to+learn+to+count

1) цена; стоимость

- prime cost

2) ( costs) эк. затраты, издержки

- menu costs

3) юр. судебные издержки

••

- at any cost

1) прош. вр., прич. прош. вр. cost стоить, обходиться (в какую-л. сумму)

2) прош. вр., прич. прош. вр. cost

а) стоить (усилий, затрат)

б) (дорого) обходиться, быть чреватым (чем-л.)

3) прош. вр., прич. прош. вр. costed назначать цену, определять цену; рассчитывать стоимость (чего-л.); расценивать ( товар)

••

престол (throne, altar, see, Crown, communion table)

епархия (diocese, eparchy, bishopric, see, episcopate)

видать (see)

увидеть (see, spot, sight, catch sight of, make out, spy)

видеть (see, behold, witness, discern, descry, take in)

видеться (see, see each other, appear)

посмотреть (see, look, look at, gaze, cast a look)

смотреть (look, watch, see, view, eye, behold)

наблюдать (watch, see, observe, oversee, supervise, eye)

рассматривать (consider, view, regard, examine, review, see)

понимать (understand, see, realize, comprehend, appreciate, sense)

видаться (see)

встречаться (meet, occur, see, get together, be found, foregather)

позаботиться (see, see to)

увидать (see)

считать (find, think, consider, count, feel, see)

знать (know, be aware of, have, know of, be familiar with, see)

глядеть (look, see)

навещать (visit, see, CALL, call on, call upon, pay a visit to)

узнавать (learn, recognize, know, inquire, find out, see)

провожать (see off, see, follow, take, send off)

находить (find, discover, detect, retrieve, see, trace)

сознавать (realize, be conscious, be aware of, acknowledge, see, be aware that)

пережить (survive, live through, outlive, outlast, live out, see)

выяснять (find out, ascertain, clear, clear up, explore, see)

вообразить (imagine, fancy, see)

испытывать (Test, experience, feel, have, tempt, see)

представлять себе (imagine, fancy, envision, think, conceive, see)

размыслить (see)

смекать (see)

думать (think, believe, suppose, imagine, expect, see)

считать допустимым (see)

считать приемлемым (see)

консультироваться (consult, see)

быть зрителем (spectate, see)

советоваться (consult, see)

принимать (take, accept, receive, adopt, assume, see)

- a propos of nothing

- by doing nothing we learn to do ill

- civility costs nothing

- count for nothing

- dance upon nothing

- for nothing

- good for nothing

- have nothing on smb.

- have nothing to do with smb.

- have nothing to show for it

- he has nothing in him

- he that knows nothing, doubts nothing

- in nothing flat

- it is nothing

- leave nothing to chance

- less than nothing

- like nothing on earth

- the little nothings of life

- make nothing of

- a mere nothing

- no nothing

- nothing comes from nothing

- nothing doing

- nothing for it but to

- nothing for nothing

- nothing if not

- nothing is impossible to a willing heart

- nothing is stolen without hands

- nothing is the matter

- nothing less than

- nothing like

- nothing like as

- nothing like leather

- nothing loth

- nothing much

- nothing near so

- nothing new under the sun

- nothing of the kind

- nothing out of the common

- nothing seek, nothing find

- nothing so bad but it might have been worse

- nothing so good but it might have been better

- nothing stings like the truth

- nothing succeeds like success

- nothing to make a song about

- nothing to speak of

- nothing to write home about

- nothing under the sun

- nothing venture, nothing have

- soft nothings

- stop at nothing

- thank you for nothing!

- that is nothing to him

- there is nothing in it

- to nothing

- to say nothing of...

see [si:]

voir ⇒ 1 (a)-(h), 1 (j)-(o), 1 (q)-(s), 1 (u), 2 (a)-(e) consulter ⇒ 1 (d) rencontrer ⇒ 1 (e) recevoir ⇒ 1 (g) comprendre ⇒ 1 (j) s'imaginer ⇒ 1 (l) s'assurer ⇒ 1 (p) connaître ⇒ 1 (r) accompagner ⇒ 1 (t) comprendre ⇒ 2 (d)

(pt saw [sɔ:], pp seen [si:n])

1 transitive verb

(a) (perceive with eyes) voir;

