Перевод: со всех языков на все языки

со всех языков на все языки

building processes

  • 1 building processes

    Универсальный англо-русский словарь > building processes

  • 2 building processes

    строителни работи

    English-Bulgarian polytechnical dictionary > building processes

  • 3 building processes

    English-Russian Yachting dictionary > building processes

  • 4 industrial building

    1. промышленное предприятие (здание)
    2. производственное здание

     

    производственное здание

    [ http://www.eionet.europa.eu/gemet/alphabetic?langcode=en]

    EN

    industrial building
    A building directly used in manufacturing or technically productive enterprises. Industrial buildings are not generally or typically accessible to other than workers. Industrial buildings include buildings used directly in the production of power, the manufacture of products, the mining of raw materials, and the storage of textiles, petroleum products, wood and paper products, chemicals, plastics, and metals. (Source: JJK)
    [http://www.eionet.europa.eu/gemet/alphabetic?langcode=en]

    Тематики

    EN

    DE

    FR

     

    промышленное предприятие (здание)

    [ http://www.eionet.europa.eu/gemet/alphabetic?langcode=en]

    промышленное здание
    -
    [Интент]

    промышленное здание

    [А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

    EN

    industrial plant (building)
    Buildings where the operations related to industrial productive processes are carried out. (Source: ZINZAN)
    [http://www.eionet.europa.eu/gemet/alphabetic?langcode=en]

    Тематики

    EN

    DE

    FR

    Англо-русский словарь нормативно-технической терминологии > industrial building

  • 5 industrial plant (building)

    1. промышленное предприятие (здание)

     

    промышленное предприятие (здание)

    [ http://www.eionet.europa.eu/gemet/alphabetic?langcode=en]

    промышленное здание
    -
    [Интент]

    промышленное здание

    [А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

    EN

    industrial plant (building)
    Buildings where the operations related to industrial productive processes are carried out. (Source: ZINZAN)
    [http://www.eionet.europa.eu/gemet/alphabetic?langcode=en]

    Тематики

    EN

    DE

    FR

    Англо-русский словарь нормативно-технической терминологии > industrial plant (building)

  • 6 capacity-building

    1. наращивание потенциала

     

    наращивание потенциала
    повышение квалификации

    Действия, направленные на укрепление знаний, способностей, навыков и поведения, а также на улучшение организационной структуры и процессов, таким образом, чтобы организация смогла эффективно выполнять свою миссию и следовать своим целям
    [Упрощение процедур торговли: англо-русский глоссарий терминов (пересмотренное второе издание) НЬЮ-ЙОРК, ЖЕНЕВА, МОСКВА 2011 год]

    EN

    capacity-building
    Activities which strengthen the knowledge, abilities, skills and behaviour of individuals and improve institutional structures and processes such that the beneficiary organization can efficiently meet its mission and goals in a sustainable way
    [Trade Facilitation Terms: An English - Russian Glossary (revised second edition) NEW YORK, GENEVA, MOSCOW 2094]

    Тематики

    Синонимы

    EN

    Англо-русский словарь нормативно-технической терминологии > capacity-building

  • 7 строителни работи

    building process
    building processes

    Български-Angleščina политехнически речник > строителни работи

  • 8 производственные процессы

    1) Programming: manufacturing processes
    3) Yachting: building processes

    Универсальный русско-английский словарь > производственные процессы

  • 9 модульный центр обработки данных (ЦОД)

    1. modular data center

     

    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

    EN

    Русско-английский словарь нормативно-технической терминологии > модульный центр обработки данных (ЦОД)

  • 10 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

    EN

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

  • 11 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

  • 12 creación de las montañas

    Ex. This digital tapestry outlines the geologic story of continental collision and break-up, mountain-building, river erosion and deposition, glaciation, volcanism, and other events and processes that have shaped the region.
    * * *

    Ex: This digital tapestry outlines the geologic story of continental collision and break-up, mountain-building, river erosion and deposition, glaciation, volcanism, and other events and processes that have shaped the region.

