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universal problem

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1 universal problem

мат. универсальная задача

Большой англо-русский и русско-английский словарь > universal problem
2 universal problem

Математика: универсальная задача

Универсальный англо-русский словарь > universal problem
3 universal problem

глобальная проблема

Politics english-russian dictionary > universal problem
4 universal problem

мат.

универсальная задача

English-Russian scientific dictionary > universal problem
5 universal problem

универсальная проблема

Англо-русский словарь по исследованиям и ноу-хау > universal problem
6 problem

n

1) проблема; трудность

2) задача

3) вопрос

•

to add to a country's problems — увеличивать трудности, испытываемые страной

to address a problem — заниматься проблемой; браться за решение вопроса

to aggravate a problem — обострять / осложнять проблему

to alleviate a problem — снимать остроту вопроса

to appreciate the seriousness of the problem — осознавать / понимать серьезность проблемы

to attack a problem — браться за решение проблемы

to avoid problems — избегать проблем

to bring up a problem — поднимать / ставить на обсуждение проблему

to combat economic problems — бороться с экономическими трудностями

to come up against a problem — сталкиваться с проблемой

to complicate a problem — осложнять проблему

to compound the problems already facing smb — осложнять и без того трудные проблемы, стоящие перед кем-л.

to confront a problem — сталкиваться с проблемой

to constitute the core of the problem — составлять суть проблемы

to cope with a problem — справляться с задачей

to counteract a problem — принимать меры по какой-л. проблеме

to create a problem — создавать проблему / трудность

to deal successfully with problems — решать проблемы; успешно справляться с проблемами / с трудностями

to deal with a problem — подходить к вопросу; рассматривать проблему; справляться с трудностью

to define a problem — определять проблему

to deflect from one's internal problems — отвлекать внимание от своих внутренних проблем

to discuss a problem — обсуждать проблему

to dodge a problem — уклоняться от решения проблемы

to drag one's feet on a problem — затягивать обсуждение какого-л. вопроса на переговорах

to ease a problem — облегчать / упрощать решение проблемы

to engender a new problem — создавать новую проблему

to exacerbate a problem — обострять проблему

to examine a problem — изучать проблему

to face a problem — сталкиваться с проблемой

to find a solution to a problem — находить решение проблемы

to get to grips with a problem — браться за решение проблемы / задачи

to get to the bottom of a problem — добираться до сути проблемы

to grapple with a problem — пытаться справиться с проблемой

to handle a problem — решать проблему / задачу

to iron out a problem — урегулировать вопрос / проблему

to meet a problem — разрешать проблему

to overcome a problem — разрешать проблему; преодолевать трудность

to overstate a problem — драматизировать проблему

to play down a problem — преуменьшать значение проблемы

to politicize a problem — придавать проблеме политический характер

to pose a problem — создавать проблему

to promote solution of problems — способствовать решению проблем

to provide a permanent solution to a problem — обеспечивать постоянное решение проблемы

to put problems on the table — открыто излагать проблемы

to put forward a problem — выдвигать / ставить проблему

to reflect the magnitude of the problem — отражать важность проблемы

to resolve a problem — решать задачу / проблему

to respond to agricultural problems — реагировать на трудности в сельском хозяйстве

to run into a problem — сталкиваться с проблемой

to see eye to eye on a problem — иметь одинаковые взгляды по какому-л. вопросу

to settle a problem — урегулировать проблему

to show sympathetic understanding of a problem — относиться с пониманием к проблеме

to side-step a problem — уходить от решения вопроса

to simplify a problem — упрощать проблему

to solve a problem — решать / разрешать проблему

to sort out problems — разбираться с проблемами

to speak out about a problem — высказываться по проблеме

to suffer economic problems — испытывать экономические затруднения

to sweep problems back under the carpet — откладывать решение проблем

to tackle a problem — решать проблему; бороться за решение вопроса

to thrash out a problem — утрясать проблему

to touch upon a problem — касаться проблемы; затрагивать проблему

to wash one's hands of a problem — умывать руки; прекращать заниматься решением вопроса

to work out a problem — решать задачу

- acute problem
- age-old problem
- agrarian problem
- anticipated problem
- balance-of-payment problem
- basic problem
- border problem
- burning problem
- cardinal problem
- cash-flow problem
- chief problem
- common problem
- competitiveness problem
- complex problem
- complexity of a problem
- complicated problem
- comprehensive consideration of a problem
- conflict problem
- contentious problem
- controversial problem
- critical problem
- crucial problem
- cultural problem
- current problem
- daily problem
- dark problem
- debt problem
- deep problem
- deep-seated problem
- delicate problem
- difficult problem
- diplomatic problem
- disputable problem
- domestic problem
- drug problem
- easy ways out of economic problems
- economic problem
- education problem
- elaboration of economic problems
- employment problem
- endemic problem
- environmental problem
- ethnic problem
- farming problem
- financial liquidity problem
- financial problem
- focal problem
- food problem
- foreign debt problem
- formidable problem
- fuel and energy problem
- global problem
- grave problem
- growing problems
- hair-raising problem
- half-way solution of the problem
- hard core of a problem
- heart of the problem
- heavy problem
- high priority problem
- housing problem
- human problems
- human rights problem
- humanitarian problem
- immediate problem
- important problem
- inability to solve urgent problems
- incipient problems
- industrial problems
- infrastructure problem
- inherited problem
- insuperable problem
- insurmountable problem
- interconnected problems
- interdisciplinary problem
- interlinked problems
- internal problem
- international problem
- interrelated problems
- intractable problem
- intricate problem
- key part of the problem
- key problem
- kindred problem
- labor problems
- labor-shortage problem
- logistical problem
- long-standing problem
- long-term problem
- main problem
- major problem
- mammoth problem
- market problem
- massive problem
- minor problem
- monetary and financial problem
- nationalist problem
- nationality problem
- nation-wide problem
- number one problem
- outstanding problem
- painful problem
- pending problem
- perennial problem
- persistent problem
- personnel problem
- pivotal problem
- political problem
- pollution problem
- present-day problem
- pressing problem
- priority problem
- problem becomes more acute
- problem comes under scrutiny in most papers
- problem facing the country
- problem is compounded by smth
- problem of development
- problem of first priority
- problem of great concern for smb
- problem of instability
- problem of paramount importance
- problems demand the urgent attention of smb
- problems of mutual concern
- problems of peace, security and cooperation
- problems of the elderly
- problems of war and peace
- problems to be sorted out
- problems which face the world today
- range of problems
- regional problem
- related problem
- resolution of a problem
- root problem
- safety problem
- sale problem
- scientific problem
- sensitive problem
- serious problem
- settlement of a problem
- severe problem
- social problem
- socio-economic problem
- sociological problem
- solution of a problem
- solution to a problem
- solvable problem
- specific problem
- spectrum of problems
- stirring problem
- surmountable problem
- technical problem
- territorial problem
- Third World debt problem
- thorny problem
- topical problem
- touchy problem
- trading problem
- traditional problem
- transport problem
- universal problem
- unprecedented problem
- unresolved problem
- unsolved problem
- urgent problem
- vital problem
- world food problems
- world-wide problem