∎ can you see me? est-ce que tu me vois?;

∎ I can't see a thing je ne vois rien;

∎ she could see a light in the distance elle voyait une lumière au loin;

∎ I could see she'd been crying je voyais qu'elle avait pleuré;

∎ he saw her talk or talking to the policeman il l'a vue parler ou qui parlait au policier;

∎ did anyone see you take it? est-ce que quelqu'un t'a vu le prendre?;

∎ did you see what happened? avez-vous vu ce qui s'est passé?;

∎ let me see your hands fais-moi voir ou montre-moi tes mains;

∎ now see what you've done! regarde ce que tu as fait!;

∎ can I see your newspaper a minute? puis-je voir votre journal ou jeter un coup d'œil sur votre journal un instant?;

∎ I see her around a lot je la croise assez souvent;

∎ I don't want to be seen with him je ne veux pas être vu ou qu'on me voie avec lui;

∎ there wasn't a car to be seen il n'y avait pas une seule voiture en vue;

∎ the cathedral can be seen from a long way off on voit la cathédrale de très loin;

∎ nothing more was ever seen of her on ne l'a plus jamais revue;

∎ it has to be seen to be believed il faut le voir pour le croire;

∎ she began to see spies everywhere elle s'est mise à voir des espions partout;

∎ there's nothing there, you're seeing things! il n'y a rien, tu as des hallucinations!;

∎ I could see what was going to happen (a mile off) je le voyais venir (gros comme une maison);

∎ familiar they saw you coming (a mile off) ils t'ont vu arriver de loin;

∎ could you see your way (clear) to lending me £20? est-ce que vous pourriez me prêter 20 livres?;

∎ to see the back or last of sth en avoir fini avec qch;

∎ I'll be glad to see the back or last of her je serai content d'être débarrassé d'elle

(b) (watch → movie, play, programme) voir;

∎ I saw it on the news je l'ai vu au journal télévisé;

∎ did you see the match last night? as-tu vu le match hier soir?

(c) (refer to → page, chapter) voir;

∎ see page 317 voir page 317;

∎ see above voir plus haut;

∎ see (on) the back voir au verso

(d) (consult → doctor, lawyer) consulter, voir;

∎ you should see a doctor tu devrais voir ou consulter un médecin;

∎ I'll be seeing my lawyer about this je vais consulter mon avocat à ce sujet;

∎ I'll be seeing the candidates next week je verrai les candidats la semaine prochaine;

∎ I want to see the manager je veux voir le directeur;

∎ can I see you for a minute in my office? je peux vous voir un instant dans mon bureau?;

∎ I'd like to see you on business je voudrais vous parler affaires

(e) (meet by chance) voir, rencontrer;

∎ guess who I saw at the supermarket! devine qui j'ai vu ou qui j'ai rencontré au supermarché!

(f) (visit → person, place) voir;

∎ come round and see me some time passe me voir un de ces jours;

∎ they came to see me in hospital ils sont venus me voir à l'hôpital;

∎ I've always wanted to see China j'ai toujours voulu voir la Chine

(g) (receive a visit from) recevoir, voir;

∎ he's too ill to see anyone il est trop malade pour voir qui que ce soit;

∎ she can't see you right now, she's busy elle ne peut pas vous recevoir ou voir maintenant, elle est trop occupée

(h) (spend time with socially) voir;

∎ do you still see the Browns? est-ce que vous voyez toujours les Brown?;

∎ we've seen quite a lot of them recently nous les avons beaucoup vus dernièrement;

∎ we see less of them these days nous les voyons moins en ce moment;

∎ is he seeing anyone at the moment? (going out with) est-ce qu'il a quelqu'un en ce moment?

(i) familiar (saying goodbye)

∎ see you!, (I'll) be seeing you! salut!;

∎ see you later! à tout à l'heure!;

∎ see you around! à un de ces jours!;

∎ see you tomorrow! à demain!;

∎ see you in London! on se verra à Londres!

