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to have a capacity for learning

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1 ♦ capacity

♦ capacity /kəˈpæsətɪ/
n.

1 [u] (o solo sing.) capacità; capienza; ( di camion e sim.) portata: measures of capacity, misure di capacità; seating capacity, numero di posti a sedere; capienza; filled to capacity, completamente pieno; al completo; (di locale, anche) con un pienone

2 [u] (o solo sing.) (ind.) capacità produttiva; rendimento: at full capacity, a piena capacità; a pieno regime; al massimo; excess (o surplus) capacity, capacità eccedente

3 [cu] capacità; dote; disposizione; attitudine: creative capacities, capacità creative; creatività; a capacity to maintain discipline, la capacità di tenere la disciplina; to have a capacity for learning, avere attitudine ad apprendere; to have a capacity for friendship, essere portato a fare amicizie; to have a capacity for hard work, essere un gran lavoratore

4 (leg.) capacità: capacity to act, capacità d'agire ( in giudizio, ecc.); capacity to contract, capacità giuridica (o di contrarre)

5 funzione; posizione; qualità; ruolo; veste: in an advisory capacity, in qualità di consigliere; con funzioni consultive; I was acting in my capacity as magistrate, ho agito nella mia qualità di magistrato; in an official capacity, in veste ufficiale; in one's private capacity, in veste di privato cittadino; in a private capacity, a titolo personale

6 [u] (o solo sing.) (autom., mecc.) cilindrata

7 [u] (o solo sing.) (ind. costr., idraul.) portata

8 (elettr.) ► capacitance

9 [u] (o solo sing.) (comput., = storage capacity) capacità ( di memoria)

● capacity audience, sala piena; tutto esaurito □ (econ.) capacity costs, costi di piena utilizzazione ( della capacità produttiva) □ capacity crowd, pienone; il tutto esaurito □ capacity test, test attitudinale □ (econ.) capacity utilization, utilizzazione della capacità produttiva.

English-Italian dictionary > ♦ capacity
2 capacity

capacity ⇒ Capacity measurement n

1 ( ability to hold) (of box, bottle) contenance f ; ( of barrel) capacité f (of de) ; (of concert, theatre building) capacité f d'accueil ; ( of road) capacité f ; the theatre has a capacity of 500 le théâtre peut accueillir 500 personnes ; seating/storage capacity capacité d'accueil/de stockage ; the theatre was packed ou full to capacity le théâtre était comble ; to have a great capacity for alcohol hum avoir une bonne descente ○ ;

2 ( ability to produce) capacité f ; processing capacity capacité de traitement ; manufacturing ou production capacity capacité de production ; to operate at full capacity opérer au maximum de ses capacités ; the plant is stretched to capacity l'usine tourne au maximum de ses capacités ;

3 ( role) in my capacity as a doctor en ma qualité de médecin ; she was employed in an advisory/in a private capacity elle était employée à titre consultatif/à titre privé ; I have been employed in various capacities j'ai été employé à divers titres ;

4 ( ability) to have a capacity for avoir un don pour [learning, maths] ; a capacity for doing une aptitude à faire ; she has a great capacity for friendship/hard work elle a une grande aptitude à se faire des amis/bien travailler ; to have the capacity to do avoir les moyens de faire ; he has the capacity to do well il a les moyens de bien faire ; the task/exam is well within your capacities ce travail/examen est tout à fait à votre portée ;

5 Aut cylindrée f ;

6 Electron capacité f ;

7 Jur capacité f.

Big English-French dictionary > capacity
3 capacity

capacity [kəˈpæsɪtɪ]

1. noun

   a. [of container] contenance f ; [of hall, hotel] capacité f

• filled to capacity [hall, bus] bondé

   b. ( = production potential) capacité f de production ; ( = output, production) rendement m

• to work at full capacity [factory] fonctionner à plein rendement

   c. ( = mental ability also capacities aptitude f

• her mental capacities ses capacités intellectuelles

• capacity to do or for doing sth aptitude f à faire qch

   d. ( = position) qualité f, titre m

• in his official capacity à titre officiel

• in an advisory capacity à titre consultatif

2. compounds

► capacity audience noun

• they were hoping for a capacity audience ils espéraient faire salle comble ► capacity crowd noun

• there was a capacity crowd il n'y avait plus une place de libre

* * *
[kə'pæsətɪ]
noun

1) ( ability to hold) (of box, bottle) contenance f; ( of barrel) capacité f (of de); ( of building) capacité f d'accueil; ( of road) capacité f

seating/storage capacity — capacité d'accueil/de stockage

packed ou full to capacity — comble

2) ( of factory) capacité f de production

to operate at full capacity — opérer au maximum de ses capacités

the plant is stretched to capacity — l'usine tourne au maximum de ses capacités de production

3) ( role)

in my capacity as a doctor — en ma qualité de médecin

in an advisory capacity — à titre consultatif

4) ( ability)

to have a capacity for — avoir de la facilité pour [learning, maths]

a capacity for doing — une aptitude à faire

a great capacity for hard work — une grande capacité de travail

to have the capacity to do — avoir les moyens de faire

the task is well within your capacities — vous êtes parfaitement capable de faire ce travail

5) Automobile cylindrée f

6) Electricity capacité f

7) Law capacité f

English-French dictionary > capacity
4 capacity

noun

1) (power) Aufnahmefähigkeit, die; (to do things) Leistungsfähigkeit, die

2) no pl. (maximum amount) Fassungsvermögen, das

the machine is working to capacity — die Maschine ist voll ausgelastet

a seating capacity of 300 — 300 Sitzplätze

filled to capacity — [Saal, Theater] bis auf den letzten Platz besetzt; attrib.

the film drew capacity audiences/houses for ten weeks — zehn Wochen lang waren alle Vorstellungen dieses Films ausverkauft

3) (measure) Rauminhalt, der; Volumen, das

4) (position) Eigenschaft, die; Funktion, die

in his capacity as critic/lawyer — etc. in seiner Eigenschaft als Kritiker/Anwalt usw

* * *
[kə'pæsəti]
plural - capacities; noun

1) (ability to hold, contain etc: This tank has a capacity of 300 gallons.) das Fassungsvermögen

2) (ability: his capacity for remembering facts.) die Fähigkeit

3) (position: in his capacity as a leader.) die Stellung

* * *

ca·pac·ity

[kəˈpæsəti, AM -ət̬i]

I. n

1. (cubic capacity) Fassungsvermögen nt; (available space) Rauminhalt m, Volumen nt

the stadium has a seating \capacity of 50,000 das Stadium hat 50.000 Sitzplätze

2. no pl (ability) Fähigkeit f, Vermögen nt

it seems to be beyond his \capacity to do that offensichtlich ist er damit überfordert

is it within her \capacity to do it? ist sie in der Lage, das zu tun?

mental \capacity geistige Fähigkeiten pl

\capacity for action Handlungsfähigkeit f

\capacity for investment Investitionsfähigkeit f

to have a \capacity for sth etw gut können

to have a \capacity for alcohol [or drink] trinkfest sein

3. no pl LAW Geschäftsfähigkeit f, Rechtsfähigkeit f

person of full age and \capacity volljährige und geschäftsfähige Person

4. no pl MIL

military \capacity militärische Schlagkraft

5. (output) Leistung[sfähigkeit] f

6. no pl (maximum output) Kapazität f

to be full to \capacity absolut voll sein

filled to \capacity ganz voll, randvoll

to work below/at full \capacity nicht ganz/voll ausgelastet sein

7. (position) Funktion f, Stellung f; (role) Eigenschaft f

he was speaking in his \capacity as a critic er sprach in seiner Eigenschaft als Kritiker

in her \capacity as a lawyer [in ihrer Funktion] als Anwältin

8. FIN (solvency) Kreditfähigkeit f

9. (production)

industrial [or manufacturing] [or production] \capacity Produktionskapazität f

\capacity utilization Kapazitätsauslastung f

II. n modifier

1. (maximum) Höchst-, Maximal-

the hotel is at \capacity occupancy das Hotel ist voll belegt

to carry a \capacity load voll beladen sein

\capacity working ECON Vollauslastung f

2. THEAT, MUS

to play to \capacity audience vor ausverkauftem Saal spielen

the star was cheered by a \capacity crowd ein volles Haus jubelte dem Star zu

* * *
[kə'psItɪ]
n

1) (= cubic content etc) Fassungsvermögen nt, (Raum)inhalt m; (= maximum output) Kapazität f; (= maximum weight) Höchstlast f; (AUT, = engine capacity) Hubraum m

filled to capacity — randvoll; (hall) bis auf den letzten Platz besetzt

seating capacity of 400 — 400 Sitzplätze

to work to capacity — voll ausgelastet sein

working at full capacity — voll ausgelastet

the Stones played to capacity audiences — die Stones spielten vor ausverkauften Sälen

2) (= ability) Fähigkeit f

his capacity for learning — seine Lern- or Aufnahmefähigkeit

he has a great capacity for work — er kann sehr gut arbeiten

this work is within/beyond his capacity — er ist zu dieser Arbeit fähig/nicht fähig

3) (= role, position) Eigenschaft f, Funktion f

in my capacity as a doctor — (in meiner Eigenschaft) als Arzt

speaking in his official capacity as mayor, he said... — er sagte in seiner Eigenschaft als Bürgermeister...

in a personal capacity — als Privatperson

they refused to employ him in any capacity whatsoever — sie lehnten es ab, ihn in irgendeiner Form zu beschäftigen

4) (= legal power) Befugnis f

* * *

capacity [kəˈpæsətı]

A s

1. a) Fassungsvermögen n, Kapazität f:

filled to capacity bis auf den letzten Platz gefüllt, THEAT etc (bis auf den letzten Platz) ausverkauft

b) (Raum)Inhalt m, Volumen n: → academic.ru/45817/measure">measure A 1

2. PHYS Aufnahmefähigkeit f

3. ELEK

a) Kapazität f

b) Leistungsfähigkeit f, Belastbarkeit f

4. SCHIFF, BAHN Ladefähigkeit f

5. (Leistungs)Fähigkeit f, Vermögen n:

capacity for learning Lernfähigkeit;

capacity for remembering Erinnerungsvermögen;

have the capacity to do sth das Zeug dazu haben, etwas zu tun umg

6. WIRTSCH, TECH Kapazität f, Leistungsfähigkeit f, (Nenn)Leistung f:

work to capacity mit Höchstleistung arbeiten, voll ausgelastet sein

7. fig (geistiges) Fassungsvermögen, Auffassungsgabe f:

that is beyond his capacity damit ist er überfordert, das ist für ihn zu hoch;

the book is well within the capacity of young readers das Buch können auch junge Leser ohne Weiteres verstehen

8. Eigenschaft f, Stellung f:

in his capacity as in seiner Eigenschaft als

9. JUR (Geschäfts-, Testier- etc) Fähigkeit f:

capacity to sue and to be sued Prozessfähigkeit

B adj

1. maximal, Höchst…:

capacity business Rekordgeschäft n

2. capacity audience THEAT etc (bis auf den letzten Platz) ausverkauftes Haus;

capacity crowd SPORT ausverkauftes Stadion

3. ELEK kapazitiv ( → capacitive)

cap. abk

1. capacity

2. capital

* * *

noun

1) (power) Aufnahmefähigkeit, die; (to do things) Leistungsfähigkeit, die

2) no pl. (maximum amount) Fassungsvermögen, das

the machine is working to capacity — die Maschine ist voll ausgelastet

a seating capacity of 300 — 300 Sitzplätze

filled to capacity — [Saal, Theater] bis auf den letzten Platz besetzt; attrib.

the film drew capacity audiences/houses for ten weeks — zehn Wochen lang waren alle Vorstellungen dieses Films ausverkauft

3) (measure) Rauminhalt, der; Volumen, das

4) (position) Eigenschaft, die; Funktion, die

in his capacity as critic/lawyer — etc. in seiner Eigenschaft als Kritiker/Anwalt usw

* * *

n.

