Перевод: с английского на все языки

со всех языков на английский

it has no basis in fact

  • 1 basis

    'beisis
    plural - bases; noun
    (that on which a thing rests or is founded: This idea is the basis of my argument.) base, cimientos, piedra angular
    basis n base
    what is the basis for your argument? ¿cuál es la base de tu razonamiento?
    tr['beɪsɪs]
    noun (pl bases tr['beɪsiːz])
    1 base nombre femenino, fundamento
    ■ on a weekly basis semanalmente, cada semana
    \
    SMALLIDIOMATIC EXPRESSION/SMALL
    on the basis of... (according to) según 2 (in accordance with) de acuerdo con 3 (starting from) a partir de 2 (because of) por, a causa de
    basis ['beɪsəs] n, pl bases [-.si:z]
    1) base: base f, pilar m
    2) foundation: fundamento m, base f
    3)
    on a weekly basis : semanalmente
    n.
    • basa s.f.
    • base s.m.
    • cimiento s.m.
    • dato s.m.
    • fundamento s.m.
    'beɪsəs, 'beɪsɪs
    noun (pl bases 'beɪsiːz)
    1) c u (foundation, grounds) base f

    on what basis do you make these assertions? — ¿en qué se basa usted para afirmar eso?

    on the basis that... — partiendo de la base de que...

    2) (system, level) (no pl)

    we meet on a regular/monthly basis — nos reunimos regularmente/mensualmente

    on a regional/national basis — a nivel regional/nacional

    ['beɪsɪs]
    1.
    N
    (pl bases) (=foundation) base f

    on a daily basis — diariamente, a base diaria

    2.
    CPD

    basis point N — (Econ) punto m base or básico

    * * *
    ['beɪsəs, 'beɪsɪs]
    noun (pl bases ['beɪsiːz])
    1) c u (foundation, grounds) base f

    on what basis do you make these assertions? — ¿en qué se basa usted para afirmar eso?

    on the basis that... — partiendo de la base de que...

    2) (system, level) (no pl)

    we meet on a regular/monthly basis — nos reunimos regularmente/mensualmente

    on a regional/national basis — a nivel regional/nacional

    English-spanish dictionary > basis

  • 2 fact

    fækt
    1) (something known or believed to be true: It is a fact that smoking is a danger to health.) hecho
    2) (reality: fact or fiction.) realidad
    •
    - factual
    - factually
    - as a matter of fact
    - in fact
    - in point of fact
    fact n hecho
    tr[fækt]
    1 (event, happening) hecho
    ■ fact or fiction? ¿realidad o ficción?
    \
    SMALLIDIOMATIC EXPRESSION/SMALL
    as a matter of fact en realidad
    for a fact a ciencia cierta
    in fact de hecho, en realidad
    it's a fact of life es la realidad
    the fact of the matter is that... el hecho es que..., lo cierto es que...
    the fact remains that... a pesar de eso..., no obstante...
    the facts speak for themselves los hechos hablan por sí mismos
    fact sheet hoja informativa
    the facts of life euphemistic use (sex) los misterios de la vida
    fact ['fækt] n
    1) : hecho m
    2) information: información f, datos mpl
    facts and figures: datos y cifras
    3) reality: realidad f
    in fact: en realidad
    n.
    • dato s.m.
    • hecho s.m.
    • realidad s.f.
    fækt
    1) c ( something true) hecho m

    she got her facts right/wrong — su información era correcta/incorrecta

    hard facts — datos mpl concretos

    if it wasn't for the fact that he's my son... — si no fuera porque es mi hijo...

    I know for a fact that... — sé a ciencia cierta que...

    2)
    a) u (truth, reality)

    in fact — de hecho, en realidad

    as a matter of fact: I do know her, as a matter of fact she's one of my best friends sí que la conozco, (de hecho) es muy amiga mía; in point of fact de hecho; the fact of the matter is (that)... — el hecho es que...

    b) c ( criminal event) ( Law)
    [fækt]
    1. N
    1) (=detail, circumstance) hecho m

    the fact that... — el hecho de que...

    • their priority is to establish the facts of the case — su prioridad es esclarecer los hechos or lo que ocurrió realmente

    • hard facts — hechos mpl innegables

    • to stick to the facts — atenerse a los hechos

    2) (=piece of information) dato m

    • facts and figures — datos mpl

    • get your facts right before you start accusing people — infórmate bien antes de empezar a acusar a la gente

    • he accused her of getting her facts wrong — la acusó de no contar con la información correcta

    3) (=reality) realidad f

    the fact remains that... — la realidad sigue siendo que...

    the fact (of the matter) is that... — la verdad or el hecho es que...

    • it has no basis in fact — carece de base (real)

    it's a fact that... — es un hecho que...

    • to face (the) facts — enfrentarse a la realidad or los hechos

    • to know for a fact that... — saber a ciencia cierta que...

    • in fact — de hecho

    it sounds simple, but in fact it's very difficult — parece sencillo, pero de hecho or en realidad es muy difícil

    • I don't like it, as a matter of fact I'm totally against it — no me gusta, de hecho estoy totalmente en contra

    "don't tell me you like it" - "as a matter of fact I do" — -no me digas que te gusta -pues sí, la verdad es que sí

    • they're very alike, in point of fact you can't tell the difference — son muy parecidos, de hecho no puedes distinguirlos

    • is that a fact! — iro ¡no me digas!

    he's a dull writer, and that's a fact — es un escritor aburrido, eso no hay quien lo discuta

    face 2., 3)
    4) (Jur) (=event)

    • before/ after the fact — antes/después de los hechos

    accessory
    2.
    CPD

    fact sheet N — hoja f informativa, informe m

    * * *
    [fækt]
    1) c ( something true) hecho m

    she got her facts right/wrong — su información era correcta/incorrecta

    hard facts — datos mpl concretos

    if it wasn't for the fact that he's my son... — si no fuera porque es mi hijo...

    I know for a fact that... — sé a ciencia cierta que...

    2)
    a) u (truth, reality)

    in fact — de hecho, en realidad

    as a matter of fact: I do know her, as a matter of fact she's one of my best friends sí que la conozco, (de hecho) es muy amiga mía; in point of fact de hecho; the fact of the matter is (that)... — el hecho es que...

    b) c ( criminal event) ( Law)

    English-spanish dictionary > fact

  • 3 fact ***** n

    [fækt]

    it's a fact that... — è un dato di fatto che...

    to know for a fact that... — sapere per certo che...

    the facts of life — (sex) i fatti riguardanti la vita sessuale, (realities) le realtà della vita

    facts and figures — fatti mpl e cifre fpl

    as a matter of fact; in point of fact — per la verità

    the fact (of the matter) is that... — la verità è che...

