common task test

1) Спорт: Certified Technology Trainer

2) Военный термин: Combat Control Team, Commanders' Tactical Terminal, Common Test Training, Contractor Technical Test, cadet training team, central trunk terminals, combat tracking team, combined tactical trainer, common task test, common task training, communications tactical terminal

3) Техника: cask transfer tunnel, color-trace tube, communications technician, technical, compact tension test

4) Сокращение: Challenger Training Tank, Combat Tactics Trainer, Command Tactical Trainer, Command Team Training, Commander's Tactical Terminal, Comprehensive Tracing and Tracking (for Express Mail), card-to-tape tape, colour trace tube

5) Вычислительная техника: Cartridge Tape Transport, Character Translation Table

6) Нефть: consumer transport truck, грузовой автомобиль потребителя (consumer transport truck)

7) Банковское дело: налог на перевод капитала (capital transfer tax)

8) Бурение: грузовая автомашина потребителя (consumer transport truck)

9) Инвестиции: capital transfer tax

10) Сетевые технологии: Clear To Transmit

11) AMEX. Competitive Technologies, Inc.

1) Военный термин: Command Training Guidance, Component Tools Guide, carrier task group, combined task group, combined test group, commander, task group

2) Сокращение: Commander Task Group, Commander, Task Group (NATO), Commercial Travellers Guild, Common Tactical Grid, Compact Tank Gun (Switzerland), crating, cutting

3) СМИ: Czech Travel Guide

4) Чат: Can Talk Guns

5) NYSE. CTG Resources, Inc.

6) Аэропорты: Cartagena, Colombia

1) Военный термин: Command Training Guidance, Component Tools Guide, carrier task group, combined task group, combined test group, commander, task group

2) Сокращение: Commander Task Group, Commander, Task Group (NATO), Commercial Travellers Guild, Common Tactical Grid, Compact Tank Gun (Switzerland), crating, cutting

3) СМИ: Czech Travel Guide

4) Чат: Can Talk Guns

5) NYSE. CTG Resources, Inc.

6) Аэропорты: Cartagena, Colombia

   1) A Comparison of the Digital Computer and the Brain

   The brain has been compared to a digital computer because the neuron, like a switch or valve, either does or does not complete a circuit. But at that point the similarity ends. The switch in the digital computer is constant in its effect, and its effect is large in proportion to the total output of the machine. The effect produced by the neuron varies with its recovery from [the] refractory phase and with its metabolic state. The number of neurons involved in any action runs into millions so that the influence of any one is negligible.... Any cell in the system can be dispensed with.... The brain is an analogical machine, not digital. Analysis of the integrative activities will probably have to be in statistical terms. (Lashley, quoted in Beach, Hebb, Morgan & Nissen, 1960, p. 539)

   2) Computers Do Not Crunch Numbers, They Manipulate Symbols

   It is essential to realize that a computer is not a mere "number cruncher," or supercalculating arithmetic machine, although this is how computers are commonly regarded by people having no familiarity with artificial intelligence. Computers do not crunch numbers; they manipulate symbols.... Digital computers originally developed with mathematical problems in mind, are in fact general purpose symbol manipulating machines....

   The terms "computer" and "computation" are themselves unfortunate, in view of their misleading arithmetical connotations. The definition of artificial intelligence previously cited-"the study of intelligence as computation"-does not imply that intelligence is really counting. Intelligence may be defined as the ability creatively to manipulate symbols, or process information, given the requirements of the task in hand. (Boden, 1981, pp. 15, 16-17)

   3) Getting Computers to Explain Things to Themselves

   The task is to get computers to explain things to themselves, to ask questions about their experiences so as to cause those explanations to be forthcoming, and to be creative in coming up with explanations that have not been previously available. (Schank, 1986, p. 19)

   4) Some Limits of Artificial Intelligence

   In What Computers Can't Do, written in 1969 (2nd edition, 1972), the main objection to AI was the impossibility of using rules to select only those facts about the real world that were relevant in a given situation. The "Introduction" to the paperback edition of the book, published by Harper & Row in 1979, pointed out further that no one had the slightest idea how to represent the common sense understanding possessed even by a four-year-old. (Dreyfus & Dreyfus, 1986, p. 102)

   5) The Computer as a Humanizing Influence

   A popular myth says that the invention of the computer diminishes our sense of ourselves, because it shows that rational thought is not special to human beings, but can be carried on by a mere machine. It is a short stop from there to the conclusion that intelligence is mechanical, which many people find to be an affront to all that is most precious and singular about their humanness.