Fassungsvermögen n.

Inhalt -e m.

Kapazität f.

Leistung -en f.

Leistungsfähigkeit f.

Leistungsvermögen n.

Volumen - n.

English-german dictionary > capacity
5 capacity

[kë'pæsëti] n 1. nxënësi, vëllim; have a capacity of four litres nxë katër litra. 2. aftësi, mundësi; a great capacity for learning aftësi e madhe për të mësuar. 3. cilësi, pozitë; he may act in the capacity of guardian ai mund të veprojë në cilësinë e kujdestarit

* * *

kapacitet

English-Albanian dictionary > capacity
6 capacity

kəˈpæsɪtɪ
1. сущ.
1) вместимость, емкость (любая, напр., конденсатора) ;
объем (в частности, суммарный объем цилиндров в двигателе внутреннего сгорания) storage capacity ≈ вместимость хранилища capacity house ≈ переполненный театр capacity production ≈ нормальная производительность Our capacity for giving care, love and attention is limited. ≈ Наши возможности для проявлению заботы, любви и внимания ограничены. fill to capacity play to capacity lung capacity measure of capacity seating capacity capacity for heat capacity for moisture
2) способность( for - к чему-л.) ;
особ. умственные способности earning capacity ≈ трудоспособность intellectual, mental capacity ≈ умственные способности capacity for making friends ≈ легкость характера, коммуникабельность, способность сходиться с людьми mind of great capacity ≈ глубокий ум She has the capacity to go all the way to the top. ≈ У нее хватит сил пройти весь путь до самой вершины. Syn: faculty
1)
3) роль, положение, должность, "качество" (может прямо не переводиться) I am dead in a natural capacity, dead in a poetical capacity, and dead in a civil capacity. ≈ Я мертв как человек, мертв как поэт, мертв как гражданин. The King, in his individual capacity, had very little to give. ≈ Король, сам по себе, не имел почти ничего. The moon will act in the capacity of a guide. ≈ Луна послужит проводником. In what capacity these people came over, I find not. ≈ Не понимаю, в каком качестве прибыли эти люди.
4) возможность capacity for adjustments ≈ приспособляемость export capacity ≈ экспортные возможности
5) юр. правоспособность contractual capacity ≈ договорная правоспособность capacity to marry ≈ способность (правовая) к вступлению в брак be in capacity
6) тех. мощность, нагрузка, производительность;
пропускная способность at capacity ≈ при мощности, при нагрузке full, peak capacity ≈ полная мощность, максимальная производительность labour capacity ≈ производительность труда plant capacity ≈ сила внушения productive capacity ≈ производительность, производственная мощность
2. прил. огромный, полный, ошеломляющий (см. значение capacity
1.
1) Swimming baths, of course, attracted capacity crowds throughout the day. ≈ Плавательный бассейн, разумеется, ломился от желающих туда попасть. Both the play and film are now drawing capacity houses in London. ≈ И пьеса, и фильм идут в Лондоне при заполненных до отказа залах. емкость, вместимость, объем - carrying * вместимость (автобуса, трамвая и т. п.) ;
пропускная способность - lung * (физиологическое) жизненная емкость легких - * audience переполненный зал;
полный сбор - the play drew * audiences пьеса шла с аншлагом - * of vehicle вместимость /грузоподъемность/ транспортной единицы - * of craft( морское) водоизмещение - measure of * мера объема - the hall has a seating * of 2000 в зале 2000 (сидячих) мест - to play to * давать полные сборы - to fill to * наполнять до отказа - packed to * набит битком, переполнен литраж, рабочий объем цилиндра - with a * of 5 gallons емкостью в пять галлонов пропускная способность - * of highway /of road/ пропускная способность дороги( for, of) способность (к чему-л., на что-л.) - * to pay платежеспособность - he had a * for friendship он умел быть другом - a * for work работоспособность - a cild's * for learning восприимчивость ребенка к учению - * for adjustments приспособляемость - * of earning a living трудоспособность - * to transact business дееспособность;
(юридическое) правоспособность - contractual * договорная правоспособность - * to marry способность (правовая) к вступлению в брак - * of corporations правоспособность юридических лиц умственные способности - a person of * способный человек - a mind of great * глубокий ум компетенция - in my * в пределах моей компетенции должность, качество;
положение - in (an) official * в официальном качестве - in the * of an engineer в должности инженера, как инженер - in the * of a friend в качестве друга, как друг номинальная мощность;
максимальная производительность - labour * производительность труда - * load полная нагрузка - * operations работа на полную мощность /с полной нагрузкой/ - * factor коэффициент использования - to work at /to/ * работать на полную мощность /с полной нагрузкой/ производственные мощности - * rate норма загрузки производственных мощностей электрическая емкость - * reactance (электротехника) емкостное сопротивление( техническое) предельные габариты обрабатываемого (на станке) изделия (информатика) (компьютерное) объем, (информационная) емкость - memory * объем памяти (информатика) (компьютерное) разрядность (слова или регистра) ;
пропускная способность (канала связи;
тж. channel *) backup ~ вчт. емкость резервной памяти bit ~ вчт. емкость в битах block ~ вчт. емкость блока borrowing ~ возможность получения займа capacity вместимость;
to fill to capacity наполнять до отказа;
seating capacity количество сидячих мест ~ вместимость ~ возможность;
capacity for adjustments приспособляемость;
export capacity экспортные возможности ~ выработка ~ дееспособность ~ должность, должностное положение ~ допустимая нагрузка машины ~ емкость ~ компетенция;
in (out of) my capacity в (вне) моей компетенции ~ компетенция ~ емкость;
объем;
measure of capacity мера объема ~ тех. мощность, производительность, нагрузка;
labour capacity производительность труда;
carrying capacity пропускная способность to ~ на полную мощность ~ номинальная мощность ~ паспортная мощность ~ положение;
качество ~ юр. правоспособность ~ правоспособность ~ производительность ~ производственная мощность ~ пропускная способность to ~ с полной нагрузкой ~ способность (for - к чему-л.) ;
особ. умственные способности;
a mind of great capacity глубокий ум ~ способность ~ техническая мощность ~ электрическая емкость ~ attr.: ~ house переполненный театр;
capacity production нормальная производительность ~ attr.: ~ reactance эл. емкостное сопротивление ~ возможность;
capacity for adjustments приспособляемость;
export capacity экспортные возможности ~ attr.: ~ house переполненный театр;
capacity production нормальная производительность ~ of cargo spaces вместимость грузовых помещений судна ~ attr.: ~ house переполненный театр;
capacity production нормальная производительность ~ attr.: ~ reactance эл. емкостное сопротивление ~ to be sued дееспособность ~ to be sued способность отвечать по иску ~ to contract способность заключать договор contract: capacity to ~ способность заключать договор ~ to sue способность выступать в качестве истца sue: capacity to ~ правоспособность ~ to sue and be sued правоспособность выступать в качестве истца и отвечать по иску ~ to sue and be sued способность искать и отвечать ~ to work работоспособность cargo ~ суд. грузовместимость cargo ~ суд. грузоподъемность cargo carrying ~ суд. грузовместимость cargo carrying ~ суд. грузоподъемность cargo-carrying ~ грузоподъемность ~ тех. мощность, производительность, нагрузка;
labour capacity производительность труда;
carrying capacity пропускная способность carrying ~ грузоподъемность carrying ~ грузоподъемность carrying ~ пропускная способность channel ~ вчт. пропускная способность канала code ~ вчт. емкость кода communication channel ~ вчт. емкость канала связи contractual ~ договорная мощность contractual ~ контрактная правоспособность counter ~ вчт. емкость счетчика coverage ~ возможность покрытия cropping ~ продуктивность культуры cropping ~ урожайность культуры current carrying ~ вчт. допустимая нагрузка dead weight cargo ~ (DWCC) суд. валовая грузоподъемность dead weight cargo ~ (DWCC) суд. дедвейт dead weight cargo ~ (DWCC) суд. полная грузоподъемность debt servicing ~ способность обслуживания долга device ~ вчт. число накопителей в корпусе display ~ вчт. емкость дисплея earning ~ доходность earning ~ потенциальный доход индивидуумов earning ~ рентабельность effective ~ действующая мощность effective ~ эффективная мощность exceed ~ вчт. избыточная емкость excess ~ избыточные производственные мощности excess ~ неиспользуемые производственные мощности excess ~ резерв производственных мощностей excess plant ~ избыточные производственные мощности ~ возможность;
capacity for adjustments приспособляемость;
export capacity экспортные возможности export ~ экспортные возможности fiduciary ~ положение доверенного лица capacity вместимость;
to fill to capacity наполнять до отказа;
seating capacity количество сидячих мест filled to ~ вчт. заполненный до отказа fiscal ~ налогоспособность formatted ~ вчт. форматная емкость full legal ~ полная дееспособность full legal ~ полная правоспособность gross ~ большая мощность gross ~ брутто-установленная мощность gross ~ полная генерирующая мощность электростанций haulage ~ транс. сила тяги have electoral ~ парл. иметь возможность быть избранным have electoral ~ парл. иметь шансы на избрание heat ~ физ. теплоемкость holding ~ емкость, вместимость hourly ~ произ. часовая производительность I've come in the ~ of a friend я пришел как друг idle ~ избыточная производственная мощность idle ~ неиспользуемая производственная мощность idle ~ резерв производственной мощности in the ~ of an engineer в качестве инженера;
in a civil capacity на гражданском положении in his ~ as legal adviser he must... он как юрисконсульт должен... ~ компетенция;
in (out of) my capacity в (вне) моей компетенции in the ~ of an engineer в качестве инженера;
in a civil capacity на гражданском положении inference ~ вчт. мощность логического вывода information ~ вчт. информационная емкость interest earning ~ возможность получать проценты judicial ~ судейская дееспособность ~ тех. мощность, производительность, нагрузка;
labour capacity производительность труда;
carrying capacity пропускная способность legal ~ дееспособность legal ~ право- и дееспособность legal ~ правоспособность legal: ~ capacity правоспособность, дееспособность lending ~ кредитоспособность load ~ грузоподъемность loading ~ грузоподъемность machine ~ производительность оборудования machine ~ производственная мощность оборудования magnetic drum ~ вчт. емкость магнитного барабана maximum ~ максимальная производственная мощность ~ емкость;
объем;
measure of capacity мера объема memory ~ вчт. емкость запоминающего устройства memory ~ вчт. емкость памяти ~ способность (for - к чему-л.) ;
особ. умственные способности;
a mind of great capacity глубокий ум net ~ чистая грузовместимость net ~ чистая грузоподъемность net ~ чистая мощность network ~ вчт. пропускная способность сети operating ~ действующая производственная мощность over ~ вчт. избыточная способность paying ~ платежеспособность personal ~ личная дееспособность plant ~ производственная мощность предприятия to play to ~ театр. делать полные сборы practical ~ фактическая производственная мощность processing ~ вчт. обрабатывающая способностиь processing ~ производительность обработки production ~ производственная мощность production ~ производственные возможности production ~ производственные мощности productive ~ производственная мощность productive ~ производственные возможности productive: ~ population часть населения, занятая производительным трудом;
productive capacity производительность, производственная мощность profit earning ~ возможность получения прибыли rated ~ номинальная мощность rated ~ расчетная производительность reduced working ~ пониженная трудоспособность reduced working ~ сниженная производительность reduced working ~ сниженная работоспособность register ~ вчт. разрядность регистра residual work ~ остаточная работоспособность resolving ~ вчт. разрешающая способность road ~ пропускная способность дороги screen ~ вчт. емкость экрана capacity вместимость;
to fill to capacity наполнять до отказа;
seating capacity количество сидячих мест seating ~ вместимость по числу мест для сидения seating ~ обеспеченность местами для сидения stand-by ~ резервная мощность storage ~ comp. емкость запоминающего устройства storage ~ вчт. емкость памяти storage ~ емкость склада storage ~ объем хранилища storage ~ площадь склада taxable ~ налогоспособность taxpaying ~ налогоспособность testamentary ~ завещательная дееспособность testamentary ~ завещательная право- и дееспособность testamentary ~ завещательная правоспособность thermal ~ теплоемкость unformatted ~ вчт. неформатная емкость user data ~ вчт. информационная емкость varying ~ переменная производительность word ~ вчт. длина слова word ~ вчт. емкость в словах work ~ работоспособность working ~ работосповобность working ~ рабочий объем zero error ~ вчт. пропускная способность (без наличия ошибок)