    in fact — in realtà, in effetti

    English-Italian dictionary > fact ***** n

  • 4 Creativity

       Put in this bald way, these aims sound utopian. How utopian they areor rather, how imminent their realization-depends on how broadly or narrowly we interpret the term "creative." If we are willing to regard all human complex problem solving as creative, then-as we will point out-successful programs for problem solving mechanisms that simulate human problem solvers already exist, and a number of their general characteristics are known. If we reserve the term "creative" for activities like discovery of the special theory of relativity or the composition of Beethoven's Seventh Symphony, then no example of a creative mechanism exists at the present time. (Simon, 1979, pp. 144-145)
       Among the questions that can now be given preliminary answers in computational terms are the following: how can ideas from very different sources be spontaneously thought of together? how can two ideas be merged to produce a new structure, which shows the influence of both ancestor ideas without being a mere "cut-and-paste" combination? how can the mind be "primed," so that one will more easily notice serendipitous ideas? why may someone notice-and remember-something fairly uninteresting, if it occurs in an interesting context? how can a brief phrase conjure up an entire melody from memory? and how can we accept two ideas as similar ("love" and "prove" as rhyming, for instance) in respect of a feature not identical in both? The features of connectionist AI models that suggest answers to these questions are their powers of pattern completion, graceful degradation, sensitization, multiple constraint satisfaction, and "best-fit" equilibration.... Here, the important point is that the unconscious, "insightful," associative aspects of creativity can be explained-in outline, at least-by AI methods. (Boden, 1996, p. 273)
       There thus appears to be an underlying similarity in the process involved in creative innovation and social independence, with common traits and postures required for expression of both behaviors. The difference is one of product-literary, musical, artistic, theoretical products on the one hand, opinions on the other-rather than one of process. In both instances the individual must believe that his perceptions are meaningful and valid and be willing to rely upon his own interpretations. He must trust himself sufficiently that even when persons express opinions counter to his own he can proceed on the basis of his own perceptions and convictions. (Coopersmith, 1967, p. 58)
       he average level of ego strength and emotional stability is noticeably higher among creative geniuses than among the general population, though it is possibly lower than among men of comparable intelligence and education who go into administrative and similar positions. High anxiety and excitability appear common (e.g. Priestley, Darwin, Kepler) but full-blown neurosis is quite rare. (Cattell & Butcher, 1970, p. 315)
       he insight that is supposed to be required for such work as discovery turns out to be synonymous with the familiar process of recognition; and other terms commonly used in the discussion of creative work-such terms as "judgment," "creativity," or even "genius"-appear to be wholly dispensable or to be definable, as insight is, in terms of mundane and well-understood concepts. (Simon, 1989, p. 376)
       From the sketch material still in existence, from the condition of the fragments, and from the autographs themselves we can draw definite conclusions about Mozart's creative process. To invent musical ideas he did not need any stimulation; they came to his mind "ready-made" and in polished form. In contrast to Beethoven, who made numerous attempts at shaping his musical ideas until he found the definitive formulation of a theme, Mozart's first inspiration has the stamp of finality. Any Mozart theme has completeness and unity; as a phenomenon it is a Gestalt. (Herzmann, 1964, p. 28)
       Great artists enlarge the limits of one's perception. Looking at the world through the eyes of Rembrandt or Tolstoy makes one able to perceive aspects of truth about the world which one could not have achieved without their aid. Freud believed that science was adaptive because it facilitated mastery of the external world; but was it not the case that many scientific theories, like works of art, also originated in phantasy? Certainly, reading accounts of scientific discovery by men of the calibre of Einstein compelled me to conclude that phantasy was not merely escapist, but a way of reaching new insights concerning the nature of reality. Scientific hypotheses require proof; works of art do not. Both are concerned with creating order, with making sense out of the world and our experience of it. (Storr, 1993, p. xii)
       The importance of self-esteem for creative expression appears to be almost beyond disproof. Without a high regard for himself the individual who is working in the frontiers of his field cannot trust himself to discriminate between the trivial and the significant. Without trust in his own powers the person seeking improved solutions or alternative theories has no basis for distinguishing the significant and profound innovation from the one that is merely different.... An essential component of the creative process, whether it be analysis, synthesis, or the development of a new perspective or more comprehensive theory, is the conviction that one's judgment in interpreting the events is to be trusted. (Coopersmith, 1967, p. 59)
       In the daily stream of thought these four different stages [preparation; incubation; illumination or inspiration; and verification] constantly overlap each other as we explore different problems. An economist reading a Blue Book, a physiologist watching an experiment, or a business man going through his morning's letters, may at the same time be "incubating" on a problem which he proposed to himself a few days ago, be accumulating knowledge in "preparation" for a second problem, and be "verifying" his conclusions to a third problem. Even in exploring the same problem, the mind may be unconsciously incubating on one aspect of it, while it is consciously employed in preparing for or verifying another aspect. (Wallas, 1926, p. 81)
       he basic, bisociative pattern of the creative synthesis [is] the sudden interlocking of two previously unrelated skills, or matrices of thought. (Koestler, 1964, p. 121)
        11) The Earliest Stages in the Creative Process Involve a Commerce with Disorder
       Even to the creator himself, the earliest effort may seem to involve a commerce with disorder. For the creative order, which is an extension of life, is not an elaboration of the established, but a movement beyond the established, or at least a reorganization of it and often of elements not included in it. The first need is therefore to transcend the old order. Before any new order can be defined, the absolute power of the established, the hold upon us of what we know and are, must be broken. New life comes always from outside our world, as we commonly conceive that world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." (Ghiselin, 1985, p. 4)
       New life comes always from outside our world, as we commonly conceive our world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." Chaos and disorder are perhaps the wrong terms for that indeterminate fullness and activity of the inner life. For it is organic, dynamic, full of tension and tendency. What is absent from it, except in the decisive act of creation, is determination, fixity, and commitment to one resolution or another of the whole complex of its tensions. (Ghiselin, 1952, p. 13)
       [P]sychoanalysts have principally been concerned with the content of creative products, and with explaining content in terms of the artist's infantile past. They have paid less attention to examining why the artist chooses his particular activity to express, abreact or sublimate his emotions. In short, they have not made much distinction between art and neurosis; and, since the former is one of the blessings of mankind, whereas the latter is one of the curses, it seems a pity that they should not be better differentiated....
       Psychoanalysis, being fundamentally concerned with drive and motive, might have been expected to throw more light upon what impels the creative person that in fact it has. (Storr, 1993, pp. xvii, 3)
       A number of theoretical approaches were considered. Associative theory, as developed by Mednick (1962), gained some empirical support from the apparent validity of the Remote Associates Test, which was constructed on the basis of the theory.... Koestler's (1964) bisociative theory allows more complexity to mental organization than Mednick's associative theory, and postulates "associative contexts" or "frames of reference." He proposed that normal, non-creative, thought proceeds within particular contexts or frames and that the creative act involves linking together previously unconnected frames.... Simonton (1988) has developed associative notions further and explored the mathematical consequences of chance permutation of ideas....
       Like Koestler, Gruber (1980; Gruber and Davis, 1988) has based his analysis on case studies. He has focused especially on Darwin's development of the theory of evolution. Using piagetian notions, such as assimilation and accommodation, Gruber shows how Darwin's system of ideas changed very slowly over a period of many years. "Moments of insight," in Gruber's analysis, were the culminations of slow long-term processes.... Finally, the information-processing approach, as represented by Simon (1966) and Langley et al. (1987), was considered.... [Simon] points out the importance of good problem representations, both to ensure search is in an appropriate problem space and to aid in developing heuristic evaluations of possible research directions.... The work of Langley et al. (1987) demonstrates how such search processes, realized in computer programs, can indeed discover many basic laws of science from tables of raw data.... Boden (1990a, 1994) has stressed the importance of restructuring the problem space in creative work to develop new genres and paradigms in the arts and sciences. (Gilhooly, 1996, pp. 243-244; emphasis in original)

    Historical dictionary of quotations in cognitive science > Creativity

  • 5 firm

    I fə:m adjective
    1) ((fixed) strong and steady: a firm handshake.) firme, sólido
    2) (decided; not changing one's mind: a firm refusal.) firme
    •

    II fə:m noun
    (a business company: an engineering firm.) empresa
    firm1 adj firme
    firm2 n empresa / firma
    tr[fɜːm]
    1 (strong, solid, steady) firme, sólido,-a
    2 (definite, not changing) firme, en firme
    3 (strict, strong) duro,-a
    4 SMALLFINANCE/SMALL (steady) firme, estable
    \
    SMALLIDIOMATIC EXPRESSION/SMALL
    to be on firm ground estar seguro,-a
    ————————
    tr[fɜːm]
    1 (business) empresa
    firm ['fərm] vi
    : endurecer
    firm adj
    1) vigorous: fuerte, vigoroso
    2) solid, unyielding: firme, duro, sólido
    3) unchanging: firme, inalterable
    4) resolute: firme, resuelto
    firm n
    : empresa f, firma f, compañía f
    adj.
    • duro, -a adj.
    • en firme adj.
    • fijo, -a adj.
    • firme adj.
    • fuerte adj.
    • inmoble adj.
    • sólido, -a adj.
    • tenaz adj.
    • tieso, -a adj.
    n.
    • comercio s.m.
    • empresa s.f.
    • firma s.f.
    • sociedad s.f.
    v.
    • poner firme v.

    I fɜːrm, fɜːm
    1)
    a) ( secure) < grasp> firme
    b) ( not yielding) <surface/muscles> firme; < mattress> duro; < foundation> sólido
    c) ( not declining) <currency/market> firme, fuerte
    2)
    a) ( steadfast) < friendship> sólido; < support> firme
    b) ( strict) estricto, firme

    to take a firm line o stand on something — ponerse* firme sobre algo

    3) ( definite) <offer/date> en firme

    II
    noun empresa f, firma f, compañía f

    III
    transitive verb firm (up) \<\<muscles\>\> endurecer*
    Phrasal Verbs:

    I [fɜːm]
    1. ADJ
    (compar firmer) (superl firmest)
    1) (=solid) [base] firme, sólido; [mattress, stomach, thighs] duro; (=secure) [hold] firme, seguro

    to be on firm ground — (fig) pisar terreno firme

    2) (=staunch) [belief, support] firme; [friends] íntimo; [friendship] sólido

    she's a firm believer in justice/discipline — cree firmemente en la justicia/la disciplina

    3) (=resolute, decisive) [decision, measures] firme; [voice] seguro, firme; [steps] decidido, resuelto
    4) (=severe) estricto, firme

    to be firm with sb — ser estricto or firme con algn

    a firm hand: this horse needs a firm hand — a este caballo hay que tratarlo con firmeza

    5) (=definite) [offer, order] en firme; [evidence] concluyente, contundente
    6) (=set) firme
    7) (Econ) (=not subject to change) [price] estable
    2.
    ADV