   In fact, the computer, early in its career, was not an instrument of the philistines, but a humanizing influence. It helped to revive an idea that had fallen into disrepute: the idea that the mind is real, that it has an inner structure and a complex organization, and can be understood in scientific terms. For some three decades, until the 1940s, American psychology had lain in the grip of the ice age of behaviorism, which was antimental through and through. During these years, extreme behaviorists banished the study of thought from their agenda. Mind and consciousness, thinking, imagining, planning, solving problems, were dismissed as worthless for anything except speculation. Only the external aspects of behavior, the surface manifestations, were grist for the scientist's mill, because only they could be observed and measured....

   It is one of the surprising gifts of the computer in the history of ideas that it played a part in giving back to psychology what it had lost, which was nothing less than the mind itself. In particular, there was a revival of interest in how the mind represents the world internally to itself, by means of knowledge structures such as ideas, symbols, images, and inner narratives, all of which had been consigned to the realm of mysticism. (Campbell, 1989, p. 10)

   6) The Intentionality of Computers Is Essentially Borrowed, Hence Derivative

   [Our artifacts] only have meaning because we give it to them; their intentionality, like that of smoke signals and writing, is essentially borrowed, hence derivative. To put it bluntly: computers themselves don't mean anything by their tokens (any more than books do)-they only mean what we say they do. Genuine understanding, on the other hand, is intentional "in its own right" and not derivatively from something else. (Haugeland, 1981a, pp. 32-33)

   7) The Possibility of Computer Thought

   he debate over the possibility of computer thought will never be won or lost; it will simply cease to be of interest, like the previous debate over man as a clockwork mechanism. (Bolter, 1984, p. 190)

   8) We Are Getting Better at Building Even Better Computers, an Ever- Escalating Upward Spiral

   t takes us a long time to emotionally digest a new idea. The computer is too big a step, and too recently made, for us to quickly recover our balance and gauge its potential. It's an enormous accelerator, perhaps the greatest one since the plow, twelve thousand years ago. As an intelligence amplifier, it speeds up everything-including itself-and it continually improves because its heart is information or, more plainly, ideas. We can no more calculate its consequences than Babbage could have foreseen antibiotics, the Pill, or space stations.

   According to weak AI, the principle value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion than before. But according to strong AI the computer is not merely a tool in the study of the mind; rather the appropriately programmed computer really is a mind in the sense that computers given the right programs can be literally said to understand and have other cognitive states. And according to strong AI, because the programmed computer has cognitive states, the programs are not mere tools that enable us to test psychological explanations; rather, the programs are themselves the explanations. (Searle, 1981b, p. 353)

    10) Why People Are Smarter Than Computers

   What makes people smarter than machines? They certainly are not quicker or more precise. Yet people are far better at perceiving objects in natural scenes and noting their relations, at understanding language and retrieving contextually appropriate information from memory, at making plans and carrying out contextually appropriate actions, and at a wide range of other natural cognitive tasks. People are also far better at learning to do these things more accurately and fluently through processing experience.

   What is the basis for these differences? One answer, perhaps the classic one we might expect from artificial intelligence, is "software." If we only had the right computer program, the argument goes, we might be able to capture the fluidity and adaptability of human information processing. Certainly this answer is partially correct. There have been great breakthroughs in our understanding of cognition as a result of the development of expressive high-level computer languages and powerful algorithms. However, we do not think that software is the whole story.

   In our view, people are smarter than today's computers because the brain employs a basic computational architecture that is more suited to deal with a central aspect of the natural information processing tasks that people are so good at.... hese tasks generally require the simultaneous consideration of many pieces of information or constraints. Each constraint may be imperfectly specified and ambiguous, yet each can play a potentially decisive role in determining the outcome of processing. (McClelland, Rumelhart & Hinton, 1986, pp. 3-4)

1) мода

а) нормальный тип колебаний, собственный тип колебаний; нормальный тип волн, собственный тип волн

б) точка максимума плотности распределения вероятностей случайной величины

2) режим (работы)

3) способ; метод

4) тип; форма ( выражения или проявления чего-либо)