Большой англо-русский и русско-английский словарь > capacity
7 modular data center
1. модульный центр обработки данных (ЦОД)
модульный центр обработки данных (ЦОД)
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[Интент]

Параллельные тексты EN-RU

[ http://loosebolts.wordpress.com/2008/12/02/our-vision-for-generation-4-modular-data-centers-one-way-of-getting-it-just-right/]

[ http://dcnt.ru/?p=9299#more-9299]

Data Centers are a hot topic these days. No matter where you look, this once obscure aspect of infrastructure is getting a lot of attention. For years, there have been cost pressures on IT operations and this, when the need for modern capacity is greater than ever, has thrust data centers into the spotlight. Server and rack density continues to rise, placing DC professionals and businesses in tighter and tougher situations while they struggle to manage their IT environments. And now hyper-scale cloud infrastructure is taking traditional technologies to limits never explored before and focusing the imagination of the IT industry on new possibilities.

В настоящее время центры обработки данных являются широко обсуждаемой темой. Куда ни посмотришь, этот некогда малоизвестный аспект инфраструктуры привлекает все больше внимания. Годами ИТ-отделы испытывали нехватку средств и это выдвинуло ЦОДы в центр внимания, в то время, когда необходимость в современных ЦОДах стала как никогда высокой. Плотность серверов и стоек продолжают расти, все больше усложняя ситуацию для специалистов в области охлаждения и организаций в их попытках управлять своими ИТ-средами. И теперь гипермасштабируемая облачная инфраструктура подвергает традиционные технологии невиданным ранее нагрузкам, и заставляет ИТ-индустрию искать новые возможности.

At Microsoft, we have focused a lot of thought and research around how to best operate and maintain our global infrastructure and we want to share those learnings. While obviously there are some aspects that we keep to ourselves, we have shared how we operate facilities daily, our technologies and methodologies, and, most importantly, how we monitor and manage our facilities. Whether it’s speaking at industry events, inviting customers to our “Microsoft data center conferences” held in our data centers, or through other media like blogging and white papers, we believe sharing best practices is paramount and will drive the industry forward. So in that vein, we have some interesting news to share.

В компании MicroSoft уделяют большое внимание изучению наилучших методов эксплуатации и технического обслуживания своей глобальной инфраструктуры и делятся результатами своих исследований. И хотя мы, конечно, не раскрываем некоторые аспекты своих исследований, мы делимся повседневным опытом эксплуатации дата-центров, своими технологиями и методологиями и, что важнее всего, методами контроля и управления своими объектами. Будь то доклады на отраслевых событиях, приглашение клиентов на наши конференции, которые посвящены центрам обработки данных MicroSoft, и проводятся в этих самых дата-центрах, или использование других средств, например, блоги и спецификации, мы уверены, что обмен передовым опытом имеет первостепенное значение и будет продвигать отрасль вперед.

Today we are sharing our Generation 4 Modular Data Center plan. This is our vision and will be the foundation of our cloud data center infrastructure in the next five years. We believe it is one of the most revolutionary changes to happen to data centers in the last 30 years. Joining me, in writing this blog are Daniel Costello, my director of Data Center Research and Engineering and Christian Belady, principal power and cooling architect. I feel their voices will add significant value to driving understanding around the many benefits included in this new design paradigm.

Сейчас мы хотим поделиться своим планом модульного дата-центра четвертого поколения. Это наше видение и оно будет основанием для инфраструктуры наших облачных дата-центров в ближайшие пять лет. Мы считаем, что это одно из самых революционных изменений в дата-центрах за последние 30 лет. Вместе со мной в написании этого блога участвовали Дэниел Костелло, директор по исследованиям и инжинирингу дата-центров, и Кристиан Белади, главный архитектор систем энергоснабжения и охлаждения. Мне кажется, что их авторитет придаст больше веса большому количеству преимуществ, включенных в эту новую парадигму проектирования.

Our “Gen 4” modular data centers will take the flexibility of containerized servers—like those in our Chicago data center—and apply it across the entire facility. So what do we mean by modular? Think of it like “building blocks”, where the data center will be composed of modular units of prefabricated mechanical, electrical, security components, etc., in addition to containerized servers.

Was there a key driver for the Generation 4 Data Center?

Наши модульные дата-центры “Gen 4” будут гибкими с контейнерами серверов – как серверы в нашем чикагском дата-центре. И гибкость будет применяться ко всему ЦОД. Итак, что мы подразумеваем под модульностью? Мы думаем о ней как о “строительных блоках”, где дата-центр будет состоять из модульных блоков изготовленных в заводских условиях электрических систем и систем охлаждения, а также систем безопасности и т.п., в дополнение к контейнеризованным серверам.
Был ли ключевой стимул для разработки дата-центра четвертого поколения?

If we were to summarize the promise of our Gen 4 design into a single sentence it would be something like this: “A highly modular, scalable, efficient, just-in-time data center capacity program that can be delivered anywhere in the world very quickly and cheaply, while allowing for continued growth as required.” Sounds too good to be true, doesn’t it? Well, keep in mind that these concepts have been in initial development and prototyping for over a year and are based on cumulative knowledge of previous facility generations and the advances we have made since we began our investments in earnest on this new design.

Если бы нам нужно было обобщить достоинства нашего проекта Gen 4 в одном предложении, это выглядело бы следующим образом: “Центр обработки данных с высоким уровнем модульности, расширяемости, и энергетической эффективности, а также возможностью постоянного расширения, в случае необходимости, который можно очень быстро и дешево развертывать в любом месте мира”. Звучит слишком хорошо для того чтобы быть правдой, не так ли? Ну, не забывайте, что эти концепции находились в процессе начальной разработки и создания опытного образца в течение более одного года и основываются на опыте, накопленном в ходе развития предыдущих поколений ЦОД, а также успехах, сделанных нами со времени, когда мы начали вкладывать серьезные средства в этот новый проект.

One of the biggest challenges we’ve had at Microsoft is something Mike likes to call the ‘Goldilock’s Problem’. In a nutshell, the problem can be stated as:

The worst thing we can do in delivering facilities for the business is not have enough capacity online, thus limiting the growth of our products and services.

Одну из самых больших проблем, с которыми приходилось сталкиваться Майкрософт, Майк любит называть ‘Проблемой Лютика’. Вкратце, эту проблему можно выразить следующим образом:

Самое худшее, что может быть при строительстве ЦОД для бизнеса, это не располагать достаточными производственными мощностями, и тем самым ограничивать рост наших продуктов и сервисов.

The second worst thing we can do in delivering facilities for the business is to have too much capacity online.

А вторым самым худшим моментом в этой сфере может слишком большое количество производственных мощностей.

This has led to a focus on smart, intelligent growth for the business — refining our overall demand picture. It can’t be too hot. It can’t be too cold. It has to be ‘Just Right!’ The capital dollars of investment are too large to make without long term planning. As we struggled to master these interesting challenges, we had to ensure that our technological plan also included solutions for the business and operational challenges we faced as well.
So let’s take a high level look at our Generation 4 design

Это заставило нас сосредоточиваться на интеллектуальном росте для бизнеса — refining our overall demand picture. Это не должно быть слишком горячим. И это не должно быть слишком холодным. Это должно быть ‘как раз, таким как надо!’ Нельзя делать такие большие капиталовложения без долгосрочного планирования. Пока мы старались решить эти интересные проблемы, мы должны были гарантировать, что наш технологический план будет также включать решения для коммерческих и эксплуатационных проблем, с которыми нам также приходилось сталкиваться.
Давайте рассмотрим наш проект дата-центра четвертого поколения

Are you ready for some great visuals? Check out this video at Soapbox. Click here for the Microsoft 4th Gen Video.

It’s a concept video that came out of my Data Center Research and Engineering team, under Daniel Costello, that will give you a view into what we think is the future.

From a configuration, construct-ability and time to market perspective, our primary goals and objectives are to modularize the whole data center. Not just the server side (like the Chicago facility), but the mechanical and electrical space as well. This means using the same kind of parts in pre-manufactured modules, the ability to use containers, skids, or rack-based deployments and the ability to tailor the Redundancy and Reliability requirements to the application at a very specific level.

Посмотрите это видео, перейдите по ссылке для просмотра видео о Microsoft 4th Gen:

Это концептуальное видео, созданное командой отдела Data Center Research and Engineering, возглавляемого Дэниелом Костелло, которое даст вам наше представление о будущем.

С точки зрения конфигурации, строительной технологичности и времени вывода на рынок, нашими главными целями и задачами агрегатирование всего дата-центра. Не только серверную часть, как дата-центр в Чикаго, но также системы охлаждения и электрические системы. Это означает применение деталей одного типа в сборных модулях, возможность использования контейнеров, салазок, или стоечных систем, а также возможность подстраивать требования избыточности и надежности для данного приложения на очень специфичном уровне.

Our goals from a cost perspective were simple in concept but tough to deliver. First and foremost, we had to reduce the capital cost per critical Mega Watt by the class of use. Some applications can run with N-level redundancy in the infrastructure, others require a little more infrastructure for support. These different classes of infrastructure requirements meant that optimizing for all cost classes was paramount. At Microsoft, we are not a one trick pony and have many Online products and services (240+) that require different levels of operational support. We understand that and ensured that we addressed it in our design which will allow us to reduce capital costs by 20%-40% or greater depending upon class.

Нашими целями в области затрат были концептуально простыми, но трудно реализуемыми. В первую очередь мы должны были снизить капитальные затраты в пересчете на один мегаватт, в зависимости от класса резервирования. Некоторые приложения могут вполне работать на базе инфраструктуры с резервированием на уровне N, то есть без резервирования, а для работы других приложений требуется больше инфраструктуры. Эти разные классы требований инфраструктуры подразумевали, что оптимизация всех классов затрат имеет преобладающее значение. В Майкрософт мы не ограничиваемся одним решением и располагаем большим количеством интерактивных продуктов и сервисов (240+), которым требуются разные уровни эксплуатационной поддержки. Мы понимаем это, и учитываем это в своем проекте, который позволит нам сокращать капитальные затраты на 20%-40% или более в зависимости от класса.

For example, non-critical or geo redundant applications have low hardware reliability requirements on a location basis. As a result, Gen 4 can be configured to provide stripped down, low-cost infrastructure with little or no redundancy and/or temperature control. Let’s say an Online service team decides that due to the dramatically lower cost, they will simply use uncontrolled outside air with temperatures ranging 10-35 C and 20-80% RH. The reality is we are already spec-ing this for all of our servers today and working with server vendors to broaden that range even further as Gen 4 becomes a reality. For this class of infrastructure, we eliminate generators, chillers, UPSs, and possibly lower costs relative to traditional infrastructure.