(j) (understand) voir, comprendre;

∎ I see what you mean je vois ou comprends ce que vous voulez dire;

∎ I don't see what's so funny! je ne vois pas ce qu'il y a de si drôle!;

∎ he can't see the joke il ne comprend pas la plaisanterie;

∎ I could see his point je voyais ce qu'il voulait dire;

∎ I don't see any point in going back now je ne vois pas du tout l'intérêt qu'il y aurait à y retourner maintenant;

∎ I can see why you were worried je vois pourquoi vous étiez inquiet;

∎ I can't see that it matters je ne vois pas quelle importance ça a

(k) (consider, view) voir;

∎ try to see things from my point of view essayez de voir les choses de mon point de vue;

∎ we see things differently nous ne voyons pas les choses de la même façon;

∎ you'll see things differently in the morning demain tu verras les choses d'un autre œil;

∎ that's how I see it c'est comme ça que je vois les choses;

∎ he doesn't see his drinking as a problem il ne se considère pas comme un alcoolique;

∎ how do you see the current situation? que pensez-vous de la situation actuelle?;

∎ as I see it, it's the parents who are to blame à mon avis, ce sont les parents qui sont responsables

(l) (envisage, picture) voir, s'imaginer;

∎ I can't see him getting married je ne le vois pas ou je ne me l'imagine pas se mariant;

∎ I can't see them accepting this je ne peux pas croire qu'ils vont accepter cela;

∎ I can't see you as a boxer je ne te vois pas en boxeur;

∎ she just couldn't see herself as a wife and mother elle ne s'imaginait pas se mariant et ayant des enfants;

∎ I can't see it myself je n'y crois pas trop;

∎ they say this will be more efficient but I don't see it ils disent que cela sera plus efficace, mais je n'y crois pas;

∎ I don't see any chance of that à mon avis c'est peu probable;

∎ can I borrow the car? - I don't see why not est-ce que je peux prendre la voiture? - je n'y vois pas d'inconvénients;

∎ will you finish in time? - I don't see why not vous aurez fini à temps? - il n'y a pas de raison;

∎ what do you see happening next? d'après vous, qu'est-ce qui va se passer ensuite?;

∎ how do you see things developing? comment est-ce que vous envisagez l'avenir?

(m) (try to find out) voir;

∎ I'll see if I can fix it je vais voir si je peux le réparer;

∎ I'll see what I can do je vais voir ce que je peux faire;

∎ go and see if he's still asleep va voir s'il dort encore;

∎ she called by to see what had happened elle est venue pour savoir ce qui s'était passé

(n) (perceive) voir;

∎ I can't see any improvement je ne vois pas d'amélioration;

∎ to see oneself in one's children se reconnaître dans ses enfants;

∎ what can she possibly see in him? qu'est-qu'elle peut bien lui trouver?;

∎ they must have seen how worried I was ils ont dû voir combien j'étais inquiet

(o) (discover, learn) voir;

∎ I'm pleased to see you're enjoying life je suis heureux de voir que tu profites de la vie;

∎ I'll be interested to see how he gets on je serais curieux de voir comment il se débrouillera;

∎ I see (that) he's getting married j'ai appris qu'il allait se marier;

∎ I saw it in the paper this morning je l'ai vu ou lu ce matin dans le journal;

∎ as we shall see in a later chapter comme nous le verrons dans un chapitre ultérieur;

∎ I see she's in the new Scorsese movie je vois qu'elle est dans le nouveau film de Scorsese

(p) (make sure) s'assurer, veiller à;

∎ see that all the lights are out before you leave assurez-vous que ou veillez à ce que toutes les lumières soient éteintes avant de partir;

∎ see that everything's ready for when they arrive veillez à ce que tout soit prêt pour leur arrivée;

∎ I shall see that he comes je me charge de le faire venir;

∎ familiar she'll see you right elle veillera à ce que tu ne manques de rien^□, elle prendra bien soin de toi^□

(q) (inspect → file, passport, ticket) voir;

∎ can I see your ticket, sir? puis-je voir votre ticket, Monsieur?