5) (логическая) модальность

6) ак. лад; тональность

•

- π-mode

- standby mode

- static mode

[ˈdeɪtə]

absolute data вчт. абсолютные данные accept data вчт. принимать данные access data вчт. путевое имя данных actual data вчт. реальные данные adjusted data вчт. скорректированные данные aggregated data вчт. агрегированные данные aggregated data вчт. укрупненные данные alphabetic data вчт. буквенные данные alphanumeric data вчт. буквенно-цифровые данные alphanumeric data вчт. текстовые данные analog data вчт. алалоговые данные analog-digital data вчт. алалогово-цифровые данные anomalous data вчт. неверные данные area data зональные данные arrayed data вчт. массив данных arrayed data вчт. упорядоченные данные automated data processing вчт. автоматическая обработка данных automatic data processing вчт. автоматическая обработка данных processing: data обработка; automatic data processing автоматическая обработка данных automatic data processing system вчт. система автоматической обработки данных available data вчт. доступные данные bad data вчт. неправильные данные biased data вчт. неравномерно распределенные данныые binary data вчт. двоичные данные biographical data биографические данные bipolar-valued data вчт. данные обоих знаков bit string data вчт. битовые строки blocked data вчт. блок данных blocked data вчт. сблокированные данные boolean data вчт. булевские данные built-in data вчт. встроенные данные business data вчт. деловая информация canned data вчт. искусственные данные chain data вчт. цепочка данных character string data вчт. строки символов cipher data вчт. зашифрованные данные classified data вчт. сгруппированные данные clean data вчт. достоверные данные clear data вчт. незашифрованные данные coded data вчт. незакодированные данные collect data собирать данные common data вчт. общие данные compacted data вчт. уплотненные дданные compatible data вчт. совместимые данные comprehensive data вчт. исчерпывающие данные comprehensive data вчт. полные данные computer usage data данные по использованию ЭВМ confidential data вчт. секретные данные constitutional data вчт. структированные данные constructed data вчт. исскуственные данные contiguous data вчт. сопутствующие данные continuous data вчт. аналоговые данные control data вчт. управляющие данные coordinate data вчт. координатные данные correction data вчт. поправочные данные critical data вчт. критические данные critical data вчт. критическое значение данных cross-section data вчт. структурные данные cumulative data вчт. накопленные данные current data вчт. текущие данные data pl от datum data pl данные; факты; сведения data вчт. данные data данные data pl информация data вчт. информация data информация data сведения data факты data aligner вчт. блок перегруппировки данных data control block вчт. блок управления данными data set control block вчт. блок управления набором данных data pl от datum datum: datum (pl data) данная величина, исходный факт data вчт. единица информации data характеристика data вчт. элемент данных debugging data вчт. отладочная информациия decimal data вчт. десятичные данные derived data вчт. выводимые данные descriptive data вчт. описательные данные digital data вчт. цифровые данные digitized data вчт. оцифрованные данные direct data set вчт. прямой набор данных disembodied data вчт. разрозненные данные dispersed data вчт. распределенные данные distributed data base вчт. распределенная база данных, РБД distributed data processing вчт. распределенная обработка данных processing: distributed data data вчт. рассредоточенная обработка информации documentary data вчт. распределенная информация downloaded data вчт. загружаемые данные dummy data set вчт. набор фиктивных данных encoded data вчт. кодированные данные encrypted data вчт. зашифрованные данные engineering data вчт. технические данные error data вчт. информация об ошибках evaluation data вчт. оценочные данные event data вчт. данные о событиях external data внешние данные false data вчт. ложные данные fictive data вчт. фиктивные данные field data вчт. эксплуатационные данные field-performance data вчт. эксплуатационая характеристика file data вчт. данные из файла file data вчт. описание файла filed data вчт. картотечные данные flagged data вчт. снабженные признаками данные formatted data вчт. форматированные данные graphic data вчт. графические данные hard disk data вчт. данные на жестком диске hierarchical data base вчт. база иерархических данных historical data вчт. данные о протекании процесса housekeeping data вчт. служебные данные identification data идентифицирующие данные image data вчт. видеоданные immediate data вчт. непосредственно получаемые данные imperfect data вчт. неполные данные improper data вчт. неподходящие данные impure data вчт. изменяемые данныые incoming data вчт. поступающие данные incomplete data вчт. неполные данные indexed data вчт. индексируемые данные indicative data вчт. индикационные данные indicative data вчт. характеристические данные initial data вчт. исходные данные input data вчт. входные данные input data вчт. исходные данные integated data вчт. сгруппированные данные integer data вчт. целочисленные данные integrated data вчт. сгруппированные данные interactive data вчт. данные взаимодействия intermediate data вчт. промежуточные данные intersection