    II
    [fɜːm]
    N firma f, empresa f

    a firm of accountants — una firma or empresa de contabilidad

    * * *

    I [fɜːrm, fɜːm]
    1)
    a) ( secure) < grasp> firme
    b) ( not yielding) <surface/muscles> firme; < mattress> duro; < foundation> sólido
    c) ( not declining) <currency/market> firme, fuerte
    2)
    a) ( steadfast) < friendship> sólido; < support> firme
    b) ( strict) estricto, firme

    to take a firm line o stand on something — ponerse* firme sobre algo

    3) ( definite) <offer/date> en firme

    II
    noun empresa f, firma f, compañía f

    III
    transitive verb firm (up) \<\<muscles\>\> endurecer*
    Phrasal Verbs:

    English-spanish dictionary > firm

  • 6 Artificial Intelligence

       In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)
       Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)
       Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....
       When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)
       4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, Eventually
       Just as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)
       Many problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)
       What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)
       [AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)
       The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)
       9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract Form
       The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)
       There are many different kinds of reasoning one might imagine:
        Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."
        Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)
       Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)
       Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)
       The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)
        14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory Formation
       It is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)
       We might distinguish among four kinds of AI.
       Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.
       Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.
    ... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)
       Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)
        16) Determination of Relevance of Rules in Particular Contexts
       Even if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)
       Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)
        18) The Assumption That the Mind Is a Formal System
       Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)
        19) A Statement of the Primary and Secondary Purposes of Artificial Intelligence
       The primary goal of Artificial Intelligence is to make machines smarter.
       The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)
       The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....
       AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)
        21) Perceptual Structures Can Be Represented as Lists of Elementary Propositions
       In artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)
       Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)
       Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)
       The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)

    Historical dictionary of quotations in cognitive science > Artificial Intelligence

  • 7 Language

       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)
       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)
       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)
       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)
       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)
       [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)
       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)
       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)
       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)
       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)
       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)
       [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)
       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)
       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)
       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)
        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)
       A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)
       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)
       It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)
       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)
       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)
       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)
       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

  • 8 base

    I
    1. beis noun
    1) (the foundation, support, or lowest part (of something), or the surface on which something is standing: the base of the statue; the base of the triangle; the base of the tree.) base
    2) (the main ingredient of a mixture: This paint has oil as a base.) base
    3) (a headquarters, starting-point etc: an army base.) base

    2. verb
    ((often with on) to use as a foundation, starting-point etc: I base my opinion on evidence; Our group was based in Paris.) basar, establecer

    II beis adjective
    (wicked or worthless: base desires.) bajo, vil
    - baseness
    base1 n
    1. base / pie
    2. base / sede
    base2 vb
    1. basar / basarse
    2. tener la base

    Del verbo basar: ( conjugate basar) \ \
    basé es: \ \
    1ª persona singular (yo) pretérito indicativo

    base es: \ \
    1ª persona singular (yo) presente subjuntivo
    3ª persona singular (él/ella/usted) presente subjuntivo
    3ª persona singular (él/ella/usted) imperativo
    Multiple Entries: basar     base
    basar ( conjugate basar) verbo transitivo ‹teoría/idea› base algo en algo to base sth on sth basarse verbo pronominal
    a) [ persona] basese EN algo:
    ◊ ¿en qué te basas para decir eso? and what basis o grounds do you have for saying that?;
    se basó en esos datos he based his argument (o theory etc) on that information
    b) [teoría/creencia/idea/opinión] basese EN algo to be based on sth

    base sustantivo femenino 1
    b) tb
    2 tengo suficiente base para asegurar eso I have sufficient grounds to claim that; sentar las bases de algo to lay the foundations of sth; tomar algo como base to take sth as a starting point llegó al curso sin ninguna base he didn't have the basics when he began the course; base de datos database 3 ( en locs)
    ◊ a base de: un régimen a base de verdura a vegetable-based diet;
    vive a base de pastillas he lives on pills 4 ( centro de operaciones) base;
    ◊ base aérea/naval/militar air/naval/military base
    5
    ◊ bases sustantivo femenino plural ( de concurso) rules (pl)
    6
    b)
    ◊ base sustantivo masculino y femenino ( en baloncesto) guard

    basar verbo transitivo to base [en, on]
    base
    I sustantivo femenino
    1 base
    2 (fundamento de una teoría, de un argumento) basis, (motivo) grounds: tus quejas no tienen base alguna, your complaints are groundless
    3 (conocimientos previos) grounding: tiene muy mala base en matemáticas, he's got a very poor grasp of maths
    4 Mil base
    base aérea/naval, air/naval base
    5 Inform base de datos, data base
    II fpl
    1 Pol the grass roots: las bases no apoyan al candidato, the candidate didn't get any grass-roots support
    2 (de un concurso) rules Locuciones: a base de: la fastidiaron a base de bien, they really messed her about
    a base de estudiar consiguió aprobar, he passed by studying
    a base de extracto de camomila, using camomile extract ' base' also found in these entries: Spanish: baja - bajo - basar - columpiarse - concentración - esquema - fundar - fundamentar - fundarse - innoble - mantenerse - pie - salario - somier - subsistir - tejemaneje - asiento - banco - bastardo - cimentar - fundamento - inicial - mantener - rejilla - sueldo English: air base - base - basis - circuit board - cornerstone - data base - decision making - fatty - foundation - from - grounding - rank - rationale - roll out - stand - undercoat - work - air - ball - base pay - bed - cover - data - educated - found - French - go - ground - hard - home - model - pickle - primary - report - rocky - sordid - squash - staple - starchy - taxable - under
    tr[beɪs]
    1 bajo,-a, vil
    2 (metal) común, de baja ley
    ————————
    tr[beɪs]
    2 SMALLARCHITECTURE/SMALL (of column) basa, base nombre femenino
    1 basar
    2 SMALLMILITARY/SMALL (troops) estacionar
    \
    SMALLIDIOMATIC EXPRESSION/SMALL
    to be based in (troops) tener la base en
    to get to first base superar el primer reto
    base rate tipo base
    base ['beɪs] vt, based ; basing : basar, fundamentar, establecer
    base adj, baser ; basest
    1) : de baja ley (dícese de un metal)
    2) contemptible: vil, despreciable
    base n, pl bases : base f
    adj.
    • bajo, -a adj.
    • base adj.
    • canallesco, -a adj.
    • humilde adj.
    • marrano, -a adj.
    • rastrero, -a adj.
    • ratero, -a adj.
    • ruin adj.
    • soez adj.
    • sucio, -a adj.
    • vil adj.
    n.
    • base s.m.
    • peana s.f.
    • pie s.m.
    • soporte s.m.
    v.
    • basar v.
    • basarse v.
    • fundar v.
    • vincular v.

    I beɪs
    1)
    a) (of column, wall) base f, basa f; (of mountain, tree) pie m; (of spine, skull) base f
    b) ( of lamp) pie m
    2) (foundation, basis) base f
    3)
    a) (of patrol, for excursion) base f
    b) base (camp) ( for expedition) campamento m base
    c) ( of organization) sede f
    4) ( Culin) ( main ingredient) base f

    dishes with a rice base — platos mpl a base de arroz

    5) (Chem, Math) base f
    6) ( in baseball) base f

    to be off base — ( wrong) (AmE) estar* equivocado; (lit: in baseball) estar* fuera de (la) base

    to catch somebody off base — ( by surprise) (AmE) pillar or (AmL) agarrar a alguien desprevenido; (lit: in baseball) pillar or (AmL) agarrar a alguien fuera de (la) base

    to touch base: I called them, just to touch base — los llamé, para mantener el contacto


    II
    1) ( found)

    to base something on o upon something — \<\<opinion/conclusion\>\> basar or fundamentar algo en algo

    the movie is based on a real event — la película se basa or está basada en una historia real

    2) ( locate) basar

    he's/the company is based in Madrid — tiene/la compañía tiene su base en Madrid

    where are you based now? — ¿dónde estás (or vives etc) ahora?


    III
    adjective baser, basest
    a) <conduct/motive> abyecto, innoble, vil
    b) ( inferior)

    base metal — metal m de baja ley


    I [beɪs]
    1. N
    1) (=bottom, support) [of wall] base f ; [of column] base f, pie m ; [of vase, lamp] pie m
    2) (=basis, starting point) base f
    3) (Mil) base f ; [of organization, company] sede f ; (=residence) lugar m de residencia; (=workplace) base f
    4) (Baseball) base f
    - get to or reach first base
    - touch base with sb
    - touch or cover all the bases

    to be off base (US) * —

    5) (Math) base f
    6) (Drugs) * cocaína f (para fumar)
    2. VT
    1) (=post, locate)

    to base sb at — [+ troops] estacionar a algn en

    where are you based now? — ¿dónde estás ahora?