Например, некритичные или гео-избыточные системы имеют низкие требования к аппаратной надежности на основе местоположения. В результате этого, Gen 4 можно конфигурировать для упрощенной, недорогой инфраструктуры с низким уровнем (или вообще без резервирования) резервирования и / или температурного контроля. Скажем, команда интерактивного сервиса решает, что, в связи с намного меньшими затратами, они будут просто использовать некондиционированный наружный воздух с температурой 10-35°C и влажностью 20-80% RH. В реальности мы уже сегодня предъявляем эти требования к своим серверам и работаем с поставщиками серверов над еще большим расширением диапазона температур, так как наш модуль и подход Gen 4 становится реальностью. Для подобного класса инфраструктуры мы удаляем генераторы, чиллеры, ИБП, и, возможно, будем предлагать более низкие затраты, по сравнению с традиционной инфраструктурой.

Applications that demand higher level of redundancy or temperature control will use configurations of Gen 4 to meet those needs, however, they will also cost more (but still less than traditional data centers). We see this cost difference driving engineering behavioral change in that we predict more applications will drive towards Geo redundancy to lower costs.

Системы, которым требуется более высокий уровень резервирования или температурного контроля, будут использовать конфигурации Gen 4, отвечающие этим требованиям, однако, они будут также стоить больше. Но все равно они будут стоить меньше, чем традиционные дата-центры. Мы предвидим, что эти различия в затратах будут вызывать изменения в методах инжиниринга, и по нашим прогнозам, это будет выражаться в переходе все большего числа систем на гео-избыточность и меньшие затраты.

Another cool thing about Gen 4 is that it allows us to deploy capacity when our demand dictates it. Once finalized, we will no longer need to make large upfront investments. Imagine driving capital costs more closely in-line with actual demand, thus greatly reducing time-to-market and adding the capacity Online inherent in the design. Also reduced is the amount of construction labor required to put these “building blocks” together. Since the entire platform requires pre-manufacture of its core components, on-site construction costs are lowered. This allows us to maximize our return on invested capital.

Еще одно достоинство Gen 4 состоит в том, что он позволяет нам разворачивать дополнительные мощности, когда нам это необходимо. Как только мы закончим проект, нам больше не нужно будет делать большие начальные капиталовложения. Представьте себе возможность более точного согласования капитальных затрат с реальными требованиями, и тем самым значительного снижения времени вывода на рынок и интерактивного добавления мощностей, предусматриваемого проектом. Также снижен объем строительных работ, требуемых для сборки этих “строительных блоков”. Поскольку вся платформа требует предварительного изготовления ее базовых компонентов, затраты на сборку также снижены. Это позволит нам увеличить до максимума окупаемость своих капиталовложений.
Мы все подвергаем сомнению

In our design process, we questioned everything. You may notice there is no roof and some might be uncomfortable with this. We explored the need of one and throughout our research we got some surprising (positive) results that showed one wasn’t needed.

В своем процессе проектирования мы все подвергаем сомнению. Вы, наверное, обратили внимание на отсутствие крыши, и некоторым специалистам это могло не понравиться. Мы изучили необходимость в крыше и в ходе своих исследований получили удивительные результаты, которые показали, что крыша не нужна.
Серийное производство дата центров

In short, we are striving to bring Henry Ford’s Model T factory to the data center. http://en.wikipedia.org/wiki/Henry_Ford#Model_T. Gen 4 will move data centers from a custom design and build model to a commoditized manufacturing approach. We intend to have our components built in factories and then assemble them in one location (the data center site) very quickly. Think about how a computer, car or plane is built today. Components are manufactured by different companies all over the world to a predefined spec and then integrated in one location based on demands and feature requirements. And just like Henry Ford’s assembly line drove the cost of building and the time-to-market down dramatically for the automobile industry, we expect Gen 4 to do the same for data centers. Everything will be pre-manufactured and assembled on the pad.

Мы хотим применить модель автомобильной фабрики Генри Форда к дата-центру. Проект Gen 4 будет способствовать переходу от модели специализированного проектирования и строительства к товарно-производственному, серийному подходу. Мы намерены изготавливать свои компоненты на заводах, а затем очень быстро собирать их в одном месте, в месте строительства дата-центра. Подумайте о том, как сегодня изготавливается компьютер, автомобиль или самолет. Компоненты изготавливаются по заранее определенным спецификациям разными компаниями во всем мире, затем собираются в одном месте на основе спроса и требуемых характеристик. И точно так же как сборочный конвейер Генри Форда привел к значительному уменьшению затрат на производство и времени вывода на рынок в автомобильной промышленности, мы надеемся, что Gen 4 сделает то же самое для дата-центров. Все будет предварительно изготавливаться и собираться на месте.
Невероятно энергоэффективный ЦОД

And did we mention that this platform will be, overall, incredibly energy efficient? From a total energy perspective not only will we have remarkable PUE values, but the total cost of energy going into the facility will be greatly reduced as well. How much energy goes into making concrete? Will we need as much of it? How much energy goes into the fuel of the construction vehicles? This will also be greatly reduced! A key driver is our goal to achieve an average PUE at or below 1.125 by 2012 across our data centers. More than that, we are on a mission to reduce the overall amount of copper and water used in these facilities. We believe these will be the next areas of industry attention when and if the energy problem is solved. So we are asking today…“how can we build a data center with less building”?

А мы упоминали, что эта платформа будет, в общем, невероятно энергоэффективной? С точки зрения общей энергии, мы получим не только поразительные значения PUE, но общая стоимость энергии, затраченной на объект будет также значительно снижена. Сколько энергии идет на производство бетона? Нам нужно будет столько энергии? Сколько энергии идет на питание инженерных строительных машин? Это тоже будет значительно снижено! Главным стимулом является достижение среднего PUE не больше 1.125 для всех наших дата-центров к 2012 году. Более того, у нас есть задача сокращения общего количества меди и воды в дата-центрах. Мы думаем, что эти задачи станут следующей заботой отрасли после того как будет решена энергетическая проблема. Итак, сегодня мы спрашиваем себя…“как можно построить дата-центр с меньшим объемом строительных работ”?
Строительство дата центров без чиллеров

We have talked openly and publicly about building chiller-less data centers and running our facilities using aggressive outside economization. Our sincerest hope is that Gen 4 will completely eliminate the use of water. Today’s data centers use massive amounts of water and we see water as the next scarce resource and have decided to take a proactive stance on making water conservation part of our plan.

Мы открыто и публично говорили о строительстве дата-центров без чиллеров и активном использовании в наших центрах обработки данных технологий свободного охлаждения или фрикулинга. Мы искренне надеемся, что Gen 4 позволит полностью отказаться от использования воды. Современные дата-центры расходуют большие объемы воды и так как мы считаем воду следующим редким ресурсом, мы решили принять упреждающие меры и включить экономию воды в свой план.

By sharing this with the industry, we believe everyone can benefit from our methodology. While this concept and approach may be intimidating (or downright frightening) to some in the industry, disclosure ultimately is better for all of us.

Делясь этим опытом с отраслью, мы считаем, что каждый сможет извлечь выгоду из нашей методологией. Хотя эта концепция и подход могут показаться пугающими (или откровенно страшными) для некоторых отраслевых специалистов, раскрывая свои планы мы, в конечном счете, делаем лучше для всех нас.

Gen 4 design (even more than just containers), could reduce the ‘religious’ debates in our industry. With the central spine infrastructure in place, containers or pre-manufactured server halls can be either AC or DC, air-side economized or water-side economized, or not economized at all (though the sanity of that might be questioned). Gen 4 will allow us to decommission, repair and upgrade quickly because everything is modular. No longer will we be governed by the initial decisions made when constructing the facility. We will have almost unlimited use and re-use of the facility and site. We will also be able to use power in an ultra-fluid fashion moving load from critical to non-critical as use and capacity requirements dictate.

Проект Gen 4 позволит уменьшить ‘религиозные’ споры в нашей отрасли. Располагая базовой инфраструктурой, контейнеры или сборные серверные могут оборудоваться системами переменного или постоянного тока, воздушными или водяными экономайзерами, или вообще не использовать экономайзеры. Хотя можно подвергать сомнению разумность такого решения. Gen 4 позволит нам быстро выполнять работы по выводу из эксплуатации, ремонту и модернизации, поскольку все будет модульным. Мы больше не будем руководствоваться начальными решениями, принятыми во время строительства дата-центра. Мы сможем использовать этот дата-центр и инфраструктуру в течение почти неограниченного периода времени. Мы также сможем применять сверхгибкие методы использования электрической энергии, переводя оборудование в режимы критической или некритической нагрузки в соответствии с требуемой мощностью.
Gen 4 – это стандартная платформа

Finally, we believe this is a big game changer. Gen 4 will provide a standard platform that our industry can innovate around. For example, all modules in our Gen 4 will have common interfaces clearly defined by our specs and any vendor that meets these specifications will be able to plug into our infrastructure. Whether you are a computer vendor, UPS vendor, generator vendor, etc., you will be able to plug and play into our infrastructure. This means we can also source anyone, anywhere on the globe to minimize costs and maximize performance. We want to help motivate the industry to further innovate—with innovations from which everyone can reap the benefits.

Наконец, мы уверены, что это будет фактором, который значительно изменит ситуацию. Gen 4 будет представлять собой стандартную платформу, которую отрасль сможет обновлять. Например, все модули в нашем Gen 4 будут иметь общепринятые интерфейсы, четко определяемые нашими спецификациями, и оборудование любого поставщика, которое отвечает этим спецификациям можно будет включать в нашу инфраструктуру. Независимо от того производите вы компьютеры, ИБП, генераторы и т.п., вы сможете включать свое оборудование нашу инфраструктуру. Это означает, что мы также сможем обеспечивать всех, в любом месте земного шара, тем самым сводя до минимума затраты и максимальной увеличивая производительность. Мы хотим создать в отрасли мотивацию для дальнейших инноваций – инноваций, от которых каждый сможет получать выгоду.
Главные характеристики дата-центров четвертого поколения Gen4

To summarize, the key characteristics of our Generation 4 data centers are:

Scalable
Plug-and-play spine infrastructure
Factory pre-assembled: Pre-Assembled Containers (PACs) & Pre-Manufactured Buildings (PMBs)
Rapid deployment
De-mountable
Reduce TTM
Reduced construction
Sustainable measures

Ниже приведены главные характеристики дата-центров четвертого поколения Gen 4:

Расширяемость;
Готовая к использованию базовая инфраструктура;
Изготовление в заводских условиях: сборные контейнеры (PAC) и сборные здания (PMB);
Быстрота развертывания;
Возможность демонтажа;
Снижение времени вывода на рынок (TTM);
Сокращение сроков строительства;
Экологичность;

Map applications to DC Class

We hope you join us on this incredible journey of change and innovation!

Long hours of research and engineering time are invested into this process. There are still some long days and nights ahead, but the vision is clear. Rest assured however, that we as refine Generation 4, the team will soon be looking to Generation 5 (even if it is a bit farther out). There is always room to get better.

Использование систем электропитания постоянного тока.

Мы надеемся, что вы присоединитесь к нам в этом невероятном путешествии по миру изменений и инноваций!

На этот проект уже потрачены долгие часы исследований и проектирования. И еще предстоит потратить много дней и ночей, но мы имеем четкое представление о конечной цели. Однако будьте уверены, что как только мы доведем до конца проект модульного дата-центра четвертого поколения, мы вскоре начнем думать о проекте дата-центра пятого поколения. Всегда есть возможность для улучшений.

So if you happen to come across Goldilocks in the forest, and you are curious as to why she is smiling you will know that she feels very good about getting very close to ‘JUST RIGHT’.

