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it+was+farther+than+i+thought

  • 1 than

    than [ðæn, ðən]
       a. que
    • more/less than 20 plus/moins de 20
    * * *
    Note: When than is used as a preposition in expressions of comparison, it is translated by que (or qu' before a vowel or mute ‘h’): he's taller than me = il est plus grand que moi; London is bigger than Oxford = Londres est plus grand qu'Oxford
    For expressions with numbers, temperatures etc see the entry below
    When than is used as a conjunction, it is translated by que and the verb following it is preceded by ne: it was farther than I thought = c'était plus loin que je ne pensais. However, French speakers often try to phrase the comparison differently: it was more difficult than we expected = c'était plus difficile que prévu. For other uses see the entry below
     [ðæn, ðən] 1.
    1) ( in comparisons) que
    2) (expressing quantity, degree, value) de

    more/less than 100 — plus/moins de 100

    2.
    1) ( in comparisons) que

    I'd sooner ou rather do X than do Y — je préférerais faire X que (de) faire Y

    3) ( when)

    hardly ou no sooner had he left than the phone rang — à peine était-il parti que le téléphone a sonné

    4) US ( from)

    English-French dictionary > than

  • 2 than

    than,
    ❢ When than is used as a preposition in expressions of comparison, it is translated by que (or qu' before a vowel or mute ‘h’): he's taller than me = il est plus grand que moi ; London is bigger than Oxford = Londres est plus grand qu'Oxford.
    For expressions with numbers, temperatures etc see the entry below. See also the entries more, less, hardly, soon, rather, other. When than is used as a conjunction, it is translated by que and the verb following it is preceded by ne: it was farther than I thought = c'était plus loin que je ne pensais. However, French speakers often try to phrase the comparison differently: it was more difficult than we expected = c'était plus difficile que prévu. For other uses see the entry below. See also the entries hardly, rather, soon.
    A prep
    1 ( in comparisons) que ; thinner than him plus mince que lui ; he has more than me il a plus que moi ; faster by plane than by boat plus rapide en avion qu'en bateau ; I was more surprised than annoyed j'étais plus étonné qu'ennuyé ; it's more difficult for us than for them c'est plus difficile pour nous que pour eux ;
    2 (expressing quantity, degree, value) de ; more/less than 100 plus/moins de 100 ; more than half plus de la moitié ; temperatures lower than 30 degrees des températures de moins de 30 degrés.
    B conj
    1 ( in comparisons) que ; he's older than I am il est plus âgé que moi ; it took us longer than we thought it would ça nous a pris plus de temps que prévu ; it was further away than I remembered c'était plus loin que dans mon souvenir ; there's nothing better/worse than doing il n'y a rien de mieux/de pire que de faire ;
    2 ( expressing preferences) I'd sooner ou rather do X than do Y je préférerais faire X que (de) faire Y ;
    3 ( when) hardly ou no sooner had he left than the phone rang à peine était-il parti que le téléphone a sonné ;
    4 US ( from) to be different than sth être différent de qch.

    Big English-French dictionary > than

  • 3 further

    'fə:ðə
    1. adverb
    ((sometimes farther) at or to a great distance or degree: I cannot go any further.) más lejos, más allá

    2. adverb, adjective
    (more; in addition: I cannot explain further; There is no further news.) más; además