    Spanish-English dictionary > creación de las montañas

  • 13 near cash

    !
    гос. фин. The resource budget contains a separate control total for “near cash” expenditure, that is expenditure such as pay and current grants which impacts directly on the measure of the golden rule.
    This paper provides background information on the framework for the planning and control of public expenditure in the UK which has been operated since the 1998 Comprehensive Spending Review (CSR). It sets out the different classifications of spending for budgeting purposes and why these distinctions have been adopted. It discusses how the public expenditure framework is designed to ensure both sound public finances and an outcome-focused approach to public expenditure.
    The UK's public spending framework is based on several key principles:
    "
    consistency with a long-term, prudent and transparent regime for managing the public finances as a whole;
    " "
    the judgement of success by policy outcomes rather than resource inputs;
    " "
    strong incentives for departments and their partners in service delivery to plan over several years and plan together where appropriate so as to deliver better public services with greater cost effectiveness; and
    "
    the proper costing and management of capital assets to provide the right incentives for public investment.
    The Government sets policy to meet two firm fiscal rules:
    "
    the Golden Rule states that over the economic cycle, the Government will borrow only to invest and not to fund current spending; and
    "
    the Sustainable Investment Rule states that net public debt as a proportion of GDP will be held over the economic cycle at a stable and prudent level. Other things being equal, net debt will be maintained below 40 per cent of GDP over the economic cycle.
    Achievement of the fiscal rules is assessed by reference to the national accounts, which are produced by the Office for National Statistics, acting as an independent agency. The Government sets its spending envelope to comply with these fiscal rules.
    Departmental Expenditure Limits ( DEL) and Annually Managed Expenditure (AME)
    "
    Departmental Expenditure Limit ( DEL) spending, which is planned and controlled on a three year basis in Spending Reviews; and
    "
    Annually Managed Expenditure ( AME), which is expenditure which cannot reasonably be subject to firm, multi-year limits in the same way as DEL. AME includes social security benefits, local authority self-financed expenditure, debt interest, and payments to EU institutions.
    More information about DEL and AME is set out below.
    In Spending Reviews, firm DEL plans are set for departments for three years. To ensure consistency with the Government's fiscal rules departments are set separate resource (current) and capital budgets. The resource budget contains a separate control total for “near cash” expenditure, that is expenditure such as pay and current grants which impacts directly on the measure of the golden rule.
    To encourage departments to plan over the medium term departments may carry forward unspent DEL provision from one year into the next and, subject to the normal tests for tautness and realism of plans, may be drawn down in future years. This end-year flexibility also removes any incentive for departments to use up their provision as the year end approaches with less regard to value for money. For the full benefits of this flexibility and of three year plans to feed through into improved public service delivery, end-year flexibility and three year budgets should be cascaded from departments to executive agencies and other budget holders.
    Three year budgets and end-year flexibility give those managing public services the stability to plan their operations on a sensible time scale. Further, the system means that departments cannot seek to bid up funds each year (before 1997, three year plans were set and reviewed in annual Public Expenditure Surveys). So the credibility of medium-term plans has been enhanced at both central and departmental level.
    Departments have certainty over the budgetary allocation over the medium term and these multi-year DEL plans are strictly enforced. Departments are expected to prioritise competing pressures and fund these within their overall annual limits, as set in Spending Reviews. So the DEL system provides a strong incentive to control costs and maximise value for money.
    There is a small centrally held DEL Reserve. Support from the Reserve is available only for genuinely unforeseeable contingencies which departments cannot be expected to manage within their DEL.
    AME typically consists of programmes which are large, volatile and demand-led, and which therefore cannot reasonably be subject to firm multi-year limits. The biggest single element is social security spending. Other items include tax credits, Local Authority Self Financed Expenditure, Scottish Executive spending financed by non-domestic rates, and spending financed from the proceeds of the National Lottery.
    AME is reviewed twice a year as part of the Budget and Pre-Budget Report process reflecting the close integration of the tax and benefit system, which was enhanced by the introduction of tax credits.
    AME is not subject to the same three year expenditure limits as DEL, but is still part of the overall envelope for public expenditure. Affordability is taken into account when policy decisions affecting AME are made. The Government has committed itself not to take policy measures which are likely to have the effect of increasing social security or other elements of AME without taking steps to ensure that the effects of those decisions can be accommodated prudently within the Government's fiscal rules.
    Given an overall envelope for public spending, forecasts of AME affect the level of resources available for DEL spending. Cautious estimates and the AME margin are built in to these AME forecasts and reduce the risk of overspending on AME.
    Together, DEL plus AME sum to Total Managed Expenditure (TME). TME is a measure drawn from national accounts. It represents the current and capital spending of the public sector. The public sector is made up of central government, local government and public corporations.
    Resource and Capital Budgets are set in terms of accruals information. Accruals information measures resources as they are consumed rather than when the cash is paid. So for example the Resource Budget includes a charge for depreciation, a measure of the consumption or wearing out of capital assets.
    "
    Non cash charges in budgets do not impact directly on the fiscal framework. That may be because the national accounts use a different way of measuring the same thing, for example in the case of the depreciation of departmental assets. Or it may be that the national accounts measure something different: for example, resource budgets include a cost of capital charge reflecting the opportunity cost of holding capital; the national accounts include debt interest.
    "
    Within the Resource Budget DEL, departments have separate controls on:
    "
    Near cash spending, the sub set of Resource Budgets which impacts directly on the Golden Rule; and
    "
    The amount of their Resource Budget DEL that departments may spend on running themselves (e.g. paying most civil servants’ salaries) is limited by Administration Budgets, which are set in Spending Reviews. Administration Budgets are used to ensure that as much money as practicable is available for front line services and programmes. These budgets also help to drive efficiency improvements in departments’ own activities. Administration Budgets exclude the costs of frontline services delivered directly by departments.
    The Budget preceding a Spending Review sets an overall envelope for public spending that is consistent with the fiscal rules for the period covered by the Spending Review. In the Spending Review, the Budget AME forecast for year one of the Spending Review period is updated, and AME forecasts are made for the later years of the Spending Review period.
    The 1998 Comprehensive Spending Review ( CSR), which was published in July 1998, was a comprehensive review of departmental aims and objectives alongside a zero-based analysis of each spending programme to determine the best way of delivering the Government's objectives. The 1998 CSR allocated substantial additional resources to the Government's key priorities, particularly education and health, for the three year period from 1999-2000 to 2001-02.
    Delivering better public services does not just depend on how much money the Government spends, but also on how well it spends it. Therefore the 1998 CSR introduced Public Service Agreements (PSAs). Each major government department was given its own PSA setting out clear targets for achievements in terms of public service improvements.
    The 1998 CSR also introduced the DEL/ AME framework for the control of public spending, and made other framework changes. Building on the investment and reforms delivered by the 1998 CSR, successive spending reviews in 2000, 2002 and 2004 have:
    "
    provided significant increase in resources for the Government’s priorities, in particular health and education, and cross-cutting themes such as raising productivity; extending opportunity; and building strong and secure communities;
    " "
    enabled the Government significantly to increase investment in public assets and address the legacy of under investment from past decades. Departmental Investment Strategies were introduced in SR2000. As a result there has been a steady increase in public sector net investment from less than ¾ of a per cent of GDP in 1997-98 to 2¼ per cent of GDP in 2005-06, providing better infrastructure across public services;
    " "
    introduced further refinements to the performance management framework. PSA targets have been reduced in number over successive spending reviews from around 300 to 110 to give greater focus to the Government’s highest priorities. The targets have become increasingly outcome-focused to deliver further improvements in key areas of public service delivery across Government. They have also been refined in line with the conclusions of the Devolving Decision Making Review to provide a framework which encourages greater devolution and local flexibility. Technical Notes were introduced in SR2000 explaining how performance against each PSA target will be measured; and
    "
    not only allocated near cash spending to departments, but also – since SR2002 - set Resource DEL plans for non cash spending.
    To identify what further investments and reforms are needed to equip the UK for the global challenges of the decade ahead, on 19 July 2005 the Chief Secretary to the Treasury announced that the Government intends to launch a second Comprehensive Spending Review (CSR) reporting in 2007.
    A decade on from the first CSR, the 2007 CSR will represent a long-term and fundamental review of government expenditure. It will cover departmental allocations for 2008-09, 2009-10 and 2010 11. Allocations for 2007-08 will be held to the agreed figures already announced by the 2004 Spending Review. To provide a rigorous analytical framework for these departmental allocations, the Government will be taking forward a programme of preparatory work over 2006 involving:
    "
    an assessment of what the sustained increases in spending and reforms to public service delivery have achieved since the first CSR. The assessment will inform the setting of new objectives for the decade ahead;
    " "
    an examination of the key long-term trends and challenges that will shape the next decade – including demographic and socio-economic change, globalisation, climate and environmental change, global insecurity and technological change – together with an assessment of how public services will need to respond;
    " "
    to release the resources needed to address these challenges, and to continue to secure maximum value for money from public spending over the CSR period, a set of zero-based reviews of departments’ baseline expenditure to assess its effectiveness in delivering the Government’s long-term objectives; together with
    "
    further development of the efficiency programme, building on the cross cutting areas identified in the Gershon Review, to embed and extend ongoing efficiency savings into departmental expenditure planning.
    The 2007 CSR also offers the opportunity to continue to refine the PSA framework so that it drives effective delivery and the attainment of ambitious national standards.
    Public Service Agreements (PSAs) were introduced in the 1998 CSR. They set out agreed targets detailing the outputs and outcomes departments are expected to deliver with the resources allocated to them. The new spending regime places a strong emphasis on outcome targets, for example in providing for better health and higher educational standards or service standards. The introduction in SR2004 of PSA ‘standards’ will ensure that high standards in priority areas are maintained.
    The Government monitors progress against PSA targets, and departments report in detail twice a year in their annual Departmental Reports (published in spring) and in their autumn performance reports. These reports provide Parliament and the public with regular updates on departments’ performance against their targets.
    Technical Notes explain how performance against each PSA target will be measured.
    To make the most of both new investment and existing assets, there needs to be a coherent long term strategy against which investment decisions are taken. Departmental Investment Strategies (DIS) set out each department's plans to deliver the scale and quality of capital stock needed to underpin its objectives. The DIS includes information about the department's existing capital stock and future plans for that stock, as well as plans for new investment. It also sets out the systems that the department has in place to ensure that it delivers its capital programmes effectively.
    This document was updated on 19 December 2005.
    Near-cash resource expenditure that has a related cash implication, even though the timing of the cash payment may be slightly different. For example, expenditure on gas or electricity supply is incurred as the fuel is used, though the cash payment might be made in arrears on aquarterly basis. Other examples of near-cash expenditure are: pay, rental.Net cash requirement the upper limit agreed by Parliament on the cash which a department may draw from theConsolidated Fund to finance the expenditure within the ambit of its Request forResources. It is equal to the agreed amount of net resources and net capital less non-cashitems and working capital.Non-cash cost costs where there is no cash transaction but which are included in a body’s accounts (or taken into account in charging for a service) to establish the true cost of all the resourcesused.Non-departmental a body which has a role in the processes of government, but is not a government public body, NDPBdepartment or part of one. NDPBs accordingly operate at arm’s length from governmentMinisters.Notional cost of a cost which is taken into account in setting fees and charges to improve comparability with insuranceprivate sector service providers.The charge takes account of the fact that public bodies donot generally pay an insurance premium to a commercial insurer.the independent body responsible for collecting and publishing official statistics about theUK’s society and economy. (At the time of going to print legislation was progressing tochange this body to the Statistics Board).Office of Government an office of the Treasury, with a status similar to that of an agency, which aims to maximise Commerce, OGCthe government’s purchasing power for routine items and combine professional expertiseto bear on capital projects.Office of the the government department responsible for discharging the Paymaster General’s statutoryPaymaster General,responsibilities to hold accounts and make payments for government departments and OPGother public bodies.Orange bookthe informal title for Management of Risks: Principles and Concepts, which is published by theTreasury for the guidance of public sector bodies.Office for NationalStatistics, ONS60Managing Public Money
    ————————————————————————————————————————
    "
    GLOSSARYOverdraftan account with a negative balance.Parliament’s formal agreement to authorise an activity or expenditure.Prerogative powerspowers exercisable under the Royal Prerogative, ie powers which are unique to the Crown,as contrasted with common-law powers which may be available to the Crown on the samebasis as to natural persons.Primary legislationActs which have been passed by the Westminster Parliament and, where they haveappropriate powers, the Scottish Parliament and the Northern Ireland Assembly. Begin asBills until they have received Royal Assent.arrangements under which a public sector organisation contracts with a private sectorentity to construct a facility and provide associated services of a specified quality over asustained period. See annex 7.5.Proprietythe principle that patterns of resource consumption should respect Parliament’s intentions,conventions and control procedures, including any laid down by the PAC. See box 2.4.Public Accountssee Committee of Public Accounts.CommitteePublic corporationa trading body controlled by central government, local authority or other publiccorporation that has substantial day to day operating independence. See section 7.8.Public Dividend finance provided by government to public sector bodies as an equity stake; an alternative to Capital, PDCloan finance.Public Service sets out what the public can expect the government to deliver with its resources. EveryAgreement, PSAlarge government department has PSA(s) which specify deliverables as targets or aimsrelated to objectives.a structured arrangement between a public sector and a private sector organisation tosecure an outcome delivering good value for money for the public sector. It is classified tothe public or private sector according to which has more control.Rate of returnthe financial remuneration delivered by a particular project or enterprise, expressed as apercentage of the net assets employed.Regularitythe principle that resource consumption should accord with the relevant legislation, therelevant delegated authority and this document. See box 2.4.Request for the functional level into which departmental Estimates may be split. RfRs contain a number Resources, RfRof functions being carried out by the department in pursuit of one or more of thatdepartment’s objectives.Resource accountan accruals account produced in line with the Financial Reporting Manual (FReM).Resource accountingthe system under which budgets, Estimates and accounts are constructed in a similar wayto commercial audited accounts, so that both plans and records of expenditure allow in fullfor the goods and services which are to be, or have been, consumed – ie not just the cashexpended.Resource budgetthe means by which the government plans and controls the expenditure of resources tomeet its objectives.Restitutiona legal concept which allows money and property to be returned to its rightful owner. Ittypically operates where another person can be said to have been unjustly enriched byreceiving such monies.Return on capital the ratio of profit to capital employed of an accounting entity during an identified period.employed, ROCEVarious measures of profit and of capital employed may be used in calculating the ratio.Public Privatepartnership, PPPPrivate Finance Initiative, PFIParliamentaryauthority61Managing Public Money
    "
    ————————————————————————————————————————
    GLOSSARYRoyal charterthe document setting out the powers and constitution of a corporation established underprerogative power of the monarch acting on Privy Council advice.Second readingthe second formal time that a House of Parliament may debate a bill, although in practicethe first substantive debate on its content. If successful, it is deemed to denoteParliamentary approval of the principle of the proposed legislation.Secondary legislationlaws, including orders and regulations, which are made using powers in primary legislation.Normally used to set out technical and administrative provision in greater detail thanprimary legislation, they are subject to a less intense level of scrutiny in Parliament.European legislation is,however,often implemented in secondary legislation using powers inthe European Communities Act 1972.Service-level agreement between parties, setting out in detail the level of service to be performed.agreementWhere agreements are between central government bodies, they are not legally a contractbut have a similar function.Shareholder Executive a body created to improve the government’s performance as a shareholder in businesses.Spending reviewsets out the key improvements in public services that the public can expect over a givenperiod. It includes a thorough review of departmental aims and objectives to find the bestway of delivering the government’s objectives, and sets out the spending plans for the givenperiod.State aidstate support for a domestic body or company which could distort EU competition and sois not usually allowed. See annex 4.9.Statement of Excessa formal statement detailing departments’ overspends prepared by the Comptroller andAuditor General as a result of undertaking annual audits.Statement on Internal an annual statement that Accounting Officers are required to make as part of the accounts Control, SICon a range of risk and control issues.Subheadindividual elements of departmental expenditure identifiable in Estimates as single cells, forexample cell A1 being administration costs within a particular line of departmental spending.Supplyresources voted by Parliament in response to Estimates, for expenditure by governmentdepartments.Supply Estimatesa statement of the resources the government needs in the coming financial year, and forwhat purpose(s), by which Parliamentary authority is sought for the planned level ofexpenditure and income.Target rate of returnthe rate of return required of a project or enterprise over a given period, usually at least a year.Third sectorprivate sector bodies which do not act commercially,including charities,social and voluntaryorganisations and other not-for-profit collectives. See annex 7.7.Total Managed a Treasury budgeting term which covers all current and capital spending carried out by the Expenditure,TMEpublic sector (ie not just by central departments).Trading fundan organisation (either within a government department or forming one) which is largely orwholly financed from commercial revenue generated by its activities. Its Estimate shows itsnet impact, allowing its income from receipts to be devoted entirely to its business.Treasury Minutea formal administrative document drawn up by the Treasury, which may serve a wide varietyof purposes including seeking Parliamentary approval for the use of receipts asappropriations in aid, a remission of some or all of the principal of voted loans, andresponding on behalf of the government to reports by the Public Accounts Committee(PAC).62Managing Public Money
    ————————————————————————————————————————
    GLOSSARY63Managing Public MoneyValue for moneythe process under which organisation’s procurement, projects and processes aresystematically evaluated and assessed to provide confidence about suitability, effectiveness,prudence,quality,value and avoidance of error and other waste,judged for the public sectoras a whole.Virementthe process through which funds are moved between subheads such that additionalexpenditure on one is met by savings on one or more others.Votethe process by which Parliament approves funds in response to supply Estimates.Voted expenditureprovision for expenditure that has been authorised by Parliament. Parliament ‘votes’authority for public expenditure through the Supply Estimates process. Most expenditureby central government departments is authorised in this way.Wider market activity activities undertaken by central government organisations outside their statutory duties,using spare capacity and aimed at generating a commercial profit. See annex 7.6.Windfallmonies received by a department which were not anticipated in the spending review.
    ————————————————————————————————————————

