technical+process

expert, technical, connoisseur, experienced.

1 expert, technician, proficient.

2 expert witness.

1 expert (experto).

perito agrónomo agronomist

2 technician.

1^st person singular (yo) present indicative of spanish verb: peritar.

* * *

► adjetivo

1 expert

► nombre masculino,nombre femenino

1 (experto) expert; (en seguros) loss adjuster

2 (en ingeniería) technician

\

perito,-a agrónomo,-a agricultural technician

perito,-a industrial engineer

perito,-a mercantil accountant

* * *

ADJ (=experto) expert; (=con experiencia) experienced, seasoned

SM / F [gen] expert; (=técnico) technician; (=ingeniero técnico) technical engineer

* * *

adjetivo expert

- ta masculino, femenino

a) ( experto) expert

b) ( en seguros) (loss) adjuster

c) (Der) expert witness

- perito agrónomo -ta agrónoma

- perito -ta industrial

- perito -ta mercantil

* * *

= expert witness, surveyor, hired gun, assessor.

Ex. Appearing as an expert witness the librarian proved that, between 1943-55, a librarian following standard library practices of the time could have identified and located literature on the subject of the health effects of exposure to asbestos and the means of controlling dust in the mining and milling of asbestos.

Ex. Hospital librarians should assist in the development of library inspection guidelines for surveyors.

Ex. Why not get a 'hired gun' who will do the job in the least time and give us the opinion we're looking for?.

Ex. This article examines the role of the external assessor in the process of reviewing academic libraries.

----

* perito agrícola = agriculturist.

* perito de extensión agraria = agricultural extension worker.

* * *

adjetivo expert

- ta masculino, femenino

a) ( experto) expert

b) ( en seguros) (loss) adjuster

c) (Der) expert witness

- perito agrónomo -ta agrónoma

- perito -ta industrial

- perito -ta mercantil

* * *

* * *

expert

no es perito en la materia he's not an expert on the subject

1 (experto) expert

2 (en seguros) loss adjuster, adjuster

3 ( Der) expert witness

masculine, feminine agricultural technician

masculine, feminine forestry technician

masculine, feminine qualified electrician

masculine, feminine engineer

masculine, feminine qualified accountant

* * *

1ª persona singular (yo) presente indicativo

3ª persona singular (él/ella/usted) pretérito indicativo

◊ -ta sustantivo masculino, femenino ( experto) expert;

* * *

♦ adj

expert;

ser perito en algo to be an expert in sth

♦ nm,f

1. [experto] expert;

un perito en contabilidad an accountancy expert

perito agrónomo agronomist;

perito judicial legal expert;

perito tasador de seguros loss adjuster

2. [ingeniero técnico]

* * *

I adj expert

II m, perita f

1 ( especialista) expert

2 COM en seguros loss adjuster

* * *

perito, -ta adj & n

: expert

* * *

perito n expert

1 to make (ejecutar) (esfuerzo, viaje, inversión).

2 to fulfill, to realize (hacer real).

realizó su sueño he fulfilled his dream

Ella realiza la infidelidad She realizes the infidelity.

3 to direct (Cine).

4 to realize (finance) (beneficios).

5 to accomplish, to carry out, to achieve, to carry through.

Ellas realizan sus planes They accomplish their plans.

6 to hold, to carry on, to have.

El grupo realizó una reunión The group held a meeting.

7 to sell off.

La tienda realizó sus saldos The store sold off its sale goods.

* * *

(z changes to c before e)

Past Indicative

realicé, realizaste, realizó, realizamos, realizasteis, realizaron.

Present Subjunctive

realice, realices, realice, realicemos, realicéis, realicen.

Imperative

realiza (tú), realice (él/Vd.), realicemos (nos.), realizad (vos.), realicen (ellos/Vds.).

* * *

1) to execute, perform, carry out

2) fulfill

3) realize

•

- realizarse

* * *

1. VT

1) [+ propósito] to achieve, realize; [+ promesa] to fulfil, fulfill (EEUU), carry out; [+ proyecto] to carry out, put into effect

2) [+ viaje, vuelo, visita, compra] to make; [+ expedición] to carry out, go on

3) (Econ) [+ activo] to realize; [+ existencias] to sell off, sell up; [+ ganancias] to take

realizarse

* * *

verbo transitivo

1)

a) < tarea> to carry out, execute (frml); <viaje/visita> to make; <prueba/entrevista> to conduct; < encuesta> to carry out

b) <ambiciones/ilusiones> to fulfill*, realize

2) (Cin, TV) to produce

3) (Com, Fin)

a) < bienes> to realize, dispose of, sell

b) <compra/inversión> to make

realizarse v pron sueños/ilusiones to come true, be realized; persona to fulfill* oneself

* * *

= author, carry out, conduct, enact, execute, go about, involve, produce, undertake, set in + motion, transact, administer, carry through, realise [realize, -USA].

Ex. Note that these provisions do not include research reports which have been prepared within a government agency but specifically authored by an individual = Nótese que estas disposiciones no afectan a informes de investigaciones procedentes de una agencia gubernamental aunque realizados concretamente por un individuo.

Ex. The search will be carried out in Dialog's file 13, INSPEC 1977-84 (issue 6) at the time of searching.

Ex. Obviously, this tagging must be conducted manually.

Ex. The twin processes of abstracting and indexing, as covered in this book, are practices and procedures that people enact.

Ex. Some cataloguing may be conducted by a technical services department, whilst other cataloguing may be executed in the local studies department, or the children's library.

Ex. I think he outlined the feasible way to go about meeting our needs without doing in anybody else in the process.

Ex. It recommends the establishment of a centralised Chinese collection by a joint venture involving a charitable trust.

Ex. The present OCLC system does not produce catalog cards in sets, but if it did it could produce over 6,000 different sets for one title.

Ex. Among the documents that are worthy of consideration for abstracting are sources, in particular journals or reports issued by a specific organisation, for which the abstracting agency has undertaken to give comprehensive coverage.

