Systems Structures And Components

 

системы, конструкции и компоненты
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• systems, structures and components
• SSC

 

конструкции, системы и элементы
КСЭ
Общий термин, охватывающий все компоненты (узлы) установки или деятельности, которые вносят вклад в защиту и безопасность, кроме человеческих факторов. Конструкции являются пассивными элементами: здания, корпуса, защитные экраны и т.п. Система состоит из нескольких элементов, смонтированных таким образом, чтобы выполнять конкретную (активную) функцию. Элемент представляет собой отдельный компонент системы. Примерами являются провода, транзисторы, интегральные схемы, двигатели, реле, соленоиды, трубопроводы, арматура, насосы, резервуары и клапаны. См. также компоненты активной зоны. конструкция structure. См. конструкции, системы и элементы.
[Глоссарий МАГАТЭ по вопросам безопасности]

Тематики

• МАГАТЭ

Синонимы

• КСЭ

EN

• structures, systems and components
• SSCs

1) Общая лексика: Secondary School Certificate (Bangladesh), Small-scale contingency (http://www.globalsecurity.org/military/ops/ssc.htm)

2) Биология: sodium chloride + sodium citrate

3) Медицина: side scatter (проточная цитометрия)

4) Американизм: Short Service Commission

5) Латинский язык: Societas Sanctae Crucis

6) Военный термин: Coastal Submarine, SAGE sector commander, Sea Systems Command, Signal Support Company, Silent Sneaky Communications, Slow Survivable Combat, Soldier Support Center, Space Surveillance Center, Surface Support Craft, secondary strike capacity, senior service college, short service commissions, site selection criteria, software support center, special security command, squadron supervisory console, squadron support center, standard systems center, stores stock catalog, supply and service company, supply status code, supply support center, systems support center

7) Техника: SCSI-3 stream commands, Space Shuttle computer, safe shutdown component, sensor signal conditioner, shipboard satellite communications system, short segmented cask, simulated surveillance capsule, single-silk covered, solid-state circuit, space suit communicator, spacecraft system console, standing steering committee, super system code, sync source control, датчик SSC (устанавливается в пазах статора)

8) Сельское хозяйство: The Seed Swap Club

9) Железнодорожный термин: Southern Switching Company

10) Юридический термин: Safety Security And Communications, Safety Service Center

11) Экономика: Shared Services Centers, Общие центры обслуживания

12) Страхование: Social Security Commission

13) Грубое выражение: Safe Sane Consensual, Submissive Sensual Correction

14) Дипломатический термин: diesel-powered cruise missile submarine

15) Оптика: superconducting supercollider

16) Телекоммуникации: Service Shortcut Changer

17) Сокращение: (type abbreviation) Submarine, coastal, Solicitor to the Supreme Court, Solid-state Scanner, Staff Selection Committee, Standard Systems Centre, State Services Commission, Superconducting Super Collider

18) Университет: Science Standardization Committee, Speaking Society Club, Student Success Celebration

19) Физиология: Size, Shape, and Consistency

20) Вычислительная техника: Specialized Systems Consultants, Security Support Component (NGSCB, TCP), SCSI Stream Commands (SAM, SCSI)

21) Нефть: sulphide stress corrosion

22) Генетика: Раствор цитрата и хлорида натрия (применяемый в ряде генетических методик (например, при С-бэндинге); 2SSC - 17,5 г NaCl и 8,8 г Na3C6H5O72H2O на 1 л воды)

23) Иммунология: боковое светорассеяние

24) Космонавтика: Stellar Simulation Complex, Swedish Space Corporation

25) Банковское дело: сертификат мелкого вкладчика (США; small saver certificate)

26) Транспорт: Speed Spin And Control

27) Фирменный знак: South Sea Company

28) СМИ: Short Story Collection, Silent Speaker Chamber

29) Деловая лексика: Systems Structures And Components

30) Образование: School Site Council

31) Инвестиции: small saver certificate

32) Сетевые технологии: Secured Smartcard Channel, Structure Server Component

33) Программирование: Slot Size Code

34) Контроль качества: Supplier Support Committee

35) Сахалин Р: ( Offshore) Statutory Safety Committee

36) Сахалин Ю: sulphide stress cracking

37) Сахалин А: statutory safety committee

38) Химическое оружие: safety support contractor, site security center

39) SAP.тех. управление последовательностью экранов

40) Нефть и газ: sulfide stress corrosion cracking, подкомитет акционеров, shareholders' subcommittee

41) HR. Комиссия по отбору персонала (STAFF SELECTION COMMISSION)