    3. verb
    (to help (something) to proceed or go forward quickly: He furthered our plans.) adelantar, aligerar, avanzar; fomentar, promover, apoyar, favorecer
    - furthest
    further1 adj
    1. más lejos
    2. más
    further2 adv
    1. más lejos
    2. más
    tr['fɜːðəSMALLr/SMALL]
    1 (farther) más lejos
    2 (more, additional) más, adicional; (new) nuevo,-a
    ■ for further information, please contact... para más información, póngase en contacto con...
    1 (farther) más lejos
    ■ is it much further? ¿queda mucho más?
    2 (more, to a greater degree) más
    ■ further, I'd like to complain about the lack of parking spaces además, quisiera quejarme de la falta de aparcamientos
    1 (advance, promote) fomentar, promover
    \
    SMALLIDIOMATIC EXPRESSION/SMALL
    this must not go any further esto tiene que quedar entre nosotros, esto no tiene que salir de aquí
    further to con referencia a, referente a
    further education estudios nombre masculino plural superiores Table 1SMALLNOTA/SMALL See also far/Table 1
    further ['fərðər] vt
    : promover, fomentar
    further adv
    1) farther: más lejos, más adelante
    2) moreover: además
    3) more: más
    I'll consider it further in the morning: lo consideraré más en la mañana
    further adj
    1) farther: más lejano
    2) additional: adicional, más
    adj.
    • adicional adj.
    • más lejano adj.
    adv.
    • además adv.
    • más allá adv.
    • más lejos adv.
    • siguiente adv.
    v.
    • adelantar v.
    • fomentar v.
    • promover v.

    I 'fɜːrðər, 'fɜːðə(r)
    1) comp of far I 1)

    how much further is it? — ¿cuánto camino nos queda por hacer?

    further on, there's another set of traffic lights — más adelante, hay otro semáforo

    have you got any further with that essay? — ¿has adelantado ese trabajo?

    c) ( in time)
    d) (in extent, degree)
    2)

    further to — ( Corresp) (as prep)

    further to your letter of June 6,... — con relación a or en relación con su carta del 6 de junio,...

    3) ( furthermore) (as linker) además

    II
    adjective más

    have you any further questions? — ¿tienen más preguntas or alguna otra pregunta?


    III
    transitive verb \<\<cause/aims\>\> promover*, fomentar; \<\<career/interests\>\> favorecer*
    ['fɜːðǝ(r)]
    1. ADV
    (compar) of far

    how much further is it? — ¿cuánto camino nos queda?

    have you much further to go? — ¿le queda mucho camino por hacer?

    let's go further north/south — vayamos más al norte/sur

    • his car was parked further along — su coche estaba aparcado un poco más arriba/abajo

    a crowd was gathering further along the street — se estaba congregando una multitud de gente calle arriba/abajo

    • we were too tired to go any further that day — estábamos demasiado cansados para continuar ese día

    • move it further away — apártalo un poco más

    • we live further away from the city centre — vivimos más lejos del centro de la ciudad

    • further back — más atrás

    • I think it's further down the road — creo que está bajando un poco más la calle

    I don't think we want to go any further down that road — (fig) no creo que sea prudente seguir por ese camino (fig)

    • I need to be a bit further forward — tengo que ponerme un poco más para delante

    • nothing was further from my thoughts — nada más lejos de mi intención

    • I sank even further in — me hundí aún más

    • further on — más adelante

    • the boat drifted further out to sea — la barca iba siendo arrastrada mar adentro

    • further to the south — más al sur

    • we decided to go further up the track — decidimos seguir avanzando por el camino

    • let's look a little further ahead — miremos un poco más adelante

    • there is evidence of this even further back in history — incluso más antiguamente se ven evidencias de esto

    3) (=in progress)

    • you'll get further with her if you're polite — conseguirás más si se lo pides educadamente

    I got no further with him — (in questioning) no pude sacarle nada más

    • we need to go further and address the issues — tenemos que ir más allá y proponer soluciones a los problemas

    he went further, claiming the man had attacked him — no se quedó ahí, sino que aseguró que el hombre lo había atacado

    this mustn't go any further — [confidential matter] esto que no pase de aquí

    • further on in this chapter — más adelante en este capítulo

    • I think we should take this matter further — creo que deberíamos proseguir con este asunto

    4) (=more) más
    5) (=in addition) además

    and I further believe that... — y creo además que...

    further to your letter of the 7th — con or en relación a su carta del 7

    2.
    of far; (=additional) más

    • I have no further comment to make — no tengo nada más que añadir

    • without further delay — sin más demora

    • please send me further details of your products — le ruego me envíen más información con respecto a sus productos

    • we have no further need of your services — ya no necesitamos sus servicios

    • until further notice — hasta nuevo aviso

    • recommendations for further reading — sugerencias de lecturas complementarias or adicionales