Ex. If someone reports that a member of the staff is drunk while on the job, the supervisor must immediately set in motion the prescribed personnel procedures for verifying the charge, issuing a warning, observing and documenting future performance, and, if necessary, initiating a dismissal action.

Ex. The model includes provisions for circulation policy analysis and management and for the recording and controlling of activities transacted at the circulation desk.

Ex. A performance rating should be administered at the end of the probationary period.

Ex. However, all attempts at moral regulation carried through by the state and philanthropic agencies either failed or had completely the opposite effect.

Ex. Librarians, information scientists, and keepers of the archives have to realise the meaning of the so-called electronic library (e-library).

----

* conseguir realizarse plenamente = achieve + Posesivo + full potential.

* deseando desesperadamente realizarse = crying to come out.

* estar realizándose = underway [under way], be in progress.

* lograr realizar una maniobra = accomplish + manoeuver.

* realizar actividades = conduct + business, do + activities.

* realizar el trabajo = get + Posesivo + work done.

* realizar esfuerzo = exert + effort.

* realizar estadísticas = collect + statistics.

* realizar estudios = do + study.

* realizar interface con = interface to/with.

* realizar interfaz con = interface to/with.

* realizar las operaciones bancarias = bank.

* realizar milagros = accomplish + miracles.

* realizar + Posesivo + trabajo = advance + Posesivo + work.

* realizar progreso = make + progress.

* realizarse = achieve + Posesivo + potential.

* realizar una acción = perform + action, effect + execution.

* realizar una actividad = engage in + practice, engage in + activity, perform + activity, conduct + activity.

* realizar una autopsia = perform + an autopsy.

* realizar una buena labor = produce + the goods.

* realizar una búsqueda = conduct + search, execute + search, perform + search, run + search, undertake + search, carry out + search.

* realizar una carga en caliente = execute + a warm boot.

* realizar una combinación = perform + combination.

* realizar una crítica = raise + criticism.

* realizar un acto = commit + act.

* realizar una entrevista = conduct + interview.

* realizar una evaluación = administer + evaluation.

* realizar una hazaña = perform + feat.

* realizar una investigación = carry out + research, conduct + investigation, conduct + research, do + research, undertake + investigation, undertake + research.

* realizar una labor detenidamente = work + Posesivo + way through.

* realizar una labor muy importante = maintain + a high profile.

* realizar un análisis = conduct + analysis.

* realizar un análisis factorial = factor-analyse [factor-analyze, -USA].

* realizar una operación = conduct + operation, carry out + transaction.

* realizar una proeza = accomplish + feat, perform + feat.

* realizar una prueba = conduct + trial, take + test.

* realizar una selección = undertake + selection.

* realizar una tarea = accomplish + task, carry out + duty, conduct + task, implement + task, undertake + task, perform + duty.

* realizar una tarea paso a paso = go through.

* realizar un cálculo = carry out + calculation.

* realizar un cambio = make + alteration, implement + change.

* realizar un diseño = execute + design.

* realizar un esfuerzo = put forth + effort, make + effort.

* realizar un esfuerzo común = make + a concerted effort.

* realizar un estudio = carry out + survey, conduct + survey, undertake + study, undertake + survey, conduct + study.

* realizar un estudio evaluativo = conduct + review.

* realizar un experimento = conduct + experiment.

* realizar un proyecto = conduct + project, undertake + project.

* realizar un trabajo = perform + work, undertake + work.

* realizar un trabajo monótono = have + Posesivo + nose to the grindstone.

* * *

verbo transitivo

1)

a) < tarea> to carry out, execute (frml); <viaje/visita> to make; <prueba/entrevista> to conduct; < encuesta> to carry out

b) <ambiciones/ilusiones> to fulfill*, realize

2) (Cin, TV) to produce

3) (Com, Fin)

a) < bienes> to realize, dispose of, sell

b) <compra/inversión> to make

realizarse v pron sueños/ilusiones to come true, be realized; persona to fulfill* oneself

* * *

* * *

realizar [A4 ]

1 (hacer, ejecutar) ‹tarea› to carry out, execute ( frml); ‹viaje/visita› to make; ‹prueba/entrevista› to conduct

están realizando gestiones para conseguirlo they are taking the necessary steps to achieve it

las últimas encuestas realizadas the latest surveys carried out o taken

ha realizado una magnífica labor he has done a magnificent job

los médicos que realizaron la operación the doctors who performed the operation

2 (cumplir) ‹sueños/ambiciones/ilusiones› to fulfill*, realize

B ( Cin, TV) to produce

C ( Com, Fin)

1 ‹bienes› to realize, dispose of, sell

realizar beneficios or ( AmL) utilidades to take profits

2 ‹compra/venta/inversión› to make

la empresa realizó ventas por valor de … the firm sold goods to the value of o had sales of …

1 «sueños/ilusiones» to come true, be realized

2 «persona» to fulfill* oneself

* * *

a) ‹ tarea› to carry out, execute (frml);

◊ realizó una magnífica labor she did a magnificent job

b) ‹ambiciones/ilusiones› to fulfill^{( conjugate fulfill)}, realize

* * *

♦ vt

1. [ejecutar] [esfuerzo, viaje, inversión] to make;

2. [hacer real] to fulfil, to realize;

realizó su sueño he fulfilled his dream

3. Fin [bienes] to sell off, Espec to realize;

realizar beneficios to realize one's profits

4. [película] to direct;

♦ See also the pronominal verb realizarse

* * *

1 tarea carry out

2 RAD, TV produce

3 COM realize

* * *

realizar {21} vt

1) : to carry out, to execute

2) : to produce, to direct (a film or play)

3) : to fulfill, to achieve

4) : to realize (a profit)

♦ See also the reflexive verb realizarse

* * *

realizar vb

1. (llevar a cabo) to carry out [pt. & pp. carried]

2. (hacer) to do / to make

3. (convertir en realidad) to achieve / to fulfil [pt. & pp. fulfilled]

tango.

* * *

► nombre masculino

1 tango

* * *

SM tango

* * *

masculino tango

* * *

= tango.

Ex. Like the tango, the e-journal publishing process must blend technical virtuosity with imaginative creativity.