42) Электротехника: single silk covered, solid state control, steady-state conditions

43) Фантастика Shattered Star Confederation

44) Снабжение: безопасность цепочки поставок (Security Supply Chain)

45) NYSE. Sunshine Mining & Refining Company

46) Международная торговля: Safe Sane And Consensual

1) Общая лексика: Secondary School Certificate (Bangladesh), Small-scale contingency (http://www.globalsecurity.org/military/ops/ssc.htm)

2) Биология: sodium chloride + sodium citrate

3) Медицина: side scatter (проточная цитометрия)

4) Американизм: Short Service Commission

5) Латинский язык: Societas Sanctae Crucis

6) Военный термин: Coastal Submarine, SAGE sector commander, Sea Systems Command, Signal Support Company, Silent Sneaky Communications, Slow Survivable Combat, Soldier Support Center, Space Surveillance Center, Surface Support Craft, secondary strike capacity, senior service college, short service commissions, site selection criteria, software support center, special security command, squadron supervisory console, squadron support center, standard systems center, stores stock catalog, supply and service company, supply status code, supply support center, systems support center

7) Техника: SCSI-3 stream commands, Space Shuttle computer, safe shutdown component, sensor signal conditioner, shipboard satellite communications system, short segmented cask, simulated surveillance capsule, single-silk covered, solid-state circuit, space suit communicator, spacecraft system console, standing steering committee, super system code, sync source control, датчик SSC (устанавливается в пазах статора)

8) Сельское хозяйство: The Seed Swap Club

9) Железнодорожный термин: Southern Switching Company

10) Юридический термин: Safety Security And Communications, Safety Service Center

11) Экономика: Shared Services Centers, Общие центры обслуживания

12) Страхование: Social Security Commission

13) Грубое выражение: Safe Sane Consensual, Submissive Sensual Correction

14) Дипломатический термин: diesel-powered cruise missile submarine

15) Оптика: superconducting supercollider

16) Телекоммуникации: Service Shortcut Changer

17) Сокращение: (type abbreviation) Submarine, coastal, Solicitor to the Supreme Court, Solid-state Scanner, Staff Selection Committee, Standard Systems Centre, State Services Commission, Superconducting Super Collider

18) Университет: Science Standardization Committee, Speaking Society Club, Student Success Celebration

19) Физиология: Size, Shape, and Consistency

20) Вычислительная техника: Specialized Systems Consultants, Security Support Component (NGSCB, TCP), SCSI Stream Commands (SAM, SCSI)

21) Нефть: sulphide stress corrosion

22) Генетика: Раствор цитрата и хлорида натрия (применяемый в ряде генетических методик (например, при С-бэндинге); 2SSC - 17,5 г NaCl и 8,8 г Na3C6H5O72H2O на 1 л воды)

23) Иммунология: боковое светорассеяние

24) Космонавтика: Stellar Simulation Complex, Swedish Space Corporation

25) Банковское дело: сертификат мелкого вкладчика (США; small saver certificate)

26) Транспорт: Speed Spin And Control

27) Фирменный знак: South Sea Company

28) СМИ: Short Story Collection, Silent Speaker Chamber

29) Деловая лексика: Systems Structures And Components

30) Образование: School Site Council

31) Инвестиции: small saver certificate

32) Сетевые технологии: Secured Smartcard Channel, Structure Server Component

33) Программирование: Slot Size Code

34) Контроль качества: Supplier Support Committee

35) Сахалин Р: ( Offshore) Statutory Safety Committee

36) Сахалин Ю: sulphide stress cracking

37) Сахалин А: statutory safety committee

38) Химическое оружие: safety support contractor, site security center

39) SAP.тех. управление последовательностью экранов

40) Нефть и газ: sulfide stress corrosion cracking, подкомитет акционеров, shareholders' subcommittee

41) HR. Комиссия по отбору персонала (STAFF SELECTION COMMISSION)

42) Электротехника: single silk covered, solid state control, steady-state conditions

43) Фантастика Shattered Star Confederation

44) Снабжение: безопасность цепочки поставок (Security Supply Chain)

45) NYSE. Sunshine Mining & Refining Company

46) Международная торговля: Safe Sane And Consensual

1. safe shutdown component - компонент безопасного останова (ядерного реактора);

2. SCSI-3 stream commands - потоковые команды SCSI-3;

3. sensor signal conditioner - блок преобразования сигналов датчика;

4. shipboard satellite communications system - корабельная спутниковая система связи;

5. short segmented cask - контейнер с малыми сегментами;

6. simulated surveillance capsule - смоделированная капсула для наблюдения;