data вчт. данные пресечения invalid data недостоверные данные invisible data вчт. невидимая информация job data вчт. характеристика работы label data вчт. данные типа метки language data вчт. языковые данные lawful data разрешенные данные line data вчт. строковые данные loaded data base вчт. заполненная база данных locked data вчт. защищенные данные logged data вчт. регистрируемые данные logical data вчт. логические данные lost data вчт. потерянные данные low-activity data вчт. редкоиспользуемые данные machine-readable data вчт. машиночитаемые данные management data вчт. управленческая информация mass data вчт. массовые данные master data вчт. основные данные master data вчт. эталонные данные meaning data вчт. значащая информация meaningless data вчт. незначащие данные meta data вчт. метаинформация misleading data вчт. дезориентирующие данные missing data вчт. недостаточные данные missing data вчт. недостающие данные missing data вчт. потерянные данные multiple data вчт. многокомпонентные данные n-bit data вчт. n-разрядные двоичные данные non-numeric data вчт. нечисловые данные nonformatted data вчт. неформатированные данные normal data вчт. обычные данные null data вчт. отсутствие данных numeric data числовые данные numerical data вчт. числовые данные observed data вчт. данные наблюдений on-line data вчт. данные в памяти on-line data вчт. оперативные данные operational data вчт. рабочие данные original statistical data исходные статистические данные outgoing data вчт. выходные данные outgoing data вчт. исходящие данные output data вчт. выходные данные output data выходные данные packed data вчт. упакованные данные passing data вчт. пересылка данных personal data анкетные данные personal data личные данные pooled data вчт. совокупность данных poor data вчт. скудные данные primary data вчт. первичные данные private data вчт. закрытые данные problem data вчт. данные задачи problem data вчт. проблемные данные production data данные о выпуске продукции production data показатели хода производственного процесса production data технологические показатели public data вчт. общедоступные данные public data вчт. общие данные punched data вчт. отперфорированные данные pure data вчт. неизменяемые данные random test data случайные тестовые данные ranked data вчт. ранжированные данные ranked data вчт. упорядоченные данные rating data вчт. оценочные данные raw data вчт. необработанные данные raw data необработанные данные recovery data вчт. восстановительные данные reduced data вчт. сжатые данные reference data вчт. справочные данные refined data вчт. уточненные данные rejected data вчт. отвергаемые данные relative data вчт. относительные данные relevant data вчт. релевантные данные reliability data вчт. данные о надежности reliable data вчт. надежная информация representative data вчт. представительные данные restricted data вчт. защищенные данные run data вчт. параметр прогона run data вчт. параметры прогона sample data вчт. выборочные данные sampled data вчт. выборочные данные sampled data вчт. дискретные данные schedule data вчт. запланированные данные scratch data вчт. промежуточные данные secondary data вчт. вторичные данные sensitive data вчт. уязвимые данные serial data вчт. последовательные данные service data block вчт. блок служебных данных shareable data вчт. общие данные simulation data вчт. данные моделирования smoothed data вчт. сглаженные данные socio-economic data социально-экономические данные source data вчт. данные источника specified data вчт. детализированные данные sring data вчт. хранимый ток stale data вчт. устаревшие данные stand-alone data вчт. автономные данные stand-alone data вчт. одиночные данные starting data вчт. исходные данные starting data вчт. начальные данные statistical data статистические данные status data вчт. данные о состоянии stored data вчт. запоминаемые данные string data вчт. строковые данные structured data вчт. структурированные данные suspect data вчт. подозрительные данные synthetic data вчт. исскуственные данные system control data системное управление информацией system output data вчт. данные системного вывода tabular data вчт. табличные данные tabulated data вчт. табличные данные task data вчт. данные задачи test data вчт. данные испытаний test data вчт. контрольные данные test data вчт. тестовые данные time-series data вчт. данные временного ряда tooling data вчт. технологические данные transaction data вчт. данные сообщение transaction data вчт. параметры транзакции transcriptive data вчт. преобразуемые данные transient data вчт. транзитные данные transparent data вчт. прозрачные данные trouble-shooting data вчт. данные о неисправностях true data вчт. достоверные данные uncompatible data вчт. несовместимые данные unformatted data вчт. неформатированные данные ungrouped data вчт. несгруппированные данные unpacked data вчт. неупакованные данные unpacked data вчт. распакованные данные untagged data вчт. непомеченные данные updatable data вчт. обновляемые данные user data вчт. пользовательские данные valid data вчт. достоверные данные valid data достоверные данные variable data вчт. переменные данные video data визуальная информация virtual data вчт. виртуальные данные warrantly data вчт. данные приемочных испытаний warranty data вчт. сведения о гарантиях zero data вчт. нулевые данные