    2) (=found) [+ opinion, relationship]

    to base sth on — basar or fundar algo en

    to be based on — basarse or fundarse en

    3.
    CPD

    base camp N — campo m base

    base coat N — [of paint] primera capa f

    base form N — (Ling) base f derivativa

    base jumping N — salto en paracaídas realizado ilegalmente desde rascacielos, puentes etc

    base lending rate N — tipo m de interés base

    base period N — período m base

    base rate N — tipo m de interés base

    base station N — (Telec) base f ; (Rad) estación f base


    II
    [beɪs]
    (compar baser) (superl basest) ADJ
    1) [action, motive] vil, bajo
    2) [metal] bajo de ley
    3) (US) = bass I, 1.
    * * *

    I [beɪs]
    1)
    a) (of column, wall) base f, basa f; (of mountain, tree) pie m; (of spine, skull) base f
    b) ( of lamp) pie m
    2) (foundation, basis) base f
    3)
    a) (of patrol, for excursion) base f
    b) base (camp) ( for expedition) campamento m base
    c) ( of organization) sede f
    4) ( Culin) ( main ingredient) base f

    dishes with a rice base — platos mpl a base de arroz

    5) (Chem, Math) base f
    6) ( in baseball) base f

    to be off base — ( wrong) (AmE) estar* equivocado; (lit: in baseball) estar* fuera de (la) base

    to catch somebody off base — ( by surprise) (AmE) pillar or (AmL) agarrar a alguien desprevenido; (lit: in baseball) pillar or (AmL) agarrar a alguien fuera de (la) base

    to touch base: I called them, just to touch base — los llamé, para mantener el contacto


    II
    1) ( found)

    to base something on o upon something — \<\<opinion/conclusion\>\> basar or fundamentar algo en algo

    the movie is based on a real event — la película se basa or está basada en una historia real

    2) ( locate) basar

    he's/the company is based in Madrid — tiene/la compañía tiene su base en Madrid

    where are you based now? — ¿dónde estás (or vives etc) ahora?


    III
    adjective baser, basest
    a) <conduct/motive> abyecto, innoble, vil
    b) ( inferior)

    base metal — metal m de baja ley

    English-spanish dictionary > base

  • 9 near cash

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

    Англо-русский экономический словарь > near cash

  • 10 Psychoanalysis

       [Psychoanalysis] seeks to prove to the ego that it is not even master in its own house, but must content itself with scanty information of what is going on unconsciously in the mind. (Freud, 1953-1974, Vol. 16, pp. 284-285)
       Although in the interview the analyst is supposedly a "passive" auditor of the "free association" narration by the subject, in point of fact the analyst does direct the course of the narrative. This by itself does not necessarily impair the evidential worth of the outcome, for even in the most meticulously conducted laboratory experiment the experimenter intervenes to obtain the data he is after. There is nevertheless the difficulty that in the nature of the case the full extent of the analyst's intervention is not a matter that is open to public scrutiny, so that by and large one has only his own testimony as to what transpires in the consulting room. It is perhaps unnecessary to say that this is not a question about the personal integrity of psychoanalytic practitioners. The point is the fundamental one that no matter how firmly we may resolve to make explicit our biases, no human being is aware of all of them, and that objectivity in science is achieved through the criticism of publicly accessible material by a community of independent inquirers.... Moreover, unless data are obtained under carefully standardized circumstances, or under different circumstances whose dependence on known variables is nevertheless established, even an extensive collection of data is an unreliable basis for inference. To be sure, analysts apparently do attempt to institute standard conditions for the conduct of interviews. But there is not much information available on the extent to which the standardization is actually enforced, or whether it relates to more than what may be superficial matters. (E. Nagel, 1959, pp. 49-50)
       3) No Necessary Incompatibility between Psychoanalysis and Certain Religious Formulations
       here would seem to be no necessary incompatibility between psychoanalysis and those religious formulations which locate God within the self. One could, indeed, argue that Freud's Id (and even more Groddeck's It), the impersonal force within which is both the core of oneself and yet not oneself, and from which in illness one become[s] alienated, is a secular formation of the insight which makes religious people believe in an immanent God. (Ryecroft, 1966, p. 22)
       Freudian analysts emphasized that their theories were constantly verified by their "clinical observations."... It was precisely this fact-that they always fitted, that they were always confirmed-which in the eyes of their admirers constituted the strongest argument in favour of these theories. It began to dawn on me that this apparent strength was in fact their weakness.... It is easy to obtain confirmations or verifications, for nearly every theory-if we look for confirmation. (Popper, 1968, pp. 3435)
       5) Psychoanalysis Is Not a Science But Rather the Interpretation of a Narrated History
       Psychoanalysis does not satisfy the standards of the sciences of observation, and the "facts" it deals with are not verifiable by multiple, independent observers.... There are no "facts" nor any observation of "facts" in psychoanalysis but rather the interpretation of a narrated history. (Ricoeur, 1974, p. 186)
       6) Some of the Qualities of a Scientific Approach Are Possessed by Psychoanalysis
       In sum: psychoanalysis is not a science, but it shares some of the qualities associated with a scientific approach-the search for truth, understanding, honesty, openness to the import of the observation and evidence, and a skeptical stance toward authority. (Breger, 1981, p. 50)
       [Attributes of Psychoanalysis:]
       1. Psychic Determinism. No item in mental life and in conduct and behavior is "accidental"; it is the outcome of antecedent conditions.
       2. Much mental activity and behavior is purposive or goal-directed in character.
       3. Much of mental activity and behavior, and its determinants, is unconscious in character. 4. The early experience of the individual, as a child, is very potent, and tends to be pre-potent over later experience. (Farrell, 1981, p. 25)
       Our sceptic may be unwise enough... to maintain that, because analytic theory is unscientific on his criterion, it is not worth discussing. This step is unwise, because it presupposes that, if a study is not scientific on his criterion, it is not a rational enterprise... an elementary and egregious mistake. The scientific and the rational are not co-extensive. Scientific work is only one form that rational inquiry can take: there are many others. (Farrell, 1981, p. 46)
       Psychoanalysts have tended to write as though the term analysis spoke for itself, as if the statement "analysis revealed" or "it was analyzed as" preceding a clinical assertion was sufficient to establish the validity of what was being reported. An outsider might easily get the impression from reading the psychoanalytic literature that some standardized, generally accepted procedure existed for both inference and evidence. Instead, exactly the opposite has been true. Clinical material in the hands of one analyst can lead to totally different "findings" in the hands of another. (Peterfreund, 1986, p. 128)
       The analytic process-the means by which we arrive at psychoanalytic understanding-has been largely neglected and is poorly understood, and there has been comparatively little interest in the issues of inference and evidence. Indeed, psychoanalysts as a group have not recognized the importance of being bound by scientific constraints. They do not seem to understand that a possibility is only that-a possibility-and that innumerable ways may exist to explain the same data. Psychoanalysts all too often do not seem to distinguish hypotheses from facts, nor do they seem to understand that hypotheses must be tested in some way, that criteria for evidence must exist, and that any given test for any hypothesis must allow for the full range of substantiation/refutation. (Peterfreund, 1986, p. 129)

    Historical dictionary of quotations in cognitive science > Psychoanalysis

  • 11 Philosophy

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

    Historical dictionary of quotations in cognitive science > Philosophy

  • 12 modular data center

    1. модульный центр обработки данных (ЦОД)

     

    модульный центр обработки данных (ЦОД)
    -
    [Интент]

    Параллельные тексты EN-RU

    [ http://loosebolts.wordpress.com/2008/12/02/our-vision-for-generation-4-modular-data-centers-one-way-of-getting-it-just-right/]

    [ http://dcnt.ru/?p=9299#more-9299]

    Data Centers are a hot topic these days. No matter where you look, this once obscure aspect of infrastructure is getting a lot of attention. For years, there have been cost pressures on IT operations and this, when the need for modern capacity is greater than ever, has thrust data centers into the spotlight. Server and rack density continues to rise, placing DC professionals and businesses in tighter and tougher situations while they struggle to manage their IT environments. And now hyper-scale cloud infrastructure is taking traditional technologies to limits never explored before and focusing the imagination of the IT industry on new possibilities.

    В настоящее время центры обработки данных являются широко обсуждаемой темой. Куда ни посмотришь, этот некогда малоизвестный аспект инфраструктуры привлекает все больше внимания. Годами ИТ-отделы испытывали нехватку средств и это выдвинуло ЦОДы в центр внимания, в то время, когда необходимость в современных ЦОДах стала как никогда высокой. Плотность серверов и стоек продолжают расти, все больше усложняя ситуацию для специалистов в области охлаждения и организаций в их попытках управлять своими ИТ-средами. И теперь гипермасштабируемая облачная инфраструктура подвергает традиционные технологии невиданным ранее нагрузкам, и заставляет ИТ-индустрию искать новые возможности.

    At Microsoft, we have focused a lot of thought and research around how to best operate and maintain our global infrastructure and we want to share those learnings. While obviously there are some aspects that we keep to ourselves, we have shared how we operate facilities daily, our technologies and methodologies, and, most importantly, how we monitor and manage our facilities. Whether it’s speaking at industry events, inviting customers to our “Microsoft data center conferences” held in our data centers, or through other media like blogging and white papers, we believe sharing best practices is paramount and will drive the industry forward. So in that vein, we have some interesting news to share.