Politics english-russian dictionary > problem
7 problem

1) задача; проблема

2) неисправность

3) трудность, затруднение

•

problem with fixed boundaries — задача с неподвижными границами

problem with losses — задача об обслуживании с потерями

problem with movable boundaries — задача с подвижными границами

problem with waiting — задача об обслуживании с ожиданием

to attack a problem — штурмовать проблему

to formulate a problem — формулировать проблему

to work out a problem — разрабатывать проблему

to state a problem — ставить задачу

- absorption problem

- abstract problem

- accompanying problem

- adjoint problem

- advertizing problem

- algebraic problem

- algorithmically unsolvable problem

- applied problem

- approach problem

- arithmetical problem

- assignment problem

- asymptotic problem

- attack-and-defense problem

- augmented problem

- auxiliary problem

- axially symmetric problem

- ballistic problem

- ballot problem

- barrier problem

- basic maximum problem

- betting problem

- bidual problem

- bifurcation problem

- biharmonic problem

- binary problem

- birthday problem

- blending problem

- bottleneck problem

- boundary problem
- boundary value problem
- bounded problem

- bounded-variable problem

- brachistochrone problem

- burglar problem

- cake-cutting problem

- calculability problem

- canonical problem

- capacitated transportation problem
- card matching problem
- cataloguing problem

- caterer problem

- Cauchy problem

- center problem

- center-and-focus problem

- central asymptotic problem
- central limit problem
- chance-constrained problem

- characteristic problem

- characterization problem

- check problem

- classical problem

- classification problem

- closed problem

- coercitive problem

- coexistence problem

- coin-tossing problem

- coin-weighing problem

- coloring problem

- combinatorial problem

- compactness problem

- competitive problem

- compression problem

- computational problem

- conceptual problem

- conjugate problem

- constant problem

- construction problem

- continuum problem

- contract-awards problem

- control problem

- convergence problem

- convex programming problem

- correspondence problem

- counterfeit coin problem

- crossing problem

- dancing problem

- decidability problem

- decision problem under certainty
- decision problem under risk - decision problem under uncertainty
- decoding problem

- degenerate problem

- delivery problem

- diet problem

- differentiation problem

- diffusion problem

- dimensionality problem

- direct problem

- Dirichlet's problem

- disorder problem

- distribution problem

- divisor problem

- domino problem

- econometric problem

- effectivity problem

- eigenvalue problem

- election problem

- embedding problem

- empirical problem

- encounter problem

- entrance-fee problem

- enumerability problem

- enumeration problem

- epistemological problem

- equilibrium problem

- equivalence problem

- equivalent problem

- error minimization problem

- estimation problem

- evolutionary problem

- explosion problem

- extended problem

- extension problem

- extremal problem
- extremum problem - fair division problem
- feasibility problem

- feasible problem

- feed mix problem

- filtering problem

- finitary problem

- five queens problem

- fixed-charge problem

- flow problem

- forecasting problem

- foreman problem

- gambler ruin problem
- gambling problem - gasoline blending problem
- general problem

- generalized problem

- gold-mining problem

- graph-theoretic problem

- halting problem

- hill-climbing problem

- homogeneity problem

- homogeneous problem

- homotopy problem

- identification problem

- identity problem

- ill-conditioned problem

- ill-defined problem

- ill-posed problem

- ill-structured problem

- improperly posed problem
- incompletely structured problem
- index of problem

- infeasible problem

- inference problem

- infinite medium problem

- infinitesimal problem

- information retrieval problem

- inhomogeneous problem

- initial problem

- initial-value problem

- inner problem

- insoluble problem

- integration problem

- interpolation problem

- intractable problem

- intricate problem

- invariant problem

- inverse problem

- inversion problem

- irregular problem

- isometric problem

- isomorphism problem

- isoperimetric problem

- knapsack problem

- knight problem

- labyrinth problem

- lattice search problem

- linear problem

- loading problem

- location problem

- many-body problem

- map-colouring problem

- map-folding problem

- mass problem

- master problem

- matching problem

- mathematical problem

- maximization problem

- maximum-flow problem

- menage problem

- menu problem

- metrization problem

- minimal length problem

- minimax problem

- minimization problem

- mixed problem

- module problem

- moment problem

- monkey-banana problem

- monotonic problem

- moving boundary problem

- multicriterion problem

- multidecision problem

- multidimensional problem

- multiextremal problem

- multiindex problem

- multiple-integral problem

- multivariate problem

- natural problem

- necklace problem

- needle problem

- nested problem

- network flow problem

- network problem

- newspaper-boy problem

- nondifferentiable problem

- nonhomogeneous problem

- nonlinear problem

- nonlinear programming problem

- nonparametric problem

- nonsequential problem

- nonstationary problem

- nonstochastic problem

- non-uniform problem

- nonwell-posed problem

- normal problem

- normative problem

- number problem

- numerical problem

- observation problem

- occupancy problem

- one-armed bandit problem

- one-dimensional problem

- one-sample problem

- open problem

- optimal assignment problem
- optimal path problem - optimal stopping problem
- optimization problem

- optimum problem

- orderability problem

- original problem

- outer problem

- overspecified problem

- packing problem

- parametric dual problem

- parking problem

- partition problem

- percolation problem

- permutation problem

- personnel-assignment problem

- petrol blending problem

- picnic problem

- plane problem

- Plateau's problem

- polar problem

- polynomial approximation problem
- portfolio selection problem
- positional problem