   1) There Are Ideas That Have Their Own True and Immutable Nature

   And what I believe to be more important here is that I find in myself an infinity of ideas of certain things which cannot be assumed to be pure nothingness, even though they may have perhaps no existence outside of my thought. These things are not figments of my imagination, even though it is within my power to think of them or not to think of them; on the contrary, they have their own true and immutable natures. Thus, for example, when I imagine a triangle, even though there may perhaps be no such figure anywhere in the world outside of my thought, nor ever have been, nevertheless the figure cannot help having a certain determinate nature... or essence, which is immutable and eternal, which I have not invented and which does not in any way depend upon my mind. (Descartes, 1951, p. 61)

   2) Examine What Is within Our Reach

   Let us console ourselves for not knowing the possible connections between a spider and the rings of Saturn, and continue to examine what is within our reach. (Voltaire, 1961, p. 144)

   3) Modern Philosophy Starts with the Cartesian Catastrophe

   As modern physics started with the Newtonian revolution, so modern philosophy starts with what one might call the Cartesian Catastrophe. The catastrophe consisted in the splitting up of the world into the realms of matter and mind, and the identification of "mind" with conscious thinking. The result of this identification was the shallow rationalism of l'esprit Cartesien, and an impoverishment of psychology which it took three centuries to remedy even in part. (Koestler, 1964, p. 148)

   4) The Rightful Claims of Philosophy

   It has been made of late a reproach against natural philosophy that it has struck out on a path of its own, and has separated itself more and more widely from the other sciences which are united by common philological and historical studies. The opposition has, in fact, been long apparent, and seems to me to have grown up mainly under the influence of the Hegelian philosophy, or, at any rate, to have been brought out into more distinct relief by that philosophy.... The sole object of Kant's "Critical Philosophy" was to test the sources and the authority of our knowledge, and to fix a definite scope and standard for the researches of philosophy, as compared with other sciences.... [But Hegel's] "Philosophy of Identity" was bolder. It started with the hypothesis that not only spiritual phenomena, but even the actual world-nature, that is, and man-were the result of an act of thought on the part of a creative mind, similar, it was supposed, in kind to the human mind.... The philosophers accused the scientific men of narrowness; the scientific men retorted that the philosophers were crazy. And so it came about that men of science began to lay some stress on the banishment of all philosophic influences from their work; while some of them, including men of the greatest acuteness, went so far as to condemn philosophy altogether, not merely as useless, but as mischievous dreaming. Thus, it must be confessed, not only were the illegitimate pretensions of the Hegelian system to subordinate to itself all other studies rejected, but no regard was paid to the rightful claims of philosophy, that is, the criticism of the sources of cognition, and the definition of the functions of the intellect. (Helmholz, quoted in Dampier, 1966, pp. 291-292)

   5) The Philosophy of Philosophy

   Philosophy remains true to its classical tradition by renouncing it. (Habermas, 1972, p. 317)

   6) Philosophy Is a Field Which Has Certain Central Questions

   I have not attempted... to put forward any grand view of the nature of philosophy; nor do I have any such grand view to put forth if I would. It will be obvious that I do not agree with those who see philosophy as the history of "howlers" and progress in philosophy as the debunking of howlers. It will also be obvious that I do not agree with those who see philosophy as the enterprise of putting forward a priori truths about the world.... I see philosophy as a field which has certain central questions, for example, the relation between thought and reality.... It seems obvious that in dealing with these questions philosophers have formulated rival research programs, that they have put forward general hypotheses, and that philosophers within each major research program have modified their hypotheses by trial and error, even if they sometimes refuse to admit that that is what they are doing. To that extent philosophy is a "science." To argue about whether philosophy is a science in any more serious sense seems to me to be hardly a useful occupation.... It does not seem to me important to decide whether science is philosophy or philosophy is science as long as one has a conception of both that makes both essential to a responsible view of the world and of man's place in it. (Putnam, 1975, p. xvii)

   7) The Central Task of Philosophy

   What can philosophy contribute to solving the problem of the relation [of] mind to body? Twenty years ago, many English-speaking philosophers would have answered: "Nothing beyond an analysis of the various mental concepts." If we seek knowledge of things, they thought, it is to science that we must turn. Philosophy can only cast light upon our concepts of those things.