Generations of Evolution – some background on our data center designs

Так что, если вы встретите в лесу девочку по имени Лютик, и вам станет любопытно, почему она улыбается, вы будете знать, что она очень довольна тем, что очень близко подошла к ‘ОПИМАЛЬНОМУ РЕШЕНИЮ’.
Поколения эволюции – история развития наших дата-центров

We thought you might be interested in understanding what happened in the first three generations of our data center designs. When Ray Ozzie wrote his Software plus Services memo it posed a very interesting challenge to us. The winds of change were at ‘tornado’ proportions. That “plus Services” tag had some significant (and unstated) challenges inherent to it. The first was that Microsoft was going to evolve even further into an operations company. While we had been running large scale Internet services since 1995, this development lead us to an entirely new level. Additionally, these “services” would span across both Internet and Enterprise businesses. To those of you who have to operate “stuff”, you know that these are two very different worlds in operational models and challenges. It also meant that, to achieve the same level of reliability and performance required our infrastructure was going to have to scale globally and in a significant way.

Мы подумали, что может быть вам будет интересно узнать историю первых трех поколений наших центров обработки данных. Когда Рэй Оззи написал свою памятную записку Software plus Services, он поставил перед нами очень интересную задачу. Ветра перемен двигались с ураганной скоростью. Это окончание “plus Services” скрывало в себе какие-то значительные и неопределенные задачи. Первая заключалась в том, что Майкрософт собиралась в еще большей степени стать операционной компанией. Несмотря на то, что мы управляли большими интернет-сервисами, начиная с 1995 г., эта разработка подняла нас на абсолютно новый уровень. Кроме того, эти “сервисы” охватывали интернет-компании и корпорации. Тем, кому приходится всем этим управлять, известно, что есть два очень разных мира в области операционных моделей и задач. Это также означало, что для достижения такого же уровня надежности и производительности требовалось, чтобы наша инфраструктура располагала значительными возможностями расширения в глобальных масштабах.

It was that intense atmosphere of change that we first started re-evaluating data center technology and processes in general and our ideas began to reach farther than what was accepted by the industry at large. This was the era of Generation 1. As we look at where most of the world’s data centers are today (and where our facilities were), it represented all the known learning and design requirements that had been in place since IBM built the first purpose-built computer room. These facilities focused more around uptime, reliability and redundancy. Big infrastructure was held accountable to solve all potential environmental shortfalls. This is where the majority of infrastructure in the industry still is today.

Именно в этой атмосфере серьезных изменений мы впервые начали переоценку ЦОД-технологий и технологий вообще, и наши идеи начали выходить за пределы общепринятых в отрасли представлений. Это была эпоха ЦОД первого поколения. Когда мы узнали, где сегодня располагается большинство мировых дата-центров и где находятся наши предприятия, это представляло весь опыт и навыки проектирования, накопленные со времени, когда IBM построила первую серверную. В этих ЦОД больше внимания уделялось бесперебойной работе, надежности и резервированию. Большая инфраструктура была призвана решать все потенциальные экологические проблемы. Сегодня большая часть инфраструктуры все еще находится на этом этапе своего развития.

We soon realized that traditional data centers were quickly becoming outdated. They were not keeping up with the demands of what was happening technologically and environmentally. That’s when we kicked off our Generation 2 design. Gen 2 facilities started taking into account sustainability, energy efficiency, and really looking at the total cost of energy and operations.

Очень быстро мы поняли, что стандартные дата-центры очень быстро становятся устаревшими. Они не поспевали за темпами изменений технологических и экологических требований. Именно тогда мы стали разрабатывать ЦОД второго поколения. В этих дата-центрах Gen 2 стали принимать во внимание такие факторы как устойчивое развитие, энергетическая эффективность, а также общие энергетические и эксплуатационные.

No longer did we view data centers just for the upfront capital costs, but we took a hard look at the facility over the course of its life. Our Quincy, Washington and San Antonio, Texas facilities are examples of our Gen 2 data centers where we explored and implemented new ways to lessen the impact on the environment. These facilities are considered two leading industry examples, based on their energy efficiency and ability to run and operate at new levels of scale and performance by leveraging clean hydro power (Quincy) and recycled waste water (San Antonio) to cool the facility during peak cooling months.

Мы больше не рассматривали дата-центры только с точки зрения начальных капитальных затрат, а внимательно следили за работой ЦОД на протяжении его срока службы. Наши объекты в Куинси, Вашингтоне, и Сан-Антонио, Техас, являются образцами наших ЦОД второго поколения, в которых мы изучали и применяли на практике новые способы снижения воздействия на окружающую среду. Эти объекты считаются двумя ведущими отраслевыми примерами, исходя из их энергетической эффективности и способности работать на новых уровнях производительности, основанных на использовании чистой энергии воды (Куинси) и рециклирования отработанной воды (Сан-Антонио) для охлаждения объекта в самых жарких месяцах.

As we were delivering our Gen 2 facilities into steel and concrete, our Generation 3 facilities were rapidly driving the evolution of the program. The key concepts for our Gen 3 design are increased modularity and greater concentration around energy efficiency and scale. The Gen 3 facility will be best represented by the Chicago, Illinois facility currently under construction. This facility will seem very foreign compared to the traditional data center concepts most of the industry is comfortable with. In fact, if you ever sit around in our container hanger in Chicago it will look incredibly different from a traditional raised-floor data center. We anticipate this modularization will drive huge efficiencies in terms of cost and operations for our business. We will also introduce significant changes in the environmental systems used to run our facilities. These concepts and processes (where applicable) will help us gain even greater efficiencies in our existing footprint, allowing us to further maximize infrastructure investments.

Так как наши ЦОД второго поколения строились из стали и бетона, наши центры обработки данных третьего поколения начали их быстро вытеснять. Главными концептуальными особенностями ЦОД третьего поколения Gen 3 являются повышенная модульность и большее внимание к энергетической эффективности и масштабированию. Дата-центры третьего поколения лучше всего представлены объектом, который в настоящее время строится в Чикаго, Иллинойс. Этот ЦОД будет выглядеть очень необычно, по сравнению с общепринятыми в отрасли представлениями о дата-центре. Действительно, если вам когда-либо удастся побывать в нашем контейнерном ангаре в Чикаго, он покажется вам совершенно непохожим на обычный дата-центр с фальшполом. Мы предполагаем, что этот модульный подход будет способствовать значительному повышению эффективности нашего бизнеса в отношении затрат и операций. Мы также внесем существенные изменения в климатические системы, используемые в наших ЦОД. Эти концепции и технологии, если применимо, позволят нам добиться еще большей эффективности наших существующих дата-центров, и тем самым еще больше увеличивать капиталовложения в инфраструктуру.

This is definitely a journey, not a destination industry. In fact, our Generation 4 design has been under heavy engineering for viability and cost for over a year. While the demand of our commercial growth required us to make investments as we grew, we treated each step in the learning as a process for further innovation in data centers. The design for our future Gen 4 facilities enabled us to make visionary advances that addressed the challenges of building, running, and operating facilities all in one concerted effort.

Это определенно путешествие, а не конечный пункт назначения. На самом деле, наш проект ЦОД четвертого поколения подвергался серьезным испытаниям на жизнеспособность и затраты на протяжении целого года. Хотя необходимость в коммерческом росте требовала от нас постоянных капиталовложений, мы рассматривали каждый этап своего развития как шаг к будущим инновациям в области дата-центров. Проект наших будущих ЦОД четвертого поколения Gen 4 позволил нам делать фантастические предположения, которые касались задач строительства, управления и эксплуатации объектов как единого упорядоченного процесса.

Тематики
- ЦОДы (центры обработки данных)
Синонимы
- модульный ЦОД
EN
- modular data center
Англо-русский словарь нормативно-технической терминологии > modular data center
8 seat

1. noun
1) (thing for sitting on) Sitzgelegenheit, die; (in vehicle, cinema, etc.) Sitz, der; (of toilet) [Klosett]brille, die (ugs.)

2) (place) Platz, der; (in vehicle) [Sitz]platz, der

have or take a seat — sich [hin]setzen; Platz nehmen (geh.)

take one's seat at table — sich zu Tisch setzen

3) (part of chair) Sitzfläche, die

4) (buttocks) Gesäß, das; (of trousers) Sitz, der; Hosenboden, der

by the seat of one's pants — (coll. fig.) nach Gefühl

5) (site) Sitz, der; (of disease also) Herd, der (Med.); (of learning) Stätte, die (geh.); (of trouble) Quelle, die

seat of the fire — Brandherd, der

6) (right to sit in Parliament etc.) Sitz, der; Mandat, das

be elected to a seat in Parliament — ins Parlament gewählt werden
2. transitive verb
1) (cause to sit) setzen; (accommodate at table etc.) unterbringen; (ask to sit) [Platzanweiser:] einen Platz anweisen (+ Dat.)

seat oneself — sich setzen

2) (have seats for) Sitzplätze bieten (+ Dat.)

seat 500 people — 500 Sitzplätze haben

the car seats five comfortably — in dem Auto haben fünf Personen bequem Platz

* * *
[si:t] 1. noun
1) (something for sitting on: Are there enough seats for everyone?) der Sitz

2) (the part of a chair etc on which the body sits: This chair-seat is broken.) der Sitz

3) ((the part of a garment covering) the buttocks: I've got a sore seat after all that horse riding; a hole in the seat of his trousers.) der Hosenboden

4) (a place in which a person has a right to sit: two seats for the play; a seat in Parliament; a seat on the board of the company.) der Sitz

5) (a place that is the centre of some activity etc: Universities are seats of learning.) der Platz
2. verb
1) (to cause to sit down: I seated him in the armchair.) setzen

2) (to have seats for: Our table seats eight.) Sitzplätze haben

•

- academic.ru/65229/-seater">-seater
- seating
- seat belt
- take a seat
* * *

seat

[si:t]

I. n

1. (sitting place) [Sitz]platz m; (in a car) Sitz m; (in a bus, plane, train) Sitzplatz m; (in a theatre) Platz m

is this \seat free/taken? ist dieser Platz frei/besetzt?

back \seat Rücksitz m

garden \seat [Garten]bank f

to book [or reserve] a \seat (for concert, film, play) eine Karte reservieren lassen; (on bus, train) einen Platz reservieren lassen

to keep [or AM save] a \seat for sb jdm einen Platz freihalten

to take [or have] a seat sich akk [hin]setzen, Platz nehmen geh

please take your \seat bitte nehmen Sie Platz

bums on \seats BRIT, AUS ( fam)

fannies in the \seats AM ( fam) zahlendes Publikum

2. usu sing (part to sit on) of a chair Sitz m; of trousers, pants Hosenboden m

3. ( form: buttocks) Gesäß nt, Hinterteil nt, Hintern m fam

4. POL Sitz m

he was elected to a \seat on the local council er wurde in den Stadtrat gewählt

a \seat in Congress/Parliament/the Senate ein Sitz m im Kongress/Parlament/Senat

marginal/safe \seat knappes/sicheres Mandat

to lose/win a \seat einen Sitz verlieren/gewinnen

to take one's \seat BRIT seinen Sitz [im Parlament] einnehmen

5. STOCKEX Börsenmitgliedschaft f

6. (location) Sitz m; of an event Schauplatz m; (centre) of a company Sitz m

\seat of government Regierungssitz m

\seat of learning ( form) Stätte f der Gelehrsamkeit geh

7. BRIT (aristocrat's country residence) [Wohn]sitz m

country \seat Landsitz m

royal \seat Residenz f

8. (style of riding horse) Sitz m

to have a good \seat eine gute [Reit]haltung haben

9. TECH Ventilsitz m

10.