    3.
    VT (=promote) [+ cause, aim, understanding, career] promover, fomentar
    4.
    CPD

    further education N — (Brit) (vocational, non-academic etc) formación f continua, educación f postescolar

    further education college (Brit) N — ≈ centro m de formación continua

    * * *

    I ['fɜːrðər, 'fɜːðə(r)]
    1) comp of far I 1)

    how much further is it? — ¿cuánto camino nos queda por hacer?

    further on, there's another set of traffic lights — más adelante, hay otro semáforo

    have you got any further with that essay? — ¿has adelantado ese trabajo?

    c) ( in time)
    d) (in extent, degree)
    2)

    further to — ( Corresp) (as prep)

    further to your letter of June 6,... — con relación a or en relación con su carta del 6 de junio,...

    3) ( furthermore) (as linker) además

    II
    adjective más

    have you any further questions? — ¿tienen más preguntas or alguna otra pregunta?


    III
    transitive verb \<\<cause/aims\>\> promover*, fomentar; \<\<career/interests\>\> favorecer*

    English-spanish dictionary > further

  • 4 modular data center

    1. модульный центр обработки данных (ЦОД)

     

    модульный центр обработки данных (ЦОД)
    -
    [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

    Синонимы

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    Англо-русский словарь нормативно-технической терминологии > modular data center

  • 5 Knowledge

       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)
       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)
       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])
       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)
       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)
       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)
       "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

  • 6 Artificial Intelligence

       In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)
       Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)
       Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....
       When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)
       4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, 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)
       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)
       What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)
       [AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)
       The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)
       9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract 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)
       There are many different kinds of reasoning one might imagine:
        Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."
        Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)
       Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)
       Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)
       The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)
        14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory 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)
       We might distinguish among four kinds of AI.
       Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.
       Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.
    ... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)
       Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)
        16) Determination of Relevance of Rules in Particular 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)
       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)
       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)
       Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)
       Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)
       The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)

    Historical dictionary of quotations in cognitive science > Artificial Intelligence

  • 7 that

    1. adjective,
    pl. those
    1) dieser/diese/dieses
    2) (expr. strong feeling) der/die/das

    never will I forget that day — den Tag werde ich nie vergessen

    3) (coupled or contrasted with ‘this’) der/die/das [da]
    2. pronoun,
    pl. those
    1) der/die/das

    who is that in the garden? — wer ist das [da] im Garten?

    what bird is that? — was für ein Vogel ist das?

    and [all] that — und so weiter

    like that — (of the kind or in the way mentioned, of that character) so

    [just] like that — (without effort, thought) einfach so

    don't talk like that — hör auf, so zu reden

    he is like that — so ist er eben

    that is [to say] — (introducing explanation) das heißt; (introducing reservation) das heißt; genauer gesagt

    if they'd have me, that is — das heißt, wenn sie mich nehmen

    that's more like it — (of suggestion, news) das hört sich schon besser an; (of action, work) das sieht schon besser aus

    that's right! — (expr. approval) gut od. recht so; (iron.) nur so weiter!; (coll.): (expr. assent) jawohl

    that's a good etc. boy/girl — das ist lieb [von dir, mein Junge/Mädchen]; (with request) sei so lieb usw.

    somebody/something is not as... as all that — (coll.) so... ist jemand/etwas nun auch wieder nicht

    [so] that's that — (it's finished) so, das wär's; (it's settled) so ist es nun mal

    you are not going to the party, and that's that! — du gehst nicht zu der Party, und damit Schluss!

    2) (Brit.): (person spoken to)

    who is that? — wer ist da?; (behind wall etc.) wer ist denn da?; (on telephone) wer ist am Apparat?