    Англо-русский экономический словарь > near cash

  • 14 Bibliography

     ■ Aitchison, J. (1987). Noam Chomsky: Consensus and controversy. New York: Falmer Press.
     ■ Anderson, J. R. (1980). Cognitive psychology and its implications. San Francisco: W. H. Freeman.
     ■ Anderson, J. R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press.
     ■ Anderson, J. R. (1995). Cognitive psychology and its implications (4th ed.). New York: W. H. Freeman.
     ■ Archilochus (1971). In M. L. West (Ed.), Iambi et elegi graeci (Vol. 1). Oxford: Oxford University Press.
     ■ Armstrong, D. M. (1990). The causal theory of the mind. In W. G. Lycan (Ed.), Mind and cognition: A reader (pp. 37-47). Cambridge, MA: Basil Blackwell. (Originally published in 1981 in The nature of mind and other essays, Ithaca, NY: University Press).
     ■ Atkins, P. W. (1992). Creation revisited. Oxford: W. H. Freeman & Company.
     ■ Austin, J. L. (1962). How to do things with words. Cambridge, MA: Harvard University Press.
     ■ Bacon, F. (1878). Of the proficience and advancement of learning divine and human. In The works of Francis Bacon (Vol. 1). Cambridge, MA: Hurd & Houghton.
     ■ Bacon, R. (1928). Opus majus (Vol. 2). R. B. Burke (Trans.). Philadelphia, PA: University of Pennsylvania Press.
     ■ Bar-Hillel, Y. (1960). The present status of automatic translation of languages. In F. L. Alt (Ed.), Advances in computers (Vol. 1). New York: Academic Press.
     ■ Barr, A., & E. A. Feigenbaum (Eds.) (1981). The handbook of artificial intelligence (Vol. 1). Reading, MA: Addison-Wesley.
     ■ Barr, A., & E. A. Feigenbaum (Eds.) (1982). The handbook of artificial intelligence (Vol. 2). Los Altos, CA: William Kaufman.
     ■ Barron, F. X. (1963). The needs for order and for disorder as motives in creative activity. In C. W. Taylor & F. X. Barron (Eds.), Scientific creativity: Its rec ognition and development (pp. 153-160). New York: Wiley.
     ■ Bartlett, F. C. (1932). Remembering: A study in experimental and social psychology. Cambridge: Cambridge University Press.
     ■ Bartley, S. H. (1969). Principles of perception. London: Harper & Row.
     ■ Barzun, J. (1959). The house of intellect. New York: Harper & Row.
     ■ Beach, F. A., D. O. Hebb, C. T. Morgan & H. W. Nissen (Eds.) (1960). The neu ropsychology of Lashley. New York: McGraw-Hill.
     ■ Berkeley, G. (1996). Principles of human knowledge: Three Dialogues. Oxford: Oxford University Press. (Originally published in 1710.)
     ■ Berlin, I. (1953). The hedgehog and the fox: An essay on Tolstoy's view of history. NY: Simon & Schuster.
     ■ Bierwisch, J. (1970). Semantics. In J. Lyons (Ed.), New horizons in linguistics. Baltimore: Penguin Books.
     ■ Black, H. C. (1951). Black's law dictionary. St. Paul, MN: West Publishing.
     ■ Bobrow, D. G., & D. A. Norman (1975). Some principles of memory schemata. In D. G. Bobrow & A. Collins (Eds.), Representation and understanding: Stud ies in Cognitive Science (pp. 131-149). New York: Academic Press.
     ■ Boden, M. A. (1977). Artificial intelligence and natural man. New York: Basic Books.
     ■ Boden, M. A. (1981). Minds and mechanisms. Ithaca, NY: Cornell University Press.
     ■ Boden, M. A. (1990a). The creative mind: Myths and mechanisms. London: Cardinal.
     ■ Boden, M. A. (1990b). The philosophy of artificial intelligence. Oxford: Oxford University Press.
     ■ Boden, M. A. (1994). Precis of The creative mind: Myths and mechanisms. Behavioral and brain sciences 17, 519-570.
     ■ Boden, M. (1996). Creativity. In M. Boden (Ed.), Artificial Intelligence (2nd ed.). San Diego: Academic Press.
     ■ Bolter, J. D. (1984). Turing's man: Western culture in the computer age. Chapel Hill, NC: University of North Carolina Press.
     ■ Bolton, N. (1972). The psychology of thinking. London: Methuen.
     ■ Bourne, L. E. (1973). Some forms of cognition: A critical analysis of several papers. In R. Solso (Ed.), Contemporary issues in cognitive psychology (pp. 313324). Loyola Symposium on Cognitive Psychology (Chicago 1972). Washington, DC: Winston.
     ■ Bransford, J. D., N. S. McCarrell, J. J. Franks & K. E. Nitsch (1977). Toward unexplaining memory. In R. Shaw & J. D. Bransford (Eds.), Perceiving, acting, and knowing (pp. 431-466). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Breger, L. (1981). Freud's unfinished journey. London: Routledge & Kegan Paul.
     ■ Brehmer, B. (1986). In one word: Not from experience. In H. R. Arkes & K. Hammond (Eds.), Judgment and decision making: An interdisciplinary reader (pp. 705-719). Cambridge: Cambridge University Press.
     ■ Bresnan, J. (1978). A realistic transformational grammar. In M. Halle, J. Bresnan & G. A. Miller (Eds.), Linguistic theory and psychological reality (pp. 1-59). Cambridge, MA: MIT Press.
     ■ Brislin, R. W., W. J. Lonner & R. M. Thorndike (Eds.) (1973). Cross- cultural research methods. New York: Wiley.
     ■ Bronowski, J. (1977). A sense of the future: Essays in natural philosophy. P. E. Ariotti with R. Bronowski (Eds.). Cambridge, MA: MIT Press.
     ■ Bronowski, J. (1978). The origins of knowledge and imagination. New Haven, CT: Yale University Press.
     ■ Brown, R. O. (1973). A first language: The early stages. Cambridge, MA: Harvard University Press.
     ■ Brown, T. (1970). Lectures on the philosophy of the human mind. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 330-387). New York: Random House/Modern Library.
     ■ Bruner, J. S., J. Goodnow & G. Austin (1956). A study of thinking. New York: Wiley.
     ■ Campbell, J. (1982). Grammatical man: Information, entropy, language, and life. New York: Simon & Schuster.
     ■ Campbell, J. (1989). The improbable machine. New York: Simon & Schuster.
     ■ Carlyle, T. (1966). On heroes, hero- worship and the heroic in history. Lincoln: University of Nebraska Press. (Originally published in 1841.)
     ■ Carnap, R. (1959). The elimination of metaphysics through logical analysis of language [Ueberwindung der Metaphysik durch logische Analyse der Sprache]. In A. J. Ayer (Ed.), Logical positivism (pp. 60-81) A. Pap (Trans). New York: Free Press. (Originally published in 1932.)
     ■ Cassirer, E. (1946). Language and myth. New York: Harper and Brothers. Reprinted. New York: Dover Publications, 1953.
     ■ Cattell, R. B., & H. J. Butcher (1970). Creativity and personality. In P. E. Vernon (Ed.), Creativity. Harmondsworth, England: Penguin Books.
     ■ Caudill, M., & C. Butler (1990). Naturally intelligent systems. Cambridge, MA: MIT Press/Bradford Books.
     ■ Chandrasekaran, B. (1990). What kind of information processing is intelligence? A perspective on AI paradigms and a proposal. In D. Partridge & R. Wilks (Eds.), The foundations of artificial intelligence: A sourcebook (pp. 14-46). Cambridge: Cambridge University Press.
     ■ Charniak, E., & McDermott, D. (1985). Introduction to artificial intelligence. Reading, MA: Addison-Wesley.
     ■ Chase, W. G., & H. A. Simon (1988). The mind's eye in chess. In A. Collins & E. E. Smith (Eds.), Readings in cognitive science: A perspective from psychology and artificial intelligence (pp. 461-493). San Mateo, CA: Kaufmann.
     ■ Cheney, D. L., & R. M. Seyfarth (1990). How monkeys see the world: Inside the mind of another species. Chicago: University of Chicago Press.
     ■ Chi, M.T.H., R. Glaser & E. Rees (1982). Expertise in problem solving. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (pp. 7-73). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Chomsky, N. (1957). Syntactic structures. The Hague: Mouton. Janua Linguarum.
     ■ Chomsky, N. (1964). A transformational approach to syntax. In J. A. Fodor & J. J. Katz (Eds.), The structure of language: Readings in the philosophy of lan guage (pp. 211-245). Englewood Cliffs, NJ: Prentice-Hall.
     ■ Chomsky, N. (1965). Aspects of the theory of syntax. Cambridge, MA: MIT Press.
     ■ Chomsky, N. (1972). Language and mind (enlarged ed.). New York: Harcourt Brace Jovanovich.
     ■ Chomsky, N. (1979). Language and responsibility. New York: Pantheon.
     ■ Chomsky, N. (1986). Knowledge of language: Its nature, origin and use. New York: Praeger Special Studies.
     ■ Churchland, P. (1979). Scientific realism and the plasticity of mind. New York: Cambridge University Press.
     ■ Churchland, P. M. (1989). A neurocomputational perspective: The nature of mind and the structure of science. Cambridge, MA: MIT Press.
     ■ Churchland, P. S. (1986). Neurophilosophy. Cambridge, MA: MIT Press/Bradford Books.
     ■ Clark, A. (1996). Philosophical Foundations. In M. A. Boden (Ed.), Artificial in telligence (2nd ed.). San Diego: Academic Press.
     ■ Clark, H. H., & T. B. Carlson (1981). Context for comprehension. In J. Long & A. Baddeley (Eds.), Attention and performance (Vol. 9, pp. 313-330). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Clarke, A. C. (1984). Profiles of the future: An inquiry into the limits of the possible. New York: Holt, Rinehart & Winston.
     ■ Claxton, G. (1980). Cognitive psychology: A suitable case for what sort of treatment? In G. Claxton (Ed.), Cognitive psychology: New directions (pp. 1-25). London: Routledge & Kegan Paul.
     ■ Code, M. (1985). Order and organism. Albany, NY: State University of New York Press.
     ■ Collingwood, R. G. (1972). The idea of history. New York: Oxford University Press.
     ■ Coopersmith, S. (1967). The antecedents of self- esteem. San Francisco: W. H. Freeman.
     ■ Copland, A. (1952). Music and imagination. London: Oxford University Press.
     ■ Coren, S. (1994). The intelligence of dogs. New York: Bantam Books.
     ■ Cottingham, J. (Ed.) (1996). Western philosophy: An anthology. Oxford: Blackwell Publishers.
     ■ Cox, C. (1926). The early mental traits of three hundred geniuses. Stanford, CA: Stanford University Press.
     ■ Craik, K.J.W. (1943). The nature of explanation. Cambridge: Cambridge University Press.
     ■ Cronbach, L. J. (1990). Essentials of psychological testing (5th ed.). New York: HarperCollins.
     ■ Cronbach, L. J., & R. E. Snow (1977). Aptitudes and instructional methods. New York: Irvington. Paperback edition, 1981.
     ■ Csikszentmihalyi, M. (1993). The evolving self. New York: Harper Perennial.
     ■ Culler, J. (1976). Ferdinand de Saussure. New York: Penguin Books.
     ■ Curtius, E. R. (1973). European literature and the Latin Middle Ages. W. R. Trask (Trans.). Princeton, NJ: Princeton University Press.
     ■ D'Alembert, J.L.R. (1963). Preliminary discourse to the encyclopedia of Diderot. R. N. Schwab (Trans.). Indianapolis: Bobbs-Merrill.
     ■ Damasio, A. (1994). Descartes' error: Emotion, reason, and the human brain. New York: Avon.
     ■ Dampier, W. C. (1966). A history of modern science. Cambridge: Cambridge University Press.
     ■ Darwin, C. (1911). The life and letters of Charles Darwin (Vol. 1). Francis Darwin (Ed.). New York: Appleton.
     ■ Davidson, D. (1970) Mental events. In L. Foster & J. W. Swanson (Eds.), Experience and theory (pp. 79-101). Amherst: University of Massachussetts Press.
     ■ Davies, P. (1995). About time: Einstein's unfinished revolution. New York: Simon & Schuster/Touchstone.
     ■ Davis, R., & J. J. King (1977). An overview of production systems. In E. Elcock & D. Michie (Eds.), Machine intelligence 8. Chichester, England: Ellis Horwood.
     ■ Davis, R., & D. B. Lenat (1982). Knowledge- based systems in artificial intelligence. New York: McGraw-Hill.
     ■ Dawkins, R. (1982). The extended phenotype: The gene as the unit of selection. Oxford: W. H. Freeman.
     ■ deKleer, J., & J. S. Brown (1983). Assumptions and ambiguities in mechanistic mental models (1983). In D. Gentner & A. L. Stevens (Eds.), Mental modes (pp. 155-190). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Dennett, D. C. (1978a). Brainstorms: Philosophical essays on mind and psychology. Montgomery, VT: Bradford Books.
     ■ Dennett, D. C. (1978b). Toward a cognitive theory of consciousness. In D. C. Dennett, Brainstorms: Philosophical Essays on Mind and Psychology. Montgomery, VT: Bradford Books.
     ■ Dennett, D. C. (1995). Darwin's dangerous idea: Evolution and the meanings of life. New York: Simon & Schuster/Touchstone.
     ■ Descartes, R. (1897-1910). Traite de l'homme. In Oeuvres de Descartes (Vol. 11, pp. 119-215). Paris: Charles Adam & Paul Tannery. (Originally published in 1634.)
     ■ Descartes, R. (1950). Discourse on method. L. J. Lafleur (Trans.). New York: Liberal Arts Press. (Originally published in 1637.)
     ■ Descartes, R. (1951). Meditation on first philosophy. L. J. Lafleur (Trans.). New York: Liberal Arts Press. (Originally published in 1641.)
     ■ Descartes, R. (1955). The philosophical works of Descartes. E. S. Haldane and G.R.T. Ross (Trans.). New York: Dover. (Originally published in 1911 by Cambridge University Press.)
     ■ Descartes, R. (1967). Discourse on method (Pt. V). In E. S. Haldane and G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 106-118). Cambridge: Cambridge University Press. (Originally published in 1637.)
     ■ Descartes, R. (1970a). Discourse on method. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 181-200). Cambridge: Cambridge University Press. (Originally published in 1637.)
     ■ Descartes, R. (1970b). Principles of philosophy. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 178-291). Cambridge: Cambridge University Press. (Originally published in 1644.)
     ■ Descartes, R. (1984). Meditations on first philosophy. In J. Cottingham, R. Stoothoff & D. Murduch (Trans.), The philosophical works of Descartes (Vol. 2). Cambridge: Cambridge University Press. (Originally published in 1641.)
     ■ Descartes, R. (1986). Meditations on first philosophy. J. Cottingham (Trans.). Cambridge: Cambridge University Press. (Originally published in 1641 as Med itationes de prima philosophia.)
     ■ deWulf, M. (1956). An introduction to scholastic philosophy. Mineola, NY: Dover Books.
     ■ Dixon, N. F. (1981). Preconscious processing. London: Wiley.
     ■ Doyle, A. C. (1986). The Boscombe Valley mystery. In Sherlock Holmes: The com plete novels and stories (Vol. 1). New York: Bantam.
     ■ Dreyfus, H., & S. Dreyfus (1986). Mind over machine. New York: Free Press.
     ■ Dreyfus, H. L. (1972). What computers can't do: The limits of artificial intelligence (revised ed.). New York: Harper & Row.
     ■ Dreyfus, H. L., & S. E. Dreyfus (1986). Mind over machine: The power of human intuition and expertise in the era of the computer. New York: Free Press.
     ■ Edelman, G. M. (1992). Bright air, brilliant fire: On the matter of the mind. New York: Basic Books.
     ■ Ehrenzweig, A. (1967). The hidden order of art. London: Weidenfeld & Nicolson.
     ■ Einstein, A., & L. Infeld (1938). The evolution of physics. New York: Simon & Schuster.
     ■ Eisenstein, S. (1947). Film sense. New York: Harcourt, Brace & World.
     ■ Everdell, W. R. (1997). The first moderns. Chicago: University of Chicago Press.
     ■ Eysenck, M. W. (1977). Human memory: Theory, research and individual difference. Oxford: Pergamon.
     ■ Eysenck, M. W. (1982). Attention and arousal: Cognition and performance. Berlin: Springer.
     ■ Eysenck, M. W. (1984). A handbook of cognitive psychology. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Fancher, R. E. (1979). Pioneers of psychology. New York: W. W. Norton.
     ■ Farrell, B. A. (1981). The standing of psychoanalysis. New York: Oxford University Press.
     ■ Feldman, D. H. (1980). Beyond universals in cognitive development. Norwood, NJ: Ablex.
     ■ Fetzer, J. H. (1996). Philosophy and cognitive science (2nd ed.). New York: Paragon House.
     ■ Finke, R. A. (1990). Creative imagery: Discoveries and inventions in visualization. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Flanagan, O. (1991). The science of the mind. Cambridge MA: MIT Press/Bradford Books.
     ■ Fodor, J. (1983). The modularity of mind. Cambridge, MA: MIT Press/Bradford Books.
     ■ Frege, G. (1972). Conceptual notation. T. W. Bynum (Trans.). Oxford: Clarendon Press. (Originally published in 1879.)
     ■ Frege, G. (1979). Logic. In H. Hermes, F. Kambartel & F. Kaulbach (Eds.), Gottlob Frege: Posthumous writings. Chicago: University of Chicago Press. (Originally published in 1879-1891.)
     ■ Freud, S. (1959). Creative writers and day-dreaming. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 9, pp. 143-153). London: Hogarth Press.
     ■ Freud, S. (1966). Project for a scientific psychology. In J. Strachey (Ed.), The stan dard edition of the complete psychological works of Sigmund Freud (Vol. 1, pp. 295-398). London: Hogarth Press. (Originally published in 1950 as Aus den AnfaЁngen der Psychoanalyse, in London by Imago Publishing.)