- postman problem

- power moment problem
- precisely specified problem
- prediction problem

- prefix problem

- prey-predator problem

- primal problem

- probabilistic problem

- problem of allocation

- problem of deadly embrace

- problem of derangements

- problem of eight queens

- problem of elimination

- problem of form equivalence

- problem of interpolating

- problem of interpretation

- problem of inverse probability

- problem of localization

- problem of matching

- problem of projectivity

- problem of reduction

- problem of separability

- problem of six red disks

- problem of solvability

- problem of thirteen spheres

- problem of uniqueness

- problem of warders

- programming problem

- properly posed problem

- purchasing problem

- pursuit problem

- puzzle problem

- pyramided problem

- quadratic programming problem

- quadrature problem

- quasilinear problem

- random-walk problem

- ranking problem

- realizability problem

- recursively enumerable problem
- recursively solvable problem
- reduced problem

- reducibility problem

- reducible problem

- regression problem

- relaxed problem

- rendezvous problem

- representation problem

- resource allocation problem

- restricted problem

- roulette problem

- routine problem

- ruin problem

- saddle point problem

- satisfiability problem

- scheduling problem

- schoolgirls problem

- scope of problem

- search problem

- secretary problem

- self-adjoint problem

- semidefinite problem

- separable problem

- separation problem

- sequencing problem

- sequential decision problem
- sequential decision programming problem - sequential occupancy problem - shortest path problem - shortest route problem
- singular problem

- solvable problem

- special problem

- specialization problem

- spectral problem

- stable marriage problem
- standard control problem
- statistical problem

- stereometric problem

- stiff problem

- stopping problem

- structural problem

- substitution problem

- symmetric problem

- systems analysis problem

- taxicab problem

- tenth problem

- termination problem

- ternary problem

- three body problem
- three houses and three wells problem
- three-choice problem

- three-color problem

- three-dimensional problem

- three-point problem

- timetable problem

- tournament problem

- toymaker problem

- trace problem

- tradeoff problem

- traffic problem

- trajectory problem

- transformed problem

- transport problem

- transportation problem

- transshipment problem

- trasport problem

- travelling salesman problem

- tree-structured problem

- triangulizability problem

- trigonometric moment problem

- trigonometric problem

- trim problem

- two body problem

- two noncharacteristic problem

- two-armed-bandit problem

- two-body problem

- two-choice problem

- two-dimensional problem

- two-means problem

- two-point boundary problem

- two-sample problem

- uncertainty problem

- unconstrained problem

- undecidable problem

- underspecified problem

- unicity problem

- universal problem

- unsolvable problem

- unstable problem

- unstructural problem

- unsymmetric dual problem

- variational problem

- waiting time problem

- warehousing problem

- well-behaved problem

- well-defined problem

- well-formulated problem

- well-set problem

- well-structured problem

- word problem

- worked problem

English-Russian scientific dictionary > problem
8 universal

ˌju:nɪˈvə:səl прил.
1) универсальный (подходящий ко всем случаям, способный на все и т.п.) a universal cure ≈ универсальное лекарство universal language ≈ универсальный язык LingvoUniversal dictionary ≈ универсальный словарь Lingvo a universal mind ≈ универсальный ум Syn: general Ant: restricted, exclusive, confined, special, specific.
2) глобальный, всесторонний, всемирный (касающийся всех или всего, воздействующий на каждого, проявляемый всеми и т.п. Overpopulation is a universal problem ≈ Перенаселение является глобальной проблемой When an eruption involves the whole surface, it is said to be universal. ≈ Когда высыпание затрагивает всю поверхность кожи, его называют общим. The guests were the objects of universal investigation. ≈ Гости были объектами всестороннего изучения. The guests were the objects of universal admiration. ≈ Гости были объектами всеобщего восхищения. Syn: widespread, world-wide, ubiquitous Ant: individual, personal, private, local( специальное) универсалия - *s of language, linguistic *s языковые универсалии (философское) всеобщее, общее (философское) метафизическое бытие( философское) "сам", эго всеобщий - met with * applause встреченный всеобщим одобрением - * rule правило, не имеющее исключений - * suffrage всеобщее избирательное право - * and over-all disarmament всеобщее и полное разоружение - * agent генеральный агент широко распространенный - a * practice among primitive people обычай, широко распространенный среди первобытных людей - war causes * misery война приносит всем страдания - television provides * entertainment телевидение развлекает широкую публику всемирный - * importance мировое значение - * money (политэкономия) всемирные деньги - U. Postal Union Всемирный почтовый союз - * gravitation (физическое) всемирное тяготение универсальный - * donor универсальный донор - * joint (техническое) кардан, универсальный шарнир - he has a * mind у него универсальный ум - Leonardo da Vinci was a * genius Леонардо да Винчи был гением-универсалом (логика) универсальный - * class универсальный класс - * quantifier квантор общности( философское) мировой - * spirit мировой дух - * cause первопричина;
Бог, Творец universal всемирный ~ всеобщий, всемирный ~ всеобщий;
всемирный ~ универсальный

Большой англо-русский и русско-английский словарь > universal
9 universal

[ˌjuːnɪ'vɜːs(ə)l]
прил.

1) универсальный

universal cure — универсальное лекарство

universal language — универсальный язык

universal mind — универсальный ум

Syn:

general

Ant:

restricted, exclusive, confined, special, specific.

2) глобальный, всемирный

Overpopulation is a universal problem — Перенаселение является глобальной проблемой

Syn:

worldwide

Ant:

local

3) всеобщий

universal need — всеобщая потребность

When an eruption involves the whole surface, it is said to be universal. — Когда высыпание распространяется по всей поверхности кожи, его называют общим.

The guests were the objects of universal investigation. — Гости были объектами всеобщего изучения.