7. single-silk covered - с однослойной шёлковой изоляцией;

8. sodium chloride + sodium citrate - раствор хлорида и цитрата натрия;

9. solid-state circuit - полупроводниковая схема;

10. Space Shuttle computer - компьютер многоразового воздушно-космического аппарата;

11. space suit communicator - устройство связи скафандра космонавта;

12. spacecraft system console - пульт управления системами космического аппарата;

13. standing steering committee - постоянный руководящий комитет;

14. super system code - программа суперсистемы;

15. sync source control - управление источниками синхронизации;

16. systems, structures and components - системы, конструкции и компоненты

 

компонент безопасного останова ядерного реактора
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• safe shutdown component
• SSC

 

контейнер с малообъёмными ячейками
(для радиоактивных отходов)
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• short segmented cask
• SSC

 

металлокерамический материал на основе твёрдого раствора
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• solid solution cermet
• SSC

 

модель отсека для контроля
(радиологического или радиометрического)
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• simulated surveillance capsule
• SSC

 

постоянный руководящий комитет
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• standing steering committee
• SSC

 

с однослойной шёлковой изоляцией (о проводе)
—
[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.]

Тематики

• электротехника, основные понятия

EN

• single silk covered
• SSC

 

системы, конструкции и компоненты
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• systems, structures and components
• SSC

 

удельный расход пара
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• steam rate
• SR
• steam flowrate
• specific steam consumption
• SSC

 

управление с использованием полупроводниковых приборов
—
[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.]

Тематики

• электротехника, основные понятия

EN

• solid state control
• SSC

 

циклотрон с разделёнными секторами
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• separated sector cyclotron
• SSC

3.10 сероводородное растрескивание под напряжением (sulfide stress cracking; SSC): Растрескивание металла под влиянием коррозии и растягивающих напряжений (остаточных и/или внешних) в присутствии воды и сероводорода.

Источник: ГОСТ Р 53679-2009: Нефтяная и газовая промышленность. Материалы для применения в средах, содержащих сероводород, при добыче нефти и газа. Часть 1. Общие принципы выбора материалов, стойких к растрескиванию оригинал документа

 

конструкции, системы и элементы
КСЭ
Общий термин, охватывающий все компоненты (узлы) установки или деятельности, которые вносят вклад в защиту и безопасность, кроме человеческих факторов. Конструкции являются пассивными элементами: здания, корпуса, защитные экраны и т.п. Система состоит из нескольких элементов, смонтированных таким образом, чтобы выполнять конкретную (активную) функцию. Элемент представляет собой отдельный компонент системы. Примерами являются провода, транзисторы, интегральные схемы, двигатели, реле, соленоиды, трубопроводы, арматура, насосы, резервуары и клапаны. См. также компоненты активной зоны. конструкция structure. См. конструкции, системы и элементы.
[Глоссарий МАГАТЭ по вопросам безопасности]

Тематики

• МАГАТЭ

Синонимы

• КСЭ

EN

• structures, systems and components
• SSCs

 

подуровень конвергенции, специфический для услуги
(МСЭ-Т Y.1452).
[ http://www.iks-media.ru/glossary/index.html?glossid=2400324]

Тематики

• электросвязь, основные понятия

EN

• service-specific convergence sublayer
• SSCS

 

подуровень конкретной конвергенции услуг
подслой сходимости конкретных услуг
—
[Л.Г.Суменко. Англо-русский словарь по информационным технологиям. М.: ГП ЦНИИС, 2003.]

Тематики

• информационные технологии в целом

Синонимы

• подслой сходимости конкретных услуг

EN

• service specific convergence sublayer
• SSCS

 

сигнал управления системой сигнализации
—
[Л.Г.Суменко. Англо-русский словарь по информационным технологиям. М.: ГП ЦНИИС, 2003.]

Тематики

• информационные технологии в целом

EN

• signalling system control signal
• SSCS

 

система управления с использованием полупроводниковых приборов
—
[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.]

Тематики

• электротехника, основные понятия

EN

• solid state control system
• SSCS

 

услуга управления, специфическая для службы
(МСЭ-Т Y.1310).
[ http://www.iks-media.ru/glossary/index.html?glossid=2400324]

Тематики

• электросвязь, основные понятия

EN

• service specific control service
• SSCS

   1) Programs and the Complexity of Human Mental Processes

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

   2) Artificial Intelligence Is an Engineering Discipline

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

   3) A Sceptical View of Artificial Intelligence

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

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

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

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

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

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

   6) The Meaning of a Symbolic Description

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

   7) The Principle of Artificial Intelligence

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

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

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

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

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

    10) There Are Many Types of Reasoning

   There are many different kinds of reasoning one might imagine:

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

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

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

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

    12) The Synthesis of Man and Machine

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

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

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

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

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

    15) Four Kinds of Artificial Intelligence

   We might distinguish among four kinds of AI.