    3. relative pronoun, pl. same
    der/die/das

    the people that you got it from — die Leute, von denen du es bekommen hast

    the box that you put the apples in — die Kiste, in die du die Äpfel getan hast

    is he the man that you saw last night? — ist das der Mann, den Sie gestern Abend gesehen haben?

    everyone that I know — jeder, den ich kenne

    this is all [the money] that I have — das ist alles [Geld], was ich habe

    4. adverb
    (coll.) so

    he may be daft, but he's not [all] that daft — er mag ja blöd sein, aber so blöd [ist er] auch wieder nicht

    5. relative adverb
    der/die/das

    at the speed that he was going — bei der Geschwindigkeit, die er hatte

    the day that I first met her — der Tag, an dem ich sie zum ersten Mal sah

    6. conjunction
    1) (introducing statement; expr. result, reason or cause) dass
    2) (expr. purpose)

    [in order] that — damit

    * * *
    1. [ðæt] plural - those; adjective
    (used to indicate a person, thing etc spoken of before, not close to the speaker, already known to the speaker and listener etc: Don't take this book - take that one; At that time, I was living in Italy; When are you going to return those books?) jene/-r/-s
    2. pronoun
    (used to indicate a thing etc, or (in plural or with the verb be) person or people, spoken of before, not close to the speaker, already known to the speaker and listener etc: What is that you've got in your hand?; Who is that?; That is the Prime Minister; Those present at the concert included the composer and his wife.) der/die/das
    3. [ðət, ðæt] relative pronoun
    (used to refer to a person, thing etc mentioned in a preceding clause in order to distinguish it from others: Where is the parcel that arrived this morning?; Who is the man( that) you were talking to?) der/die/das
    4. [ðət, ðæt] conjunction
    1) ((often omitted) used to report what has been said etc or to introduce other clauses giving facts, reasons, results etc: I know (that) you didn't do it; I was surprised( that) he had gone.) daß
    2) (used to introduce expressions of sorrow, wishes etc: That I should be accused of murder!; Oh, that I were with her now!) daß(doch)
    5. adverb
    (so; to such an extent: I didn't realize she was that ill.) so
    - academic.ru/117188/like_that">like that
    - that's that
    * * *
    [ðæt,ðət]
    1. (person, thing specified) der/die/das
    put \that box down before you drop it stell die Kiste ab, bevor du sie [womöglich] noch fallen lässt
    who is \that girl? wer ist das Mädchen?
    what was \that noise? was war das für ein Geräusch?
    \that old liar! dieser alte Lügner!
    \that... of hers/theirs ihr(e)...
    I've never liked \that uncle of hers ich habe ihren Onkel noch nie gemocht
    \that... of mine/his mein(e)/dein(e)...
    2. (person, thing farther away) der/die/das [... dort [o da]], jene(r, s) geh
    do you know \that girl [over there] kennst du das Mädchen [dort]
    give me \that book, not this one gib mir das Buch [da], nicht dieses
    1. dem (person, thing, action specified) das
    \that's not right — three times five is fifteen das stimmt nicht — drei mal fünf ist fünfzehn
    they all think \that das denken alle
    \that's more like it! das ist doch schon gleich viel besser!
    \that's a good idea das ist eine gute Idee
    \that's a pity das ist aber schade
    \that's terrible das ist ja furchtbar
    \that will do, \that's enough das reicht
    what's \that you said? was hast du gesagt?
    who's \that? is \that the girl you're looking for? wer ist das? ist das das Mädchen, das du suchst?
    who's \that on the phone? wer spricht da?
    hello, is \that Ben? hallo, bist du das, Ben?
    is \that you making all the noise, John? bist du das, der so einen Lärm macht, John?
    it's just a gimmick — \that said, I'd love to do it das ist nur ein Trick — dennoch würde ich es gerne machen
    take \that! (when hitting sb) [das ist] für dich!
    \that's why deshalb
    2. dem (person, thing farther away) das [da [o dort]]
    I don't want this, give me \that dies hier will ich nicht, gib mir das [da]
    \that's his wife over there das da [o dort] drüben ist seine Frau
    3. dem (indicating time) das
    ah, 1985, \that was a good year ah, 1985, das war ein gutes Jahr
    \that was yesterday \that we talked on the phone, not last week wir haben gestern, nicht letzte Woche telefoniert
    4. dem, after prep
    after/before \that danach/davor
    by \that damit
    what do you mean by \that? was soll das heißen?
    like \that (in such a way) so; (of such a kind) derartig; ( fam: effortlessly) einfach so
    if you hold it like \that, it will break wenn du das so hältst, geht es kaputt
    we need more people like \that wir brauchen mehr solche Leute
    don't talk like \that sprich nicht so
    he can't just leave like \that er kann nicht einfach so verschwinden
    over/under \that darüber/darunter