Syn:

widespread

Ant:

individual, personal

Англо-русский современный словарь > universal
10 универсальная задача

мат. universal problem

Большой англо-русский и русско-английский словарь > универсальная задача
11 Language

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

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

   2) Arranging Speech so as to Reply Appropriately

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

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

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

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

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

   5) Language Powerfully Conditions All Our Thinking

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

   6) A List of Language Games

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

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

   Solving a problem in practical arithmeticTranslating from one language into another

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

   7) Language Constrains Certain Modes of Interpretation

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

   8) We Dissect Nature in Accordance with Our Native Languages

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

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

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

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

    10) The Analysis of Certain Types of Utterances

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

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

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

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

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

    13) The Development of Language

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

    14) Sentential and Conceptual Levels in Language

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

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

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

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

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

    16) The Final Steps to Human Language

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

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

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

    18) When a Language Is an Abstract Machine

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

    19) Metaphor and Metonymy Underpin the Formation of Linguistic Signs

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

    20) Language and the Analysis of Nature

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

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

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

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

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

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

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

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

    24) The Genetic Blueprints of Language

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

    25) Languages Are Machines

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

Historical dictionary of quotations in cognitive science > Language
12 language

ˈlæŋɡwɪdʒ сущ. язык а) (как способ и средство общения) речь to butcher, murder a language ≈ искажать язык to enrich a language ≈ обогащать язык to learn, master a language ≈ учить язык to plan a language ≈ регулировать язык to purify a language ≈ очищать язык (проведение некоторых мер по выведению из языка тех или иных пластов лексики или грамматических форм) to speak (in) a, to use a language ≈ говорить на языке to standardize a language ≈ стандартизировать язык international, world language ≈ международный язык, язык международного общения dead, extinct language ≈ мертвый язык language acquisition ≈ обучение языку language maintenance ≈ поддержание (знания) языка spoken language ≈ разговорный язык written language ≈ письменный язык native language ≈ родной язык foreign language ≈ иностранный язык national language ≈ национальный язык official language ≈ официальный язык second language ≈ второй язык universal language ≈ универсальный язык formal language ≈ язык официального общения idiomatic language ≈ язык, богатый идиомами nontechnical language ≈ нетехнический язык substandard language ≈ язык, не соответствующий языковой норме technical language ≈ технический язык ancient language ≈ древний язык classical language ≈ классический язык creolized language ≈ креолизованный язык living language ≈ живой язык modern language ≈ современный язык natural language ≈ естественный язык trade language ≈ язык торгового общения agglutinative language ≈ агглютинативный язык inflecting language ≈ флективный язык isolating language ≈ изолирующий язык synthetic language ≈ синтетический язык tone language ≈ язык с тоновым ударением б) (как знаковая система) sign language ≈ язык знаков artificial language ≈ искусственный язык finger language ≈ язык жестов, язык глухонемых в) (языковой или литературный стиль;
язык писателя) the language of Shakespeare ≈ язык Шекспира bad, coarse, crude, dirty, foul, nasty, obscene, offensive, unprintable, vile, vulgar language ≈ грубый, грязный, неприличный, оскорбительный, непечатный, вульгарный язык rough, strong, vituperative language ≈ грубый, бранный язык everyday, plain, simple language ≈ простой, повседневный язык flowery language ≈ цветистый язык (богатый метафорами, сравнениями и др. литературными тропами) colloquial, informal language ≈ язык неофициального общения, разговорный язык literary, standard language ≈ литературный язык abusive language ≈ брань, ругательства children's language ≈ детский язык diplomatic language ≈ дипломатический язык polite language ≈ вежливый язык rich language ≈ богатый язык Syn: wording г) (как способ кодирования) object, target language ≈ язык, на который переводят source language ≈ язык, с которого переводят (в машинном переводе) computer language machine language programming language язык - the Russian * русский язык - finger * язык жестов, язык глухонемых - living * живой язык - working * рабочий язык (в международных организациях) - the working *s of this committee are English and Russian рабочими языками этого комитета являются русский и английский - * arts (американизм) обучение чтению, письму, литературе, словесность (школьный предмет) - * shift переключение на другой язык (о говорящем на иностранном языке) - * department отдел переводов (ООН) - a degree in *s диплом об окончании филологического факультета или института иностранных языков - science of * языкознание речь - spoken * разгговорный язык;
устная речь - written * письменость;
письменный язык - articulate * членораздельная речь - literary * литературный язык - substandard * просторечие - he has a great command of * он прекрасно владеет языком, у него прекрасная речь характер языка;
стиль, слог - fine * изысканный язык, цветистый стиль - strong * сильные выражения - bad * сквернословие - * of poetry язык поэзии - business * деловая речь;
язык деловой переписки - * of law юридический язык - diplomatic * дипломатический язык - the * of Shakespeare язык Шекспира (дипломатическое) формулировка( компьютерное) язык программирования ЭВМ > not to speak the same * совершенно не понимать друг друга > they don't speak the same * они говорят на разных языках algorithmic ~ вчт. алгоритмический язык algorithmical ~ вчт. алгоритмическый язык applicative ~ вчт. функциональный язык artifical ~ вчт. искусственный язык artificial ~ вчт. искусственный язык assembler ~ вчт. язык ассемблера assembly ~ вчт. язык ассемблера authoring ~ вчт. язык для автоматизации творческой работы block-structured ~ вчт. язык с блочной структурой boolean-based ~ вчт. язык булевых операторов command ~ вчт. командный язык compiled ~ вчт. транслируемый язык compiler ~ вчт. язык транслятора computer ~ вчт. машинный язык computer-dependent ~ вчт. машинно-зависимый язык computer-oriented ~ вчт. машинно-ориентированный язык computer-sensitive ~ вчт. машинно-зависимый язык constraint ~ вчт. декларативный язык context-free ~ вчт. контекстно-свободный язык conversational ~ вчт. диалоговый язык conversational ~ вчт. язык диалога data definition ~ вчт. язык определения данных data description ~ вчт. язык описания данных data description ~ вчт. язык определения данных data ~ вчт. язык описания данных data manipulation ~ вчт. язык манипулирования данными data-base ~ вчт. язык базы данных data-query ~ вчт. язык запросов declarative ~ вчт. декларативный язык design ~ вчт. язык проектирования end-user ~ вчт. язык конечного пользователя extensible ~ вчт. расширяемый язык ~ язык;
речь;
finger language язык жестов, язык глухонемых foreign ~ иностранный язык formal ~ формальный язык frame ~ вчт. фреймовый язык high-level ~ вчт. язык высокого уровня host ~ вчт. включающий язык human ~ естественный язык language разг. брань (тж. bad language) ;
I won't have any language here прошу не выражаться inflected ~ флективный язык information retrieval ~ информационно- поисковый язык information retrieval ~ информационно-поисковый язык input ~ вчт. входной язык interactive ~ вчт. диалоговый язык interpreted ~ вчт. интерпретируемый язык kernel ~ вчт. базовый язык knowledge representation ~ вчт. язык представления знаний language разг. брань (тж. bad language) ;
I won't have any language here прошу не выражаться ~ стиль;
язык писателя;
the language of Shakespeare язык Шекспира ~ язык ~ язык;
речь;
finger language язык жестов, язык глухонемых ~ стиль;
язык писателя;
the language of Shakespeare язык Шекспира ~ of the case язык судебного делопроизводства legal ~ юридический язык legal ~ язык права low-level ~ вчт. язык низкого уровня machine ~ вчт. машинный язык machine-dependent ~ вчт. машинно-зависимый язык machine-independent ~ вчт. машинно-независимый язык machine-oriented ~ вчт. машинно-ориентрированный язык macro ~ вчт. макроязык macroinstruction ~ вчт. язык макрокоманд memory management ~ вчт. язык управления памятью meta ~ вчт. метаязык minority ~ язык национального меньшинства mnemonic ~ вчт. символический язык national ~ государственный язык native ~ вчт. собственный язык машины natural ~ вчт. естественный язык nonprocedural ~ вчт. непроцедурный язык object ~ вчт. объектный язык official ~ официальный язык original ~ исходный язык parallel ~ вчт. язык параллельного программирования predicate ~ вчт. язык предикатов problem statement ~ вчт. язык постановки задачи problem-oriented ~ вчт. проблемно-ориентированный язык procedural ~ вчт. процедурный язык procedural ~ процедурный язык procedure-oriented ~ вчт. процедурно ориентированный язык production ~ вчт. продукционный язык program ~ вчт. язык программирования programming ~ вчт. язык программирования query ~ вчт. язык запросов register transfer ~ вчт. язык межрегистровых пересылок regular ~ вчт. регулярный язык relational ~ вчт. реляционный язык representation ~ вчт. язык представлений restricted ~ вчт. упрощенная версия языка rule ~ вчт. язык правил rule-based ~ вчт. язык продукционных правил rule-oriented ~ вчт. язык логического программирования script ~ вчт. язык сценариев serial ~ вчт. язык последовательного программирования source ~ вчт. исходный язык source ~ cmp. исходный язык specification ~ вчт. язык спецификаций subset ~ вчт. подмножество языка symbolic ~ вчт. символический язык symbolic ~ comp. символический язык system ~ вчт. системный язык tabular ~ вчт. табличный язык target ~ вчт. выходной язык target ~ выходной язык target ~ объектный язык threaded ~ вчт. язык транслируемый в шитый код typed ~ вчт. широко используемый язык typeless ~ вчт. безтиповый язык unchecked ~ вчт. язык без контроля типов untyped ~ вчт. язык без контроля типов update ~ вчт. язык корректирующих запросов user ~ вчт. язык пользователя world ~ международный язык