    В компании MicroSoft уделяют большое внимание изучению наилучших методов эксплуатации и технического обслуживания своей глобальной инфраструктуры и делятся результатами своих исследований. И хотя мы, конечно, не раскрываем некоторые аспекты своих исследований, мы делимся повседневным опытом эксплуатации дата-центров, своими технологиями и методологиями и, что важнее всего, методами контроля и управления своими объектами. Будь то доклады на отраслевых событиях, приглашение клиентов на наши конференции, которые посвящены центрам обработки данных MicroSoft, и проводятся в этих самых дата-центрах, или использование других средств, например, блоги и спецификации, мы уверены, что обмен передовым опытом имеет первостепенное значение и будет продвигать отрасль вперед.

    Today we are sharing our Generation 4 Modular Data Center plan. This is our vision and will be the foundation of our cloud data center infrastructure in the next five years. We believe it is one of the most revolutionary changes to happen to data centers in the last 30 years. Joining me, in writing this blog are Daniel Costello, my director of Data Center Research and Engineering and Christian Belady, principal power and cooling architect. I feel their voices will add significant value to driving understanding around the many benefits included in this new design paradigm.

    Сейчас мы хотим поделиться своим планом модульного дата-центра четвертого поколения. Это наше видение и оно будет основанием для инфраструктуры наших облачных дата-центров в ближайшие пять лет. Мы считаем, что это одно из самых революционных изменений в дата-центрах за последние 30 лет. Вместе со мной в написании этого блога участвовали Дэниел Костелло, директор по исследованиям и инжинирингу дата-центров, и Кристиан Белади, главный архитектор систем энергоснабжения и охлаждения. Мне кажется, что их авторитет придаст больше веса большому количеству преимуществ, включенных в эту новую парадигму проектирования.

    Our “Gen 4” modular data centers will take the flexibility of containerized servers—like those in our Chicago data center—and apply it across the entire facility. So what do we mean by modular? Think of it like “building blocks”, where the data center will be composed of modular units of prefabricated mechanical, electrical, security components, etc., in addition to containerized servers.

    Was there a key driver for the Generation 4 Data Center?

    Наши модульные дата-центры “Gen 4” будут гибкими с контейнерами серверов – как серверы в нашем чикагском дата-центре. И гибкость будет применяться ко всему ЦОД. Итак, что мы подразумеваем под модульностью? Мы думаем о ней как о “строительных блоках”, где дата-центр будет состоять из модульных блоков изготовленных в заводских условиях электрических систем и систем охлаждения, а также систем безопасности и т.п., в дополнение к контейнеризованным серверам.
    Был ли ключевой стимул для разработки дата-центра четвертого поколения?


    If we were to summarize the promise of our Gen 4 design into a single sentence it would be something like this: “A highly modular, scalable, efficient, just-in-time data center capacity program that can be delivered anywhere in the world very quickly and cheaply, while allowing for continued growth as required.” Sounds too good to be true, doesn’t it? Well, keep in mind that these concepts have been in initial development and prototyping for over a year and are based on cumulative knowledge of previous facility generations and the advances we have made since we began our investments in earnest on this new design.

    Если бы нам нужно было обобщить достоинства нашего проекта Gen 4 в одном предложении, это выглядело бы следующим образом: “Центр обработки данных с высоким уровнем модульности, расширяемости, и энергетической эффективности, а также возможностью постоянного расширения, в случае необходимости, который можно очень быстро и дешево развертывать в любом месте мира”. Звучит слишком хорошо для того чтобы быть правдой, не так ли? Ну, не забывайте, что эти концепции находились в процессе начальной разработки и создания опытного образца в течение более одного года и основываются на опыте, накопленном в ходе развития предыдущих поколений ЦОД, а также успехах, сделанных нами со времени, когда мы начали вкладывать серьезные средства в этот новый проект.

    One of the biggest challenges we’ve had at Microsoft is something Mike likes to call the ‘Goldilock’s Problem’. In a nutshell, the problem can be stated as:

    The worst thing we can do in delivering facilities for the business is not have enough capacity online, thus limiting the growth of our products and services.

    Одну из самых больших проблем, с которыми приходилось сталкиваться Майкрософт, Майк любит называть ‘Проблемой Лютика’. Вкратце, эту проблему можно выразить следующим образом:

    Самое худшее, что может быть при строительстве ЦОД для бизнеса, это не располагать достаточными производственными мощностями, и тем самым ограничивать рост наших продуктов и сервисов.

    The second worst thing we can do in delivering facilities for the business is to have too much capacity online.

    А вторым самым худшим моментом в этой сфере может слишком большое количество производственных мощностей.

    This has led to a focus on smart, intelligent growth for the business — refining our overall demand picture. It can’t be too hot. It can’t be too cold. It has to be ‘Just Right!’ The capital dollars of investment are too large to make without long term planning. As we struggled to master these interesting challenges, we had to ensure that our technological plan also included solutions for the business and operational challenges we faced as well.
    So let’s take a high level look at our Generation 4 design

    Это заставило нас сосредоточиваться на интеллектуальном росте для бизнеса — refining our overall demand picture. Это не должно быть слишком горячим. И это не должно быть слишком холодным. Это должно быть ‘как раз, таким как надо!’ Нельзя делать такие большие капиталовложения без долгосрочного планирования. Пока мы старались решить эти интересные проблемы, мы должны были гарантировать, что наш технологический план будет также включать решения для коммерческих и эксплуатационных проблем, с которыми нам также приходилось сталкиваться.
    Давайте рассмотрим наш проект дата-центра четвертого поколения

    Are you ready for some great visuals? Check out this video at Soapbox. Click here for the Microsoft 4th Gen Video.

    It’s a concept video that came out of my Data Center Research and Engineering team, under Daniel Costello, that will give you a view into what we think is the future.

    From a configuration, construct-ability and time to market perspective, our primary goals and objectives are to modularize the whole data center. Not just the server side (like the Chicago facility), but the mechanical and electrical space as well. This means using the same kind of parts in pre-manufactured modules, the ability to use containers, skids, or rack-based deployments and the ability to tailor the Redundancy and Reliability requirements to the application at a very specific level.


    Посмотрите это видео, перейдите по ссылке для просмотра видео о Microsoft 4th Gen:

    Это концептуальное видео, созданное командой отдела Data Center Research and Engineering, возглавляемого Дэниелом Костелло, которое даст вам наше представление о будущем.

    С точки зрения конфигурации, строительной технологичности и времени вывода на рынок, нашими главными целями и задачами агрегатирование всего дата-центра. Не только серверную часть, как дата-центр в Чикаго, но также системы охлаждения и электрические системы. Это означает применение деталей одного типа в сборных модулях, возможность использования контейнеров, салазок, или стоечных систем, а также возможность подстраивать требования избыточности и надежности для данного приложения на очень специфичном уровне.

    Our goals from a cost perspective were simple in concept but tough to deliver. First and foremost, we had to reduce the capital cost per critical Mega Watt by the class of use. Some applications can run with N-level redundancy in the infrastructure, others require a little more infrastructure for support. These different classes of infrastructure requirements meant that optimizing for all cost classes was paramount. At Microsoft, we are not a one trick pony and have many Online products and services (240+) that require different levels of operational support. We understand that and ensured that we addressed it in our design which will allow us to reduce capital costs by 20%-40% or greater depending upon class.


    Нашими целями в области затрат были концептуально простыми, но трудно реализуемыми. В первую очередь мы должны были снизить капитальные затраты в пересчете на один мегаватт, в зависимости от класса резервирования. Некоторые приложения могут вполне работать на базе инфраструктуры с резервированием на уровне N, то есть без резервирования, а для работы других приложений требуется больше инфраструктуры. Эти разные классы требований инфраструктуры подразумевали, что оптимизация всех классов затрат имеет преобладающее значение. В Майкрософт мы не ограничиваемся одним решением и располагаем большим количеством интерактивных продуктов и сервисов (240+), которым требуются разные уровни эксплуатационной поддержки. Мы понимаем это, и учитываем это в своем проекте, который позволит нам сокращать капитальные затраты на 20%-40% или более в зависимости от класса.

    For example, non-critical or geo redundant applications have low hardware reliability requirements on a location basis. As a result, Gen 4 can be configured to provide stripped down, low-cost infrastructure with little or no redundancy and/or temperature control. Let’s say an Online service team decides that due to the dramatically lower cost, they will simply use uncontrolled outside air with temperatures ranging 10-35 C and 20-80% RH. The reality is we are already spec-ing this for all of our servers today and working with server vendors to broaden that range even further as Gen 4 becomes a reality. For this class of infrastructure, we eliminate generators, chillers, UPSs, and possibly lower costs relative to traditional infrastructure.