* * *

masculino tango

* * *

* * *

tango

* * *

1ª persona singular (yo) presente indicativo

3ª persona singular (él/ella/usted) pretérito indicativo

◊ bailar el tango to tango

* * *

tango nm

1. [argentino] tango;

bailar tango to (dance the) tango

2. [flamenco] tango flamenco

Tango music and dance had its origins in the poor quarters of Buenos Aires in the late nineteenth century. It sprang from the interaction between local rhythms, including Afro-Cuban elements, and the European influences brought by immigrants, especially from Spain and Italy. In its early stages, tango was rooted in the working-class life of Buenos Aires, just like “lunfardo”, the linguistic melting pot that is the dialect of tango culture. Tango later gained wider acceptance, especially after it was developed into a ballroom dance in Paris, and it was popularized in songs dealing with the life and loves of the common man, and the ups and downs of city life. The greatest singer of these songs was Carlos Gardel (1890-1935), who also starred in numerous tango-themed films. Astor Piazzolla (1921-92) was one of the most outstanding players of the “bandoneón”, the accordion so characteristic of tango music. Among women singers, Tita Merello (1904-2002) was remarkable for the feisty defiance of her songs. The tango, in its many manifestations, is the living portrait of the River Plate area in general, and of Buenos Aires and its people in particular.

* * *

m tango

* * *

tango nm

: tango

SF theorizing

* * *

= theorisation [theorization, -USA].

Ex. 'Power', 'knowledge' and 'control' rationalities are included in a revised theorisation of the technical change process.

* * *

* * *

theorizing

1 term, word, definition, expression.

2 end, completion, termination, tag end.

3 fixed period of time, term.

4 end of the line, end of the road.

5 terminus.

* * *

► nombre masculino

1 (fin) end, finish

■ el término de una carrera the end of a race

2 (estación) terminus, terminal

3 (límite) limit, boundary; (hito) boundary marker

4 (plazo) term, time, period

■ en el término de cuatro años within a period of four years

5 (palabra) term, word

■ término técnico technical term

6 (estado) condition, state

7 (lugar, posición) place

8 (en matemáticas, gramática) term

► nombre masculino plural términos

1 (condiciones) conditions, terms

\

dar término a algo to conclude something

en otros términos in other words

en términos de in terms of

en términos generales generally speaking

en último término figurado as a last resort

invertir los términos to get it the wrong way round

llevar algo a buen término to carry something through successfully

poner término a algo to put an end to something

por término medio on average

primer término ARTE foreground

término mayor/medio/menor major/middle/minor term

término medio middle ground, area of compromise

■ hallar un término medio to reach a compromise

término municipal district

términos de un contrato DERECHO terms of a contract

* * *

1) term

2) end

* * *

1) (=fin) end, conclusion frm

2) (=lugar)

3) (Ling) (=palabra, expresión) term

4) pl términos

a) (=palabras) terms

b) (=condiciones) [de contrato, acuerdo, tregua] terms

5) (Mat, Fil) [de fracción, ecuación] term

- invertir los términos

6) (=límite) [de terreno] boundary, limit; (=en carretera) boundary stone

7) (=plazo) period, term frm

8) Col, Méx [en restaurante]

9) (Ferro) terminus

* * *

1) (frml) ( final) end, conclusion (frml)

2) ( plazo) period

3) (posición, instancia)

- término medio

4) (Ling) term

5) (Fil, Mat) term

6) términos masculino plural (condiciones, especificaciones) terms (pl)

7) (Col, Méx, Ven) (Coc)

* * *

= term, rubric, output stage, end point [endpoint].

Ex. Many other terms are used to denote a regurgitation or abbreviation of document content.

Ex. And, as another instance, it's not fair to employ rubrics for ethnic groups that are not their own, preferred names.

Ex. To rephrase this in terms already used, they involve effort at the input stage in order to reduce effort at the output stage = Expresando esto con términos ya usados, suponen un esfuerzo en la etapa inicial con objeto de reducir el esfuerzo en la etapa final.

Ex. The process reaches its end point when information is gathered, indexed and compiled into a useful format for public and library staff use.

----

* aceptar los términos de un acuerdo = enter into + agreement.

* acuñar un término = coin + term.

* agrupar los términos sinónimos = merge + synonyms.

* análisis de coocurrencia de términos = co-word analysis.

* búsqueda por términos ponderados = weighted term search.

* como término medio = on average.

* coocurrencia de términos = co-word [coword].

* encontrar un término medio entre... y = tread + a middle path between... and.

* en otros términos = in other words.

* en términos absolutos = in absolute terms.

* en términos actuales = in today's terms.

* en términos claros = in simple terms.

* en términos de = in terms of.

* en términos generales = in broad terms, generally speaking.

* en términos reales = in real terms, in actual practice.

* en términos relativos = in relative terms.

* en último término = in the last analysis, in the final analysis.

* expresar en términos = couch + in terms.

* ficha de término = term card.

* fichero de registro por término = term record file.

* hablando en términos generales = loosely speaking.

* hablando en términos muy generales = crudely put.

* incluir en la búsqueda los términos relacionados = explode.

* índice de registro por término = term record index.

* índice de términos permutados = Permuterm index.

* intentar encontrar un término medio entre... y... = tread + a delicate line between... and.

* llevar a buen término = bring to + a close.

* lógica de términos ponderados = weighted term logic.

* método de la coocurrencia de términos = co-word method.

* mostrar los términos relacionados = expand.

* negociar los términos de un contrato = negotiate + terms.

* orden de ampliar la búsqueda a los términos relaci = explode command.

* orden de mostrar los términos relacionados = expand command.

* ponderación de los términos de la ecuación de búsqueda = query term weighting.

* ponderación de términos = term weight, term weighting.

* poner término a = put + paid to.

* por término medio = on average.

* presentación gráfica de términos permutados = permuted display.

* que no se puede identificar con un término = unnameable.

* que se puede identificar con un término = nameable.

* referencias laterales a términos de igual especificidad = sideways link.

* resolución de la ambigüedad entre términos = term disambiguation, word sense disambiguation.