Большой англо-русский и русско-английский словарь > language
13 language

1) язык

а) естественный язык, средство человеческого общения

б) система знаков, жестов или сигналов для передачи или хранения информации

в) стиль

г) речь

д) язык программирования

2) языкознание, лингвистика

•

- abstract machine language
- actor language
- agent communication language
- a-hardware programming language
- algebraic logic functional language

- algorithmic language

- amorhic language
- application-oriented language
- applicative language
- a-programming language
- artificial language
- assembler language
- assembly language
- assignment language
- author language
- authoring language
- axiomatic architecture description language

- basic combined programming language

- block-structured language

- boundary scan description language

- business-oriented language
- business-oriented programming language
- categorical language
- categorical abstract machine language

- cellular language
- configuration language
- constraint language
- combined programming language
- command language
- common language
- common business-oriented language
- compiled language
- compiler language
- computer language
- computer-dependent language
- computer hardware description language

- computer-independent language
- computer-oriented language
- computer-sensitive language
- concurrent language
- configuration language

- context-free language
- context- sensitive language
- conversational language
- coordinate language
- database language
- database query language
- data definition language

- data description language

- data manipulation language
- data structure language
- digital system design language
- declarative language
- declarative markup language
- definitional language
- definitional constraint language
- design language
- device media control language
- document style semantics and specification language

- domain-specific language
- dynamically scoped language
- dynamic hypertext markup language

- dynamic simulation language
- elementary formalized language
- embedding language
- event-driven language
- expression language
- extensible language
- extensible hypertext markup language

- extensible markup language

- fabricated language

- fifth-generation language

- first-generation language

- formal language
- formalized language
- fourth-generation language

- frame language
- functional language
- functional programming language
- function graph language

- geometrical layout description language

- graphics language
- graph-oriented language
- hardware description language

- Hewlett-Packard graphics language

- Hewlett-Packard printer control language

- high-level language
- high-order language
- host language
- hypertext markup language

- hypertext markup language plus
- hypersymbol language
- imperative language
- in-line language
- input language
- intelligent language
- interactive language
- interactive set language

- intermediate language
- interpreted language
- Java interface definition language

- Java language
- Java programming language
- job control language

- Jules' own version of the international algorithmic language

- knowledge query and manipulation language

- left-associative language
- lexically scoped language
- list-processing language
- low-level language
- machine language
- machine-independent language
- machine-oriented language
- macro language
- manipulator language
- man-machine language

- mathematical markup language

- matrix-based programming language
- meta language
- mnemonic language
- musical language
- my favorite toy language

- native language
- native-mode language
- natural language
- network control language

- network description language

- noninteractive language
- nonprocedural language
- object language
- object-oriented language
- page description language

- parallel object-oriented language

- partial differential equation language

- pattern-matching language
- physical language
- picture query language
- portable language
- portable standard language
- polymorphic language
- practical extraction and report language

- prescriptive language
- print control language
- problem-oriented language
- problem statement language
- procedural language
- procedure-oriented language
- program language
- programming language
- publishing language
- query language
- question-answering language
- register-transfer language
- regular language
- relational language
- right-associative language
- robot language
- robot-level language
- robotic control language
- rule language
- rule-oriented language
- scientific programming language
- script language
- scripting language
- second-generation language