     ■ Freud, S. (1976). Lecture 18-Fixation to traumas-the unconscious. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 16, p. 285). London: Hogarth Press.
     ■ Galileo, G. (1990). Il saggiatore [The assayer]. In S. Drake (Ed.), Discoveries and opinions of Galileo. New York: Anchor Books. (Originally published in 1623.)
     ■ Gassendi, P. (1970). Letter to Descartes. In "Objections and replies." In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 2, pp. 179-240). Cambridge: Cambridge University Press. (Originally published in 1641.)
     ■ Gazzaniga, M. S. (1988). Mind matters: How mind and brain interact to create our conscious lives. Boston: Houghton Mifflin in association with MIT Press/Bradford Books.
     ■ Genesereth, M. R., & N. J. Nilsson (1987). Logical foundations of artificial intelligence. Palo Alto, CA: Morgan Kaufmann.
     ■ Ghiselin, B. (1952). The creative process. New York: Mentor.
     ■ Ghiselin, B. (1985). The creative process. Berkeley, CA: University of California Press. (Originally published in 1952.)
     ■ Gilhooly, K. J. (1996). Thinking: Directed, undirected and creative (3rd ed.). London: Academic Press.
     ■ Glass, A. L., K. J. Holyoak & J. L. Santa (1979). Cognition. Reading, MA: AddisonWesley.
     ■ Goody, J. (1977). The domestication of the savage mind. Cambridge: Cambridge University Press.
     ■ Gruber, H. E. (1980). Darwin on man: A psychological study of scientific creativity (2nd ed.). Chicago: University of Chicago Press.
     ■ Gruber, H. E., & S. Davis (1988). Inching our way up Mount Olympus: The evolving systems approach to creative thinking. In R. J. Sternberg (Ed.), The nature of creativity: Contemporary psychological perspectives. Cambridge: Cambridge University Press.
     ■ Guthrie, E. R. (1972). The psychology of learning. New York: Harper. (Originally published in 1935.)
     ■ Habermas, J. (1972). Knowledge and human interests. Boston: Beacon Press.
     ■ Hadamard, J. (1945). The psychology of invention in the mathematical field. Princeton, NJ: Princeton University Press.
     ■ Hand, D. J. (1985). Artificial intelligence and psychiatry. Cambridge: Cambridge University Press.
     ■ Harris, M. (1981). The language myth. London: Duckworth.
     ■ Haugeland, J. (Ed.) (1981). Mind design: Philosophy, psychology, artificial intelligence. Cambridge, MA: MIT Press/Bradford Books.
     ■ Haugeland, J. (1981a). The nature and plausibility of cognitivism. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 243-281). Cambridge, MA: MIT Press.
     ■ Haugeland, J. (1981b). Semantic engines: An introduction to mind design. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 1-34). Cambridge, MA: MIT Press/Bradford Books.
     ■ Haugeland, J. (1985). Artificial intelligence: The very idea. Cambridge, MA: MIT Press.
     ■ Hawkes, T. (1977). Structuralism and semiotics. Berkeley: University of California Press.
     ■ Hebb, D. O. (1949). The organisation of behaviour. New York: Wiley.
     ■ Hebb, D. O. (1958). A textbook of psychology. Philadelphia: Saunders.
     ■ Hegel, G.W.F. (1910). The phenomenology of mind. J. B. Baille (Trans.). London: Sonnenschein. (Originally published as Phaenomenologie des Geistes, 1807.)
     ■ Heisenberg, W. (1958). Physics and philosophy. New York: Harper & Row.
     ■ Hempel, C. G. (1966). Philosophy of natural science. Englewood Cliffs, NJ: PrenticeHall.
     ■ Herman, A. (1997). The idea of decline in Western history. New York: Free Press.
     ■ Herrnstein, R. J., & E. G. Boring (Eds.) (1965). A source book in the history of psy chology. Cambridge, MA: Harvard University Press.
     ■ Herzmann, E. (1964). Mozart's creative process. In P. H. Lang (Ed.), The creative world of Mozart (pp. 17-30). London: Oldbourne Press.
     ■ Hilgard, E. R. (1957). Introduction to psychology. London: Methuen.
     ■ Hobbes, T. (1651). Leviathan. London: Crooke.
     ■ Hofstadter, D. R. (1979). Goedel, Escher, Bach: An eternal golden braid. New York: Basic Books.
     ■ Holliday, S. G., & M. J. Chandler (1986). Wisdom: Explorations in adult competence. Basel, Switzerland: Karger.
     ■ Horn, J. L. (1986). In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 3). Hillsdale, NJ: Erlbaum.
     ■ Hull, C. (1943). Principles of behavior. New York: Appleton-Century-Crofts.
     ■ Hume, D. (1955). An inquiry concerning human understanding. New York: Liberal Arts Press. (Originally published in 1748.)
     ■ Hume, D. (1975). An enquiry concerning human understanding. In L. A. SelbyBigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (Spelling and punctuation revised.) (Originally published in 1748.)
     ■ Hume, D. (1978). A treatise of human nature. L. A. Selby-Bigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (With some modifications of spelling and punctuation.) (Originally published in 1690.)
     ■ Hunt, E. (1973). The memory we must have. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language. (pp. 343-371) San Francisco: W. H. Freeman.
     ■ Husserl, E. (1960). Cartesian meditations. The Hague: Martinus Nijhoff.
     ■ Inhelder, B., & J. Piaget (1958). The growth of logical thinking from childhood to adolescence. New York: Basic Books. (Originally published in 1955 as De la logique de l'enfant a` la logique de l'adolescent. [Paris: Presses Universitaire de France])
     ■ James, W. (1890a). The principles of psychology (Vol. 1). New York: Dover Books.
     ■ James, W. (1890b). The principles of psychology. New York: Henry Holt.
     ■ Jevons, W. S. (1900). The principles of science (2nd ed.). London: Macmillan.
     ■ Johnson, G. (1986). Machinery of the mind: Inside the new science of artificial intelli gence. New York: Random House.
     ■ Johnson, M. L. (1988). Mind, language, machine. New York: St. Martin's Press.
     ■ Johnson-Laird, P. N. (1983). Mental models: Toward a cognitive science of language, inference, and consciousness. Cambridge, MA: Harvard University Press.
     ■ Johnson-Laird, P. N. (1988). The computer and the mind: An introduction to cognitive science. Cambridge, MA: Harvard University Press.
     ■ Jones, E. (1961). The life and work of Sigmund Freud. L. Trilling & S. Marcus (Eds.). London: Hogarth.
     ■ Jones, R. V. (1985). Complementarity as a way of life. In A. P. French & P. J. Kennedy (Eds.), Niels Bohr: A centenary volume. Cambridge, MA: Harvard University Press.
     ■ Kant, I. (1933). Critique of Pure Reason (2nd ed.). N. K. Smith (Trans.). London: Macmillan. (Originally published in 1781 as Kritik der reinen Vernunft.)
     ■ Kant, I. (1891). Solution of the general problems of the Prolegomena. In E. Belfort (Trans.), Kant's Prolegomena. London: Bell. (With minor modifications.) (Originally published in 1783.)
     ■ Katona, G. (1940). Organizing and memorizing: Studies in the psychology of learning and teaching. New York: Columbia University Press.
     ■ Kaufman, A. S. (1979). Intelligent testing with the WISC-R. New York: Wiley.
     ■ Koestler, A. (1964). The act of creation. New York: Arkana (Penguin).
     ■ Kohlberg, L. (1971). From is to ought. In T. Mischel (Ed.), Cognitive development and epistemology. (pp. 151-235) New York: Academic Press.
     ■ KoЁhler, W. (1925). The mentality of apes. New York: Liveright.
     ■ KoЁhler, W. (1927). The mentality of apes (2nd ed.). Ella Winter (Trans.). London: Routledge & Kegan Paul.
     ■ KoЁhler, W. (1930). Gestalt psychology. London: G. Bell.
     ■ KoЁhler, W. (1947). Gestalt psychology. New York: Liveright.
     ■ KoЁhler, W. (1969). The task of Gestalt psychology. Princeton, NJ: Princeton University Press.
     ■ Kuhn, T. (1970). The structure of scientific revolutions (2nd ed.). Chicago: University of Chicago Press.
     ■ Langer, E. J. (1989). Mindfulness. Reading, MA: Addison-Wesley.
     ■ Langer, S. (1962). Philosophical sketches. Baltimore: Johns Hopkins University Press.
     ■ Langley, P., H. A. Simon, G. L. Bradshaw & J. M. Zytkow (1987). Scientific dis covery: Computational explorations of the creative process. Cambridge, MA: MIT Press.
     ■ Lashley, K. S. (1951). The problem of serial order in behavior. In L. A. Jeffress (Ed.), Cerebral mechanisms in behavior, the Hixon Symposium (pp. 112-146) New York: Wiley.
     ■ LeDoux, J. E., & W. Hirst (1986). Mind and brain: Dialogues in cognitive neuroscience. Cambridge: Cambridge University Press.
     ■ Lehnert, W. (1978). The process of question answering. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Leiber, J. (1991). Invitation to cognitive science. Oxford: Blackwell.
     ■ Lenat, D. B., & G. Harris (1978). Designing a rule system that searches for scientific discoveries. In D. A. Waterman & F. Hayes-Roth (Eds.), Pattern directed inference systems (pp. 25-52) New York: Academic Press.
     ■ Levenson, T. (1995). Measure for measure: A musical history of science. New York: Touchstone. (Originally published in 1994.)
     ■ Leґvi-Strauss, C. (1963). Structural anthropology. C. Jacobson & B. Grundfest Schoepf (Trans.). New York: Basic Books. (Originally published in 1958.)
     ■ Levine, M. W., & J. M. Schefner (1981). Fundamentals of sensation and perception. London: Addison-Wesley.
     ■ Lewis, C. I. (1946). An analysis of knowledge and valuation. LaSalle, IL: Open Court.
     ■ Lighthill, J. (1972). A report on artificial intelligence. Unpublished manuscript, Science Research Council.
     ■ Lipman, M., A. M. Sharp & F. S. Oscanyan (1980). Philosophy in the classroom. Philadelphia: Temple University Press.
     ■ Lippmann, W. (1965). Public opinion. New York: Free Press. (Originally published in 1922.)
     ■ Locke, J. (1956). An essay concerning human understanding. Chicago: Henry Regnery Co. (Originally published in 1690.)
     ■ Locke, J. (1975). An essay concerning human understanding. P. H. Nidditch (Ed.). Oxford: Clarendon. (Originally published in 1690.) (With spelling and punctuation modernized and some minor modifications of phrasing.)
     ■ Lopate, P. (1994). The art of the personal essay. New York: Doubleday/Anchor Books.
     ■ Lorimer, F. (1929). The growth of reason. London: Kegan Paul. Machlup, F., & U. Mansfield (Eds.) (1983). The study of information. New York: Wiley.
     ■ Manguel, A. (1996). A history of reading. New York: Viking.
     ■ Margolis, H. (1987). Patterns, thinking, and cognition. Chicago: University of Chicago Press.
     ■ Markey, J. F. (1928). The symbolic process. London: Kegan Paul.
     ■ Martin, R. M. (1969). On Ziff's "Natural and formal languages." In S. Hook (Ed.), Language and philosophy: A symposium (pp. 249-263). New York: New York University Press.
     ■ Mazlish, B. (1993). The fourth discontinuity: the co- evolution of humans and machines. New Haven, CT: Yale University Press.
     ■ McCarthy, J., & P. J. Hayes (1969). Some philosophical problems from the standpoint of artificial intelligence. In B. Meltzer & D. Michie (Eds.), Machine intelligence 4. Edinburgh: Edinburgh University Press.
     ■ McClelland, J. L., D. E. Rumelhart & G. E. Hinton (1986). The appeal of parallel distributed processing. In D. E. Rumelhart, J. L. McClelland & the PDP Research Group (Eds.), Parallel distributed processing: Explorations in the mi crostructure of cognition (Vol. 1, pp. 3-40). Cambridge, MA: MIT Press/ Bradford Books.
     ■ McCorduck, P. (1979). Machines who think. San Francisco: W. H. Freeman.
     ■ McLaughlin, T. (1970). Music and communication. London: Faber & Faber.
     ■ Mednick, S. A. (1962). The associative basis of the creative process. Psychological Review 69, 431-436.
     ■ Meehl, P. E., & C. J. Golden (1982). Taxometric methods. In Kendall, P. C., & Butcher, J. N. (Eds.), Handbook of research methods in clinical psychology (pp. 127-182). New York: Wiley.
     ■ Mehler, J., E.C.T. Walker & M. Garrett (Eds.) (1982). Perspectives on mental rep resentation: Experimental and theoretical studies of cognitive processes and ca pacities. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Mill, J. S. (1900). A system of logic, ratiocinative and inductive: Being a connected view of the principles of evidence and the methods of scientific investigation. London: Longmans, Green.
     ■ Miller, G. A. (1979, June). A very personal history. Talk to the Cognitive Science Workshop, Cambridge, MA.
     ■ Miller, J. (1983). States of mind. New York: Pantheon Books.
     ■ Minsky, M. (1975). A framework for representing knowledge. In P. H. Winston (Ed.), The psychology of computer vision (pp. 211-277). New York: McGrawHill.
     ■ Minsky, M., & S. Papert (1973). Artificial intelligence. Condon Lectures, Oregon State System of Higher Education, Eugene, Oregon.
     ■ Minsky, M. L. (1986). The society of mind. New York: Simon & Schuster.
     ■ Mischel, T. (1976). Psychological explanations and their vicissitudes. In J. K. Cole & W. J. Arnold (Eds.), Nebraska Symposium on motivation (Vol. 23). Lincoln, NB: University of Nebraska Press.
     ■ Morford, M.P.O., & R. J. Lenardon (1995). Classical mythology (5th ed.). New York: Longman.
     ■ Murdoch, I. (1954). Under the net. New York: Penguin.
     ■ Nagel, E. (1959). Methodological issues in psychoanalytic theory. In S. Hook (Ed.), Psychoanalysis, scientific method, and philosophy: A symposium. New York: New York University Press.
     ■ Nagel, T. (1979). Mortal questions. London: Cambridge University Press.
     ■ Nagel, T. (1986). The view from nowhere. Oxford: Oxford University Press.
     ■ Neisser, U. (1967). Cognitive psychology. New York: Appleton-Century-Crofts.
     ■ Neisser, U. (1972). Changing conceptions of imagery. In P. W. Sheehan (Ed.), The function and nature of imagery (pp. 233-251). London: Academic Press.
     ■ Neisser, U. (1976). Cognition and reality. San Francisco: W. H. Freeman.
     ■ Neisser, U. (1978). Memory: What are the important questions? In M. M. Gruneberg, P. E. Morris & R. N. Sykes (Eds.), Practical aspects of memory (pp. 3-24). London: Academic Press.
     ■ Neisser, U. (1979). The concept of intelligence. In R. J. Sternberg & D. K. Detterman (Eds.), Human intelligence: Perspectives on its theory and measurement (pp. 179-190). Norwood, NJ: Ablex.
     ■ Nersessian, N. (1992). How do scientists think? Capturing the dynamics of conceptual change in science. In R. N. Giere (Ed.), Cognitive models of science (pp. 3-44). Minneapolis: University of Minnesota Press.
     ■ Newell, A. (1973a). Artificial intelligence and the concept of mind. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 1-60). San Francisco: W. H. Freeman.
     ■ Newell, A. (1973b). You can't play 20 questions with nature and win. In W. G. Chase (Ed.), Visual information processing (pp. 283-310). New York: Academic Press.
     ■ Newell, A., & H. A. Simon (1963). GPS: A program that simulates human thought. In E. A. Feigenbaum & J. Feldman (Eds.), Computers and thought (pp. 279-293). New York & McGraw-Hill.
     ■ Newell, A., & H. A. Simon (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.
     ■ Nietzsche, F. (1966). Beyond good and evil. W. Kaufmann (Trans.). New York: Vintage. (Originally published in 1885.)
     ■ Nilsson, N. J. (1971). Problem- solving methods in artificial intelligence. New York: McGraw-Hill.
     ■ Nussbaum, M. C. (1978). Aristotle's Princeton University Press. De Motu Anamalium. Princeton, NJ:
     ■ Oersted, H. C. (1920). Thermo-electricity. In Kirstine Meyer (Ed.), H. C. Oersted, Natuurvidenskabelige Skrifter (Vol. 2). Copenhagen: n.p. (Originally published in 1830 in The Edinburgh encyclopaedia.)
     ■ Ong, W. J. (1982). Orality and literacy: The technologizing of the word. London: Methuen.
     ■ Onians, R. B. (1954). The origins of European thought. Cambridge, MA: Cambridge University Press.
     ■ Osgood, C. E. (1960). Method and theory in experimental psychology. New York: Oxford University Press. (Originally published in 1953.)
     ■ Osgood, C. E. (1966). Language universals and psycholinguistics. In J. H. Greenberg (Ed.), Universals of language (2nd ed., pp. 299-322). Cambridge, MA: MIT Press.
     ■ Palmer, R. E. (1969). Hermeneutics. Evanston, IL: Northwestern University Press.
     ■ Peirce, C. S. (1934). Some consequences of four incapacities-Man, a sign. In C. Hartsborne & P. Weiss (Eds.), Collected papers of Charles Saunders Peirce (Vol. 5, pp. 185-189). Cambridge, MA: Harvard University Press.
     ■ Penfield, W. (1959). In W. Penfield & L. Roberts, Speech and brain mechanisms. Princeton, NJ: Princeton University Press.