   This retreat from things to concepts was not undertaken lightly. Ever since the seventeenth century, the great intellectual fact of our culture has been the incredible expansion of knowledge both in the natural and in the rational sciences (mathematics, logic).

   The success of science created a crisis in philosophy. What was there for philosophy to do? Hume had already perceived the problem in some degree, and so surely did Kant, but it was not until the twentieth century, with the Vienna Circle and with Wittgenstein, that the difficulty began to weigh heavily. Wittgenstein took the view that philosophy could do no more than strive to undo the intellectual knots it itself had tied, so achieving intellectual release, and even a certain illumination, but no knowledge. A little later, and more optimistically, Ryle saw a positive, if reduced role, for philosophy in mapping the "logical geography" of our concepts: how they stood to each other and how they were to be analyzed....

   Since that time, however, philosophers in the "analytic" tradition have swung back from Wittgensteinian and even Rylean pessimism to a more traditional conception of the proper role and tasks of philosophy. Many analytic philosophers now would accept the view that the central task of philosophy is to give an account, or at least play a part in giving an account, of the most general nature of things and of man. (Armstrong, 1990, pp. 37-38)

   8) Philosophy's Evolving Engagement with Artificial Intelligence and Cognitive Science

   In the beginning, the nature of philosophy's engagement with artificial intelligence and cognitive science was clear enough. The new sciences of the mind were to provide the long-awaited vindication of the most potent dreams of naturalism and materialism. Mind would at last be located firmly within the natural order. We would see in detail how the most perplexing features of the mental realm could be supported by the operations of solely physical laws upon solely physical stuff. Mental causation (the power of, e.g., a belief to cause an action) would emerge as just another species of physical causation. Reasoning would be understood as a kind of automated theorem proving. And the key to both was to be the depiction of the brain as the implementation of multiple higher level programs whose task was to manipulate and transform symbols or representations: inner items with one foot in the physical (they were realized as brain states) and one in the mental (they were bearers of contents, and their physical gymnastics were cleverly designed to respect semantic relationships such as truth preservation). (A. Clark, 1996, p. 1)

   9) The Enduring Value of Philosophy

   Socrates of Athens famously declared that "the unexamined life is not worth living," and his motto aptly explains the impulse to philosophize. Taking nothing for granted, philosophy probes and questions the fundamental presuppositions of every area of human inquiry.... [P]art of the job of the philosopher is to keep at a certain critical distance from current doctrines, whether in the sciences or the arts, and to examine instead how the various elements in our world-view clash, or fit together. Some philosophers have tried to incorporate the results of these inquiries into a grand synoptic view of the nature of reality and our human relationship to it. Others have mistrusted system-building, and seen their primary role as one of clarifications, or the removal of obstacles along the road to truth. But all have shared the Socratic vision of using the human intellect to challenge comfortable preconceptions, insisting that every aspect of human theory and practice be subjected to continuing critical scrutiny....

   Philosophy is, of course, part of a continuing tradition, and there is much to be gained from seeing how that tradition originated and developed. But the principal object of studying the materials in this book is not to pay homage to past genius, but to enrich one's understanding of central problems that are as pressing today as they have always been-problems about knowledge, truth and reality, the nature of the mind, the basis of right action, and the best way to live. These questions help to mark out the territory of philosophy as an academic discipline, but in a wider sense they define the human predicament itself; they will surely continue to be with us for as long as humanity endures. (Cottingham, 1996, pp. xxi-xxii)

    10) The Distinction between Dionysian Man and Apollonian Man, between Art and Creativity and Reason and Self- Control

   In his study of ancient Greek culture, The Birth of Tragedy, Nietzsche drew what would become a famous distinction, between the Dionysian spirit, the untamed spirit of art and creativity, and the Apollonian, that of reason and self-control. The story of Greek civilization, and all civilizations, Nietzsche implied, was the gradual victory of Apollonian man, with his desire for control over nature and himself, over Dionysian man, who survives only in myth, poetry, music, and drama. Socrates and Plato had attacked the illusions of art as unreal, and had overturned the delicate cultural balance by valuing only man's critical, rational, and controlling consciousness while denigrating his vital life instincts as irrational and base. The result of this division is "Alexandrian man," the civilized and accomplished Greek citizen of the later ancient world, who is "equipped with the greatest forces of knowledge" but in whom the wellsprings of creativity have dried up. (Herman, 1997, pp. 95-96)

1) Общая лексика: Transmission Control Protocol (Главный транспортный протокол. Протокол управления передачей. Работает одновременно с клиентом и протоколом низкого уровня (IP). Интерфейс между TCP и пользователем есть открытие и закрытие соединения и отправка и з)