* seguro de vida a término = term life insurance.

* selección de términos = extraction of terms, term selection.

* tener por término medio = average.

* término admitido = preferred term.

* término al que se envía = target term.

* término asociado = related term.

* Término Asociado (TA) = AT (Associated Term).

* término buscado = sought term.

* término colectivo = collective term.

* término compuesto = multi-word term.

* término compuesto de conceptos múltiples = multiple-concept term.

* término coordinado (TC) = CT (co-ordinate term).

* término de acción = action term.

* término de búsqueda = search term, search word.

* término de indización = indexing term.

* término de indización controlado = controlled index term, controlled indexing term.

* término de la búsqueda = query term.

* término del índice = index term.

* término del lenguaje controlado = controlled-language term.

* término del lenguaje de indización controlado = controlled index-language term.

* término del lenguaje natural = natural-language term.

* término del que se envía = referred-from term.

* término de origen = referred-from term.

* término equivalente = equivalent term.

* término específico = specific term, subordinate term.

* término específico genérico (NTG) = narrower term generic (NTG).

* término específico partitivo (NTP) = narrower term partitive (NTP).

* término general = superordinate term.

* término genérico (TG) = GT (generic term).

* término global = umbrella, umbrella term.

* término impreciso = fuzzy term.

* término inicial = lead-in term, leading term.

* termino inicial de un encabezamiento compuesto = lead term, main heading.

* término invertido = inverted term.

* término más específico = narrower term.

* término más general = broader term, wider term.

* término más genérico = broader term.

* término medio = compromise, happy medium, balance.

* término no admitido = non-preferred term, unused term.

* término no buscado = unsought term.

* término oculto = hidden term.

* término partitivo = partitive term.

* término ponderado = weighted term.

* término principal = main term.

* término que representa un único concepto = one concept term.

* término que solapa a otro en el significado (TX) = XT (overlapping term).

* término referenciado = target term.

* términos = wording.

* términos controlados = controlled terms.

* términos de un contrato = contract stipulations.

* término secundario = qualifying term.

* término sinónimo = ST, synonymous term.

* término sin ponderar = unweighted term.

* término superior = top term, TT.

* términos y condiciones = terms and conditions.

* términos y condiciones de la licencia = licence terms and conditions, licence terms.

* tomar por término medio = average.

* TR (término relacionado) = RT (related term).

* * *

1) (frml) ( final) end, conclusion (frml)

2) ( plazo) period

3) (posición, instancia)

- término medio

4) (Ling) term

5) (Fil, Mat) term

6) términos masculino plural (condiciones, especificaciones) terms (pl)

7) (Col, Méx, Ven) (Coc)

* * *

* * *

A ( frml) (final) end, conclusion ( frml)

al término de la reunión at the end o conclusion of the meeting

llevar a buen término las negociaciones to bring the negotiations to a successful conclusion

dio or pulso término a sus vacaciones he ended his vacation

B (plazo) period

en el término de una semana within a week

a término fijo ( Col); ‹contrato/inversión› fixed-term ( before n)

en el término de la distancia ( Col fam); in the time it takes me/him to get there

(posición, instancia): fue relegado a un segundo término he was relegated to second place

en último término as a last resort

en primer término first o first of all

happy medium

para él no hay términos medios there's no happy medium o no in-between with him

por or como término medio on average

( Esp) municipal area

en el término municipal de Alcobendas within the Alcobendas municipal area o ( AmE) city limits

D ( Ling) term

glosario de términos científicos glossary of scientific terms

se expresó en términos elogiosos she spoke in highly favorable terms

soluciones eficientes en términos de costos y mantenimiento efficient solutions in terms of costs and maintenance

en términos generales no está mal generally speaking, it's not bad

en términos reales in real terms

E ( Fil, Mat) term

invertir los términos ( Mat) to invert the terms

invirtió los términos de manera que yo parecía el culpable he twisted the facts in such a way that it looked as if I was to blame

F términos mpl (condiciones, especificaciones) terms (pl)

según los términos de este acuerdo according to the terms of this agreement

estar en buenos/malos términos con algn to be on good/bad terms with sb

nuestra relación sigue en buenos términos our relationship remains on a good footing o we are still on good terms

(Col, Méx) ( Coc): ¿qué término quiere la carne? how would you like your meat (done)?

* * *

1ª persona singular (yo) presente indicativo

3ª persona singular (él/ella/usted) pretérito indicativo

◊ termina esa sopa finish up that soup;

a) ( de hacer algo) to finish;

◊ déjame término de hablar let me finish (speaking)

b) (en estado, situación) to end up;

◊ terminé muy cansada I ended up feeling very tired;

a) [reunión/situación] to end, come to an end;

◊ al término la clase when the class ended;

b) ( rematar) término EN algo to end in sth;

◊ termina en consonante it ends in a consonant

c) ( llegar a):

◊ no termina de convencerme I'm not totally convinced;

◊ terminar con

a) ( acabar) término con algo ‹con libro/tarea› to finish with sth;

b) término con algn ( pelearse) to finish with sb;

◊ se me terminó la lana I've run out of wool

◊ en primer término first, first of all;

◊ en términos reales in real terms

◊ términos sustantivo masculino plural (condiciones, especificaciones) terms (pl)

◊ ¿qué término quiere la carne? how would you like your meat (done)?