▶ by the \seat of one's pants aus dem Gefühl [o fam Bauch] heraus

II. vt

1. (provide seats)

▪ to \seat sb jdn setzen [o SCHWEIZ platzieren], jdm einen Platz anweisen form

▪ to \seat oneself ( form) sich akk setzen

2. (seating capacity)

to \seat 2500 room, stadium, theatre 2500 Menschen fassen

his car \seats five in seinem Auto haben fünf Leute Platz

3. TECH (fix in base)

▪ to \seat sth etw einpassen

* * *
[siːt]
1. n

1) (= place to sit) (Sitz)platz m; (= actual piece of furniture) Sitz m; (usu pl = seating) Sitzgelegenheit f

to have a front seat at the opera — in der Oper in den vorderen Reihen sitzen

an aircraft with 250 seats — ein Flugzeug mit 250 Plätzen or Sitzen

we'll have to borrow some seats — wir werden uns wohl ein paar Stühle borgen müssen

we haven't enough seats —

to lose one's seat — seinen Platz verlieren or loswerden (inf)

will you keep my seat for me? — würden Sie mir meinen Platz frei halten?

I've booked two seats — ich habe zwei Plätze reservieren lassen

See:

→ take

2) (of chair etc) Sitz m, Sitzfläche f; (of trousers) Hosenboden m; (= buttocks) Hinterteil nt

he picked him up by the seat of his pants — er packte ihn beim Hosenboden

to fly by the seat of one's pants ( Aviat sl ) — mit dem Hintern fliegen (inf); (fig) immer seinem Riecher folgen

it's a seat-of-the-pants operation (inf) — es kommt dabei auf den richtigen Riecher an (inf)

3) (on committee, board of company) Sitz m

a seat in Parliament — ein Sitz m im Parlament, ein Mandat nt

to win a seat — ein Mandat gewinnen

his seat is in Devon — sein Wahlkreis m ist in Devon

4) (= centre of government, commerce etc) Sitz m; (of fire, trouble) Herd m

seat of emotions — Sitz der Gefühle

seat of learning — Lehrstätte f

5) (= country seat, bishop's seat etc) Sitz m

6) (of rider) Sitz m

to keep one's seat — im Sattel bleiben

to lose one's seat — aus dem Sattel fallen

2. vt

1) person etc setzen

to seat oneself — sich setzen

to be seated — sitzen

please be seated — bitte, setzen Sie sich

to remain seated — sitzen bleiben

2)

(= have sitting room for) the car/table/sofa seats 4 — im Auto/am Tisch/auf dem Sofa ist Platz für 4 Personen

the hall seats 900 — die Halle hat 900 Sitzplätze

3) (TECH: fix in place) einpassen

3. vi
(skirt etc = go baggy) ausbeulen, sich durchsitzen
* * *

seat [siːt]

A s

1. Sitz(gelegenheit) m(f), Sitzplatz m

2. Bank f, Stuhl m, Sessel m

3. (Stuhl-, Klosett- etc) Sitz m

4. (Sitz)Platz m:

take a seat Platz nehmen, sich setzen;

take one’s seat seinen Platz einnehmen;

take your seats, please bitte Platz nehmen!;

is this seat taken ( oder vacant)? ist der Platz (noch) frei?

5. Platz m, Sitz m (im Theater etc):

a 700-seat theater (bes Br theatre) ein Theater mit 700 Sitzplätzen

6. (Thron-, Bischofs-, Präsidenten- etc) Sitz m (fig auch das Amt):

crown and seat of France Krone und Thron von Frankreich

7. Gesäß n, Sitzfläche f

8. Hosenboden m

9. Reitsport etc: guter etc Sitz (Haltung)

10. TECH Auflage(fläche) f, Auflager n

11. (Amts-, Regierungs-, WIRTSCH Geschäfts)Sitz m

12. fig Sitz m (Mitgliedschaft), POL auch Mandat n:

he lost his seat in Parliament;

have seat and vote Sitz und Stimme haben

13. Wohn-, Familien-, Landsitz m

14. fig Sitz m, Stätte f, Ort m, (Schau)Platz m:

a seat of learning eine Stätte der Gelehrsamkeit;

seat of war Kriegsschauplatz

15. MED Sitz m, (Krankheits, auch Erdbeben) Herd m (auch fig)

B v/t

1. jemanden (hin)setzen, jemandem einen Sitz oder Platz anweisen:

seat o.s. sich setzen oder niederlassen;

be seated sitzen;

the man seated next to me der Mann, der neben mir saß; mein Nebenmann;

please be seated nehmen Sie bitte Platz!;

remain seated sitzen bleiben, Platz behalten

2. Sitzplätze bieten für, Platz bieten (dat):

the hall seats 500 der Saal hat 500 Sitzplätze

3. mit Sitzplätzen ausstatten, bestuhlen

4. einen Stuhl mit einem (neuen) Sitz versehen

5. einen (neuen) Hosenboden einsetzen in (akk)

6. TECH

a) auflegen, lagern ( beide:

on auf dat)

b) einpassen:

seat a valve ein Ventil einschleifen

7. a) jemanden auf den Thron erheben

b) jemandem einen Sitz (besonders im Parlament) verschaffen

* * *
1. noun
1) (thing for sitting on) Sitzgelegenheit, die; (in vehicle, cinema, etc.) Sitz, der; (of toilet) [Klosett]brille, die (ugs.)

2) (place) Platz, der; (in vehicle) [Sitz]platz, der

have or take a seat — sich [hin]setzen; Platz nehmen (geh.)

take one's seat at table — sich zu Tisch setzen

3) (part of chair) Sitzfläche, die

4) (buttocks) Gesäß, das; (of trousers) Sitz, der; Hosenboden, der

by the seat of one's pants — (coll. fig.) nach Gefühl

5) (site) Sitz, der; (of disease also) Herd, der (Med.); (of learning) Stätte, die (geh.); (of trouble) Quelle, die

seat of the fire — Brandherd, der

6) (right to sit in Parliament etc.) Sitz, der; Mandat, das

be elected to a seat in Parliament — ins Parlament gewählt werden
2. transitive verb
1) (cause to sit) setzen; (accommodate at table etc.) unterbringen; (ask to sit) [Platzanweiser:] einen Platz anweisen (+ Dat.)

seat oneself — sich setzen

2) (have seats for) Sitzplätze bieten (+ Dat.)

seat 500 people — 500 Sitzplätze haben

the car seats five comfortably — in dem Auto haben fünf Personen bequem Platz

* * *

n.

Platz ¨-e m.

Sitz -e m.

Sitzplatz m.

English-german dictionary > seat
9 Artificial Intelligence

   1) Programs and the Complexity of Human Mental Processes

   In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)

   2) Artificial Intelligence Is an Engineering Discipline

   Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)

   3) A Sceptical View of Artificial Intelligence

   Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inﬂated predictions....

   When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)

   4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, Eventually

   Just as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)

   5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the Program

   Many problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)

   6) The Meaning of a Symbolic Description

   What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)

   7) The Principle of Artificial Intelligence

   [AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)

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

   The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)

   9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract Form

   The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)

    10) There Are Many Types of Reasoning

   There are many different kinds of reasoning one might imagine:

    Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins ﬂy? the system might reason that "robins are like sparrows, and I know that sparrows can ﬂy, so robins probably can ﬂy."

    Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)

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

   Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)

    12) The Synthesis of Man and Machine

   Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)

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

   The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)

    14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory Formation

   It is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)

    15) Four Kinds of Artificial Intelligence

   We might distinguish among four kinds of AI.

   ♦ Nonpsychological AI

   Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.

   ♦ Weak Psychological AI

   Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.

   ♦ Strong Psychological AI

... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)

   ♦ Suprapsychological AI

   Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)

    16) Determination of Relevance of Rules in Particular Contexts

   Even if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)

    17) Form and Content Are Not Fundamentally Different

   Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)

    18) The Assumption That the Mind Is a Formal System

   Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)

    19) A Statement of the Primary and Secondary Purposes of Artificial Intelligence

   The primary goal of Artificial Intelligence is to make machines smarter.

   The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)

    20) Mathematical Logic Provides the Basis for Theory in AI

   The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....

   AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)

    21) Perceptual Structures Can Be Represented as Lists of Elementary Propositions

   In artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)

    22) Definitions of Artificial Intelligence

   Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)

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

   Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)

    24) Computers Will Not Always Be Inferior to Human Brains

   The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)

Historical dictionary of quotations in cognitive science > Artificial Intelligence
10 cram

kræm
1. сущ.
1) еда а) жирная пища, пища, которая толстит, "наполнитель" б) еда для откорма птиц, скота на убой Syn: dough, paste
2) давка, толкотня, толпа A garden made and provided for such crams. ≈ Парк специально сделанный и отведенный для таких толп. Syn: throng, jam, crowd, crush, squeeze
3) а) нахватанные, бессистемные знания Modern education is all cram. ≈ Современное образование порождает лишь кашу в голове. б) зубрежка If capacity for taking in cram would do it, he would be all right. ≈ Если бы сдача экзамена зависела от количества вызубренного, он бы его сдал.
4) разг. ложь, обман, "обвод вокруг пальца", "лапша" (которую вешают на уши) Master believes all the crams we tell. ≈ Хозяин верит любой чуши, которую мы ему рассказываем.
2. гл.
1) а) впихивать, втискивать( into) Seven people crammed into the small car. ≈ В машину набилось целых семь человек. I shall have to cram all my clothes into this small case. ≈ Мне надо будет упихать всю мою одежду в этот маленький чемоданчик. б) переполнять;
наполнять доверху, полный объем The room was crammed with people wanting to buy the furniture. ≈ Торговый зал ломился от желающих купить мебель. Every avenue leading to the fair was crammed. ≈ Все улицы, ведущие к ярмарке, были запружены народом.
2) о еде а) откармливать на убой (особенно домашнюю птицу) ;
перекармливать Syn: overfeed, stuff б) наедаться (также досыта), объедаться, обжираться The little garden where I was crammed with gooseberries. ≈ Маленький садик, где я просто объелся крыжовником.
3) о знаниях а) готовиться к экзамену, зубрить( с отрицательными коннотациями) Although there are no lessons this week, the students are all cramming for next week's tests. ≈ На этой неделе занятий нет, но все студенты все равно здесь, знай себе зубрят, готовятся к экзаменам, которые будут на следующей. б) пичкать, напихивать чрезмерным количеством (фактов, знаний, комплиментов и т.п.) A boy of fourteen with as much learning as two excellent schoolmasters could cram him with. ≈ Четырнадцатилетний мальчик, напичканный знаниями двух прекрасных учителей.
4) разг. лгать, вешать лапшу на уши, втирать очки, "скармливать" кому-л. ерунду Poor Caledonian youth! I have been cramming him with the most dreadful lies. ≈ Бедный каледонский юноша! Я кормил его чудовищнейшей ложью( Теккерей) ! Syn: stuff up
5) сл. пришпоривать лошадь, заставлять лошадь сделать что-л. (с усилием или грубо) He crammed his steed manfully at the palings, and got over. ≈ Перед палисадником он мощно пришпорил лошадь и она взяла забор.
6) сл. диал. вламываться, врываться( куда-л.) (разговорное) толкотня, давка (разговорное) нахватанные знания;
зубрежка (разговорное) репетитор, натаскивающий к экзамену ( разговорное) краткострочные курсы для подготовки к сдаче экзаменов (разговорное) краткий справочник (сленг) ложь, обман - to tell a * соврать (диалектизм) пища для откорма животных и птиц наполнять, переполнять, набивать битком - to * food into one's mouth, to * up one's mouth with food набить полный рот еды - the hall is *med зал набит до отказа - a book *med with quotations книга, полная цитат - they *med our ears with news они засыпали нас новостями (into) впихивать, втискивать - to * clothes into a trunk впихнуть одежду в сундук - to * people into a railway carriage набивать людей в железнодорожный вагон накормить досыта;
перекормить;
пичкать;
наедаться;
жадно есть - to * down one's lunch заглотать завтрак откармливать( разговорное) натаскивать( к экзамену) - to * a pupil for an examination натаскивать ученика к экзамену наспех зазубривать - to * history вызубрить историю (сленг) лгать - you are * ming вы врете, вы завираетесь > to * smth. down smb.'s throat навязывать кому-л. (свое мнение и т. п.) cram вбивать в голову;
втолковывать;
натаскивать к экзамену ~ впихивать, втискивать (into) ~ давка, толкотня ~ зубрежка ~ разг. лгать ~ наедаться ~ наспех зазубривать (часто cram up) ~ нахватанные знания ~ разг. обман, мистификация ~ переполнять;
the theatre was crammed театр был набит битком ~ пичкать, откармливать ~ переполнять;
the theatre was crammed театр был набит битком

Большой англо-русский и русско-английский словарь > cram
11 cram

[kræm] 1. сущ.
1) разг. давка, толкотня, толпа

The first day there was a cram, the second day only the claque remained. — В первый день яблоку было негде упасть, а на второй день пришли одни клакёры.