2) Компьютерная техника: Terminal Control Program, Type Constrained Programming

3) Американизм: The Common People

4) Военный термин: Tactical Control Processor, Technological Coordinating Paper, Terminal Control Protocol, Traditional CINC Programs, tactical command post, task change proposal, technical change proposal, technical cooperation program, technical coordinating paper, test and checkout procedure, test control package, traffic control point, traffic control post, Time Charter Party

5) Техника: telemetry and command processor assembly, tetracalcium phosphate, thickness-conductivity product, time limited correlation processing, timing and control panel, training controller panel, transmission control program

6) Химия: Tri Cresyl Phosphate

7) Экономика: Проект технического сотрудничества (Technical Cooperation Project)

8) Автомобильный термин: torque charger, temperature compensated accelerator pump (Ford)

9) Телекоммуникации: Telephone Connecting Program, Transmission Control Protocol (IETF)

10) Сокращение: TDATS Control Panel, Tactical Computer Processor, Tactical Cryptologic Program (USA), Tactical Cryptologic Program, Thermite Case Penetrator, Transmission Control Program / Protocol (USA), Transport Control Protocol, Travure Courte Portee (Assault treadway bridge (France)), Turret Control Panel, Topologically Close Packed, Technical Cooperation Programme (ООН)

11) Физиология: Tablet, Coated Particles

12) Электроника: Time Controlled Parameter, Transformer- Coupled Plasma, Transmission Control Protocols

13) Вычислительная техника: Tape Carrier Package, Tape-Carrier Package, Test Coordination Procedure, Transmission Control Protocol (ARPANET), Tape Carrier Package (CPU), transmission control protocol

14) Нефть: total core penetration, tubing conveyed perforating

15) Иммунология: T-cell precursor, t-complex polypeptide

16) Стоматология: бета TCP, бета ТКФ, трикальций фосфат, трикальцийфосфат, трикальциум фосфат, tricalcium phosphate, ТКФ, трикальциум-фосфат

17) Онкология: Thrombocytopenia

18) Космонавтика: Technical Cooperation Programme (FAO), Tropical Cyclone Programme (WMO)

19) Геофизика: произведение мощности на удельную проводимость

20) Транспорт: Transportation Control Plan

21) Фирменный знак: The Childrens Place

22) Экология: Tropical Cyclone Program

23) Энергетика: Turbine Control Panel, панель контроля турбины, панель управления турбиной

24) Глоссарий компании Сахалин Энерджи: tubing convey gun, turnover and completion package, Tubing Conveyed Perforating (ТЭО)

25) Образование: Traditional Classroom Program

26) Сетевые технологии: корпус на ленточном носителе, протокол управления передачей данных, управляющий протокол передачи

27) Полимеры: tricresyl phosphate

28) Автоматика: tool center point

29) Сахалин Ю: tubing conveyed perforator

30) Майкрософт: протокол TCP

31) Должность: Terran Confederation Pilot

32) Чат: Totally Controllable Pixies

33) Библиотечное дело: Theodore C. Petersen manuscript collection

1) Общая лексика: Transmission Control Protocol (Главный транспортный протокол. Протокол управления передачей. Работает одновременно с клиентом и протоколом низкого уровня (IP). Интерфейс между TCP и пользователем есть открытие и закрытие соединения и отправка и з)

2) Компьютерная техника: Terminal Control Program, Type Constrained Programming

3) Американизм: The Common People

4) Военный термин: Tactical Control Processor, Technological Coordinating Paper, Terminal Control Protocol, Traditional CINC Programs, tactical command post, task change proposal, technical change proposal, technical cooperation program, technical coordinating paper, test and checkout procedure, test control package, traffic control point, traffic control post, Time Charter Party

5) Техника: telemetry and command processor assembly, tetracalcium phosphate, thickness-conductivity product, time limited correlation processing, timing and control panel, training controller panel, transmission control program

6) Химия: Tri Cresyl Phosphate

7) Экономика: Проект технического сотрудничества (Technical Cooperation Project)

8) Автомобильный термин: torque charger, temperature compensated accelerator pump (Ford)

9) Телекоммуникации: Telephone Connecting Program, Transmission Control Protocol (IETF)

10) Сокращение: TDATS Control Panel, Tactical Computer Processor, Tactical Cryptologic Program (USA), Tactical Cryptologic Program, Thermite Case Penetrator, Transmission Control Program / Protocol (USA), Transport Control Protocol, Travure Courte Portee (Assault treadway bridge (France)), Turret Control Panel, Topologically Close Packed, Technical Cooperation Programme (ООН)