   ♦ Nonpsychological AI

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

   ♦ Weak Psychological AI

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

   ♦ Strong Psychological AI

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

   ♦ Suprapsychological AI

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

    16) Determination of Relevance of Rules in Particular Contexts

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

    17) Form and Content Are Not Fundamentally Different

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

    18) The Assumption That the Mind Is a Formal System

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

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

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

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

    20) Mathematical Logic Provides the Basis for Theory in AI

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

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

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

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

    22) Definitions of Artificial Intelligence

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

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

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

    24) Computers Will Not Always Be Inferior to Human Brains

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

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

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

   2) Arranging Speech so as to Reply Appropriately

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

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

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

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

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

   5) Language Powerfully Conditions All Our Thinking

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

   6) A List of Language Games

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

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

   Solving a problem in practical arithmeticTranslating from one language into another

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

   7) Language Constrains Certain Modes of Interpretation

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

   8) We Dissect Nature in Accordance with Our Native Languages

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

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

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

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

    10) The Analysis of Certain Types of Utterances

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

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

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

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

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

    13) The Development of Language

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

    14) Sentential and Conceptual Levels in Language

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

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

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

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

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

    16) The Final Steps to Human Language

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

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

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

    18) When a Language Is an Abstract Machine

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

    19) Metaphor and Metonymy Underpin the Formation of Linguistic Signs

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

    20) Language and the Analysis of Nature

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

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

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

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

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

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

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

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

    24) The Genetic Blueprints of Language

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

    25) Languages Are Machines

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

1) Компьютерная техника: Communication Satellite for Experiment

2) Авиация: course set error

3) Американизм: Office of Child Support Enforcement

4) Военный термин: CC Support Element, Canadian SIGINT Establishment, Central Signal Establishment, Client Server Environment, Combined Services Entertainment, Command Support Element, Committee of Security Experts, Communi-cations Security Element, Communications Security Establishment, Critical Section Exclusion, combat support element, common support equipment, communications security equipment, communications support element, communications systems engineer, contingency security element, Center for Software Engineering (CECOM), Cryptologic Support Element (s)

5) Техника: certified systems engineer, check sum error, components and structures engineering, containment steam explosion, containment system experiment

6) Юридический термин: Child Support Enforcement, Connected Series Of Events

7) Бухгалтерия: A Council Of Social Education

8) Фармакология: контрольный стандартный эндотоксин ( Control Standard Endotoxin)

9) Биржевой термин: Calcutta Stock Exchange, Casablanca Stock Exchange, Chittagong Stock Exchange, Colombo Stock Exchange, Copenhagen Stock Exchange, Cyprus Stock Exchange

10) Сокращение: Certificate of Secondary Education, электрод сравнения из сульфата меди

11) Университет: Computer Science And Engineering, Computer Science Education

12) Физиология: Collaborative Sales Engine

13) Электроника: Control systems engineering department

14) Вычислительная техника: core storage element

15) Иммунология: contrasuppressor effector cell

16) Онкология: Common Sense Exam

17) Банковское дело: Фондовая биржа Цинциннати (США; Cincinnati Stock Exchange)

18) Пищевая промышленность: Corn Starch Emitter

19) Фирменный знак: Creative Sports Enterprises

20) Глоссарий компании Сахалин Энерджи: Confined Space Entry

21) Образование: (Committee on Special Education) Комитет по специальному образованию

22) Инвестиции: Cincinnati Stock Exchange

23) Сетевые технологии: Clustered System Environment, circuit switch exchange, control and switching equipment, аппаратура управления и коммуникации, центр коммутации каналов

24) Полимеры: control systems engineering

25) Ядерная физика: Containment Systems Experiment

26) Сахалин Р: Center of Social Expertise

27) Авиационная медицина: crew support equipment

28) Расширение файла: Certified System Engineer

29) Должность: Computer Science Engineering

1) Компьютерная техника: Communication Satellite for Experiment

2) Авиация: course set error

3) Американизм: Office of Child Support Enforcement

4) Военный термин: CC Support Element, Canadian SIGINT Establishment, Central Signal Establishment, Client Server Environment, Combined Services Entertainment, Command Support Element, Committee of Security Experts, Communi-cations Security Element, Communications Security Establishment, Critical Section Exclusion, combat support element, common support equipment, communications security equipment, communications support element, communications systems engineer, contingency security element, Center for Software Engineering (CECOM), Cryptologic Support Element (s)