    Например, некритичные или гео-избыточные системы имеют низкие требования к аппаратной надежности на основе местоположения. В результате этого, Gen 4 можно конфигурировать для упрощенной, недорогой инфраструктуры с низким уровнем (или вообще без резервирования) резервирования и / или температурного контроля. Скажем, команда интерактивного сервиса решает, что, в связи с намного меньшими затратами, они будут просто использовать некондиционированный наружный воздух с температурой 10-35°C и влажностью 20-80% RH. В реальности мы уже сегодня предъявляем эти требования к своим серверам и работаем с поставщиками серверов над еще большим расширением диапазона температур, так как наш модуль и подход Gen 4 становится реальностью. Для подобного класса инфраструктуры мы удаляем генераторы, чиллеры, ИБП, и, возможно, будем предлагать более низкие затраты, по сравнению с традиционной инфраструктурой.

    Applications that demand higher level of redundancy or temperature control will use configurations of Gen 4 to meet those needs, however, they will also cost more (but still less than traditional data centers). We see this cost difference driving engineering behavioral change in that we predict more applications will drive towards Geo redundancy to lower costs.

    Системы, которым требуется более высокий уровень резервирования или температурного контроля, будут использовать конфигурации Gen 4, отвечающие этим требованиям, однако, они будут также стоить больше. Но все равно они будут стоить меньше, чем традиционные дата-центры. Мы предвидим, что эти различия в затратах будут вызывать изменения в методах инжиниринга, и по нашим прогнозам, это будет выражаться в переходе все большего числа систем на гео-избыточность и меньшие затраты.

    Another cool thing about Gen 4 is that it allows us to deploy capacity when our demand dictates it. Once finalized, we will no longer need to make large upfront investments. Imagine driving capital costs more closely in-line with actual demand, thus greatly reducing time-to-market and adding the capacity Online inherent in the design. Also reduced is the amount of construction labor required to put these “building blocks” together. Since the entire platform requires pre-manufacture of its core components, on-site construction costs are lowered. This allows us to maximize our return on invested capital.

    Еще одно достоинство Gen 4 состоит в том, что он позволяет нам разворачивать дополнительные мощности, когда нам это необходимо. Как только мы закончим проект, нам больше не нужно будет делать большие начальные капиталовложения. Представьте себе возможность более точного согласования капитальных затрат с реальными требованиями, и тем самым значительного снижения времени вывода на рынок и интерактивного добавления мощностей, предусматриваемого проектом. Также снижен объем строительных работ, требуемых для сборки этих “строительных блоков”. Поскольку вся платформа требует предварительного изготовления ее базовых компонентов, затраты на сборку также снижены. Это позволит нам увеличить до максимума окупаемость своих капиталовложений.
    Мы все подвергаем сомнению

    In our design process, we questioned everything. You may notice there is no roof and some might be uncomfortable with this. We explored the need of one and throughout our research we got some surprising (positive) results that showed one wasn’t needed.

    В своем процессе проектирования мы все подвергаем сомнению. Вы, наверное, обратили внимание на отсутствие крыши, и некоторым специалистам это могло не понравиться. Мы изучили необходимость в крыше и в ходе своих исследований получили удивительные результаты, которые показали, что крыша не нужна.
    Серийное производство дата центров


    In short, we are striving to bring Henry Ford’s Model T factory to the data center. http://en.wikipedia.org/wiki/Henry_Ford#Model_T. Gen 4 will move data centers from a custom design and build model to a commoditized manufacturing approach. We intend to have our components built in factories and then assemble them in one location (the data center site) very quickly. Think about how a computer, car or plane is built today. Components are manufactured by different companies all over the world to a predefined spec and then integrated in one location based on demands and feature requirements. And just like Henry Ford’s assembly line drove the cost of building and the time-to-market down dramatically for the automobile industry, we expect Gen 4 to do the same for data centers. Everything will be pre-manufactured and assembled on the pad.

    Мы хотим применить модель автомобильной фабрики Генри Форда к дата-центру. Проект Gen 4 будет способствовать переходу от модели специализированного проектирования и строительства к товарно-производственному, серийному подходу. Мы намерены изготавливать свои компоненты на заводах, а затем очень быстро собирать их в одном месте, в месте строительства дата-центра. Подумайте о том, как сегодня изготавливается компьютер, автомобиль или самолет. Компоненты изготавливаются по заранее определенным спецификациям разными компаниями во всем мире, затем собираются в одном месте на основе спроса и требуемых характеристик. И точно так же как сборочный конвейер Генри Форда привел к значительному уменьшению затрат на производство и времени вывода на рынок в автомобильной промышленности, мы надеемся, что Gen 4 сделает то же самое для дата-центров. Все будет предварительно изготавливаться и собираться на месте.
    Невероятно энергоэффективный ЦОД


    And did we mention that this platform will be, overall, incredibly energy efficient? From a total energy perspective not only will we have remarkable PUE values, but the total cost of energy going into the facility will be greatly reduced as well. How much energy goes into making concrete? Will we need as much of it? How much energy goes into the fuel of the construction vehicles? This will also be greatly reduced! A key driver is our goal to achieve an average PUE at or below 1.125 by 2012 across our data centers. More than that, we are on a mission to reduce the overall amount of copper and water used in these facilities. We believe these will be the next areas of industry attention when and if the energy problem is solved. So we are asking today…“how can we build a data center with less building”?

    А мы упоминали, что эта платформа будет, в общем, невероятно энергоэффективной? С точки зрения общей энергии, мы получим не только поразительные значения PUE, но общая стоимость энергии, затраченной на объект будет также значительно снижена. Сколько энергии идет на производство бетона? Нам нужно будет столько энергии? Сколько энергии идет на питание инженерных строительных машин? Это тоже будет значительно снижено! Главным стимулом является достижение среднего PUE не больше 1.125 для всех наших дата-центров к 2012 году. Более того, у нас есть задача сокращения общего количества меди и воды в дата-центрах. Мы думаем, что эти задачи станут следующей заботой отрасли после того как будет решена энергетическая проблема. Итак, сегодня мы спрашиваем себя…“как можно построить дата-центр с меньшим объемом строительных работ”?
    Строительство дата центров без чиллеров

    We have talked openly and publicly about building chiller-less data centers and running our facilities using aggressive outside economization. Our sincerest hope is that Gen 4 will completely eliminate the use of water. Today’s data centers use massive amounts of water and we see water as the next scarce resource and have decided to take a proactive stance on making water conservation part of our plan.

    Мы открыто и публично говорили о строительстве дата-центров без чиллеров и активном использовании в наших центрах обработки данных технологий свободного охлаждения или фрикулинга. Мы искренне надеемся, что Gen 4 позволит полностью отказаться от использования воды. Современные дата-центры расходуют большие объемы воды и так как мы считаем воду следующим редким ресурсом, мы решили принять упреждающие меры и включить экономию воды в свой план.

    By sharing this with the industry, we believe everyone can benefit from our methodology. While this concept and approach may be intimidating (or downright frightening) to some in the industry, disclosure ultimately is better for all of us.

    Делясь этим опытом с отраслью, мы считаем, что каждый сможет извлечь выгоду из нашей методологией. Хотя эта концепция и подход могут показаться пугающими (или откровенно страшными) для некоторых отраслевых специалистов, раскрывая свои планы мы, в конечном счете, делаем лучше для всех нас.

    Gen 4 design (even more than just containers), could reduce the ‘religious’ debates in our industry. With the central spine infrastructure in place, containers or pre-manufactured server halls can be either AC or DC, air-side economized or water-side economized, or not economized at all (though the sanity of that might be questioned). Gen 4 will allow us to decommission, repair and upgrade quickly because everything is modular. No longer will we be governed by the initial decisions made when constructing the facility. We will have almost unlimited use and re-use of the facility and site. We will also be able to use power in an ultra-fluid fashion moving load from critical to non-critical as use and capacity requirements dictate.

    Проект Gen 4 позволит уменьшить ‘религиозные’ споры в нашей отрасли. Располагая базовой инфраструктурой, контейнеры или сборные серверные могут оборудоваться системами переменного или постоянного тока, воздушными или водяными экономайзерами, или вообще не использовать экономайзеры. Хотя можно подвергать сомнению разумность такого решения. Gen 4 позволит нам быстро выполнять работы по выводу из эксплуатации, ремонту и модернизации, поскольку все будет модульным. Мы больше не будем руководствоваться начальными решениями, принятыми во время строительства дата-центра. Мы сможем использовать этот дата-центр и инфраструктуру в течение почти неограниченного периода времени. Мы также сможем применять сверхгибкие методы использования электрической энергии, переводя оборудование в режимы критической или некритической нагрузки в соответствии с требуемой мощностью.
    Gen 4 – это стандартная платформа

    Finally, we believe this is a big game changer. Gen 4 will provide a standard platform that our industry can innovate around. For example, all modules in our Gen 4 will have common interfaces clearly defined by our specs and any vendor that meets these specifications will be able to plug into our infrastructure. Whether you are a computer vendor, UPS vendor, generator vendor, etc., you will be able to plug and play into our infrastructure. This means we can also source anyone, anywhere on the globe to minimize costs and maximize performance. We want to help motivate the industry to further innovate—with innovations from which everyone can reap the benefits.