(r) (experience) voir, connaître;

∎ he thinks he's seen it all il croit tout savoir;

∎ most recruits never see active service la plupart des recrues ne voient jamais la guerre de près;

∎ our car has seen better days notre voiture a connu des jours meilleurs;

∎ the city hasn't seen such crowds in decades la ville n'a pas connu une foule pareille depuis des dizaines d'années;

∎ the country saw many changes le pays a connu de grands changements

(s) (witness) voir;

∎ they have seen their purchasing power halved ils ont vu leur pouvoir d'achat diminuer de moitié;

∎ last year saw an increase in profits l'année dernière a vu une augmentation des bénéfices;

∎ the next decade will see enormous changes la prochaine décennie verra se produire des changements considérables;

∎ I never thought I'd see the day when he'd admit he was wrong je n'aurais jamais cru qu'un jour il admettrait avoir tort;

∎ you don't see athletes like her any more! il n'y a plus beaucoup d'athlètes comme elle!

(t) (accompany) accompagner;

∎ I'll see you to the bus stop je t'accompagne à ou jusqu'à l'arrêt du bus;

∎ I'll see you home je te raccompagne chez toi;

∎ see Mr Smith to the door, please veuillez raccompagner M. Smith jusqu'à la porte;

∎ he saw her into a taxi/onto the train il l'a mise dans un taxi/le train;

∎ to see sb across the road aider qn à traverser la rue

(u) (in poker) voir;

∎ I'll see you je vous vois;

∎ I'll see your $10 and raise you 20 je vous suis à 10 dollars et je relance de 20

2 intransitive verb

(a) (perceive with eyes) voir;

∎ I can't see without (my) glasses je ne vois rien sans mes lunettes;

∎ he may never see again il se peut qu'il ne voie plus jamais;

∎ on a clear day you can see as far as the coast par temps clair on voit jusqu'à la mer;

∎ you can see for miles around la vue s'étend sur des kilomètres;

∎ cats can see in the dark les chats voient dans l'obscurité;

∎ I haven't quite finished - so I see je n'ai pas tout à fait terminé - c'est ce que je vois;

∎ to see into the future voir ou lire dans l'avenir;

∎ she can't see any further than the end of her nose elle ne voit pas plus loin que le bout de son nez;

∎ for all to see au vu et au su de tous

(b) (look) voir;

∎ can I see? je peux voir?;

∎ let me see!, let's see! fais voir!;

∎ see for yourself voyez par vous-même;

∎ familiar see! I told you he wouldn't let us down tu vois! je t'avais dit qu'il ne nous laisserait pas tomber

(c) (find out) voir;

∎ is that the baby crying? - I'll go and see c'est le bébé qu'on entend pleurer? - je vais voir;

∎ you'll see! tu verras!;

∎ we shall see nous verrons (bien);

∎ we'll soon see on le saura vite;

∎ we'll soon see if… on saura vite si…

(d) (understand) voir, comprendre;

∎ it makes no difference as far as I can see autant que je puisse en juger, ça ne change rien;

∎ you see, there's something else you should know tu vois, il y a quelque chose d'autre que tu devrais savoir;

∎ I was tired, you see, and… j'étais fatigué, voyez-vous, et…;

∎ I see je vois;

∎ familiar I don't want any trouble, see? je ne veux pas d'histoires, OK?;

∎ familiar old-fashioned now see here, young man! écoutez-moi, jeune homme!

(e) (consider)

∎ let me or let's see voyons voir;

∎ it was, let me see, in 1938 c'était, voyons (voir), en 1938;

∎ Mum said you'd take us to the fair - we'll see Maman a dit que tu nous amènerais à la foire - on verra (ça)

3 noun

Religion (of bishop) siège m épiscopal, évêché m; (of archbishop) archevêché m

➲ see about inseparable transitive verb

(a) (deal with) s'occuper de;

∎ I'll see about making the reservations je m'occuperai des réservations;

∎ they're sending someone to see about the gas ils envoient quelqu'un pour vérifier le gaz

(b) (consider) voir;

∎ I'll see about it je verrai ça;

∎ we'll have to see about getting a new car il va falloir songer à acheter une nouvelle voiture;

∎ familiar they won't let us in - we'll (soon) see about that! ils ne veulent pas nous laisser entrer - c'est ce qu'on va voir!