Syn:

throng 1., jam I 1., crowd 1., crush 1., squeeze 1.

2) бессистемные знания, полученные в спешке

Modern education is all cram. — Современное образование порождает лишь кашу в голове.

3) разг. зубрёжка

If capacity for taking in cram would do it, he would be all right. — Если бы сдача экзамена зависела от количества вызубренного, он бы его сдал.

4) разг. враньё, россказни

Master believes all the crams we tell. — Хозяин верит любой чуши, которую мы ему рассказываем.

5) уст.; диал. пища для откорма домашней птицы
2. гл.
1) ( cram into) впихивать, втискивать

Seven people crammed into the small car. — В эту маленькую машину набилось целых семь человек.

I shall have to cram all my clothes into this small case. — Мне надо будет впихнуть всю мою одежду в этот маленький чемоданчик.

2) переполнять; наполнять доверху, полностью

The room was crammed with people wanting to buy the furniture. — Торговый зал ломился от желающих купить мебель.

Every avenue leading to the fair was crammed. — Все улицы, ведущие к ярмарке, были запружены народом.

3) = cram down

а) откармливать на убой ( особенно домашнюю птицу); перекармливать

Syn:

overfeed, stuff 2.

б) наедаться (досыта), объедаться, обжираться

It was the same little garden where I was crammed with gooseberries. — Это был тот самый маленький садик, где я объелся крыжовником.

I managed to cram down a few mouthfuls of food. — Я попытался проглотить немного еды.

4) спешно готовиться к экзамену, зубрить

Although there are no lessons this week, the students are all cramming for next week's tests. — Хотя в эти дни занятий нет, студенты усиленно зубрят, готовятся к контрольным, которые будут на следующей неделе.

5) пичкать, впихивать в огромном количестве (информацию, знания)

A boy of fourteen with as much learning as two excellent schoolmasters could cram him with. (W. Scott, Tales of a Grandfather, 1828) — Четырнадцатилетний парень, и с такими познаниями, которые только могли в него впихнуть два превосходных учителя.

6) разг. врать с три короба, вешать лапшу на уши, втирать очки

Poor Caledonian youth! I have been cramming him with the most dreadful lies. (W. M. Thackeray, 1844) — Бедный шотландский юноша! Я пичкал его чудовищным враньём!

Syn:

stuff up

7) разг.; уст. пришпоривать лошадь (резко, с силой)

8) уст.; диал. вламываться, врываться (куда-л.)

Англо-русский современный словарь > cram
12 Language

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

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

   2) Arranging Speech so as to Reply Appropriately

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

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

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

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

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

   5) Language Powerfully Conditions All Our Thinking

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

   6) A List of Language Games

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

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

   Solving a problem in practical arithmeticTranslating from one language into another

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

   7) Language Constrains Certain Modes of Interpretation

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

   8) We Dissect Nature in Accordance with Our Native Languages

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

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

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

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

    10) The Analysis of Certain Types of Utterances

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

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

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

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

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

    13) The Development of Language

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

    14) Sentential and Conceptual Levels in Language

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

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

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

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

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

    16) The Final Steps to Human Language

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

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

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

    18) When a Language Is an Abstract Machine

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

    19) Metaphor and Metonymy Underpin the Formation of Linguistic Signs

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

    20) Language and the Analysis of Nature

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

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

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

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

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

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

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

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

    24) The Genetic Blueprints of Language

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

    25) Languages Are Machines

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

Historical dictionary of quotations in cognitive science > Language
13 Knowledge

   1) To Exist Is to Be Perceived

   It is indeed an opinion strangely prevailing amongst men, that houses, mountains, rivers, and, in a word, all sensible objects, have an existence, natural or real, distinct from their being perceived by the understanding. But, with how great an assurance and acquiescence soever this principle may be entertained in the world, yet whoever shall find in his heart to call it into question may, if I mistake not, perceive it to involve a manifest contradiction. For, what are the forementioned objects but things we perceive by sense? and what do we perceive besides our own ideas or sensations? and is it not plainly repugnant that any one of these, or any combination of them, should exist unperceived? (Berkeley, 1996, Pt. I, No. 4, p. 25)

   2) Abstract Science or Demonstration Is a More Perfect Species of Knowledge

   It seems to me that the only objects of the abstract sciences or of demonstration are quantity and number, and that all attempts to extend this more perfect species of knowledge beyond these bounds are mere sophistry and illusion. As the component parts of quantity and number are entirely similar, their relations become intricate and involved; and nothing can be more curious, as well as useful, than to trace, by a variety of mediums, their equality or inequality, through their different appearances.

   But as all other ideas are clearly distinct and different from each other, we can never advance farther, by our utmost scrutiny, than to observe this diversity, and, by an obvious reﬂection, pronounce one thing not to be another. Or if there be any difficulty in these decisions, it proceeds entirely from the undeterminate meaning of words, which is corrected by juster definitions. That the square of the hypotenuse is equal to the squares of the other two sides cannot be known, let the terms be ever so exactly defined, without a train of reasoning and enquiry. But to convince us of this proposition, that where there is no property, there can be no injustice, it is only necessary to define the terms, and explain injustice to be a violation of property. This proposition is, indeed, nothing but a more imperfect definition. It is the same case with all those pretended syllogistical reasonings, which may be found in every other branch of learning, except the sciences of quantity and number; and these may safely, I think, be pronounced the only proper objects of knowledge and demonstration. (Hume, 1975, Sec. 12, Pt. 3, pp. 163-165)

   3) Knowledge Derives from Two Fundamental Sources of the Mind

   Our knowledge springs from two fundamental sources of the mind; the first is the capacity of receiving representations (the ability to receive impressions), the second is the power to know an object through these representations (spontaneity in the production of concepts).

   Through the first, an object is given to us; through the second, the object is thought in relation to that representation.... Intuition and concepts constitute, therefore, the elements of all our knowledge, so that neither concepts without intuition in some way corresponding to them, nor intuition without concepts, can yield knowledge. Both may be either pure or empirical.... Pure intuitions or pure concepts are possible only a priori; empirical intuitions and empirical concepts only a posteriori. If the receptivity of our mind, its power of receiving representations in so far as it is in any way affected, is to be called "sensibility," then the mind's power of producing representations from itself, the spontaneity of knowledge, should be called "understanding." Our nature is so constituted that our intuitions can never be other than sensible; that is, it contains only the mode in which we are affected by objects. The faculty, on the other hand, which enables us to think the object of sensible intuition is the understanding.... Without sensibility, no object would be given to us; without understanding, no object would be thought. Thoughts without content are empty; intuitions without concepts are blind. It is therefore just as necessary to make our concepts sensible, that is, to add the object to them in intuition, as to make our intuitions intelligible, that is to bring them under concepts. These two powers or capacities cannot exchange their functions. The understanding can intuit nothing, the senses can think nothing. Only through their union can knowledge arise. (Kant, 1933, Sec. 1, Pt. 2, B74-75 [p. 92])

   4) The Means by Which Metaphysics Can Be Perfected as a Science

   Metaphysics, as a natural disposition of Reason is real, but it is also, in itself, dialectical and deceptive.... Hence to attempt to draw our principles from it, and in their employment to follow this natural but none the less fallacious illusion can never produce science, but only an empty dialectical art, in which one school may indeed outdo the other, but none can ever attain a justifiable and lasting success. In order that, as a science, it may lay claim not merely to deceptive persuasion, but to insight and conviction, a Critique of Reason must exhibit in a complete system the whole stock of conceptions a priori, arranged according to their different sources-the Sensibility, the understanding, and the Reason; it must present a complete table of these conceptions, together with their analysis and all that can be deduced from them, but more especially the possibility of synthetic knowledge a priori by means of their deduction, the principles of its use, and finally, its boundaries....

   This much is certain: he who has once tried criticism will be sickened for ever of all the dogmatic trash he was compelled to content himself with before, because his Reason, requiring something, could find nothing better for its occupation. Criticism stands to the ordinary school metaphysics exactly in the same relation as chemistry to alchemy, or as astron omy to fortune-telling astrology. I guarantee that no one who has comprehended and thought out the conclusions of criticism, even in these Prolegomena, will ever return to the old sophistical pseudo-science. He will rather look forward with a kind of pleasure to a metaphysics, certainly now within his power, which requires no more preparatory discoveries, and which alone can procure for reason permanent satisfaction. (Kant, 1891, pp. 115-116)

   5) Knowledge Is Only Real in the Form of System

   Knowledge is only real and can only be set forth fully in the form of science, in the form of system. Further, a so-called fundamental proposition or first principle of philosophy, even if it is true, it is yet none the less false, just because and in so far as it is merely a fundamental proposition, merely a first principle. It is for that reason easily refuted. The refutation consists in bringing out its defective character; and it is defective because it is merely the universal, merely a principle, the beginning. If the refutation is complete and thorough, it is derived and developed from the nature of the principle itself, and not accomplished by bringing in from elsewhere other counter-assurances and chance fancies. It would be strictly the development of the principle, and thus the completion of its deficiency, were it not that it misunderstands its own purport by taking account solely of the negative aspect of what it seeks to do, and is not conscious of the positive character of its process and result. The really positive working out of the beginning is at the same time just as much the very reverse: it is a negative attitude towards the principle we start from. Negative, that is to say, in its one-sided form, which consists in being primarily immediate, a mere purpose. It may therefore be regarded as a refutation of what constitutes the basis of the system; but more correctly it should be looked at as a demonstration that the basis or principle of the system is in point of fact merely its beginning. (Hegel, 1910, pp. 21-22)

   6) Knowledge, Action, and Evaluation Are Interconnected

   Knowledge, action, and evaluation are essentially connected. The primary and pervasive significance of knowledge lies in its guidance of action: knowing is for the sake of doing. And action, obviously, is rooted in evaluation. For a being which did not assign comparative values, deliberate action would be pointless; and for one which did not know, it would be impossible. Conversely, only an active being could have knowledge, and only such a being could assign values to anything beyond his own feelings. A creature which did not enter into the process of reality to alter in some part the future content of it, could apprehend a world only in the sense of intuitive or esthetic contemplation; and such contemplation would not possess the significance of knowledge but only that of enjoying and suffering. (Lewis, 1946, p. 1)

   7) The Evolution of Knowledge

   "Evolutionary epistemology" is a branch of scholarship that applies the evolutionary perspective to an understanding of how knowledge develops. Knowledge always involves getting information. The most primitive way of acquiring it is through the sense of touch: amoebas and other simple organisms know what happens around them only if they can feel it with their "skins." The knowledge such an organism can have is strictly about what is in its immediate vicinity. After a huge jump in evolution, organisms learned to find out what was going on at a distance from them, without having to actually feel the environment. This jump involved the development of sense organs for processing information that was farther away. For a long time, the most important sources of knowledge were the nose, the eyes, and the ears. The next big advance occurred when organisms developed memory. Now information no longer needed to be present at all, and the animal could recall events and outcomes that happened in the past. Each one of these steps in the evolution of knowledge added important survival advantages to the species that was equipped to use it.