    Наконец, мы уверены, что это будет фактором, который значительно изменит ситуацию. Gen 4 будет представлять собой стандартную платформу, которую отрасль сможет обновлять. Например, все модули в нашем Gen 4 будут иметь общепринятые интерфейсы, четко определяемые нашими спецификациями, и оборудование любого поставщика, которое отвечает этим спецификациям можно будет включать в нашу инфраструктуру. Независимо от того производите вы компьютеры, ИБП, генераторы и т.п., вы сможете включать свое оборудование нашу инфраструктуру. Это означает, что мы также сможем обеспечивать всех, в любом месте земного шара, тем самым сводя до минимума затраты и максимальной увеличивая производительность. Мы хотим создать в отрасли мотивацию для дальнейших инноваций – инноваций, от которых каждый сможет получать выгоду.
    Главные характеристики дата-центров четвертого поколения Gen4

    To summarize, the key characteristics of our Generation 4 data centers are:

    Scalable
    Plug-and-play spine infrastructure
    Factory pre-assembled: Pre-Assembled Containers (PACs) & Pre-Manufactured Buildings (PMBs)
    Rapid deployment
    De-mountable
    Reduce TTM
    Reduced construction
    Sustainable measures

    Ниже приведены главные характеристики дата-центров четвертого поколения Gen 4:

    Расширяемость;
    Готовая к использованию базовая инфраструктура;
    Изготовление в заводских условиях: сборные контейнеры (PAC) и сборные здания (PMB);
    Быстрота развертывания;
    Возможность демонтажа;
    Снижение времени вывода на рынок (TTM);
    Сокращение сроков строительства;
    Экологичность;

    Map applications to DC Class

    We hope you join us on this incredible journey of change and innovation!

    Long hours of research and engineering time are invested into this process. There are still some long days and nights ahead, but the vision is clear. Rest assured however, that we as refine Generation 4, the team will soon be looking to Generation 5 (even if it is a bit farther out). There is always room to get better.


    Использование систем электропитания постоянного тока.

    Мы надеемся, что вы присоединитесь к нам в этом невероятном путешествии по миру изменений и инноваций!

    На этот проект уже потрачены долгие часы исследований и проектирования. И еще предстоит потратить много дней и ночей, но мы имеем четкое представление о конечной цели. Однако будьте уверены, что как только мы доведем до конца проект модульного дата-центра четвертого поколения, мы вскоре начнем думать о проекте дата-центра пятого поколения. Всегда есть возможность для улучшений.

    So if you happen to come across Goldilocks in the forest, and you are curious as to why she is smiling you will know that she feels very good about getting very close to ‘JUST RIGHT’.

    Generations of Evolution – some background on our data center designs

    Так что, если вы встретите в лесу девочку по имени Лютик, и вам станет любопытно, почему она улыбается, вы будете знать, что она очень довольна тем, что очень близко подошла к ‘ОПИМАЛЬНОМУ РЕШЕНИЮ’.
    Поколения эволюции – история развития наших дата-центров

    We thought you might be interested in understanding what happened in the first three generations of our data center designs. When Ray Ozzie wrote his Software plus Services memo it posed a very interesting challenge to us. The winds of change were at ‘tornado’ proportions. That “plus Services” tag had some significant (and unstated) challenges inherent to it. The first was that Microsoft was going to evolve even further into an operations company. While we had been running large scale Internet services since 1995, this development lead us to an entirely new level. Additionally, these “services” would span across both Internet and Enterprise businesses. To those of you who have to operate “stuff”, you know that these are two very different worlds in operational models and challenges. It also meant that, to achieve the same level of reliability and performance required our infrastructure was going to have to scale globally and in a significant way.

    Мы подумали, что может быть вам будет интересно узнать историю первых трех поколений наших центров обработки данных. Когда Рэй Оззи написал свою памятную записку Software plus Services, он поставил перед нами очень интересную задачу. Ветра перемен двигались с ураганной скоростью. Это окончание “plus Services” скрывало в себе какие-то значительные и неопределенные задачи. Первая заключалась в том, что Майкрософт собиралась в еще большей степени стать операционной компанией. Несмотря на то, что мы управляли большими интернет-сервисами, начиная с 1995 г., эта разработка подняла нас на абсолютно новый уровень. Кроме того, эти “сервисы” охватывали интернет-компании и корпорации. Тем, кому приходится всем этим управлять, известно, что есть два очень разных мира в области операционных моделей и задач. Это также означало, что для достижения такого же уровня надежности и производительности требовалось, чтобы наша инфраструктура располагала значительными возможностями расширения в глобальных масштабах.

    It was that intense atmosphere of change that we first started re-evaluating data center technology and processes in general and our ideas began to reach farther than what was accepted by the industry at large. This was the era of Generation 1. As we look at where most of the world’s data centers are today (and where our facilities were), it represented all the known learning and design requirements that had been in place since IBM built the first purpose-built computer room. These facilities focused more around uptime, reliability and redundancy. Big infrastructure was held accountable to solve all potential environmental shortfalls. This is where the majority of infrastructure in the industry still is today.

    Именно в этой атмосфере серьезных изменений мы впервые начали переоценку ЦОД-технологий и технологий вообще, и наши идеи начали выходить за пределы общепринятых в отрасли представлений. Это была эпоха ЦОД первого поколения. Когда мы узнали, где сегодня располагается большинство мировых дата-центров и где находятся наши предприятия, это представляло весь опыт и навыки проектирования, накопленные со времени, когда IBM построила первую серверную. В этих ЦОД больше внимания уделялось бесперебойной работе, надежности и резервированию. Большая инфраструктура была призвана решать все потенциальные экологические проблемы. Сегодня большая часть инфраструктуры все еще находится на этом этапе своего развития.

    We soon realized that traditional data centers were quickly becoming outdated. They were not keeping up with the demands of what was happening technologically and environmentally. That’s when we kicked off our Generation 2 design. Gen 2 facilities started taking into account sustainability, energy efficiency, and really looking at the total cost of energy and operations.

    Очень быстро мы поняли, что стандартные дата-центры очень быстро становятся устаревшими. Они не поспевали за темпами изменений технологических и экологических требований. Именно тогда мы стали разрабатывать ЦОД второго поколения. В этих дата-центрах Gen 2 стали принимать во внимание такие факторы как устойчивое развитие, энергетическая эффективность, а также общие энергетические и эксплуатационные.

    No longer did we view data centers just for the upfront capital costs, but we took a hard look at the facility over the course of its life. Our Quincy, Washington and San Antonio, Texas facilities are examples of our Gen 2 data centers where we explored and implemented new ways to lessen the impact on the environment. These facilities are considered two leading industry examples, based on their energy efficiency and ability to run and operate at new levels of scale and performance by leveraging clean hydro power (Quincy) and recycled waste water (San Antonio) to cool the facility during peak cooling months.

    Мы больше не рассматривали дата-центры только с точки зрения начальных капитальных затрат, а внимательно следили за работой ЦОД на протяжении его срока службы. Наши объекты в Куинси, Вашингтоне, и Сан-Антонио, Техас, являются образцами наших ЦОД второго поколения, в которых мы изучали и применяли на практике новые способы снижения воздействия на окружающую среду. Эти объекты считаются двумя ведущими отраслевыми примерами, исходя из их энергетической эффективности и способности работать на новых уровнях производительности, основанных на использовании чистой энергии воды (Куинси) и рециклирования отработанной воды (Сан-Антонио) для охлаждения объекта в самых жарких месяцах.

    As we were delivering our Gen 2 facilities into steel and concrete, our Generation 3 facilities were rapidly driving the evolution of the program. The key concepts for our Gen 3 design are increased modularity and greater concentration around energy efficiency and scale. The Gen 3 facility will be best represented by the Chicago, Illinois facility currently under construction. This facility will seem very foreign compared to the traditional data center concepts most of the industry is comfortable with. In fact, if you ever sit around in our container hanger in Chicago it will look incredibly different from a traditional raised-floor data center. We anticipate this modularization will drive huge efficiencies in terms of cost and operations for our business. We will also introduce significant changes in the environmental systems used to run our facilities. These concepts and processes (where applicable) will help us gain even greater efficiencies in our existing footprint, allowing us to further maximize infrastructure investments.

    Так как наши ЦОД второго поколения строились из стали и бетона, наши центры обработки данных третьего поколения начали их быстро вытеснять. Главными концептуальными особенностями ЦОД третьего поколения Gen 3 являются повышенная модульность и большее внимание к энергетической эффективности и масштабированию. Дата-центры третьего поколения лучше всего представлены объектом, который в настоящее время строится в Чикаго, Иллинойс. Этот ЦОД будет выглядеть очень необычно, по сравнению с общепринятыми в отрасли представлениями о дата-центре. Действительно, если вам когда-либо удастся побывать в нашем контейнерном ангаре в Чикаго, он покажется вам совершенно непохожим на обычный дата-центр с фальшполом. Мы предполагаем, что этот модульный подход будет способствовать значительному повышению эффективности нашего бизнеса в отношении затрат и операций. Мы также внесем существенные изменения в климатические системы, используемые в наших ЦОД. Эти концепции и технологии, если применимо, позволят нам добиться еще большей эффективности наших существующих дата-центров, и тем самым еще больше увеличивать капиталовложения в инфраструктуру.