➲ see around inseparable transitive verb

= see round

➲ see in

1 separable transitive verb

(a) (escort) faire entrer

(b) (celebrate)

∎ to see in the New Year fêter le Nouvel An

2 intransitive verb

voir à l'intérieur;

∎ the curtains were drawn, so we couldn't see in les rideaux étaient tirés, nous ne pouvions pas voir à l'intérieur

➲ see off separable transitive verb

(a) (say goodbye to) dire au revoir à;

∎ she came to see me off at the station elle est venue à la gare me dire au revoir

(b) (chase away) chasser;

∎ see him off! (to dog) chasse-le!

(c) (repel → attack) repousser

➲ see out separable transitive verb

(a) (accompany to the door) reconduire ou raccompagner à la porte;

∎ can you see yourself out? pouvez-vous trouver la sortie tout seul?;

∎ goodbye, I'll see myself out au revoir, ce n'est pas la peine de me raccompagner

(b) (stay or last until end of)

∎ I'll see another year out here then go home je vais passer une autre année ici puis je rentrerai;

∎ we've got enough food to see the week out nous avons assez à manger pour tenir jusqu'à la fin de la semaine;

∎ I don't think these boots will see the winter out je ne crois pas que ces bottes feront l'hiver;

∎ he isn't expected to see out the week il y a peu de chances qu'il survive jusqu'à la fin de la semaine;

∎ he'll see us all out! (will survive us) il nous enterrera tous!

(c) (celebrate)

∎ to see out the Old Year fêter le Nouvel An

➲ see over inseparable transitive verb

= see round

➲ see round inseparable transitive verb

visiter;

∎ they came to see round the house ils sont venus pour visiter la maison

➲ see through

1 inseparable transitive verb

(a) (window, fabric) voir à travers

(b) (be wise to → person) percer à jour, voir dans le jeu de; (→ trick, scheme, behaviour) ne pas se laisser tromper par;

∎ I saw through him je l'ai percé à jour, j'ai vu dans son jeu;

∎ she saw through his apparent cheerfulness elle ne s'est pas laissée tromper par ou elle n'a pas été dupe de son apparente bonne humeur;

∎ I saw through their little game j'ai vite compris leur petit jeu

2 separable transitive verb

(a) (bring to a successful end) mener à bonne fin;

∎ we can count on her to see the job through on peut compter sur elle pour mener l'affaire à bien

(b) (stay until end of)

∎ to see a show/film through assister à un spectacle/regarder un film jusqu'au bout

(c) (support, sustain)

∎ I've got enough money to see me through the week j'ai assez d'argent pour tenir jusqu'à la fin de la semaine;

∎ £20 should see me through (to Monday) 20 livres devraient me suffire (jusqu'à lundi);

∎ their love has seen them through many a crisis leur amour les a aidés à surmonter de nombreuses crises;

∎ her good humour will always see her through any difficulties sa bonne humeur lui permettra toujours de traverser les moments difficiles

➲ see to inseparable transitive verb

(a) (look after) s'occuper de;

∎ I'll see to the dinner je m'occuperai du dîner;

∎ I'll see to it je vais m'en occuper, je m'en charge;

∎ see to it that everything's ready by 5 p.m. veillez à ce que tout soit prêt pour 17 heures;

∎ she saw to it that our picnic was ruined elle a fait en sorte de gâcher notre pique-nique

(b) (repair) réparer;

∎ you should get the brakes seen to tu devrais faire réparer les freins

SUBJECT AREA: Land transport

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[br]

[br]

Little is known of Shillibeer's early life except that he was for some years resident in France. He served as a midshipman in the Royal Navy before joining the firm of Hatchetts in Long Acre, London, to learn coachbuilding. He set up as a coachbuilder in Paris soon after the end of the Napoleonic Wars, and prospered. Early in the 1820s Jacques Laffite ordered two improved buses from Shillibeer. Their success prompted Shillibeer to sell up his business and return to London to start a similar service. His first two buses in London ran for the first time on 4 July 1829, from the Yorkshire Stingo at Paddington to the Bank, a distance of 9 miles (14 km) which had taken three hours by the existing short-stagecoaches. Shillibeer's vehicle was drawn by three horses abreast, carried twenty-two passengers at a charge of one shilling for the full journey or sixpence for a part-journey. These fares were a third of that charged for an inside seat on a short-stagecoach. The conductors were the sons of friends of Shillibeer from his naval days. He was soon earning £1,000 per week, each bus making twelve double journeys a day. Dishonesty was rife among the conductors, so Shillibeer fitted a register under the entrance step to count the passengers; two of the conductors who had been discharged set out to wreck the register and its inventor. Expanded routes were soon being travelled by a larger fleet but the newly formed Metropolitan Police force complained that the buses were too wide, so the next buses had only two horses and carried sixteen passengers inside with two on top. Shillibeer's partner, William Morton, failed as competition grew. Shillibeer sold out in 1834 when he had sixty buses, six hundred horses and stabling for them. He started a long-distance service to Greenwich, but a competing railway opened in 1835 and income declined; the Official Stamp and Tax Offices seized the omnibuses and the business was bankrupted. Shillibeer then set up as an undertaker, and prospered with a new design of hearse which became known as a "Shillibeer".