5) Техника: certified systems engineer, check sum error, components and structures engineering, containment steam explosion, containment system experiment

6) Юридический термин: Child Support Enforcement, Connected Series Of Events

7) Бухгалтерия: A Council Of Social Education

8) Фармакология: контрольный стандартный эндотоксин ( Control Standard Endotoxin)

9) Биржевой термин: Calcutta Stock Exchange, Casablanca Stock Exchange, Chittagong Stock Exchange, Colombo Stock Exchange, Copenhagen Stock Exchange, Cyprus Stock Exchange

10) Сокращение: Certificate of Secondary Education, электрод сравнения из сульфата меди

11) Университет: Computer Science And Engineering, Computer Science Education

12) Физиология: Collaborative Sales Engine

13) Электроника: Control systems engineering department

14) Вычислительная техника: core storage element

15) Иммунология: contrasuppressor effector cell

16) Онкология: Common Sense Exam

17) Банковское дело: Фондовая биржа Цинциннати (США; Cincinnati Stock Exchange)

18) Пищевая промышленность: Corn Starch Emitter

19) Фирменный знак: Creative Sports Enterprises

20) Глоссарий компании Сахалин Энерджи: Confined Space Entry

21) Образование: (Committee on Special Education) Комитет по специальному образованию

22) Инвестиции: Cincinnati Stock Exchange

23) Сетевые технологии: Clustered System Environment, circuit switch exchange, control and switching equipment, аппаратура управления и коммуникации, центр коммутации каналов

24) Полимеры: control systems engineering

25) Ядерная физика: Containment Systems Experiment

26) Сахалин Р: Center of Social Expertise

27) Авиационная медицина: crew support equipment

28) Расширение файла: Certified System Engineer

29) Должность: Computer Science Engineering

   In a country with a chronic housing shortage, it is ironic that Portugal has preserved and restored one of Europe's finest collections of historic castles and palaces. For decades, well before the Revolution of 25 April 1974, Portugal has endured a shortage of decent, affordable housing, whether rented or purchased, as well as the growth of sprawling urban shantytowns outside Lisbon, Oporto, and smaller towns such as Estoril. Known as bairros da lata, literally, "neighborhoods or boroughs of tin," these poorly constructed dwellings lack electricity, water, or sewage systems. The flimsy buildings are made of any kind of building materials, including sheets of galvanized tin that serve as roofs, walls, and doors. As of the early 1980s, it was estimated that there were at least 700,000 illegally constructed buildings in Portugal, some 200,000 of which were in the greater Lisbon area, an example of the worst kind of urban sprawl. Many of these structures were built on unused private lands or on public lands.

   Even after Portugal's economy began to benefit from membership in the European Economic Community (EEC; later the European Union), a significant portion of housing remained substandard, whether in rural or urban areas. By the early 1990s, electrification in rural areas was still not complete, and running water and sewage systems were lacking. As of the early 21st century, improvement in housing has occurred, but with population growth and the arrival of migrants from Europe, Brazil, and former colonies in Africa, the basic components of a housing crisis persist: shortage of decent rental or purchased housings; persistent urban shantytowns, which in some areas have expanded; and substandard living conditions.

   A majority of the Portuguese people (60 percent; and in Lisbon and Oporto, 80 percent) rent their housing. Improving or expanding such rental housing has been challenging in part because of rigid recent control laws that, between 1948 and 1985, tended to discourage either the maintenance and improvement or the construction of apartments. In suburbs outside Lisbon, large apartment houses were built after 1980 for the more prosperous new urbanites, but, as in the past, the supply of good, affordable housing lagged behind demand. Many Portuguese governments confronted and engaged the housing problem, and some excellent reforms were instituted. The contemporary housing crisis nevertheless persists and, after 2007, was complicated by the worldwide economic crisis.

1. certified systems engineer - дипломированный инженер-системотехник;

2. check sum error - ошибка в контрольной сумме;

3. communications support element - элемент поддержки связи;

4. communications systems engineer - инженер систем связи;

5. components and structures engineering - конструирование компонентов и структур;

6. containment steam explosion - паровой взрыв в гермооболочке ядерного реактора;

7. containment system experiment - проведение эксперимента в гермооболочке ядерного реактора;

8. control and switching equipment - аппаратура управления и коммутации;

9. control systems engineering - технические средства систем управления;

10. core storage element - элемент запоминающего устройства на магнитных сердечниках