    with \that damit
    [and] with \that he hung up [und] damit legte er auf
    “I still think you're wrong” he said and with \that he drove off „ich denke immer noch, dass du Unrecht hast“ sagte er und fuhr davon
    5. dem ( form: the one) der/die/das
    his appearance was \that of an undergrown man er sah aus, als ob er zu klein gewachsen wäre
    his handwriting is \that of a child seine Handschrift ist die eines Kindes
    we are often afraid of \that which we cannot understand wir fürchten uns oft vor dem, was wir nicht verstehen
    are you relieved? — [oh yes,]I am \that bist du erleichtert? — das kannst du [aber] laut sagen fam
    well, \that's it, we've finished o.k., das war's [o wär's], wir sind fertig
    \that's it! I'm not putting up with any more of her rudeness jetzt reicht's! ich lasse mir ihre Unverschämtheiten nicht mehr gefallen
    she left the room and \that was \that, I never saw her again sie verließ den Raum und das war's, ich habe sie nie wiedergesehen
    I won't agree to it and \that's \that ich stimme dem nicht zu, und damit Schluss
    \that'll [or \that should] do, \that should be enough das wird reichen
    no thanks, \that'll do [or \that's everything] nein danke, das ist alles
    8. rel (which, who) der/die/das
    \that's the car [\that] John wants to buy das ist das Auto, das John kaufen möchte
    I can't find the books [\that] I got from the library ich finde die Bücher nicht, die ich mir aus der Bibliothek ausgeliehen habe
    the baby smiles at anyone \that smiles at her das Baby lächelt alle an, die es anlächeln
    simpleton \that he is... als Einfaltspinsel, der er ist,...
    9. rel (when) als
    the year \that Anna was born das Jahr, in dem Anna geboren wurde
    10.
    ▶ and [all] \that ( fam) und so weiter
    ▶ at \that noch dazu
    she was a thief and a clever one at \that sie war eine Diebin, und eine kluge noch dazu
    ▶ \that is [to say] das heißt
    the hotel is closed during low seasons, \that is from October to March das Hotel ist in der Nebensaison, sprich von Oktober bis März, geschlossen
    ▶ this and \that dies und das
    ▶ \that was ( form)
    General Dunstaple married Miss Hughes \that was General Dunstaple heiratete die frühere Miss Hughes
    1. (as subject/object) dass
    \that such a thing could happen gave me new hope dass so etwas passieren konnte gab mir neue Hoffnung
    I knew [\that] he'd never get here on time ich wusste, dass er niemals rechtzeitig hier sein würde
    the fact is [\that] we... Fakt ist, dass wir...
    2. after adj, vb (as a result)
    it was so dark [\that] I couldn't see anything es war so dunkel, dass ich nichts sehen konnte
    so [or in order] \that damit
    let's go over the rules again in order \that... gehen wir die Regeln nochmal[s] durch, damit...
    4. after adj (in apposition to ‘it’)
    it's possible [\that] there'll be a vacancy es ist möglich, dass eine Stelle frei wird
    is it true [\that] she's gone back to teaching? stimmt es, dass sie wieder als Lehrerin arbeitet?
    considering [\that]... wenn man bedenkt, dass...
    given \that... vorausgesetzt, dass...
    supposing [\that]... angenommen, dass...
    6. (as a reason) weil, da [ja]
    it's rather \that I'm not well today es ist eher deshalb, weil ich mich heute nicht wohl fühle
    I'd like to go, it's just \that I don't have any time ich würde ja gern hingehen, ich hab' bloß [einfach] keine Zeit fam
    now \that we've bought a house... jetzt, wo wir ein Haus gekauft haben..
    we can't increase our production quantities in \that the machines are presently working to full capacity wir können die Produktion nicht hochfahren, da [nämlich] die Maschinen derzeit voll ausgelastet sind
    not \that it's actually my business, but... nicht, dass es mich etwas anginge, aber...
    except [\that] außer, dass
    his plan sounds perfect except [\that] I don't want to be involved in such a scheme sein Plan hört sich großartig an, nur will ich mit so einem Vorhaben nichts zu tun haben
    to the extent \that (so much that) dermaßen... dass; (insofar as) insofern als
    the situation has worsened to the extend \that we are calling in an independent expert die Situation hat sich dermaßen verschlimmert, dass wir einen unabhängigen Fachmann hinzuziehen
    apes are like people to the extent \that they have some human characteristics Affen sind wie Menschen, insofern als sie gewisse menschliche Eigenschaften haben
    oh \that I were young again! wäre ich doch nochmal jung!
    oh \that they would listen! wenn sie [doch] nur zuhören würden!
    IV. ADVERB
    inv so
    she's too young to walk \that far sie ist zu jung, um so weit laufen zu können
    it wasn't [all] \that good so gut war es [nun] auch wieder nicht
    his words hurt me \that much I cried seine Worte haben mich so verletzt, dass ich weinte
    * * *
    I [ðt] (weak form) [ðət]
    1. dem pron pl those
    1) das