   Then, with the appearance in evolution of humans, an entirely new way of acquiring information developed. Up to this point, the processing of information was entirely intrasomatic.... But when speech appeared (and even more powerfully with the invention of writing), information processing became extrasomatic. After that point knowledge did not have to be stored in the genes, or in the memory traces of the brain; it could be passed on from one person to another through words, or it could be written down and stored on a permanent substance like stone, paper, or silicon chips-in any case, outside the fragile and impermanent nervous system. (Csikszentmihalyi, 1993, pp. 56-57)

Historical dictionary of quotations in cognitive science > Knowledge
14 facility

fə'siləti
1. noun
1) (ease or quickness: She showed great facility in learning languages.) facilidad

2) (a skill: He has a great facility for always being right.) facilidad

2. noun plural
(facilities the means to do something: There are facilities for cooking.)

facility

tr[fə'sɪlɪtɪ]

noun (pl facilities)

1 facilidad nombre femenino

plural noun facilities

1 (equipment) instalaciones nombre femenino plural, servicios nombre masculino plural

2 (means) facilidades nombre femenino plural

facility [fə'sɪlət̬i] n, pl - ties

1) ease: facilidad f

2) center, complex: centro m, complejo m

3) facilities npl

amenities: comodidades fpl, servicios mpl

facility

n.

• facilidad s.f.

fə'sɪləti
noun (pl - ties)

1) facilities pl

a) ( amenities)

sports facilities — instalaciones fpl deportivas

facilities for the disabled — instalaciones fpl para minusválidos

the hotel has conference facilities — el hotel dispone de sala(s) de conferencia

b) ( Fin)

credit facilities — crédito m, facilidades fpl de pago

2) ( building) (AmE) complejo m, centro m

3) u ( ability) (frml) facilidad f

[fǝ'sɪlɪtɪ]
N
1) (=equipment, place) instalación f

the hotel's facilities are open to non-residents — las instalaciones del hotel están abiertas a los no residentes

the flat has no cooking facilities — el piso no está equipado para cocinar

recreational facilities — instalaciones fpl recreativas

sports facilities — instalaciones fpl deportivas

2) (=service, provision) servicio m

the main facility is the library — el servicio principal es la biblioteca

the company offers day-care facilities for children — la empresa ofrece un servicio de guardería para los niños

toilet facilities — servicios mpl, aseos mpl

transport facilities — servicios mpl de transporte

3) (Econ)

credit facilities — facilidades fpl (de pago), crédito m

overdraft facility — crédito m al descubierto

4) (=function) función f

the oven has an automatic timing facility — el horno dispone de una función de reloj automático

the watch has a stopwatch facility — el reloj también posee la función de cronómetro

there's a facility for storing data — dispone de un servicio de almacenamiento de datos

5) (=centre) centro m

a state facility for women prisoners — un centro penitenciario estatal para mujeres

a medical facility — un centro médico, un punto de asistencia médica

a nuclear facility — un complejo nuclear

6) (=talent, ease) facilidad f

he had a facility for languages — tenía facilidad para los idiomas, se le daban bien los idiomas

he writes with great facility — escribe con gran facilidad

7) (=ability) habilidad f, facultad f ; (=capacity) capacidad f

humans have lost the facility to use their sense of smell — los humanos han perdido la habilidad or la facultad de utilizar el olfato

the new model has the facility to reproduce speech — el nuevo modelo tiene la capacidad de or es capaz de reproducir el habla

* * *
[fə'sɪləti]
noun (pl - ties)

1) facilities pl

a) ( amenities)

sports facilities — instalaciones fpl deportivas

facilities for the disabled — instalaciones fpl para minusválidos

the hotel has conference facilities — el hotel dispone de sala(s) de conferencia

b) ( Fin)

credit facilities — crédito m, facilidades fpl de pago

2) ( building) (AmE) complejo m, centro m

3) u ( ability) (frml) facilidad f

English-spanish dictionary > facility
15 seat

[si:t] n

1) ( sitting place) [Sitz]platz m; ( in a car) Sitz m; (in a bus, plane, train) Sitzplatz m; ( in a theatre) Platz m;

is this \seat free/taken? ist dieser Platz frei/besetzt?;

back \seat Rücksitz m;

garden \seat [Garten]bank f;

to book [or reserve] a \seat (for concert, film, play) eine Karte reservieren lassen;

(on bus, train) einen Platz reservieren lassen;

to keep [or (Am) save] a \seat for sb jdm einen Platz freihalten;

to take [or have] a seat sich akk [hin]setzen, Platz nehmen ( geh)

please take your \seat bitte nehmen Sie Platz;

bums on \seats (Brit, Aus) ( fam);

fannies in the \seats (Am) ( fam) zahlendes Publikum

2) usu sing ( part to sit on) of a chair Sitz m; of trousers, pants Hosenboden m

3) (form: buttocks) Gesäß nt, Hinterteil nt, Hintern m ( fam)

4) pol Sitz m;

he was elected to a \seat on the local council er wurde in den Stadtrat gewählt;

a \seat in Congress/ Parliament/ the Senate ein Sitz m im Kongress/Parlament/Senat;

marginal/safe \seat knappes/sicheres Mandat;

to lose/win a \seat einen Sitz verlieren/gewinnen;

to take one's \seat ( Brit) seinen Sitz [im Parlament] einnehmen

5) ( location) Sitz m; of an event Schauplatz m ( centre) of a company Sitz m;

\seat of government Regierungssitz m;

\seat of learning ( form) Stätte f der Gelehrsamkeit ( geh)

6) ( Brit) ( aristocrat's country residence) [Wohn]sitz m;

country \seat Landsitz m;

royal \seat Residenz f

7) ( style of riding horse) Sitz m;

to have a good \seat eine gute [Reit]haltung haben

8) tech Ventilsitz m

PHRASES:

by the \seat of one's pants aus dem Gefühl [o ( fam) Bauch] heraus vt

1) ( provide seats)

to \seat sb jdn setzen, jdm einen Platz anweisen ( form)

to \seat oneself ( form) sich akk setzen

2) ( seating capacity)

to \seat 2500 room, stadium, theatre 2500 Menschen fassen;

his car \seats five in seinem Auto haben fünf Leute Platz

3) tech ( fix in base)

to \seat sth etw einpassen

English-German students dictionary > seat
16 Taylor, Frederick Winslow

SUBJECT AREA: Mechanical, pneumatic and hydraulic engineering

[br]

b. 20 March 1856 Germantown, Pennsylvania, USA

d. 21 March 1915 Philadelphia, Pennsylvania, USA

[br]

American mechanical engineer and pioneer of scientific management.

[br]

Frederick W.Taylor received his early education from his mother, followed by some years of schooling in France and Germany. Then in 1872 he entered Phillips Exeter Academy, New Hampshire, to prepare for Harvard Law School, as it was intended that he should follow his father's profession. However, in 1874 he had to abandon his studies because of poor eyesight, and he began an apprenticeship at a pump-manufacturing works in Philadelphia learning the trades of pattern-maker and machinist. On its completion in 1878 he joined the Midvale Steel Company, at first as a labourer but then as Shop Clerk and Foreman, finally becoming Chief Engineer in 1884. At the same time he was able to resume study in the evenings at the Stevens Institute of Technology, and in 1883 he obtained the degree of Mechanical Engineer (ME). He also found time to take part in amateur sport and in 1881 he won the tennis doubles championship of the United States.

It was while with the Midvale Steel Company that Taylor began the systematic study of workshop management, and the application of his techniques produced significant increases in the company's output and productivity. In 1890 he became Manager of a company operating large paper mills in Maine and Wisconsin, until 1893 when he set up on his own account as a consulting engineer specializing in management organization. In 1898 he was retained exclusively by the Bethlehem Steel Company, and there continued his work on the metal-cutting process that he had started at Midvale. In collaboration with J.Maunsel White (1856–1912) he developed high-speed tool steels and their heat treatment which increased cutting capacity by up to 300 per cent. He resigned from the Bethlehem Steel Company in 1901 and devoted the remainder of his life to expounding the principles of scientific management which became known as "Taylorism". The Society to Promote the Science of Management was established in 1911, renamed the Taylor Society after his death. He was an active member of the American Society of Mechanical Engineers and was its President in 1906; his presidential address "On the Art of Cutting Metals" was reprinted in book form.

[br]

Principal Honours and Distinctions

Paris Exposition Gold Medal 1900. Franklin Institute Elliott Cresson Gold Medal 1900. President, American Society of Mechanical Engineers 1906. Hon. ScD, University of Pennsylvania 1906. Hon. LLD, Hobart College 1912.

Bibliography

F.W.Taylor was the author of about 100 patents, several papers to the American Society of Mechanical Engineers, On the Art of Cutting Metals (1907, New York) and The Principles of Scientific Management (1911, New York) and, with S.E.Thompson, 1905 A Treatise on Concrete, New York, and Concrete Costs, 1912, New York.

Further Reading

The standard biography is Frank B.Copley, 1923, Frederick W.Taylor, Father of Scientific Management, New York (reprinted 1969, New York) and there have been numerous commentaries on his work: see, for example, Daniel Nelson, 1980, Frederick W.Taylor and the Rise of Scientific Management, Madison, Wis.

RTS

Biographical history of technology > Taylor, Frederick Winslow

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capacity — noun 1 (singular) the amount of space a container, room etc has to hold things or people (+ of): The fuel tank has a capacity of 12 gallons. | seating capacity of 500 | capacity crowd (=one that fills all the seats in a room, hall etc): The… … Longman dictionary of contemporary English
Learning disability — In the United States and Canada, the term learning disability (LD) refers to a group of disorders that affect a broad range of academic and functional skills including the ability to speak, listen, read, write, spell, reason and organize… … Wikipedia
Reverse learning — is a neurobiological theory of dreams. Crick and Mitchinson s (1983) reverse learning model likened the process of dreaming to a computer in that it was off line during dreaming. During this phase, the brain supposedly sifts through information… … Wikipedia
Capacity Development — Capacity is defined as: “the ability of individuals, institutions and societies to perform functions, solve problems, and set and achieve objectives in a sustainable manner.” Capacity development (CD) is thereby the “process through which these… … Wikipedia
Information and communication technologies for development — An OLPC class in Ulaanbaatar, Mongolia … Wikipedia
animal learning — ▪ zoology Introduction the alternation of behaviour as a result of individual experience. When an organism can perceive and change its behaviour, it is said to learn. That animals can learn seems to go without saying. The cat that… … Universalium
National College for School Leadership — National College for Leadership of Schools and Children s Services The college s Learning and Conference Centre in Nottingham Abbreviation NCLSCS Motto Inspiring leaders to improve children s lives … Wikipedia
Professional Learning Community — A Professional Learning Community, or PLC is an extended learning opportunity to foster collaborative learning among colleagues within a particular work environment or field.DefinitionsPLCs have many variations. In one definition PLCs extend...… … Wikipedia
psychomotor learning — Introduction development of organized patterns of muscular activities guided by signals from the environment. Behavioral examples include driving a car and eye hand coordination tasks such as sewing, throwing a ball, typing, operating a… … Universalium

Словари и энциклопедии на Академике

Перевод: с английского на все языки

to have a capacity for learning

Тематики

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EN

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Словари и энциклопедии на Академике

Перевод: с английского на все языки

to have a capacity for learning

Тематики

Синонимы

EN

См. также в других словарях:

Поделиться ссылкой на выделенное

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