* * *

término nm

1. [fin] end;

al término de la reunión se ofrecerá una rueda de prensa there will be a press conference at the conclusion of the meeting;

dar término a algo [discurso, reunión, discusión] to bring sth to a close;

llegó a su término it came to an end;

llevar algo a buen término to bring sth to a successful conclusion;

poner término a algo [relación, amenazas] to put an end to sth;

2. [plano, posición]

quedar o [m5] permanecer en un segundo término [pasar inadvertido] to remain in the background;

su carrera como modelo ha quedado en un segundo término y ahora se dedica al cine her modelling career now takes second place to her acting;

en último término [en cuadros, fotografías] in the background;

3. [punto, situación] point;

llegados a este término hay que tomar una decisión we have reached the point where we have to take a decision

por término medio on average

4. [palabra] term;

lo dijo, aunque no con o [m5] en esos términos that's what he said, although he didn't put it quite the same way;

en términos generales generally speaking;

en términos de Freud in Freud's words;

los términos del acuerdo/contrato the terms of the agreement/contract

5. Mat [de fracción, silogismo, ecuación] term

6. [relaciones]

7. [territorio]

8. [plazo] period;

en el término de un mes within (the space of) a month

9. [de línea férrea, de autobús] terminus

10. [linde, límite] boundary

* * *

1 end, conclusion;

poner término a algo put an end to sth;

llevar a término bring to an end

2 ( palabra) term;

en términos generales in general terms

términos pl de contrato, acuerdo etc terms

por término medio on average;

en primer término in the foreground;

en último término as a last resort

5 ( periodo)

en el término de in the period of, in the space of

* * *

término nm

1) conclusión: end, conclusion

2) : term, expression

3) : period, term of office

término medio : happy medium

5) términos nmpl

: terms, specifications

los términos del acuerdo: the terms of the agreement

* * *

término n

1. (en general) term

2. (fin) end

virtuosity.

* * *

► nombre masculino

1 virtuosity

* * *

SM virtuosity

* * *

masculino virtuosity

* * *

= virtuosity.

Ex. Like the tango, the e-journal publishing process must blend technical virtuosity with imaginative creativity.

* * *

masculino virtuosity

* * *

* * *

virtuosity

* * *

virtuosismo nm

virtuosity

* * *

m virtuosity

* * *

virtuosismo nm

: virtuosity

SUBJECT AREA: Textiles

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Arkwright was the youngest of thirteen children and was apprenticed to a barber; when he was about 18, he followed this trade in Bol ton. In 1755 he married Patients Holt, who bore him a son before she died, and he remarried in 1761, to Margaret Biggins. He prospered until he took a public house as well as his barber shop and began to lose money. After this failure, he travelled around buying women's hair for wigs.

In the late 1760s he began spinning experiments at Preston. It is not clear how much Arkwright copied earlier inventions or was helped by Thomas Highs and John Kay but in 1768 he left Preston for Nottingham, where, with John Smalley and David Thornley as partners, he took out his first patent. They set up a mill worked by a horse where machine-spun yarn was produced successfully. The essential part of this process lay in drawing out the cotton by rollers before it was twisted by a flyer and wound onto the bobbin. The partners' resources were not sufficient for developing their patent so Arkwright found new partners in Samuel Need and Jedediah Strutt, hosiers of Nottingham and Derby. Much experiment was necessary before they produced satisfactory yarn, and in 1771 a water-driven mill was built at Cromford, where the spinning process was perfected (hence the name "waterframe" was given to his spinning machine); some of this first yarn was used in the hosiery trade. Sales of all-cotton cloth were initially limited because of the high tax on calicoes, but the tax was lowered in 1774 by Act of Parliament, marking the beginning of the phenomenal growth of the cotton industry. In the evidence for this Act, Arkwright claimed that he had spent £12,000 on his machine. Once Arkwright had solved the problem of mechanical spinning, a bottleneck in the preliminary stages would have formed but for another patent taken out in 1775. This covered all preparatory processing, including some ideas not invented by Arkwright, with the result that it was disputed in 1783 and finally annulled in 1785. It contained the "crank and comb" for removing the cotton web off carding engines which was developed at Cromford and solved the difficulty in carding. By this patent, Arkwright had mechanized all the preparatory and spinning processes, and he began to establish water-powered cotton mills even as far away as Scotland. His success encouraged many others to copy him, so he had great difficulty in enforcing his patent Need died in 1781 and the partnership with Strutt ended soon after. Arkwright became very rich and financed other spinning ventures beyond his immediate control, such as that with Samuel Oldknow. It was estimated that 30,000 people were employed in 1785 in establishments using Arkwright's patents. In 1786 he received a knighthood for delivering an address of thanks when an attempt to assassinate George III failed, and the following year he became High Sheriff of Derbyshire. He purchased the manor of Cromford, where he died in 1792.

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SUBJECT AREA: Metallurgy

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Dudley was the fourth natural son of Edward Sutton, fifth Baron Dudley. In 1619 he was summoned from Balliol College, Oxford, to superintend his father's ironworks at Pensnet in Worcestershire. There had long been concern at the destruction of the forests in order to make charcoal for the smelting of iron ore, and unsuccessful attempts had been made to substitute coal as a fuel. Finding that charcoal was in short supply and coal plentiful near Pensnet, Dudley was stimulated by these attempts to try the process for himself. He claimed to have made good, marketable iron and in 1621 his father obtained a patent from the King to protect his process for thirty-one years. After a serious flood, Dudley moved to Staffordshire and continued his efforts there. In 1639 he was granted a further patent for making iron with coal. Although he probably made some samples of good iron, more by luck than judgement, it is hardly possible that he achieved consistent success. He blamed this on the machinations of other ironmasters. The day that King Charles II landed in England to assume his throne', Dudley petitioned him to renew his patents, but he was refused and he ceased to promote his invention. In 1665, however, he published his celebrated book Metallum Martis, Iron Made with Pit-Coaky Sea-Coale…. In this he described his efforts in general terms, but neither there nor in his patents does he give any technical details of his methods. He implied the use of slack or small coal from the Staffordshire Thick or Ten Yard coal, but this has a sulphur content that would have rendered the iron unusable; in addition, this coal would not have been suitable for converting to coke in order to remove the sulphur. Nevertheless, Dudley recognized the need to change from charcoal to coal as a fuel for iron smelting and drew attention to it, even though he himself achieved little success.

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SUBJECT AREA: Electronics and information technology, Recording

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At the age of 23, Eisler obtained a Diploma in Engineering from the Technical University of Vienna. Because of the growing Nazi influence in Austria, he then accepted a post with the His Master's Voice (HMV) agents in Belgrade, where he worked on the problems of radio reception and sound transmission in railway trains. However, he soon returned to Vienna to found a weekly radio journal and file patents on graphical sound recording (for which he received a doctorate) and on a system of stereoscopic television based on lenticular vertical scanning.