     ■ Penrose, R. (1994). Shadows of the mind: A search for the missing science of conscious ness. Oxford: Oxford University Press.
     ■ Perkins, D. N. (1981). The mind's best work. Cambridge, MA: Harvard University Press.
     ■ Peterfreund, E. (1986). The heuristic approach to psychoanalytic therapy. In
     ■ J. Reppen (Ed.), Analysts at work, (pp. 127-144). Hillsdale, NJ: Analytic Press.
     ■ Piaget, J. (1952). The origin of intelligence in children. New York: International Universities Press. (Originally published in 1936.)
     ■ Piaget, J. (1954). Le langage et les opeґrations intellectuelles. Proble` mes de psycho linguistique. Symposium de l'Association de Psychologie Scientifique de Langue Francёaise. Paris: Presses Universitaires de France.
     ■ Piaget, J. (1977). Problems of equilibration. In H. E. Gruber & J. J. Voneche (Eds.), The essential Piaget (pp. 838-841). London: Routlege & Kegan Paul. (Originally published in 1975 as L'eґquilibration des structures cognitives [Paris: Presses Universitaires de France].)
     ■ Piaget, J., & B. Inhelder. (1973). Memory and intelligence. New York: Basic Books.
     ■ Pinker, S. (1994). The language instinct. New York: Morrow.
     ■ Pinker, S. (1996). Facts about human language relevant to its evolution. In J.-P. Changeux & J. Chavaillon (Eds.), Origins of the human brain. A symposium of the Fyssen foundation (pp. 262-283). Oxford: Clarendon Press. Planck, M. (1949). Scientific autobiography and other papers. F. Gaynor (Trans.). New York: Philosophical Library.
     ■ Planck, M. (1990). Wissenschaftliche Selbstbiographie. W. Berg (Ed.). Halle, Germany: Deutsche Akademie der Naturforscher Leopoldina.
     ■ Plato (1892). Meno. In The Dialogues of Plato (B. Jowett, Trans.; Vol. 2). New York: Clarendon. (Originally published circa 380 B.C.)
     ■ Poincareґ, H. (1913). Mathematical creation. In The foundations of science. G. B. Halsted (Trans.). New York: Science Press.
     ■ Poincareґ, H. (1921). The foundations of science: Science and hypothesis, the value of science, science and method. G. B. Halstead (Trans.). New York: Science Press.
     ■ Poincareґ, H. (1929). The foundations of science: Science and hypothesis, the value of science, science and method. New York: Science Press.
     ■ Poincareґ, H. (1952). Science and method. F. Maitland (Trans.) New York: Dover.
     ■ Polya, G. (1945). How to solve it. Princeton, NJ: Princeton University Press.
     ■ Polanyi, M. (1958). Personal knowledge. London: Routledge & Kegan Paul.
     ■ Popper, K. (1968). Conjectures and refutations: The growth of scientific knowledge. New York: Harper & Row/Basic Books.
     ■ Popper, K., & J. Eccles (1977). The self and its brain. New York: Springer-Verlag.
     ■ Popper, K. R. (1959). The logic of scientific discovery. London: Hutchinson.
     ■ Putnam, H. (1975). Mind, language and reality: Philosophical papers (Vol. 2). Cambridge: Cambridge University Press.
     ■ Putnam, H. (1987). The faces of realism. LaSalle, IL: Open Court.
     ■ Pylyshyn, Z. W. (1981). The imagery debate: Analog media versus tacit knowledge. In N. Block (Ed.), Imagery (pp. 151-206). Cambridge, MA: MIT Press.
     ■ Pylyshyn, Z. W. (1984). Computation and cognition: Towards a foundation for cog nitive science. Cambridge, MA: MIT Press/Bradford Books.
     ■ Quillian, M. R. (1968). Semantic memory. In M. Minsky (Ed.), Semantic information processing (pp. 216-260). Cambridge, MA: MIT Press.
     ■ Quine, W.V.O. (1960). Word and object. Cambridge, MA: Harvard University Press.
     ■ Rabbitt, P.M.A., & S. Dornic (Eds.). Attention and performance (Vol. 5). London: Academic Press.
     ■ Rawlins, G.J.E. (1997). Slaves of the Machine: The quickening of computer technology. Cambridge, MA: MIT Press/Bradford Books.
     ■ Reid, T. (1970). An inquiry into the human mind on the principles of common sense. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 151-178). New York: Random House/Modern Library.
     ■ Reitman, W. (1970). What does it take to remember? In D. A. Norman (Ed.), Models of human memory (pp. 470-510). London: Academic Press.
     ■ Ricoeur, P. (1974). Structure and hermeneutics. In D. I. Ihde (Ed.), The conflict of interpretations: Essays in hermeneutics (pp. 27-61). Evanston, IL: Northwestern University Press.
     ■ Robinson, D. N. (1986). An intellectual history of psychology. Madison: University of Wisconsin Press.
     ■ Rorty, R. (1979). Philosophy and the mirror of nature. Princeton, NJ: Princeton University Press.
     ■ Rosch, E. (1977). Human categorization. In N. Warren (Ed.), Studies in cross cultural psychology (Vol. 1, pp. 1-49) London: Academic Press.
     ■ Rosch, E. (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 27-48). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Rosch, E., & B. B. Lloyd (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Rose, S. (1970). The chemistry of life. Baltimore: Penguin Books.
     ■ Rose, S. (1976). The conscious brain (updated ed.). New York: Random House.
     ■ Rose, S. (1993). The making of memory: From molecules to mind. New York: Anchor Books. (Originally published in 1992)
     ■ Roszak, T. (1994). The cult of information: A neo- Luddite treatise on high- tech, artificial intelligence, and the true art of thinking (2nd ed.). Berkeley: University of California Press.
     ■ Royce, J. R., & W. W. Rozeboom (Eds.) (1972). The psychology of knowing. New York: Gordon & Breach.
     ■ Rumelhart, D. E. (1977). Introduction to human information processing. New York: Wiley.
     ■ Rumelhart, D. E. (1980). Schemata: The building blocks of cognition. In R. J. Spiro, B. Bruce & W. F. Brewer (Eds.), Theoretical issues in reading comprehension. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Rumelhart, D. E., & J. L. McClelland (1986). On learning the past tenses of English verbs. In J. L. McClelland & D. E. Rumelhart (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition (Vol. 2). Cambridge, MA: MIT Press.
     ■ Rumelhart, D. E., P. Smolensky, J. L. McClelland & G. E. Hinton (1986). Schemata and sequential thought processes in PDP models. In J. L. McClelland, D. E. Rumelhart & the PDP Research Group (Eds.), Parallel Distributed Processing (Vol. 2, pp. 7-57). Cambridge, MA: MIT Press.
     ■ Russell, B. (1927). An outline of philosophy. London: G. Allen & Unwin.
     ■ Russell, B. (1961). History of Western philosophy. London: George Allen & Unwin.
     ■ Russell, B. (1965). How I write. In Portraits from memory and other essays. London: Allen & Unwin.
     ■ Russell, B. (1992). In N. Griffin (Ed.), The selected letters of Bertrand Russell (Vol. 1), The private years, 1884- 1914. Boston: Houghton Mifflin. Ryecroft, C. (1966). Psychoanalysis observed. London: Constable.
     ■ Sagan, C. (1978). The dragons of Eden: Speculations on the evolution of human intel ligence. New York: Ballantine Books.
     ■ Salthouse, T. A. (1992). Expertise as the circumvention of human processing limitations. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.
     ■ Sanford, A. J. (1987). The mind of man: Models of human understanding. New Haven, CT: Yale University Press.
     ■ Sapir, E. (1921). Language. New York: Harcourt, Brace, and World.
     ■ Sapir, E. (1964). Culture, language, and personality. Berkeley: University of California Press. (Originally published in 1941.)
     ■ Sapir, E. (1985). The status of linguistics as a science. In D. G. Mandelbaum (Ed.), Selected writings of Edward Sapir in language, culture and personality (pp. 160166). Berkeley: University of California Press. (Originally published in 1929).
     ■ Scardmalia, M., & C. Bereiter (1992). Literate expertise. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.
     ■ Schafer, R. (1954). Psychoanalytic interpretation in Rorschach testing. New York: Grune & Stratten.
     ■ Schank, R. C. (1973). Identification of conceptualizations underlying natural language. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 187-248). San Francisco: W. H. Freeman.
     ■ Schank, R. C. (1976). The role of memory in language processing. In C. N. Cofer (Ed.), The structure of human memory. (pp. 162-189) San Francisco: W. H. Freeman.
     ■ Schank, R. C. (1986). Explanation patterns: Understanding mechanically and creatively. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Schank, R. C., & R. P. Abelson (1977). Scripts, plans, goals, and understanding. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ SchroЁdinger, E. (1951). Science and humanism. Cambridge: Cambridge University Press.
     ■ Searle, J. R. (1981a). Minds, brains, and programs. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 282-306). Cambridge, MA: MIT Press.
     ■ Searle, J. R. (1981b). Minds, brains and programs. In D. Hofstadter & D. Dennett (Eds.), The mind's I (pp. 353-373). New York: Basic Books.
     ■ Searle, J. R. (1983). Intentionality. New York: Cambridge University Press.
     ■ Serres, M. (1982). The origin of language: Biology, information theory, and thermodynamics. M. Anderson (Trans.). In J. V. Harari & D. F. Bell (Eds.), Hermes: Literature, science, philosophy (pp. 71-83). Baltimore: Johns Hopkins University Press.
     ■ Simon, H. A. (1966). Scientific discovery and the psychology of problem solving. In R. G. Colodny (Ed.), Mind and cosmos: Essays in contemporary science and philosophy (pp. 22-40). Pittsburgh: University of Pittsburgh Press.
     ■ Simon, H. A. (1979). Models of thought. New Haven, CT: Yale University Press.
     ■ Simon, H. A. (1989). The scientist as a problem solver. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert Simon. Hillsdale, N.J.: Lawrence Erlbaum Associates.
     ■ Simon, H. A., & C. Kaplan (1989). Foundations of cognitive science. In M. Posner (Ed.), Foundations of cognitive science (pp. 1-47). Cambridge, MA: MIT Press.
     ■ Simonton, D. K. (1988). Creativity, leadership and chance. In R. J. Sternberg (Ed.), The nature of creativity. Cambridge: Cambridge University Press.
     ■ Skinner, B. F. (1974). About behaviorism. New York: Knopf.
     ■ Smith, E. E. (1988). Concepts and thought. In J. Sternberg & E. E. Smith (Eds.), The psychology of human thought (pp. 19-49). Cambridge: Cambridge University Press.
     ■ Smith, E. E. (1990). Thinking: Introduction. In D. N. Osherson & E. E. Smith (Eds.), Thinking. An invitation to cognitive science. (Vol. 3, pp. 1-2). Cambridge, MA: MIT Press.
     ■ Socrates. (1958). Meno. In E. H. Warmington & P. O. Rouse (Eds.), Great dialogues of Plato W.H.D. Rouse (Trans.). New York: New American Library. (Original publication date unknown.)
     ■ Solso, R. L. (1974). Theories of retrieval. In R. L. Solso (Ed.), Theories in cognitive psychology. Potomac, MD: Lawrence Erlbaum Associates.
     ■ Spencer, H. (1896). The principles of psychology. New York: Appleton-CenturyCrofts.
     ■ Steiner, G. (1975). After Babel: Aspects of language and translation. New York: Oxford University Press.
     ■ Sternberg, R. J. (1977). Intelligence, information processing, and analogical reasoning. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Sternberg, R. J. (1994). Intelligence. In R. J. Sternberg, Thinking and problem solving. San Diego: Academic Press.
     ■ Sternberg, R. J., & J. E. Davidson (1985). Cognitive development in gifted and talented. In F. D. Horowitz & M. O'Brien (Eds.), The gifted and talented (pp. 103-135). Washington, DC: American Psychological Association.
     ■ Storr, A. (1993). The dynamics of creation. New York: Ballantine Books. (Originally published in 1972.)
     ■ Stumpf, S. E. (1994). Philosophy: History and problems (5th ed.). New York: McGraw-Hill.
     ■ Sulloway, F. J. (1996). Born to rebel: Birth order, family dynamics, and creative lives. New York: Random House/Vintage Books.
     ■ Thorndike, E. L. (1906). Principles of teaching. New York: A. G. Seiler.
     ■ Thorndike, E. L. (1970). Animal intelligence: Experimental studies. Darien, CT: Hafner Publishing Co. (Originally published in 1911.)
     ■ Titchener, E. B. (1910). A textbook of psychology. New York: Macmillan.
     ■ Titchener, E. B. (1914). A primer of psychology. New York: Macmillan.
     ■ Toulmin, S. (1957). The philosophy of science. London: Hutchinson.
     ■ Tulving, E. (1972). Episodic and semantic memory. In E. Tulving & W. Donaldson (Eds.), Organisation of memory. London: Academic Press.
     ■ Turing, A. (1946). In B. E. Carpenter & R. W. Doran (Eds.), ACE reports of 1946 and other papers. Cambridge, MA: MIT Press.
     ■ Turkle, S. (1984). Computers and the second self: Computers and the human spirit. New York: Simon & Schuster.
     ■ Tyler, S. A. (1978). The said and the unsaid: Mind, meaning, and culture. New York: Academic Press.
     ■ van Heijenoort (Ed.) (1967). From Frege to Goedel. Cambridge: Harvard University Press.
     ■ Varela, F. J. (1984). The creative circle: Sketches on the natural history of circularity. In P. Watzlawick (Ed.), The invented reality (pp. 309-324). New York: W. W. Norton.
     ■ Voltaire (1961). On the Penseґs of M. Pascal. In Philosophical letters (pp. 119-146). E. Dilworth (Trans.). Indianapolis: Bobbs-Merrill.
     ■ Wagman, M. (1997a). Cognitive science and the symbolic operations of human and artificial intelligence: Theory and research into the intellective processes. Westport, CT: Praeger.
     ■ Wagman, M. (1997b). The general unified theory of intelligence: Central conceptions and specific application to domains of cognitive science. Westport, CT: Praeger.
     ■ Wagman, M. (1998a). Cognitive science and the mind- body problem: From philosophy to psychology to artificial intelligence to imaging of the brain. Westport, CT: Praeger.
     ■ Wagman, M. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. Westport, CT: Praeger.
     ■ Wall, R. (1972). Introduction to mathematical linguistics. Englewood Cliffs, NJ: Prentice-Hall.
     ■ Wallas, G. (1926). The Art of Thought. New York: Harcourt, Brace & Co.
     ■ Wason, P. (1977). Self contradictions. In P. Johnson-Laird & P. Wason (Eds.), Thinking: Readings in cognitive science. Cambridge: Cambridge University Press.
     ■ Wason, P. C., & P. N. Johnson-Laird. (1972). Psychology of reasoning: Structure and content. Cambridge, MA: Harvard University Press.
     ■ Watson, J. (1930). Behaviorism. New York: W. W. Norton.
     ■ Watzlawick, P. (1984). Epilogue. In P. Watzlawick (Ed.), The invented reality. New York: W. W. Norton, 1984.
     ■ Weinberg, S. (1977). The first three minutes: A modern view of the origin of the uni verse. New York: Basic Books.
     ■ Weisberg, R. W. (1986). Creativity: Genius and other myths. New York: W. H. Freeman.
     ■ Weizenbaum, J. (1976). Computer power and human reason: From judgment to cal culation. San Francisco: W. H. Freeman.
     ■ Wertheimer, M. (1945). Productive thinking. New York: Harper & Bros.
     ■ Whitehead, A. N. (1925). Science and the modern world. New York: Macmillan.
     ■ Whorf, B. L. (1956). In J. B. Carroll (Ed.), Language, thought and reality: Selected writings of Benjamin Lee Whorf. Cambridge, MA: MIT Press.
     ■ Whyte, L. L. (1962). The unconscious before Freud. New York: Anchor Books.
     ■ Wiener, N. (1954). The human use of human beings. Boston: Houghton Mifflin.
     ■ Wiener, N. (1964). God & Golem, Inc.: A comment on certain points where cybernetics impinges on religion. Cambridge, MA: MIT Press.
     ■ Winograd, T. (1972). Understanding natural language. New York: Academic Press.
     ■ Winston, P. H. (1987). Artificial intelligence: A perspective. In E. L. Grimson & R. S. Patil (Eds.), AI in the 1980s and beyond (pp. 1-12). Cambridge, MA: MIT Press.
     ■ Winston, P. H. (Ed.) (1975). The psychology of computer vision. New York: McGrawHill.
     ■ Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.
     ■ Wittgenstein, L. (1958). The blue and brown books. New York: Harper Colophon.
     ■ Woods, W. A. (1975). What's in a link: Foundations for semantic networks. In D. G. Bobrow & A. Collins (Eds.), Representations and understanding: Studies in cognitive science (pp. 35-84). New York: Academic Press.
     ■ Woodworth, R. S. (1938). Experimental psychology. New York: Holt; London: Methuen (1939).
     ■ Wundt, W. (1904). Principles of physiological psychology (Vol. 1). E. B. Titchener (Trans.). New York: Macmillan.
     ■ Wundt, W. (1907). Lectures on human and animal psychology. J. E. Creighton & E. B. Titchener (Trans.). New York: Macmillan.
     ■ Young, J. Z. (1978). Programs of the brain. New York: Oxford University Press.
     ■ Ziman, J. (1978). Reliable knowledge: An exploration of the grounds for belief in science. Cambridge: Cambridge University Press.