    that is Joe ( over there) —

    who is that speaking? — wer spricht (denn) da?; (on phone)

    if she's as unhappy/stupid etc as (all) that — wenn sie so or derart unglücklich/dumm etc ist

    I didn't think she'd get/be as angry as that — ich hätte nicht gedacht, dass sie sich so ärgern würde

    ... and all that —... und so (inf)

    like that — so

    with luck/talent like that... — bei solchem or so einem (inf) Glück/Talent...

    that's got that/him out of the way — so, das wäre geschafft/den wären wir los

    that's what I'm here for — dafür bin ich ja hier, das ist meine Aufgabe

    oh well, that's that —

    there, that's that — so, das wärs

    you can't go and that's that — du darfst nicht gehen, und damit hat sichs or und damit basta (inf)

    well, that's that then — das wärs dann also

    will he come? – that he will (dial) — kommt er? – (der?) bestimmt

    2)

    (after prep) after/before/below/over that — danach/davor/darunter/darüber

    and... at that — und dabei...

    you can get it in any supermarket and quite cheaply at that — man kann es in jedem Supermarkt, und zwar ganz billig, bekommen

    what do you mean by that? (not understanding) — was wollen Sie damit sagen?; (amazed, annoyed) was soll (denn) das heißen?

    if things have or if it has come to that —

    with that she got up and left/burst into tears — damit stand sie auf und ging/brach sie in Tränen aus

    See:
    → leave
    3) (opposed to "this" and "these") das (da), jenes (old, geh)

    that's the one I like, not this one — das (dort) mag ich, nicht dies (hier)

    4)

    (followed by rel pron) this theory is different from that which... — diese Theorie unterscheidet sich von derjenigen, die...

    that which we call... — das, was wir... nennen

    2. dem adj pl those
    1) der/die/das, jene(r, s)

    that child/dog! — dieses Kind/dieser Hund!

    2) (in opposition to this) der/die/das

    I'd like that one, not this one — ich möchte das da, nicht dies hier

    3)

    (with poss) that dog of yours! — Ihr Hund, dieser Hund von Ihnen

    what about that plan of yours now? — wie steht es denn jetzt mit Ihrem Plan?, was ist denn nun mit Ihrem Plan?