- sense language

- server-parsed hypertext markup language

- set language

- simulation language
- sign language
- single-assignment language
- software command language
- source language
- special-purpose programming language
- specification language
- specification and assertion language

- stack-based language

- standard generalized markup language

- statically scoped language
- stratified language
- stream language
- string-handling language
- string-oriented symbolic language

- string-processing language
- strongly-typed language
- structural design language

- structured query language

- subset language
- symbolic language
- symbolic layout description language

- synchronized multimedia integration language

- target language
- thing language
- third-generation language

- threaded language
- tone language
- two-dimensional pictorial query language
- typed language
- typeless language
- unchecked language
- unformalized language
- universal language
- unstratified language
- untyped language
- user-oriented language
- very high-level language
- very-high-speed integrated circuit hardware description language

- Vienna definition language

- virtual reality modeling language

- visual language
- well-structured programming language
- wireless markup language

English-Russian electronics dictionary > language
14 language

1) язык

а) естественный язык, средство человеческого общения

б) система знаков, жестов или сигналов для передачи или хранения информации

в) стиль

г) речь

д) язык программирования

2) языкознание, лингвистика

•

- a hardware programming language
- a programming language
- abstract machine language
- actor language
- agent communication language
- algebraic logic functional language
- algorithmic language
- amorhic language
- application-oriented language
- applicative language
- artificial language
- assembler language
- assembly language
- assignment language
- author language
- authoring language
- axiomatic architecture description language
- basic combined programming language
- block-structured language
- boundary scan description language
- business-oriented language
- business-oriented programming language
- categorical abstract machine language
- categorical language
- cellular language
- combined programming language
- command language
- common business-oriented language
- common language
- compiled language
- compiler language
- computer hardware description language
- computer language
- computer-dependent language
- computer-independent language
- computer-oriented language
- computer-sensitive language
- concurrent language
- configuration language
- constraint language
- context-free language
- context-sensitive language
- conversational language
- coordinate language
- data definition language
- data description language
- data manipulation language
- data structure language
- database language
- database query language
- declarative language
- declarative markup language
- definitional constraint language
- definitional language
- design language
- device media control language
- digital system design language
- document style semantics and specification language
- domain-specific language
- dynamic hypertext markup language
- dynamic simulation language
- dynamically scoped language
- elementary formalized language
- embedding language
- event-driven language
- expression language
- extensible hypertext markup language
- extensible language
- extensible markup language
- fabricated language
- fifth-generation language
- first-generation language
- formal language
- formalized language
- fourth-generation language
- frame language
- function graph language
- functional language
- functional programming language
- geometrical layout description language
- graphics language
- graph-oriented language
- hardware description language
- Hewlett-Packard graphics language
- Hewlett-Packard printer control language
- high-level language
- high-order language
- host language
- hypersymbol language
- hypertext markup language plus
- hypertext markup language
- imperative language
- in-line language
- input language
- intelligent language
- interactive language
- interactive set language
- intermediate language
- interpreted language
- Java interface definition language
- Java language
- Java programming language
- job control language
- Jules' own version of the international algorithmic language
- knowledge query and manipulation language
- left-associative language
- lexically scoped language
- list-processing language
- low-level language
- machine language
- machine-independent language
- machine-oriented language
- macro language
- manipulator language
- man-machine language
- mathematical markup language
- matrix-based programming language
- meta language
- mnemonic language
- musical language
- my favorite toy language
- native language
- native-mode language
- natural language
- network control language
- network description language
- noninteractive language
- nonprocedural language
- object language
- object-oriented language
- page description language
- parallel object-oriented language
- partial differential equation language
- pattern-matching language
- physical language
- picture query language
- polymorphic language
- portable language
- portable standard language
- practical extraction and report language
- prescriptive language
- print control language
- problem statement language
- problem-oriented language
- procedural language
- procedure-oriented language
- program language
- programming language
- publishing language
- query language
- question-answering language
- register-transfer language
- regular language
- relational language
- right-associative language
- robot language
- robotic control language
- robot-level language
- rule language
- rule-oriented language
- scientific programming language
- script language
- scripting language
- second-generation language
- sense language
- server-parsed hypertext markup language
- set language
- sign language
- simulation language
- single-assignment language
- software command language
- source language
- special-purpose programming language
- specification and assertion language
- specification language
- stack-based language
- standard generalized markup language
- statically scoped language
- stratified language
- stream language
- string-handling language
- string-oriented symbolic language
- string-processing language
- strongly-typed language
- structural design language
- structured query language
- subset language
- symbolic language
- symbolic layout description language
- synchronized multimedia integration language
- target language
- thing language
- third-generation language
- threaded language
- tone language
- two-dimensional pictorial query language
- typed language
- typeless language
- unchecked language
- unformalized language
- universal language
- unstratified language
- untyped language
- user-oriented language
- very high-level language
- very-high-speed integrated circuit hardware description language
- Vienna definition language
- virtual reality modeling language
- visual language
- well-structured programming language
- wireless markup language

The New English-Russian Dictionary of Radio-electronics > language
15 statement

1) высказывание; утверждение

2) предложение

3) констатация

4) описание

5) положение

6) постановка ( задачи)