In 1936 he moved to England and sold the TV patent to Marconi for £250. Unable to find a job, he carried out experiments in his rooms in a Hampstead boarding-house; after making circuits using strip wires mounted on bakelite sheet, he filed his first printed-circuit patent that year. He then tried to find ways of printing the circuits, but without success. Obtaining a post with Odeon Theatres, he invented a sound-level control for films and devised a mirror-drum continuous-film projector, but with the outbreak of war in 1939, when the company was evacuated, he chose to stay in London and was interned for a while. Released in 1941, he began work with Henderson and Spalding, a firm of lithographic printers, to whom he unwittingly assigned all future patents for the paltry sum of £1. In due course he perfected a means of printing conducting circuits and on 3 February 1943 he filed three patents covering the process. The British Ministry of Defence rejected the idea, considering it of no use for military equipment, but after he had demonstrated the technique to American visitors it was enthusiastically taken up in the US for making proximity fuses, of which many millions were produced and used for the war effort. Subsequently the US Government ruled that all air-borne electronic circuits should be printed.

In the late 1940s the Instrument Department of Henderson and Spalding was split off as Technograph Printed Circuits Ltd, with Eisler as Technical Director. In 1949 he filed a further patent covering a multilayer system; this was licensed to Pye and the Telegraph Condenser Company. A further refinement, patented in the 1950s, the use of the technique for telephone exchange equipment, but this was subsequently widely infringed and although he negotiated licences in the USA he found it difficult to license his ideas in Europe. In the UK he obtained finance from the National Research and Development Corporation, but they interfered and refused money for further development, and he eventually resigned from Technograph. Faced with litigation in the USA and open infringement in the UK, he found it difficult to establish his claims, but their validity was finally agreed by the Court of Appeal (1969) and the House of Lords (1971).

As a freelance inventor he filed many other printed-circuit patents, including foil heating films and batteries. When his Patent Agents proved unwilling to fund the cost of filing and prosecuting Complete Specifications he set up his own company, Eisler Consultants Ltd, to promote food and space heating, including the use of heated cans and wallpaper! As Foil Heating Ltd he went into the production of heating films, the process subsequently being licensed to Thermal Technology Inc. in California.

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SUBJECT AREA: Metallurgy

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After working as a millwright in Halifax, Riley found employment at the Ormesby Ironworks in Middlesbrough until, in 1869, he became manager of the Askam Ironworks in Cumberland. Three years later, in 1872, he was appointed Blast-furnace Manager at the pioneering Siemens Steel Company's works at Landore, near Swansea in South Wales. Using Spanish ore, he produced the manganese-rich iron (spiegeleisen) required as an additive to make satisfactory steel. Riley was promoted in 1874 to be General Manager at Landore, and he worked with William Siemens to develop the use of the latter's regenerative furnace for the production of open-hearth steel. He persuaded Welsh makers of tin plate to use sheets rolled from lowcarbon (mild) steel instead of from charcoal iron and, partly by publishing some test results, he was instrumental in influencing the Admiralty to build two naval vessels of mild steel, the Mercury and the Iris.

In 1878 Riley moved north on his appointment as General Manager of the Steel Company of Scotland, a firm closely associated with Charles Tennant that was formed in 1872 to make steel by the Siemens process. Already by 1878, fourteen Siemens melting furnaces had been erected, and in that year 42,000 long tons of ingots were produced at the company's Hallside (Newton) Works, situated 8 km (5 miles) south-east of Glasgow. Under Riley's leadership, steelmaking in open-hearth furnaces was initiated at a second plant situated at Blochairn. Plates and sections for all aspects of shipbuilding, including boilers, formed the main products; the company also supplied the greater part of the steel for the Forth (Railway) Bridge. Riley was associated with technical modifications which improved the performance of steelmaking furnaces using Siemens's principles. He built a gasfired cupola for melting pig-iron, and constructed the first British "universal" plate mill using three-high rolls (Lauth mill).

At the request of French interests, Riley investigated the properties of steels containing various proportions of nickel; the report that he read before the Iron and Steel Institute in 1889 successfully brought to the notice of potential users the greatly enhanced strength that nickel could impart and its ability to yield alloys possessing substantially lower corrodibility.

The Steel Company of Scotland paid dividends in the years to 1890, but then came a lean period. In 1895, at the age of 54, Riley moved once more to another employer, becoming General Manager of the Glasgow Iron and Steel Company, which had just laid out a new steelmaking plant at Wishaw, 25 km (15 miles) south-east of Glasgow, where it already had blast furnaces. Still the technical innovator, in 1900 Riley presented an account of his experiences in introducing molten blast-furnace metal as feed for the open-hearth steel furnaces. In the early 1890s it was largely through Riley's efforts that a West of Scotland Board of Conciliation and Arbitration for the Manufactured Steel Trade came into being; he was its first Chairman and then its President.

In 1899 James Riley resigned from his Scottish employment to move back to his native Yorkshire, where he became his own master by acquiring the small Richmond Ironworks situated at Stockton-on-Tees. Although Riley's 1900 account to the Iron and Steel Institute was the last of the many of which he was author, he continued to contribute to the discussion of papers written by others.

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подробные технические требования к изготовлению оборудования
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• detailed technical specification for manufacturing process

university.

universidad a distancia = distance learning university, ? Open University (British)

* * *

► nombre femenino

1 university

\

universidad a distancia Open University

universidad laboral technical college

* * *

* * *

SF university

* * *

femenino university

- universidad a distancia or abierta

- universidad laboral

* * *

= university, college of arts and sciences, college, university college.

Ex. Hugh C, Atkinson, Director of the university of Illinois Libraries, has consistently been in the forefront in applying automation to traditional library problems and services.

Ex. All state-operated colleges of arts and science in New York state were given funds in fiscal year 1987-88 for collection preparation and barcoding.

Ex. Peckham College is a moderately small (1,600 students) private co-educational college in the mid-Atlantic region of the country.

Ex. A disaster management workshop was held at Ballarat University College on 11-12 Feb 93.

