language - scattered context language
- second-order language

- semantic-formal language

- semiformal language

- sequential language

- specialized language

- stochastic language

- strict language

- subject language

- syntax language

- terminal language

- total language

- underlying language

- unformalized language

- unidirectional categorial language

- universal language

- weakly regular language

English-Russian scientific dictionary > language
14 language

язык || языковой

- absolute language
- action description language
- actual machine language
- agent programming language
- AI language
- Algol-like language
- algorithmical language
- algorithmic language
- application-oriented language
- applicative language
- artificial language
- assembler language
- assembly language
- assembly-output language
- assignment-free language
- behavioral language
- bidirectional language
- block-structured language
- Boolean-based language
- business definition language
- business-oriented language
- calculus-type language
- C-based language
- client-side language
- code language
- command language
- compiled language
- compiler language
- component definition language
- composite language
- computer language
- computer-dependent language
- computer-independent language
- computer-oriented language
- computer-programming language
- computer-sensitive language
- consensus language
- context-free language
- control language
- conversational language
- core language
- data definition language
- data description language
- data language
- data manipulation language
- data storage description language
- database language
- data-entry language
- data-flow language
- data-query language
- declarative language
- defining language
- descriptive language
- descriptor language
- design language
- device media control language
- direct execution language
- directly interpretable language
- Dyck language
- end-user language
- escape language
- evolutive language
- executive-control language
- executive language
- explicit language
- extensible language
- fabricated language
- finite state language
- flow language
- foreign language
- formalized language
- frame-based language
- freestanding language
- functional language
- generated language
- graphics language
- graph-oriented language
- hardware-description language
- hardware language
- higher-level language
- higher-order language
- host language
- human language
- human-oriented language
- human-readable language
- indexed language
- information retrieval language
- informational language
- information language
- inherently ambiguous language
- input language
- input/output language
- instruction language
- integrated language
- interactive language
- interim language
- intermediate language
- internal language
- interpreted language
- job control language
- job-oriented language
- knowledge representation language
- language pair
- letter-equivalent languages
- linear language
- linear-programming language
- list-processing language
- logic-type language
- low-level language
- machine language
- machine-dependent language
- machine-independent language
- machine-oriented language
- macroassembly language
- macro language
- macroinstruction language
- macroprogramming language
- man-to-computer language
- mathematical formular language
- memory management language
- mnemonic language
- modeling language
- native language
- natural language
- NC programming language
- nested language
- network-oriented language
- nonprocedural language
- numder language
- object language
- object modeling language
- object-oriented language
- one-dimensional language
- operator-oriented language
- original language
- page description language
- parallel language
- phrase structure language
- predicate language
- predicate logic-based language
- predicate logic language
- privacy language
- problem statement language
- problem-oriented language
- procedural language
- procedure-oriented language
- process control language
- production language
- program language
- programming language
- pseudo language
- pseudomachine language
- query language
- readable specification language
- reference language
- regular language
- relational language
- relational-type language
- representation language
- representation language

- requirement statement language
- requirements modeling language
- restricted language
- rule-based language
- ruly language
- schema language
- science-oriented language
- script language
- self-contained language
- semantic-formal language
- semiformal language
- sentential language
- serial language
- simulation language
- single-assignment language
- source language
- specialized language
- specification language
- stream-based language
- strict language
- structured programming language
- structured query language
- super language
- super-high-level language
- symbolic language
- symbolic programming language
- syntax language
- synthetic language
- system input language
- system language
- system-oriented language
- tabular language
- target language
- TC language
- time sharing language
- type-free language
- unified modeling language
- update language
- user language
- user-oriented language
- very-high-level language

English-Russian dictionary of computer science and programming > language
15 παρακολουθέω

παρακολουθέω fut. παρακολουθήσω; 1 aor. παρηκολούθησα; pf. παρηκολούθηκα (Aristoph., X., Pla.+; ins, pap, 2 Macc, TestSol; JosAs 29:6; ApcMos 8; Philo, Joseph., Just.; Tat. 12, 5; Ath.) ‘follow’.