    3. dem adv (inf)
    so

    it's not that good/cold etc —

    it's not that good a film — SO ein guter Film ist es nun auch wieder nicht

    II
    rel pron
    1) der/die/das, die

    all/nothing/everything etc that... — alles/nichts/alles etc, was...

    the best/cheapest etc that... — das Beste/Billigste etc, das or was...

    the girl that I told you about — das Mädchen, von dem ich Ihnen erzählt habe

    no-one has come that I know of — meines Wissens or soviel ich weiß, ist niemand gekommen

    2)

    (with expressions of time) the minute that he came the phone rang — genau in dem Augenblick, als er kam, klingelte das Telefon

    the day that we spent on the beach was one of the hottest — der Tag, den wir am Strand verbrachten, war einer der heißesten

    the day that... — an dem Tag, als...

    III
    conj
    1) dass

    he said that it was wrong — er sagte, es sei or wäre (inf) falsch, er sagte, dass es falsch sei or wäre

    not that I want to do it — nicht (etwa), dass ich das tun wollte

    See:
    → so
    2)

    (in exclamations) that things or it should come to this! —

    3) (obs, liter: in order that) auf dass (old)
    * * *
    that1 [ðæt]
    A pron & adj (hinweisend) pl those [ðəʊz]
    1. (ohne pl) das:
    that is true das stimmt;
    that’s all das ist alles;
    that’s it!
    a) so ists recht!,
    b) das ist es ja (gerade)!;
    that’s what it is das ist es ja gerade;
    that’s that umg das wäre erledigt, damit basta;
    well, that was that! umg aus der Traum!;
    that is (to say) das heißt;
    and that und zwar;
    a) trotzdem,
    b) zudem, (noch) obendrein;
    for all that trotz alledem;
    that’s what he told me so hat er es mir erzählt;
    that’s a good boy sei schön brav!; → leave1 A 2
    2. (besonders von weiter entfernten Personen etc sowie zur Betonung und pej) jener, jene, jenes:
    this cake is much better than that (one) dieser Kuchen ist viel besser als jener;
    that car over there das Auto da drüben;
    look at that hat schau dir mal diesen komischen Hut an!;
    those who diejenigen, welche;
    that which das, was;
    those were his words das waren seine Worte
    3. solch(er, e, es):
    to that degree that … in solchem Ausmaße oder so sehr, dass …
    B adv umg so (sehr), dermaßen:
    that far so weit;
    that furious so oder dermaßen wütend;
    not all that good so gut auch wieder nicht;
    he can’t be that ill so krank kann er gar nicht sein;
    that much so viel;
    it’s that simple so einfach ist das
    that2 [ðət; ðæt] pl that rel pr
    1. ( in einschränkenden Sätzen; eine präp darf nie davor stehen) der, die, das, welch(er, e, es):
    the book that he wanted das Buch, das er wünschte;
    the man that I spoke of der Mann, von dem ich sprach;
    the day that I met her der Tag, an dem ich sie traf;
    any house that jedes Haus, das;
    no one that keiner, der;
    Mrs Jones, Miss Black that was umg Frau Jones, geborene Black;
    Mrs Quilp that is umg die jetzige Frau Quilp
    2. ( nach all, everything, nothing etc) was:
    all that alles, was;
    the best that das Beste, was
    that3 [ðət; ðæt] konj
    it is a pity that he is not here es ist schade, dass er nicht hier ist;
    it is 5 years that he went away es ist nun 5 Jahre her, dass oder seitdem er fortging;
    I am not sure that it will be there ich bin nicht sicher, ob oder dass es dort ist oder sein wird
    so that sodass;
    I was so tired that I went to bed ich war so müde, dass ich zu Bett ging
    3. (in Finalsätzen) damit, dass:
    we went there that we might see it wir gingen hin, um es zu sehen
    4. (in Kausalsätzen) weil, da (ja), dass:
    not that I have any objection nicht, dass ich etwas dagegen hätte;
    it is rather that … es ist eher deshalb, weil …;
    a) darum, weil,
    b) insofern, als
    o that I could believe it! dass ich es doch glauben könnte!
    now that jetzt, da;
    at the time that I was born zu der Zeit, als ich geboren wurde
    * * *
    1. adjective,
    pl. those
    1) dieser/diese/dieses
    2) (expr. strong feeling) der/die/das
    3) (coupled or contrasted with ‘this’) der/die/das [da]
    2. pronoun,
    pl. those
    1) der/die/das

    who is that in the garden? — wer ist das [da] im Garten?