    Historical dictionary of quotations in cognitive science > Bibliography

  • 15 planta

    f.
    1 plant (vegetal).
    planta de interior house plant
    2 plant.
    planta depuradora purification plant
    planta desalinizadora desalination plant
    planta de envase o envasadora packaging plant
    planta de montaje assembly plant
    3 floor (piso).
    4 sole.
    5 industrial plant, plant, works.
    6 top view, ground plan.
    7 sole of the foot, sole.
    pres.indicat.
    3rd person singular (él/ella/ello) present indicative of spanish verb: plantar.
    imperat.
    2nd person singular (tú) Imperative of Spanish verb: plantar.
    * * *
    1 BOTÁNICA plant
    2 (del pie) sole
    4 (industrial) plant
    \
    de nueva planta brand-new
    tener buena planta to be good-looking
    planta baja ground floor, US first floor
    * * *
    noun f.
    3) sole
    * * *
    I
    SF (Bot) plant

    planta de interior — indoor plant, houseplant

    II
    SF
    1) (=piso) floor

    planta bajaground o (EEUU) first floor

    2) (Arquit) (=plano) ground plan
    3) (tb: planta del pie) the sole of the foot

    asentar sus plantas eniró to install o.s. in

    4) (=aspecto)
    5) (=fábrica) plant

    planta potabilizadorawaterworks sing, water treatment plant

    6) (Baile, Esgrima) position (of the feet)
    7) (=plan) plan, programme, program (EEUU), scheme
    * * *
    1) (Bot) plant
    2) (Arquit)
    a) ( plano) plan
    b) ( piso) floor

    primera/tercera planta — second/fourth floor (AmE), first/third floor (BrE)

    3) (Tec) ( instalación) plant
    4) ( del pie) sole
    5) (tipo, apariencia)
    6) ( de empleados) staff
    * * *
    1) (Bot) plant
    2) (Arquit)
    a) ( plano) plan
    b) ( piso) floor

    primera/tercera planta — second/fourth floor (AmE), first/third floor (BrE)

    3) (Tec) ( instalación) plant
    4) ( del pie) sole
    5) (tipo, apariencia)
    6) ( de empleados) staff
    * * *
    planta1
    1 = plant.
    Nota: Biología.

    Ex: Concepts which denote parts of a plant, eg leaf, flower, etc, are also Personality concepts.