7) формулировка

8) отчёт; бюллетень

9) мат. оператор

•

neither statement is true — ни то, ни другое утверждение неверно

- absurd statement

- acceptance statement

- algebraic statement

- always-false statement

- always-true statement

- analytic statement

- arbitrary statement

- assignment statement

- atomic statement

- auxiliary statement

- axiomatic statement

- basic statement

- biconditional statement

- categorical statement

- classical statement

- closed statement

- code statement

- composite statement

- compound statement

- confidence statement

- conjunctive statement

- constant statement

- contensive statement

- contradictory statement

- control statement

- converse statement

- correct statement

- correctly formulated statement

- decidable statement

- descriptive statement

- dual statement

- dummy statement

- elementary statement

- empirical statement

- empty statement

- equivalent statements

- existential statement

- external statement

- formal statement

- fundamental statement

- fuzzy statement

- general statement

- generalized statement

- ideal statement

- identical statement

- incorrect statement

- internal statement

- invalid statement

- inverse statement

- irrefutable statement

- limited statement

- local statement

- logical statement

- logically true statement

- mathematical statement

- measurable statement

- metamathematical statement

- modal statement

- molecular statement

- negative statement

- nested statement

- nomological statement

- nonelementary statement

- nonrelativized statement

- normative statement

- null statement

- open statement

- partial statement

- plausible statement

- positive statement

- prime statement

- principal statement

- probability statement

- problem statement

- procedure statement

- proofable statement

- protocol statement

- provable statement

- purely syntactical statement

- quantor-free statement

- quasiexistential statement

- quasiprime statement

- real statement

- restricted statement

- satisfiable statement

- self-contradictory statement

- semantical statement

- senseless statement

- set-theoretic statement

- simple statement

- stable statement

- statement of comparison

- statement of hypothesis

- statement of problem

- statement of question

- statistical statement

- strictly semantical statement

- symbolic statement

- syntactical statement

- tautological statement

- trivial statement

- true statement
- truth statement
- uncontradictory statement

- unit statement

- universal statement

- universally valid statement

- unlimited statement

- unprovable statement

- unproved statement

- unsatisfiable statement

- variable statement

English-Russian scientific dictionary > statement
16 Phillips, Edouard

SUBJECT AREA: Mechanical, pneumatic and hydraulic engineering

[br]

b. 21 May 1821 Paris, France

d. 14 December 1889 Pouligny-Saint-Martin, France

[br]

French engineer and mathematician who achieved isochronous oscillations of a balance by deriving the correct shape for the balance spring.

[br]

Phillips was educated in Paris, at the Ecole Polytechnic and the Ecole des Mines. In 1849 he was awarded a doctorate in mathematical sciences by the University of Paris. He had a varied career in industry, academic and government institutions, rising to be Inspector- General of Mines in 1882.

It was well known that the balance of a watch or chronometer fitted with a simple spiral or helical spring was not isochronous, i.e. the period of the oscillation was not entirely independent of the amplitude. Watch-and chronometer-makers, notably Breguet and Arnold, had devised empirical solutions to the problem by altering the curvature of the end of the balance spring. In 1858 Phillips was encouraged to tackle the problem mathematically, and two years later he published a complete solution for the helical balance spring and a partial solution for the more complex spiral spring. Eleven years later he was able to achieve a complete solution for the spiral spring by altering the curvature of both ends of the spring. Phillips published a series of typical curves that the watch-or chronometer-maker could use to shape the ends of the balance spring.

[br]

Principal Honours and Distinctions

Académie des Sciences 1868. Chairman, Jury on Mechanics, Universal Exhibition 1889.

Bibliography

1861, "Mémoire sur l'application de la Théorie du Spiral Réglant", Annales des Mines 20:1–107.

1878, Comptes Rendus 86:26–31.

An English translation (by J.D.Weaver) of both the above papers was published by the Antiquarian Horological Society in 1978 (Monograph No. 15).

Further Reading

J.D.Weaver, 1989, "Edouard Phillips: a centenary appreciation", Horological Journal 132: 205–6 (a good short account).

F.J.Britten, 1978, Britten's Watch and Clock Maker's Handbook, 16th edn, rev. R Good (a description of the practical applications of the balance spring).

DV

Biographical history of technology > Phillips, Edouard
17 Artificial Intelligence

   1) Programs and the Complexity of Human Mental Processes

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

   2) Artificial Intelligence Is an Engineering Discipline

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

   3) A Sceptical View of Artificial Intelligence

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

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

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

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

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

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

   6) The Meaning of a Symbolic Description

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

   7) The Principle of Artificial Intelligence

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

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

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

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

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

    10) There Are Many Types of Reasoning

   There are many different kinds of reasoning one might imagine:

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

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

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

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

    12) The Synthesis of Man and Machine

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

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

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

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

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

    15) Four Kinds of Artificial Intelligence

   We might distinguish among four kinds of AI.

   ♦ Nonpsychological AI

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

   ♦ Weak Psychological AI

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

   ♦ Strong Psychological AI

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

   ♦ Suprapsychological AI

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

    16) Determination of Relevance of Rules in Particular Contexts

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

    17) Form and Content Are Not Fundamentally Different

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

    18) The Assumption That the Mind Is a Formal System

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

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

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

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

    20) Mathematical Logic Provides the Basis for Theory in AI

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

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

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

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

    22) Definitions of Artificial Intelligence

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

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

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

    24) Computers Will Not Always Be Inferior to Human Brains

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

Historical dictionary of quotations in cognitive science > Artificial Intelligence
18 bounded