① to be closely associated w. someone viewed as an authority figure, follow lit. of direct discipleship τοῖς πρεσβυτέροις Papias (2, 4); αὐτῷ: Jesus (2, 15).—Otherw.

② to be attendant upon, follow, accompany, attend w. dat. of pers. (τύχη ἡμῖν π. Demosth. 42, 21; Plut., Mor. 207e; πυρετοί μοι π. Demosth. 54, 11; βλάβη μοι π. PReinach 18, 15 [II B.C.]; 19, 12; PTebt 28, 2; PStras 22, 20. Cp. 2 Macc 8:11; Philo, Sacr. Abel. 70; Ath. 31, 1 [w. acc. and inf.]) σημεῖα τοῖς πιστεύσασιν ταῦτα παρακολουθήσει these signs will attend those who have come to believe Mk 16:17 (v.l. ἀκολουθήσει).

③ to conform to someone’s belief or practice by paying special attention, follow faithfully, follow as a rule (SIG 885, 32 π. τῇ περὶ τὸ θεῖον τῆς πόλεως θεραπείᾳ; PTebt 124, 4 [I B.C.] τῇ αὐτῶν π. πίστει; 2 Macc 9:27 π. τῇ ἐμῇ προαιρέσει) διδασκαλίᾳ 1 Ti 4:6; 2 Ti 3:10. This sense involves only a slight transference from ‘follow with the mind, understand, make one’s own’ (Demosth. et al.; esp. a t.t. of the Stoics) w. dat. of thing (Polyb. 3, 32, 2; Epict. 1, 6, 13 of intelligent awareness as opposed to mere functioning, the diff. between animals and humans; Vett. Val. 276, 23; SIG 718, 9 [c. 100 B.C.]; Just., D. 114, 1).

④ to pay careful attention to someth. in a segment of time, follow a thing, follow a course of events, take note of w. dat. of thing (Demosth. 18, 172 παρηκολουθηκότα τοῖς πράγμασιν ἐξ ἀρχῆς=one well acquainted with the affairs from the very beginning; 19, 257 ἀκριβέστατʼ εἰδὼς ἐγὼ καὶ παρηκολουθηκὼς ἅπασι κατηγορῶ=I bring my charges as one who has accurate knowledge and has followed everything; UPZ 71, 20 [152 B.C.] τῇ ἀληθείᾳ; Jos., C. Ap. 1, 53 personal acquaintance as opposed to information secured second-hand; 218 of inability to have a thorough grasp of certain writings: μετὰ πάσης ἀκριβείας … παρακολουθεῖν) ἐμοὶ παρηκολουθηκότι ἄνωθεν πᾶσιν ἀκριβῶς to me, with a firm grasp of everything from the beginning Lk 1:3 (s. HCadbury, Beginn. II 501f; Exp. 8th ser., 144, 1922, 401–20; NTS 3, ’56/57: 128ff having been familiar with, and M-M.; JRopes, JTS 25, 1924, 67–71.—GWhitaker, Exp. 8th ser., 118, 1920, 262–72; 119, 1920, 380–84; 121, 1921, 239ff; BBacon, Le témoignage de Luc sur luimême: RHPR 8, 1928, 209–26. Luke does not specify the means whereby he was able to assert his thorough familiarity [a rendering such as ‘research’ or ‘investigate’ depends on interpretation of the context and not on the semantic content of π.]. It can be assumed that some of it was derived from the kinds of sources cited in vs. 2. S. also s.v. ἀνατάσσομαι).—LAlexander, The Preface to Luke’s Gospel ’93, 127–31.—DELG s.v. ἀκόλουθος. M-M. TW.

Ελληνικά-Αγγλικά παλαιοχριστιανική Λογοτεχνία > παρακολουθέω

См. также в других словарях:

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