    * cesta colgante para plantas = hanging basket.
    * ciencias de las plantas = plant science(s).
    * dársele a Uno bien las plantas = have + a green thumb, have + green fingers.
    * planta acuática = aquatic plant.
    * planta anual = annual.
    * planta aromática = aromatic plant.
    * planta autóctona = indigenous plant.
    * planta bienal = biennial.
    * planta carnívora = carnivorous plant.
    * planta de floración = flowering plant.
    * planta de hoja perenne = evergreen plant, evergreen.
    * planta de interior = houseplant.
    * planta de jardín = garden plant.
    * planta de semillero = seedling.
    * planta joven = seedling.
    * planta madre = rootstock.
    * planta medicinal = medicinal plant.
    * planta ornamental = ornamental plant, ornamental.
    * planta ornamental de arriate = bedding plant.
    * planta ornamental exterior = bedding plant.
    * planta perenne = perennial.
    * planta que echa flores = bloomer.
    * planta resistente a las heladas = hardy-annual.
    * planta subtropical = subtropical plant.
    * planta trepadora = vine.
    * planta tropical = tropical plant.
    * planta vascular = vascular plant, vascular plant.
    * tener buena mano con las plantas = have + a green thumb, have + green fingers.

    planta2
    2 = floor, level, storey [story, -USA], story [storey, -UK].

    Ex: The library, which is of split-level design on 2 floors, includes a lending collection, children's library, study area, and audio-visual section.

    Ex: The other rooms on the third, second and first levels have a mixture of stacking chairs with writing board arms.
    Ex: The library is situated on the top two floors of a six storey building.
    Ex: The vista of main street shows in addition to the jumble and squeeze of shops, a 12- story skyscraper, several impressive banks, and a few elderly housing units.
    * bloque de muchas plantas = high-rise building.
    * casa de tres plantas = three-storeyed house.
    * con varias plantas = multi-storey [multistorey/multistory].
    * de dos plantas = two-storey [two-story].
    * de + Número + plantas = Número + story.
    * enfermera de planta = bedside nurse.
    * en varias plantas = multi-storey [multistorey/multistory].
    * planta baja = lower level, ground floor.
    * planta del pie = sole.

    planta3
    3 = plant.

    Ex: The author describes the approach and its application to 2 different processes: coffee roasting and decaffeination in a Nestle plant.

    * planta de automóviles = automotive plant.
    * planta de cemento = cement plant.
    * planta de embotellado = bottler.
    * planta de envasado = bottler.
    * planta de fundición = smelting plant.
    * planta de laminación de acero = steel mill.
    * planta de montaje = assembly plant.
    * planta de secado = drying plant.
    * planta de tratamiento de aguas residuales = sewage plant, sewage treatment plant.
    * planta embotelladora = bottler.
    * planta envasadora = bottler.
    * planta industrial = industrial plant.
    * planta nuclear = nuclear power station, nuclear power plant.
    * planta química = chemical plant.
    * planta siderúrgica = steel works [steelworks].

    * * *
    A ( Bot) plant
    Compuestos:
    houseplant, indoor plant
    tobacco plant
    oxygenator
    B ( Arquit)
    1 (plano) plan
    la planta y el alzado de un edificio the ground plan and elevation of a building
    2 (piso) floor
    primera/tercera planta second/fourth floor ( AmE), first/third floor ( BrE)
    una casa de dos plantas a two-story* house
    grandes ofertas en la planta de señoras big savings in the ladies' fashion department
    Compuesto:
    first floor ( AmE), ground floor ( BrE)
    C ( Tec) (instalación) plant
    una planta industrial an industrial plant
    una planta eléctrica an electricity generating plant, power plant ( AmE), power station ( BrE)
    Compuestos:
    sewage treatment plant
    recycling plant
    planta de reprocesamiento or reprocesado
    reprocessing plant
    food processing plant
    D (del pie) sole
    asentar sus plantas en un lugar to make oneself at home
    E
    (tipo, apariencia): de buena planta fine-looking
    un animal de magnífica planta a magnificent beast
    nuestra planta de profesores our teaching staff
    la planta de obreros de la empresa the company's work force
    * * *

     

    Del verbo plantar: ( conjugate plantar)

    planta es:

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

    2ª persona singular (tú) imperativo

    Multiple Entries:
    planta    
    plantar
    planta sustantivo femenino
    1 (Bot) plant;

    2 (Arquit)
    a) ( plano) plan

    b) ( piso) floor;


    planta baja first floor (AmE), ground floor (BrE)
    3 (Tec) ( instalación) plant
    4 ( del pie) sole
    plantar ( conjugate plantar) verbo transitivo
    1
    a)árboles/cebollas to plant

    b) postes to put in;

    tienda to pitch, put up
    2 (fam)
    a) ( abandonar) ‹ novio to ditch (colloq), to dump (colloq);

    estudios to give up, to quit (AmE)
    b) ( dejar plantado) ‹ persona› ( en cita) to stand … up;

    ( el día de la boda) to jilt
    plantarse verbo pronominal
    1 (fam) (quedarse, pararse) to plant oneself (colloq)
    2 (Jueg) (en cartas, apuesta) to stick
    planta sustantivo femenino
    1 Bot plant
    planta trepadora, climbing plant
    2 (piso) floor: está en la tercera planta, it's on the third floor
    planta baja, ground floor, US first floor
    un edificio de tres plantas, a three-storey building, US a three-story building
    3 (del pie) sole
    4 (constitución, aspecto) el novio tiene muy buena planta, the groom is very handsome
    plantar verbo transitivo
    1 Bot Agr to plant: plantaremos todo el jardín de jazmines, we'll plant the whole garden with jasmines
    2 (una cosa) to put, place
    3 (los estudios, un trabajo) to quit, give up
    4 (a una persona) to dump, ditch
    dejar a alguien plantado, to stand sb up
    5 (dar) to give, plant
    ♦ Locuciones: plantar cara (a alguien), to stand up (to sb)
    ' planta' also found in these entries:
    Spanish:
    alcaparra
    - arrancar
    - café
    - central
    - chalet
    - cruzar
    - cultivo
    - directoria I
    - directorio
    - fructífera
    - fructífero
    - gomero
    - hechura
    - lacia
    - lacio
    - lechosa
    - lechoso
    - lozana
    - lozano
    - oferta
    - pimiento
    - pinchar
    - pincho
    - piso
    - poner
    - prender
    - púa
    - raquítica
    - raquítico
    - regar
    - requerir
    - resistente
    - seca
    - secarse
    - seco
    - segunda
    - segundo
    - soja
    - talle
    - tercera
    - tercero
    - yute
    - abrasar
    - achicharrar
    - agarrar
    - anís
    - anual
    - arraigar
    - bajo
    - brotar
    English:
    above
    - annual
    - biennial
    - climb
    - creep
    - curative
    - cut back
    - diseased
    - downstairs
    - evergreen
    - first
    - floor
    - floor plan
    - flourish
    - flowering
    - foul
    - ground floor
    - grow
    - hardy
    - host
    - hybrid
    - indoor
    - lush
    - luxuriant
    - nurture
    - oregano
    - plant
    - poisonous
    - potted
    - prickly
    - pull up
    - rank
    - revive
    - seedling
    - shoot up
    - shrivel
    - sole
    - stake
    - stalk
    - stem
    - sting
    - straggle
    - tear up
    - thrive
    - trail
    - train
    - venomous
    - water
    - water plant
    - waterworks
    * * *
    planta nf
    1. [vegetal] plant
    planta acuática aquatic plant;
    planta anual annual;
    planta de interior house plant, indoor plant;
    planta medicinal medicinal plant;
    planta perenne perennial;
    planta transgénica transgenic plant;
    planta trepadora climbing plant
    2. [fábrica] plant
    planta depuradora purification plant;
    planta desaladora de agua desalination plant;
    planta desalinizadora desalination plant;
    planta envasadora packaging plant;
    planta de envase packaging plant;
    RP planta faenadora de reses abattoir;
    planta de montaje assembly plant;
    planta de reciclaje recycling plant;
    planta de tratamiento de residuos waste treatment plant
    3. [piso] floor;
    planta baja Br ground floor, US first floor;
    planta primera Br first floor, US second floor
    4. [plano] plan;
    un templo de planta rectangular a temple built on a rectangular plan;
    de nueva planta brand new
    5. [del pie] sole
    6. Comp
    tener buena planta to be good-looking
    * * *
    f
    1 BOT plant
    2 ( piso) floor;
    * * *
    planta nf
    1) : plant
    planta de interior: houseplant
    2) fábrica: plant, factory
    3) piso: floor, story
    4) : staff, employees pl
    5) : sole (of the foot)
    * * *
    1. (flor) plant
    2. (piso) floor

    Spanish-English dictionary > planta

  • 16 colisión de los continentes

    Ex. This digital tapestry outlines the geologic story of continental collision and break-up, mountain-building, river erosion and deposition, glaciation, volcanism, and other events and processes that have shaped the region.
    * * *

    Ex: This digital tapestry outlines the geologic story of continental collision and break-up, mountain-building, river erosion and deposition, glaciation, volcanism, and other events and processes that have shaped the region.

    Spanish-English dictionary > colisión de los continentes

  • 17 erosión de los ríos

    Ex. This digital tapestry outlines the geologic story of continental collision and break-up, mountain-building, river erosion and deposition, glaciation, volcanism, and other events and processes that have shaped the region.
    * * *

    Ex: This digital tapestry outlines the geologic story of continental collision and break-up, mountain-building, river erosion and deposition, glaciation, volcanism, and other events and processes that have shaped the region.

    Spanish-English dictionary > erosión de los ríos

  • 18 escribir

    v.
    to write.
    hace mucho que no me escribe she hasn't written to me for a long time
    todavía no ha aprendido a escribir he still hasn't learned (how) to write
    escribir a lápiz to write in pencil
    escribir a mano to write by hand
    * * *
    (pp escrito,-a)
    1 (gen) to write
    2 (deletrear) to spell, write
    1 to write
    1 (deletrear) to spell, be spelt
    ¿cómo se escribe? how do you spell it?
    2 (uso recíproco) to write to each other
    \
    escribir a mano to write in longhand, write by hand
    * * *
    verb
    * * *
    ( pp escrito)
    1. VT VI
    1) [+ palabra, texto] to write

    el que esto escribe[gen] the present writer; (Prensa) this correspondent

    2) [en ortografía] to spell

    "voy" se escribe con "v" — "voy" is spelled with a "v"

    ¿cómo se escribe eso? — how is that spelled?, how do you spell that?

    3) [+ cheque] to write out, make out
    4) [+ música] to compose, write
    2.
    See:
    * * *
    1.
    verbo transitivo
    1)
    a) ( anotar) to write
    b) ( ser autor de) <libro/canción/carta> to write
    2.
    escribir vi to write

    nunca le escribeshe never writes him (AmE) o (BrE) writes to him

    3.
    escribirse v pron (recípr)
    * * *
    = put down, set down, spell, tap out, transcribe, type, write, write down, write up, pen, put + pen to paper, set + pen to paper, register in, drop + a line, script, take down.
    Ex. Any individual might engage in different information managament activities aimed at putting down new information through writing, glossing, assembling or extracting, and so forth.
    Ex. Set the components down as an ordered string of symbols, according to the filing value of the role operator.
    Ex. For instance: rhyme is still RIME; gypsy is spelled G-I-P -- most of us are instructed to spell it 'g-y-p'.
    Ex. When the user is building a trail, he names it, inserts the name in his code book, and taps it out on his keyboard.
    Ex. With a limited number of exceptions the title proper is transcribed exactly as to order, wording and spelling.
    Ex. To start Bibliofile just type 'bib' at the DOS prompt as shown below, then press < Enter>.
    Ex. A paraphrase is an interpretation of the concepts featured in a document, written in the language of the writer of the paraphrase.
    Ex. On other occasions, where the search must be specified with a number of interacting concepts and other parameters, it will be necessary to write the concepts down.
    Ex. Statistical research into ILL is valuable but can cause problems unless written up well for a more general audience.
    Ex. His career in composition produced some of the most idiomatic and popular short violin pieces ever penned.
    Ex. Some writers of fiction write because they cannot do otherwise they have an almost uncontrollable urge to put pen to paper or finger to keyboard.
    Ex. Once pen was set to paper, the graphic record superseded the need to retain large amounts of information within human memory.
    Ex. Authors must register in their own name and not a pseudonym or maiden name under which the book may be written.
    Ex. The article 'E-mail: turn on, tune in, drop a line...' gives a brief outline of the commands used on the electronic mail system Data-Mail.
    Ex. The program was designed and scripted using the Apple Macintosh computer with HyperCard software.
    Ex. All technical processes that take place before, during and directly after the flight are taken down automatically by the flight recorder in the cockpit.
    ----
    * arte de escribir = penmanship.
    * arte y técnica de escribir obras de teatro = playwriting.
    * brazo de silla para escribir = writing board arm.
    * capacidad de saber leer y escribir = literacy skills.
    * en el momento de escribir estas líneas = at the time of writing.
    * escribir a mano = handletter.
    * escribir a máquina = type.
    * escribir como negro = ghost, ghosting.
    * escribir con sentido = write + sense.
    * escribir con tiza = chalk.
    * escribir en coautoría = co-author [coauthor].
    * escribir en colaboración = co-write [cowrite].
    * escribir mal = misspell.
    * escribir mucho sobre Algo = a lot + be written about, much + be written about.
    * escribir rápidamente = dash off.
    * escribir un artículo = write + a paper, write + piece.
    * escribir un trabajo = write + essay.
    * forma de escribir = writing style.
    * máquina de escribir = typewriter.
    * máquina de escribir de margarita = daisy-wheel typewriter.
    * máquina de escribir de pelota de golf = golf-ball typewriter.
    * máquina de escribir eléctrica = electric typewriter, electronic typewriter.
    * papel de escribir = writing paper.
    * para escribir con mayúsculas = in a shifted position.
    * posicionado para escribir con mayúsculas = unshifted.
    * saber leer y escribir = be literate.
    * sala de escribir = scriptorium [scriptoria, -pl.].
    * sobreescribir = type over.
    * tecla para escribir en mayúsculas = SHIFT key.
    * volver a escribir = retype [re-type], rewrite [re-write].
    * * *
    1.
    verbo transitivo
    1)
    a) ( anotar) to write
    b) ( ser autor de) <libro/canción/carta> to write
    2.
    escribir vi to write

    nunca le escribeshe never writes him (AmE) o (BrE) writes to him

    3.
    escribirse v pron (recípr)
    * * *
    = put down, set down, spell, tap out, transcribe, type, write, write down, write up, pen, put + pen to paper, set + pen to paper, register in, drop + a line, script, take down.