1) граничить
2) ограниченный
3) ограниченно
4) разграниченный
5) связанный ∙ absolutely bounded form ≈ абсолютно ограниченная форма absolutely bounded function ≈ ограниченная по абсолютной величине функция absolutely bounded matrix ≈ абсолютно ограниченная матрица algebra of bounded representation type ≈ алгебра с ограниченными степенями представлений algebra of linearly bounded degree ≈ алгебра линейно ограниченной степени almost bounded function ≈ функция, ограниченная почти всюду bounded above function ≈ ограниченная сверху функция bounded above operator ≈ ограниченый сверху оператор bounded above subset ≈ ограниченное сверху подмножество bounded below function ≈ ограниченная снизу функция bounded below operator ≈ ограниченный снизу оператор bounded below subset ≈ ограниченное снизу подмножество bounded closed interval ≈ ограниченный замкнутый интервал bounded distance decoding ≈ декодирование с ограниченным расстоянием bounded from one side ≈ полуограниченный bounded open interval ≈ ограниченный открытый интервал bounded partial quotient ≈ ограниченное неполное частное bounded pure subgroup ≈ ограниченная сервантная подгруппа bounded random variable ≈ ограниченная случайная величина bounded universal hypothesis ≈ ограниченная универсальная гипотеза bounded variable technique ≈ метод ограниченной переменной collectively bounded set ≈ ограниченное в совокупности множество completely bounded set ≈ вполне ограниченное множество completely bounded space ≈ вполне органическое пространство completely bounded statistic ≈ вполне ограниченная статистика derivative of bounded variation ≈ производная с ограниченной вариацией doubly bounded quantifier ≈ ограниченный с двух сторон квантор essentially bounded function ≈ существенно ограниченная функция essentially bounded random variable ≈ существенно ограниченная случайная величина essentially bounded sequence ≈ существенно ограниченная последовательность explicitly bounded function ≈ явно ограниченная функция finitely bounded germ ≈ конечно ограниченный росток function of bounded characteristic ≈ функция с ограниченной характеристикой function of bounded type ≈ функция ограниченного вида function of bounded variation ≈ функция с ограниченным изменением linearly bounded automaton ≈ линейно ориентированный автомат linearly bounded set ≈ линейно ограниченное множество locally bounded curvature ≈ локально ограниченная кривизна locally bounded density ≈ локально ограниченная плотность locally bounded function ≈ локально ограниченная функция locally bounded game ≈ локально ограниченная игра locally bounded space ≈ локально ограниченное пространство metrically bounded functional ≈ метрически ограниченный функционал metrically bounded set ≈ метрически ограниченное множество nontangentially bounded function ≈ нетангенциально ограниченная функция nontangentially bounded integral ≈ некасательно ограниченный интеграл order bounded functional ≈ ограниченный по упорядоченности функционал pointwise bounded function ≈ точечно ограниченная функция polynomially bounded function ≈ полиномиально ограниченная функция process with bounded aftereffect ≈ процесс с ограниченным последействием progressively bounded graph ≈ прогрессивно ограниченный граф recursively bounded quantifier ≈ рекурсивно ограниченный квантор regressively bounded graph ≈ регрессивно ограниченный граф relatively bounded form ≈ относительно ограниченная форма sequentially bounded net ≈ последовательно ограниченная сеть simply bounded subset ≈ поточечно ограниченное подмножество smoothly bounded region ≈ гладко ограниченная область stochastically bounded sequence ≈ стохастически ограниченная последовательность strictly bounded set ≈ строго ограниченное множество strongly bounded set ≈ сильно ограниченное множество strongly bounded space ≈ сильно ограниченное пространство theor of semigroups of linear bounded operators ≈ теория полугрупп линейных ограниченных операторов topology of bounded convergence ≈ топология ограниченной сходимости totally bounded measure ≈ вполне ограниченная мера totally bounded set ≈ вполне ограниченное множество totally bounded space ≈ вполне ограниченное пространство totally bounded subset ≈ вполне ограниченное подмножество totally bounded uniformity ≈ вполне ограниченная равномерность uniformly bounded convergence ≈ равномерно ограниченная сходимость uniformly bounded curvature ≈ равномерно ограниченная кривизна uniformly bounded error ≈ равномерно ограниченная ошибка uniformly bounded family ≈ равномерно ограниченное семейство uniformly bounded function ≈ равномерно ограниченная функция uniformly bounded kernel ≈ равномерно ограниченное ядро uniformly bounded sequence ≈ равномерно ограниченная последовательность uniformly bounded series ≈ равномерно ограниченный ряд uniformly bounded set ≈ равномерно ограниченное множество uniformly bounded variation ≈ равномерно ограниченная вариация weakly bounded set ≈ слабо ограниченное множество weakly bounded subset ≈ слабо ограниченное подмножество - almost bounded - bounded above - bounded acceptor - bounded accuracy - bounded adele - bounded aggregate - bounded approximation - bounded automaton - bounded axonometry - bounded below - bounded characteristic - bounded collection - bounded compactness - bounded completeness - bounded continuum - bounded convergence - bounded curvature - bounded decomposition - bounded deficiency - bounded degree - bounded derivation - bounded derivative - bounded deviation - bounded difference - bounded distribution - bounded domain - bounded duality - bounded extension - bounded field - bounded flow - bounded form - bounded frontier - bounded function - bounded functional - bounded group - bounded homomorphism - bounded index - bounded integral - bounded integrand - bounded intersection - bounded invertibility - bounded kernel - bounded language - bounded lattice - bounded mapping - bounded martingale - bounded matrix - bounded measure - bounded metric - bounded module - bounded monotonicity - bounded morphism - bounded motion - bounded network - bounded norm - bounded operator - bounded order - bounded path - bounded polyhedron - bounded potential - bounded predicate - bounded problem - bounded product - bounded projection - bounded quality - bounded quantification - bounded quantifier - bounded quantity - bounded quotient - bounded region - bounded representation - bounded retract - bounded semigroup - bounded sequence - bounded series - bounded set - bounded solution - bounded space - bounded spectrum - bounded spline - bounded string - bounded subset - bounded subtraction - bounded sum - bounded summand - bounded support - bounded term - bounded topology - bounded transformation - bounded utility - bounded variance - bounded variation - bounded varying - bounded vector - essentially bounded - explicitly bounded - exponentially bounded - power bounded - uniformly bounded - weakly bounded (математика) ограниченный

Большой англо-русский и русско-английский словарь > bounded
19 disarmament

dɪsˈɑ:məmənt сущ. демилитаризация, разоружение general, universal disarmament ≈ полное разоружение multilateral disarmament ≈ многостороннее разоружение nuclear disarmament ≈ ядерное разоружение unilateral disarmament ≈ одностороннее разоружение разоружение - general and complete * всеобщее и полное разоружение - partial * частичное разоружение - * problem проблема разоружения - * conference конференция по вопросам разоружения disarmament разоружение

Большой англо-русский и русско-английский словарь > disarmament
20 spacious

ˈspeɪʃəs прил.
1) просторный, обширный;
поместительный Syn: roomy, loose
2) всеобъемлющий, разносторонний, широкий Syn: universal, all-embracing обширный, просторный;
поместительный - * hall вместительный зал широкий, всеохватывающий - * mind высокий интеллект - a * history of Rome обстоятельный труд по истории Рима - a * approach to a problem широкий взгляд на проблему великолепный, роскошный - * existence жизнь на широкую ногу - * times( историческое) пора расцвета (о времени королевы Елизаветы I) spacious всеобъемлющий, широкий, разносторонний;
spacious mind широкий кругозор ~ просторный, обширный;
поместительный spacious всеобъемлющий, широкий, разносторонний;
spacious mind широкий кругозор

Большой англо-русский и русско-английский словарь > spacious

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universal problem

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universal problem

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