----

* biblioteca de universidad politécnica = polytechnic library.

* bibliotecario de universidad = academic librarian, university librarian.

* científico de la universidad = academic scientist.

* Comité de las Universidades Británicas sobre Películas y Vídeos (BUFVC) = British Universities Film and Video Council (BUFVC).

* curso que tiene lugar fuera de la universidad = extension course, off-campus course.

* Departamento de Financiación de las Universidades (UGC) = University Grants Committee (UGC).

* de toda la universidad = university-wide.

* estudiante proveniente de otra universidad = transfer student.

* fuera de la universidad = off-campus.

* página web de universidad = academic site, university site.

* para toda la universidad = university-wide.

* profesor de universidad = university faculty, university lecturer.

* sitio web de universidad = academic site, university site.

* universidad a distancia = open university, open college.

* Universidad de California = UC (University of California).

* Universidad de California en Los Angeles (UCLA) = UCLA (University of California at Los Angeles).

* universidad de verano = summer school.

* universidad estatal = state university.

* universidad laboral = vocational college.

* universidad nacional de educación a distancia (UNED) = open university.

* universidad politécnica = polytechnic.

* universidad privada = private university.

* * *

femenino university

- universidad a distancia or abierta

- universidad laboral

* * *

* * *

university

( Méx) open university

open university

state university

≈ technical college ( school with emphasis on vocational training)

* * *

◊ universidad laboral ≈ technical college ( school with emphasis on vocational training)

* * *

universidad nf

1. [centro educativo] university

universidad de verano university summer school

2. [enseñanza superior] university;

la reforma de la universidad university reform

* * *

f university;

universidad a distancia university correspondence school, Br Open University

* * *

universidad nf

: university

* * *

universidad n university [pl. universities]

SUBJECT AREA: Photography, film and optics

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The only son of Sir William Herschel, the famous astronomer, John graduated from Cambridge in 1813 and went on to become a distinguished astronomer, mathematician and chemist. He left England in November 1833 to set up an observatory near Cape Town, South Africa, where he embarked on a study of the heavens in the southern hemisphere. He returned to England in the spring of 1838, and between 1850 and 1855 Herschel served as Master of the Royal Mint. He made several notable contributions to photography, perhaps the most important being his discovery in 1819 that hyposulphites (thiosulphates) would dissolve silver salts. He brought this property to the attention of W.H.F. Talbot, who in 1839 was using a common salt solution as a fixing agent for his early photographs. After trials, Talbot adopted "hypo", which was a far more effective fixative. It was soon adopted by other photographers and eventually became the standard photographic fixative, as it still is in the 1990s. After hearing of the first photographic process in January 1839, Herschel devised his own process within a week. In September 1839 he made the first photograph on glass. He is credited with introducing the words "positive", "negative" and "snapshot" to photography, and in 1842 he invented the cyanotype or "blueprint" process. This process was later to be widely adopted by engineers and architects for the reproduction of plans and technical drawings, a practice abandoned only in the late twentieth century.

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SUBJECT AREA: Metallurgy

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Reinhard Mannesmann and his four brothers developed the engineering works at Remscheid that had been founded by their father. With his brother Max, Reinhard devised c. 1885 a method of producing seamless tubes by a rolling process. Factories for manufacturing tubes by this process were established at Remscheid, at Bous in the Saar district and at Komotau in Bohemia. Further developments of the process were patented by the brothers in the years following the initial patent of 1885. The British patent rights for the Mannesmann process were purchased by the Landore Siemens Steel Company in 1888, and the Mannesmann Tube Company was established at Landore in South Wales. This company went into liquidation in 1899 after ten years of production and the Tube Works was then purchased by the Mannesmann family, and a new company, the British Mannesmann Tube Company, was formed. Reinhard and Max Mannesmann took up residence near the Landore works and the business prospered so that by 1914 Landore was employing 1,500 men and producing 35,000 tons of tubing each year. The company was taken over during the First World War by the Custodian of Enemy Property, and after the war a new tube works which had been planned in 1914 was built at Newport, Monmouthshire. The Mannesmann family were able to resume control in 1926 for some ten years, but in 1938 the company became part of the Stewarts \& Lloyds organization.

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регламент технической проверки спортивного оборудования
Инструкции в отношении процесса осмотра спортивного оборудования, отмеченного как подлежащее контрольной проверке на соответствие техническим стандартам данного вида спорта.
[Департамент лингвистических услуг Оргкомитета «Сочи 2014». Глоссарий терминов]

EN

sport technical inspection procedure
Instructions on the process for inspecting sport equipment that had been flagged for quality control checks to ensure compliance with sport technical standards.
[Департамент лингвистических услуг Оргкомитета «Сочи 2014». Глоссарий терминов]

Тематики

• спорт (службы Игр)