    Ex: Any individual might engage in different information managament activities aimed at putting down new information through writing, glossing, assembling or extracting, and so forth.

    Ex: Set the components down as an ordered string of symbols, according to the filing value of the role operator.
    Ex: For instance: rhyme is still RIME; gypsy is spelled G-I-P -- most of us are instructed to spell it 'g-y-p'.
    Ex: When the user is building a trail, he names it, inserts the name in his code book, and taps it out on his keyboard.
    Ex: With a limited number of exceptions the title proper is transcribed exactly as to order, wording and spelling.
    Ex: To start Bibliofile just type 'bib' at the DOS prompt as shown below, then press < Enter>.
    Ex: A paraphrase is an interpretation of the concepts featured in a document, written in the language of the writer of the paraphrase.
    Ex: On other occasions, where the search must be specified with a number of interacting concepts and other parameters, it will be necessary to write the concepts down.
    Ex: Statistical research into ILL is valuable but can cause problems unless written up well for a more general audience.
    Ex: His career in composition produced some of the most idiomatic and popular short violin pieces ever penned.
    Ex: Some writers of fiction write because they cannot do otherwise they have an almost uncontrollable urge to put pen to paper or finger to keyboard.
    Ex: Once pen was set to paper, the graphic record superseded the need to retain large amounts of information within human memory.
    Ex: Authors must register in their own name and not a pseudonym or maiden name under which the book may be written.
    Ex: The article 'E-mail: turn on, tune in, drop a line...' gives a brief outline of the commands used on the electronic mail system Data-Mail.
    Ex: The program was designed and scripted using the Apple Macintosh computer with HyperCard software.
    Ex: All technical processes that take place before, during and directly after the flight are taken down automatically by the flight recorder in the cockpit.
    * arte de escribir = penmanship.
    * arte y técnica de escribir obras de teatro = playwriting.
    * brazo de silla para escribir = writing board arm.
    * capacidad de saber leer y escribir = literacy skills.
    * en el momento de escribir estas líneas = at the time of writing.
    * escribir a mano = handletter.
    * escribir a máquina = type.
    * escribir como negro = ghost, ghosting.
    * escribir con sentido = write + sense.
    * escribir con tiza = chalk.
    * escribir en coautoría = co-author [coauthor].
    * escribir en colaboración = co-write [cowrite].
    * escribir mal = misspell.
    * escribir mucho sobre Algo = a lot + be written about, much + be written about.
    * escribir rápidamente = dash off.
    * escribir un artículo = write + a paper, write + piece.
    * escribir un trabajo = write + essay.
    * forma de escribir = writing style.
    * máquina de escribir = typewriter.
    * máquina de escribir de margarita = daisy-wheel typewriter.
    * máquina de escribir de pelota de golf = golf-ball typewriter.
    * máquina de escribir eléctrica = electric typewriter, electronic typewriter.
    * papel de escribir = writing paper.
    * para escribir con mayúsculas = in a shifted position.
    * posicionado para escribir con mayúsculas = unshifted.
    * saber leer y escribir = be literate.
    * sala de escribir = scriptorium [scriptoria, -pl.].
    * sobreescribir = type over.
    * tecla para escribir en mayúsculas = SHIFT key.
    * volver a escribir = retype [re-type], rewrite [re-write].

    * * *
    vt
    A
    1 (anotar) to write
    escribe el resultado aquí write the answer here
    escríbelo antes de que se te olvide write it down before you forget it
    lo escribió con tiza en la puerta she chalked it on the door
    había algunos comentarios escritos con lápiz en el margen somebody had penciled in some comments o had written some comments in pencil in the margin
    escribe esta frase cien veces write this sentence out one hundred times
    2 (ser autor de) ‹libro/canción/carta› to write
    esta victoria escribe una nueva página de nuestra historia with this victory a new chapter has been written in our history
    3 (Inf) ‹programa› to write
    B ( pas)
    (deletrear): se escribe como se pronuncia it's written o spelled as it's pronounced
    no sé cómo se escribe su apellido I don't know how you spell his surname
    estas palabras se escriben sin acento these words are written without an accent, these words don't have an accent
    ■ escribir
    vi
    to write
    no sabe leer ni escribir she can't read or write
    mi hermano nunca me escribe my brother never writes me ( AmE) o ( BrE) writes to me
    nos escribimos desde hace años we've been writing to each other o we've been corresponding for years
    escribirse CON algn:
    me escribo con ella we write to each other
    se escribe con un peruano she has a Peruvian penfriend o penpal
    * * *

     

    escribir ( conjugate escribir) verbo transitivo
    1


    b) ( ser autor de) ‹libro/canción/carta to write

    2 ( ortográficamente) to write;

    no sé cómo se escribe I don't know how you spell it;
    se escribe sin acento it's written without an accent
    verbo intransitivo
    to write;
    nunca le escribe she never writes him (AmE) o (BrE) writes to him;

    escribir a máquina to type
    escribirse verbo pronominal ( recípr): me escribo con ella we write to each other;
    se escribe con un peruano she has a Peruvian penfriend o penpal
    escribir verbo transitivo to write
    (a máquina, en el ordenador) to type

    ' escribir' also found in these entries:
    Spanish:
    absoluta
    - absoluto
    - anotar
    - apuntar
    - carro
    - cinta
    - de
    - decidirse
    - don
    - escritura
    - gustar
    - letra
    - máquina
    - margarita
    - número
    - pluma
    - tabulador
    - teclado
    - teclear
    - velocidad
    - acentuar
    - comer
    - dictado
    - dorso
    - garabatear
    - maquinilla
    - plumilla
    - poner
    - rodillo
    - tinta
    English:
    antiquated
    - chalk
    - contribute
    - daisywheel
    - formality
    - inspiration
    - intend
    - keep
    - literate
    - make out
    - neatly
    - paint in
    - pen
    - print
    - put
    - quill pen
    - spell
    - toss off
    - type
    - typewriter
    - waffle
    - write
    - write in
    - write out
    - writing
    - can
    - dash
    - get
    - loss
    - review
    - rewrite
    - skill
    - state
    - stencil
    - whichever
    - writer
    * * *
    vt
    1. [carta, novela, canción] to write;
    le escribí una carta I wrote him a letter, I wrote a letter to him;
    escribió unas notas a lápiz she wrote some notes in pencil;
    escriba las instrucciones en un papel write the instructions on a piece of paper;
    se ha escrito mucho sobre este tema much has been written on this subject;
    ha escrito una página brillante en la historia del ciclismo he has added a glorious page to cycling history
    2. [a persona, institución] to write;
    hace mucho que no me escribe she hasn't written to me for a long time;
    nos han escrito muchos oyentes protestando many listeners have written in complaining;
    ¡escríbenos cuando llegues! write to us when you get there!;
    escribir a casa to write home
    vi
    to write;
    todavía no ha aprendido a escribir he still hasn't learnt (how) to write;
    escribe muy mal y no se le entiende nada he has terrible handwriting and you can't understand a word of it;
    escribir a lápiz to write in pencil;
    escribir a mano to write by hand;
    ¡no te olvides de escribir! don't forget to write!
    * * *
    <part escrito>
    I v/t
    1 write;
    escribir a mano hand-write, write by hand;
    2 ( deletrear) spell
    II v/i write
    * * *
    escribir {33} v
    1) : to write
    2) : to spell
    * * *
    1. (en general) to write [pt. wrote; pp. written]
    2. (deletrear) to spell [pt. & pp. spelt]
    ¿sabes escribirlo? can you spell it?
    ¿cómo se escribe? how do you spell it?
    3. (pintar) to work / to write [pt. wrote; pp. written]

    Spanish-English dictionary > escribir

  • 19 glaciación

    f.
    glaciation.
    * * *
    1 glaciation
    * * *
    * * *
    femenino glaciation
    * * *
    = glaciation, ice age.
    Ex. This digital tapestry outlines the geologic story of continental collision and break-up, mountain-building, river erosion and deposition, glaciation, volcanism, and other events and processes that have shaped the region.
    Ex. A bewildering array of information devices must now be exploited as effectively as books were during the ice age of librarianship.
    * * *
    femenino glaciation
    * * *
    = glaciation, ice age.

    Ex: This digital tapestry outlines the geologic story of continental collision and break-up, mountain-building, river erosion and deposition, glaciation, volcanism, and other events and processes that have shaped the region.

    Ex: A bewildering array of information devices must now be exploited as effectively as books were during the ice age of librarianship.

    * * *
    glaciation
    * * *

    glaciación sustantivo femenino galciation
    * * *
    1. [periodo] ice age
    2. [proceso] glaciation
    * * *
    f GEOL glaciation

    Spanish-English dictionary > glaciación

  • 20 sedimentación de los ríos

    Ex. This digital tapestry outlines the geologic story of continental collision and break-up, mountain-building, river erosion and deposition, glaciation, volcanism, and other events and processes that have shaped the region.
    * * *

    Ex: This digital tapestry outlines the geologic story of continental collision and break-up, mountain-building, river erosion and deposition, glaciation, volcanism, and other events and processes that have shaped the region.

    Spanish-English dictionary > sedimentación de los ríos

См. также в других словарях:

  • Building Information Modeling — (BIM) is the process of generating and managing building data during its life cycle [Lee, G., Sacks, R., and Eastman, C. M. (2006). Specifying parametric building object behavior (BOB) for a building information modeling system. Automation in… …   Wikipedia

  • Building officials — of developed countries are generally referred to as administering building control systems that are mostly defined in statute. According to World Organisation of Building Officials, there were two distinct levels of building officials: (1) the… …   Wikipedia

  • Building information modeling — (BIM) is the process of generating and managing building data during its life cycle[1]. BIM involves representing a design as objects – vague and undefined, generic or product specific, solid shapes or void space oriented (like the shape of a… …   Wikipedia

  • building construction — Techniques and industry involved in the assembly and erection of structures. Early humans built primarily for shelter, using simple methods. Building materials came from the land, and fabrication was dictated by the limits of the materials and… …   Universalium

  • Building society — Nationwide Building Society is the UK s and the world s largest building society A building society is a financial institution owned by its members as a mutual organization. Building societies offer banking and related financial services,… …   Wikipedia

  • Building engineering education — Education in the field of Building Engineering, better known as Architectural Engineering in the United States, is the study of the integrated application of engineering principles and technology to building design and architecture. For… …   Wikipedia

  • Building insulation materials — A selection of insulation materials can aid in building insulation. All of these are based on standard principles of thermal insulation. Materials used to reduce heat transfer by conduction, radiation or convection are employed in varying… …   Wikipedia

  • Building Industry Association of Washington — The Building Industry Association of Washington or BIAW is a Washington State section 501(c) non profit organization[1] formed in 1966 to represent the housing industry in the state of Washington against government interests to regulate their… …   Wikipedia

  • Building a Better Business — Infobox Book name = Building a Better Business title orig = translator = image caption = author = Patrick Dixon illustrator = cover artist = country = UK language = English series = subject = business management genre = publisher = Profile Books …   Wikipedia

  • State-building — is a term used in state theory. It describes the construction of a functioning state. This concept was first used in connection to the creation of states in Western Europe and focused on the power enforcement of state in society (Tilly 1975).… …   Wikipedia

  • New-construction building commissioning — Building commissioning is the process of verifying, in new construction, that all the subsystems for HVAC, plumbing, electrical, fire/life safety, building envelopes, interior systems (example laboratory units), cogeneration, utility plants,… …   Wikipedia

Поделиться ссылкой на выделенное

Прямая ссылка:
Нажмите правой клавишей мыши и выберите «Копировать ссылку»