    and [all] that — und so weiter

    like that — (of the kind or in the way mentioned, of that character) so

    [just] like that — (without effort, thought) einfach so

    don't talk like that — hör auf, so zu reden

    that is [to say] — (introducing explanation) das heißt; (introducing reservation) das heißt; genauer gesagt

    if they'd have me, that is — das heißt, wenn sie mich nehmen

    that's more like it — (of suggestion, news) das hört sich schon besser an; (of action, work) das sieht schon besser aus

    that's right! — (expr. approval) gut od. recht so; (iron.) nur so weiter!; (coll.): (expr. assent) jawohl

    that's a good etc. boy/girl — das ist lieb [von dir, mein Junge/Mädchen]; (with request) sei so lieb usw.

    somebody/something is not as... as all that — (coll.) so... ist jemand/etwas nun auch wieder nicht

    [so] that's that — (it's finished) so, das wär's; (it's settled) so ist es nun mal

    you are not going to the party, and that's that! — du gehst nicht zu der Party, und damit Schluss!

    2) (Brit.): (person spoken to)

    who is that? — wer ist da?; (behind wall etc.) wer ist denn da?; (on telephone) wer ist am Apparat?

    3. relative pronoun, pl. same
    der/die/das

    the people that you got it from — die Leute, von denen du es bekommen hast

    the box that you put the apples in — die Kiste, in die du die Äpfel getan hast

    is he the man that you saw last night? — ist das der Mann, den Sie gestern Abend gesehen haben?

    everyone that I know — jeder, den ich kenne

    this is all [the money] that I have — das ist alles [Geld], was ich habe

    4. adverb
    (coll.) so

    he may be daft, but he's not [all] that daft — er mag ja blöd sein, aber so blöd [ist er] auch wieder nicht

    5. relative adverb
    der/die/das

    at the speed that he was going — bei der Geschwindigkeit, die er hatte

    the day that I first met her — der Tag, an dem ich sie zum ersten Mal sah

    6. conjunction
    1) (introducing statement; expr. result, reason or cause) dass
    2) (expr. purpose)

    [in order] that — damit

    * * *
    adj.
    dasjenig pron.
    dies adj. conj.
    dass konj. pron.
    das pron.
    derjenig pron.
    diejenig pron.
    dies pron.
    welch pron.
    welcher pron.
    welches pron.

    English-german dictionary > that

  • 8 other

    1. a ещё, дополнительный, другой

    there are some other people waiting to see you — вас ещё ждут другие, вас ждёт ещё несколько человек

    on the other — с другой,

    2. a другой, иной, не тот

    he is busy now, ask him about it some other time — он сейчас занят, спроси его об этом как-нибудь в другой раз

    it must be decided by quite other considerations — при решении этого вопроса нужно руководствоваться совершенно иными соображениями

    change into other clothes — наденьте что-нибудь другое; переоденьтесь

    to batter at each other — драться, колотить друг друга

    3. a былой, прошлый
    4. a второй, другой
    5. a обыкн. сущ. мн. ч. остальные
    6. a обыкн. ещё, другие, прочие
    7. a другие, иные, не те

    if these books are no use, can you send me some others? — если эти книги не подойдут, не сможете ли вы прислать мне другие?

    8. a филос. противоположное, обратное

    nonbeing is the other of being — небытие — противоположность бытия

    9. adv иначе, по-другому

    he thought he could not do other than leave the town — он считал, что не может поступить иначе, чем уехать из этого города

    other than as stated above — иначе, чем это установлено выше

    Синонимический ряд:
    1. additional (adj.) added; additional; another; else; extra; farther; fresh; further; more; new
    2. different (adj.) different; differentiated; disparate; dissimilar; distant; distinct; divergent; diverse; opposite; otherwise; separate; unalike; unequal; unlike; unsimilar; various

    English-Russian base dictionary > other

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