EN

• sport technical inspection procedure

1) Military: management engineering

2) Engineering: in-process measurement

3) Construction: process control, process inspection

4) Perfume: in-process control

5) Advertising: technical control

6) oil&gas: supervising

SUBJECT AREA: Photography, film and optics

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The young Eastman was a clerk-bookkeeper in the Rochester Savings Bank when in 1877 he took up photography. Taking lessons in the wet-plate process, he became an enthusiastic amateur photographer. However, the cumbersome equipment and noxious chemicals used in the process proved an obstacle, as he said, "It seemed to be that one ought to be able to carry less than a pack-horse load." Then he came across an account of the new gelatine dry-plate process in the British Journal of Photography of March 1878. He experimented in coating glass plates with the new emulsions, and was soon so successful that he decided to go into commercial manufacture. He devised a machine to simplify the coating of the plates, and travelled to England in July 1879 to patent it. In April 1880 he prepared to begin manufacture in a rented building in Rochester, and contacted the leading American photographic supply house, E. \& H.T.Anthony, offering them an option as agents. A local whip manufacturer, Henry A.Strong, invested $1,000 in the enterprise and the Eastman Dry Plate Company was formed on 1 January 1881. Still working at the Savings Bank, he ran the business in his spare time, and demand grew for the quality product he was producing. The fledgling company survived a near disaster in 1882 when the quality of the emulsions dropped alarmingly. Eastman later discovered this was due to impurities in the gelatine used, and this led him to test all raw materials rigorously for quality. In 1884 the company became a corporation, the Eastman Dry Plate \& Film Company, and a new product was announced. Mindful of his desire to simplify photography, Eastman, with a camera maker, William H.Walker, designed a roll-holder in which the heavy glass plates were replaced by a roll of emulsion-coated paper. The holders were made in sizes suitable for most plate cameras. Eastman designed and patented a coating machine for the large-scale production of the paper film, bringing costs down dramatically, the roll-holders were acclaimed by photographers worldwide, and prizes and medals were awarded, but Eastman was still not satisfied. The next step was to incorporate the roll-holder in a smaller, hand-held camera. His first successful design was launched in June 1888: the Kodak camera. A small box camera, it held enough paper film for 100 circular exposures, and was bought ready-loaded. After the film had been exposed, the camera was returned to Eastman's factory, where the film was removed, processed and printed, and the camera reloaded. This developing and printing service was the most revolutionary part of his invention, since at that time photographers were expected to process their own photographs, which required access to a darkroom and appropriate chemicals. The Kodak camera put photography into the hands of the countless thousands who wanted photographs without complications. Eastman's marketing slogan neatly summed up the advantage: "You Press the Button, We Do the Rest." The Kodak camera was the last product in the design of which Eastman was personally involved. His company was growing rapidly, and he recruited the most talented scientists and technicians available. New products emerged regularly—notably the first commercially produced celluloid roll film for the Kodak cameras in July 1889; this material made possible the introduction of cinematography a few years later. Eastman's philosophy of simplifying photography and reducing its costs continued to influence products: for example, the introduction of the one dollar, or five shilling, Brownie camera in 1900, which put photography in the hands of almost everyone. Over the years the Eastman Kodak Company, as it now was, grew into a giant multinational corporation with manufacturing and marketing organizations throughout the world. Eastman continued to guide the company; he pursued an enlightened policy of employee welfare and profit sharing decades before this was common in industry. He made massive donations to many concerns, notably the Massachusetts Institute of Technology, and supported schemes for the education of black people, dental welfare, calendar reform, music and many other causes, he withdrew from the day-to-day control of the company in 1925, and at last had time for recreation. On 14 March 1932, suffering from a painful terminal cancer and after tidying up his affairs, he shot himself through the heart, leaving a note: "To my friends: My work is done. Why wait?" Although Eastman's technical innovations were made mostly at the beginning of his career, the organization which he founded and guided in its formative years was responsible for many of the major advances in photography over the years.

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SUBJECT AREA: Mining and extraction technology

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Pötsch was the son of a forest officer and could not easily attend school, with the consequences that it took him a long time to obtain the scholarly education needed to enable him to begin work on a higher level with the mining administration in the duchy of Anhalt in 1868. Seven years later, he was licensed as a Prussian mining surveyor and in this capacity he worked with the mining inspectorate of Aschersleben. During that time he frequently came across shafts for brown-coal mines which had been sunk down to watery strata but then had to be abandoned. His solution to the problem was to freeze the quicksand with a solution of chloride; this was better than the previous attempts in England to instal cooling coils at the bottom of the shaft. Pötsch's conception implied the construction of ice walls with the means of boreholes and refrigerators. By his method a set of boreholes was driven through the watery strata, the smaller pipes contained within the main bore pipes, providing a channel through which calcium chloride was pumped, returning through the longer pipe until the ground was frozen solid. He obtained a patent in 1883 and many leading international journals reported on the method the same year.

In 1884 he established the Internationale Gesselschaft für Schacht-, Brucken-und Tunnelbau in Magdeburg and he also became Director of the Poetsch-Sooy-Smith Freezing Company in New Jersey, which constructed the first freezing shaft in America in 1888.

However, Pötsch was successful only for a short period of time and, being a clumsy entrepreneur, he had to dissolve his company in 1894. Unfortunately, his decision to carry out the complete shaft-sinking business did not allow him to concentrate on solving upcoming technical problems of his new process. It was Louis Gebhardt (1861–1924), his former engineer, who took care of development, especially in co-operation with French mining engineers, and thus provided the basis for the freezing process becoming widely used for shaft-sinking in complicated strata ever since.

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   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)

1. (за дело, заведение) educational, educative

(за година, помагало) school (attr.)

учебно дело education

учебно-възпитателна работа educative work

учебна година a school year, ( в университета) an academic year

през учебно време during the term

учебни часове school hours

учебен предмет a (school) subject

учебен план curriculum (pl. curricula)

учебни пограма syllabus

учебна техника school aids, training appliances; (technical) teaching aids

2. (който служи за учение) training (attr.), drill (attr.)

учебна кола a test car

учебен кораб/самолет a training ship/machine

ав. penguin

учебен плац воен. exercise-/drill ground

учебен лагер a training camp, a camp of instruction

учебна стрелба artillery practice, ( с пушка) rifle practice

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учѐбен,

прил., -на, -но, -ни 1. (за дело, заведение) educational, educative; (за година, помагало) school (attr.); екскурзия с \учебенна цел study-tour; през \учебенно време during the term; \учебенен план curriculum, pl. curricula; \учебенен предмет (school) subject; \учебенен процес teaching process; \учебенна година school year, (в университета) academic year; \учебенна практика teaching practice; \учебенна програма syllabus; \учебенна техника school aids, training appliances; (technical) teaching aids; \учебенни часове school hours; \учебенно-възпитателна работа educative work; \учебенно дело education;

2. ( който служи за учение) training (attr.), drill (attr.); \учебенен кораб/самолет training ship/machine, авиац. penguin; \учебенен лагер training camp, a camp of instruction; \учебенен патрон dummy cartridge; \учебенен плац воен. exercise-/drill ground; \учебенен център воен. depot; \учебенна кола test car; \учебенна стрелба artillery practice, dummy firing; (с пушка) rifle practice.

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educational: a учебен year - учебна година, a учебен hour - учебен час; practice ; training (за обучение): a учебен engine - учебна машина; scholastic

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