[br]

   paзг.

   нaбить pуку, ocвoитьcя, пoднaтopeть

    You've got to learn to cane chairs, so the warden says... You're supposed to do ten of those a day. We won't count the next few days, though, until you get your hand in (Th. Dreiser)

[kɔst]

acquisition cost первоначальная стоимость acquisition cost стоимость приобретения acquistion cost стоимость приобретения actual cost реальная стоимость actual cost фактическая себестоимость all-in cost высокий процент для дебитора alternative cost эк.произ. альтернативные издержки производства alternative cost эк.произ. оптимальные издержки applied cost понесенные расходы appraisal cost стоимость оценки cost price себестоимость; cost accounting ведение отчетности; калькуляция стоимости; at any cost, at all costs любой ценой; во что бы то ни стало cost price себестоимость; cost accounting ведение отчетности; калькуляция стоимости; at any cost, at all costs любой ценой; во что бы то ни стало at the cost (of smth.) ценою (чего-л.); at one's cost за (чей-л.) счет at the cost (of smth.) ценою (чего-л.); at one's cost за (чей-л.) счет breakeven cost издержки при критическом объеме производства breaking-in cost стоимость освоения изделия burial cost стоимость похорон business cost расходы по торгово-промышленной деятельности capitalized cost стоимость реального основного капитала construction cost стоимость строительства cost назначать цену, расценивать (товар) cost назначать цену cost оценивать товар cost расплата cost расход (времени); расходование cost расходы cost стоимость cost стоить, обходиться; it cost him infinite labour это стоило ему огромного труда; it may cost you your life это может стоить вам жизни cost стоить cost pl судебные издержки cost судебные издержки cost цена, стоимость (тж. перен.); prime cost фабричная себестоимость; costs of production издержки производства; cost of living прожиточный минимум cost цена cost and freight ком. стоимость и фрахт; cost, insurance and freight (сокр. с. i. f.) ком. стоимость, страхование, фрахт cost and freight ком. стоимость и фрахт; cost, insurance and freight (сокр. с. i. f.) ком. стоимость, страхование, фрахт freight: cost and cost (C and F) стоимость и фрахт cost of acquisition стоимость покупки cost of acquisition стоимость приобретения cost of capital стоимость капитала cost of clearance of debris стоимость очистки от строительного мусора cost of demolition стоимость разборки cost of dismantling стоимость демонтажа cost of goods sold стоимость проданных товаров cost of heating стоимость отопления cost of issue бирж. стоимость эмиссии cost of labour стоимость рабочей силы cost of legal proceedings стоимость судебного разбирательства cost цена, стоимость (тж. перен.); prime cost фабричная себестоимость; costs of production издержки производства; cost of living прожиточный минимум cost of living прожиточный минимум cost of living стоимость жизни cost of materials стоимость материалов cost of office and workshop space стоимость конторских и производственных помещений cost of production издержки производства cost of production себестоимость cost of repairs стоимость ремонта cost of replacement стоимость замены cost of sales себестоимость реализованной продукции cost of transportation транспортные расходы cost of treatment insurance страхование стоимости лечения cost of upkeep стоимость содержания в исправности cost per bit вчт. стоимость за бит cost per thousand цена за тысячу единиц продукции cost price себестоимость; cost accounting ведение отчетности; калькуляция стоимости; at any cost, at all costs любой ценой; во что бы то ни стало price: cost cost цена, принимаемая при калькуляции издержек производства cost cost цена cost cost цена производства cost to borrower стоимость кредита cost цена, стоимость (тж. перен.); prime cost фабричная себестоимость; costs of production издержки производства; cost of living прожиточный минимум to count the cost взвесить все обстоятельства current cost стоимость в текущих ценах delivery cost стоимость доставки delivery cost стоимость поставки development cost стоимость опытно-конструкторских работ development cost стоимость разработки estimated cost ориентировочная стоимость estimated cost сметная стоимость estimated prime cost оценка себестоимости extra cost дополнительная стоимость factor cost прямые затраты factor cost прямые издержки factor cost факторные издержки factory cost заводская себестоимость funeral cost стоимость похорон harvesting cost стоимость уборки урожая historical cost эк.