11) Физиология: Tablet, Coated Particles

12) Электроника: Time Controlled Parameter, Transformer- Coupled Plasma, Transmission Control Protocols

13) Вычислительная техника: Tape Carrier Package, Tape-Carrier Package, Test Coordination Procedure, Transmission Control Protocol (ARPANET), Tape Carrier Package (CPU), transmission control protocol

14) Нефть: total core penetration, tubing conveyed perforating

15) Иммунология: T-cell precursor, t-complex polypeptide

16) Стоматология: бета TCP, бета ТКФ, трикальций фосфат, трикальцийфосфат, трикальциум фосфат, tricalcium phosphate, ТКФ, трикальциум-фосфат

17) Онкология: Thrombocytopenia

18) Космонавтика: Technical Cooperation Programme (FAO), Tropical Cyclone Programme (WMO)

19) Геофизика: произведение мощности на удельную проводимость

20) Транспорт: Transportation Control Plan

21) Фирменный знак: The Childrens Place

22) Экология: Tropical Cyclone Program

23) Энергетика: Turbine Control Panel, панель контроля турбины, панель управления турбиной

24) Глоссарий компании Сахалин Энерджи: tubing convey gun, turnover and completion package, Tubing Conveyed Perforating (ТЭО)

25) Образование: Traditional Classroom Program

26) Сетевые технологии: корпус на ленточном носителе, протокол управления передачей данных, управляющий протокол передачи

27) Полимеры: tricresyl phosphate

28) Автоматика: tool center point

29) Сахалин Ю: tubing conveyed perforator

30) Майкрософт: протокол TCP

31) Должность: Terran Confederation Pilot

32) Чат: Totally Controllable Pixies

33) Библиотечное дело: Theodore C. Petersen manuscript collection

- above voice data

- local configuration data

- locational data

стандартный (standard, conventional, normal, stereotype, stereo, imperial)

типовой (standard, exemplary, typal)

нормальный (normal, standard, regular, sane, ordinary, natural)

нормативный (normative, standard, prescriptive)

общепринятый (common, conventional, accepted, standard, general, Orthodox)

образцовый (exemplary, model, standard, copybook, classic, pattern)

штамбовый (standard)

стандарт (standard, norm)

эталон (reference, standard, model, gauge, gage)

норма (norm, rate, rule, standard, mark, task)

норматив (standard, norm)

знамя (banner, flag, standard, ensign, colors, pennant)

штандарт (standard)

образец (sample, pattern, specimen, model, example, standard)

класс (class, classroom, grade, School, form, standard)

мерило (measure, standard, yardstick, criterion, Test, metewand)

проба (try, sample, trial, test, probe, standard)

флаг (flag, banner, ensign, colors, pennant, standard)

кондиция (standard)

стойка (rack, bar, stand, counter, pillar, standard)

подставка (stand, rack, pedestal, support, coaster, standard)

курс (course, policy, path, heading, class, standard)

денежный стандарт (standard)

опора (support, reliance, bearing, pillar, prop, standard)

штамбовое растение (standard)

денежная система (standard)

стандартный (standard, conventional, normal, stereotype, stereo, imperial)

типовой (standard, exemplary, typal)

нормальный (normal, standard, regular, sane, ordinary, natural)

нормативный (normative, standard, prescriptive)

общепринятый (common, conventional, accepted, standard, general, Orthodox)

образцовый (exemplary, model, standard, copybook, classic, pattern)

штамбовый (standard)

стандарт (standard, norm)

эталон (reference, standard, model, gauge, gage)

норма (norm, rate, rule, standard, mark, task)

норматив (standard, norm)

знамя (banner, flag, standard, ensign, colors, pennant)

штандарт (standard)

образец (sample, pattern, specimen, model, example, standard)

класс (class, classroom, grade, School, form, standard)

мерило (measure, standard, yardstick, criterion, Test, metewand)

проба (try, sample, trial, test, probe, standard)

флаг (flag, banner, ensign, colors, pennant, standard)

кондиция (standard)

стойка (rack, bar, stand, counter, pillar, standard)

подставка (stand, rack, pedestal, support, coaster, standard)

курс (course, policy, path, heading, class, standard)

денежный стандарт (standard)

опора (support, reliance, bearing, pillar, prop, standard)

штамбовое растение (standard)

денежная система (standard)