произ. первоначальная стоимость historical cost эк.произ. стоимость приобретения housing cost стоимость жилищного стороительства idle capacity cost стоимость резерва производственной мощности idle facilities cost стоимость бездействующих производственных мощностей imputed cost вмененная стоимость промежуточного продукта imputed cost вмененные издержки indemnity cost стоимость компенсации initial cost первоначальная стоимость initial cost стоимость приобретения cost and freight ком. стоимость и фрахт; cost, insurance and freight (сокр. с. i. f.) ком. стоимость, страхование, фрахт inventoriable cost инвентаризируемая стоимость cost стоить, обходиться; it cost him infinite labour это стоило ему огромного труда; it may cost you your life это может стоить вам жизни cost стоить, обходиться; it cost him infinite labour это стоило ему огромного труда; it may cost you your life это может стоить вам жизни job cost вчт. учет себестомости работ to know (to learn) to one's own cost знать (узнать) по горькому опыту labour cost стоимость рабочей силы loading cost стоимость погрузки loading cost стоимость погрузочных работ maintenance cost стоимость технического обслуживания manufacturing cost заводская себестоимость manufacturing: cost производственный; manufacturing cost стоимость производства marginal cost предельно высокая себестоимость opeerating cost производственные издержки opportunity cost вмененные издержки фирмы в результате принятого альтернативного курса opportunity cost вмененные потери в результате неиспользования альтернативного курса opportunity cost дополнительные издержки в виде переплаты за определенный фактор производства при сложившейся конъюнктуре opportunity cost издержки выбора инвестиций с меньшим доходом и большим риском в надежде на повышенную прибыль opportunity cost самый высокий доход по альтернативному виду инвестиций original cost первоначальная стоимость original cost первоначальные расходы original cost стоимость приобретения overhead costs накладные расходы costs: overhead cost накладные расходы partition cost стоимость раздела (имущества, территории) predicted cost нормативные издержки predicted cost стоимостные нормы cost цена, стоимость (тж. перен.); prime cost фабричная себестоимость; costs of production издержки производства; cost of living прожиточный минимум prime cost прямые издержки prime cost себестоимость prime cost фабричная цена prime: cost первоначальный, первичный; prime cause первопричина; prime cost полит.-эк. себестоимость production cost заводская себестоимость production cost производственные расходы proportional cost пропорциональная расценка repair cost стоимость ремонта replacement cost восстановительная стоимость replacement cost издержки замещения выбывающего основного капитала residual cost остаточная стоимость restoration cost стоимость реставрации running cost стоимость эксплуатации salvage cost стоимость спасательных работ sell below cost продавать ниже себестоимости sell below cost продавать ниже стоимости single cost себестоимость на единицу товара stabilization cost стоимость стабилизации standard cost типовая стоимость step cost скачкообразное изменение стоимости step cost скачок затрат storage cost стоимость хранения surplus cost чрезмерные затраты target cost запланированная величина издержек target cost плановые издержки total cost общая стоимость total delay cost вчт. общая стоимость ожидания total production cost общая заводская себестоимость unit cost себестоимость единицы продукции unit labour cost затраты на рабочую силу в расчете на единицу продукции unit labour cost удельные затраты на рабочую силу upkeep cost стоимость содержания variable cost переменные затраты variable cost переменные издержки variable cost переменные расходы weighted average cost средневзвешенная стоимость

   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)