    This is definitely a journey, not a destination industry. In fact, our Generation 4 design has been under heavy engineering for viability and cost for over a year. While the demand of our commercial growth required us to make investments as we grew, we treated each step in the learning as a process for further innovation in data centers. The design for our future Gen 4 facilities enabled us to make visionary advances that addressed the challenges of building, running, and operating facilities all in one concerted effort.

    Это определенно путешествие, а не конечный пункт назначения. На самом деле, наш проект ЦОД четвертого поколения подвергался серьезным испытаниям на жизнеспособность и затраты на протяжении целого года. Хотя необходимость в коммерческом росте требовала от нас постоянных капиталовложений, мы рассматривали каждый этап своего развития как шаг к будущим инновациям в области дата-центров. Проект наших будущих ЦОД четвертого поколения Gen 4 позволил нам делать фантастические предположения, которые касались задач строительства, управления и эксплуатации объектов как единого упорядоченного процесса.

    Тематики

    Синонимы

    EN

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

  • 13 ground

    I 1. noun
    1) Boden, der

    work above/below ground — über/unter der Erde arbeiten

    deep under the ground — tief unter der Erde

    uneven, hilly ground — unebenes, hügeliges Gelände

    on high ground — in höheren Lagen

    2) (fig.)

    cut the ground from under somebody's feet — jemandem den Wind aus den Segeln nehmen (ugs.)

    be or suit somebody down to the ground — (coll.) genau das richtige für jemanden sein

    get off the ground — (coll.) konkrete Gestalt annehmen

    get something off the ground — (coll.) etwas in die Tat umsetzen

    go to ground — [Fuchs usw.:] im Bau verschwinden; [Person:] untertauchen

    run somebody/oneself into the ground — (coll.) jemanden/sich kaputtmachen (ugs.)

    run a car into the ground — (coll.) ein Auto solange fahren, bis es schrottreif ist

    on the ground — (in practice) an Ort und Stelle

    thin/thick on the ground — dünn/dicht gesät

    cover much or a lot of ground — weit vorankommen

    give or lose ground — an Boden verlieren

    hold or keep or stand one's ground — nicht nachgeben

    3) (special area) Gelände, das

    [sports] ground — Sportplatz, der

    [cricket] ground — Cricketfeld, das

    4) in pl. (attached to house) Anlage, die
    5) (motive, reason) Grund, der

    on the ground[s] of, on grounds of — auf Grund (+ Gen.); (giving as one's reason) unter Berufung auf (+ Akk.)

    on the grounds that... — unter Berufung auf die Tatsache, dass...

    on health/religious etc. grounds — aus gesundheitlichen/religiösen usw. Gründen

    the grounds for divorce are... — als Scheidungsgrund gilt...

    have no grounds for something/to do something — keinen Grund für etwas haben/keinen Grund haben, etwas zu tun

    6) in pl. (sediment) Satz, der; (of coffee) Kaffeesatz, der
    7) (Electr.) Erde, die
    2. transitive verb
    1) (cause to run ashore) auf Grund setzen
    2) (base, establish) gründen (on auf + Akk.)

    be grounded on — gründen auf (+ Dat.)

    3) (Aeronaut.) am Boden festhalten; (prevent from flying) nicht fliegen lassen [Piloten]
    3. intransitive verb
    (run ashore) [Schiff:] auf Grund laufen
    II 1.
    see academic.ru/32496/grind">grind 1., 2.
    2. adjective
    gemahlen [Kaffee, Getreide]

    ground meat — (Amer.) Hackfleisch, das

    ground coffee — Kaffeepulver, das

    * * *
    past tense, past participle; = grind
    * * *
    ground1
    [graʊnd]
    I. n no pl
    1. (Earth's surface) [Erd]boden m, Erde f
    to be burnt [or AM burned] to the \ground vollständig [o bis auf die Grundmauern] niedergebrannt werden
    to get off the \ground plane abheben; ( fig fam) project in Gang kommen; plan verwirklicht werden
    to get sth off the \ground ( fig fam) plan, programme etw realisieren
    to go to \ground animal in Deckung gehen; fox, rabbit im Bau verschwinden; criminal untertauchen
    to be razed to the \ground dem Erdboden gleichgemacht werden
    to run an animal to \ground ein Tier aufstöbern; ( fig)
    to run sb to \ground jdn aufspüren [o ausfindig machen]
    above/below \ground über/unter der Erde; MIN über/unter Tage; ( fig fam: alive/dead) am Leben/unter der Erde
    above \ground lines/pipes oberirdische Leitungen/Rohre
    2. no pl (soil) Boden m, Erde f
    3. no pl (floor) Boden m
    to fall to the \ground zu Boden fallen; ( fig) plans sich akk zerschlagen
    4. no pl (area of land) [ein Stück] Land nt
    hilly/level/steep \ground hügeliges/flaches/steiles Gelände
    waste \ground brach liegendes Land
    to gain/lose \ground MIL Boden gewinnen/verlieren; ( fig) idea, politician an Boden/gewinnen/verlieren
    to give \ground to sb/sth vor jdm/etw zurückweichen
    to make up \ground SPORT den Abstand verringern, aufholen
    to stand one's \ground nicht von der Stelle weichen; MIL die Stellung behaupten; ( fig) festbleiben, nicht nachgeben
    5. (surrounding a building)
    ▪ \grounds pl Anlagen pl
    6. (for outdoor sports) Platz m, [Spiel]feld nt
    cricket \ground Cricketfeld nt
    football \ground Fußballplatz m
    breeding \ground ( also fig) Brutplatz m, Brutstätte f a. fig
    fishing \grounds Fischgründe pl, Fischfanggebiet nt
    spawning \ground Laichplatz m
    8. (of a body of water) Grund m
    to touch \ground NAUT auf Grund laufen
    9. AM ELEC (earth) Erdung f, Masse f
    10. no pl ( fig: area of discussion, experience) Gebiet nt
    common \ground Gemeinsame(s) nt; LAW Unstreitige(s) nt
    to be on common \ground eine gemeinsame Basis haben
    we had soon found some common \ground wir hatten schnell einige Gemeinsamkeiten entdeckt
    to be on dangerous \ground sich akk auf gefährlichem Terrain bewegen fig
    to be on familiar [or on one's own] \ground sich akk auf vertrautem Boden bewegen; ( fig) sich akk auskennen
    to be on safe \ground sich akk auf sicherem Boden bewegen fig
    to stick to safe \ground auf Nummer Sicher gehen fam
    to go over the same \ground sich akk wiederholen
    to cover the \ground well ein Thema umfassend behandeln
    in his lectures he covered a lot of \ground in seinen Vorträgen sprach er vieles an
    11. usu pl (reason) Grund m, Ursache f
    your fears have no \ground at all deine Ängste sind absolut unbegründet
    you have no \grounds for your accusations deine Anschuldigungen sind völlig unbegründet [o haltlos]
    there are no \grounds for the assumption that... es gibt keinen Grund zur Annahme, dass...
    \grounds for divorce Scheidungsgrund m
    \ground for exclusion Ausschließungsgrund m
    \grounds for a judgement Urteilsgründe pl
    statement of \grounds Begründung f
    legal \ground Rechtsgrund m
    on medical \grounds aus medizinischen Gründen
    substantial/valid \grounds erhebliche/stichhaltige Gründe
    to give sb \grounds to complain jdm Grund zur Klage geben
    to have \grounds to do sth einen Grund [o Anlass] haben, etw zu tun
    to have \grounds to believe that... Grund zu der Annahme haben, dass...
    on the \ground[s] of sth aufgrund einer S. gen
    on the \grounds that... mit der Begründung, dass...
    12. no pl also ART (background) Grund m; (first coat of paint) Grundierung f
    on a black \ground auf schwarzem Grund
    13.
    ▶ to break new \ground person Neuland betreten; achievement bahnbrechend sein
    the airline's latest idea is breaking new \ground in the world of air transport die neueste Idee der Luftfahrtgesellschaft wird die Welt der Luftfahrt revolutionieren [o grundlegend verändern]
    ▶ to cut the \ground from under sb's feet jdm den Boden unter den Füßen wegziehen
    ▶ down to the \ground BRIT ( fam) völlig, total fam
    ▶ to drive [or run] [or work] oneself into the \ground seine Gesundheit ruinieren, sich akk kaputtmachen fam
    ▶ to fall on stony ground auf taube Ohren stoßen
    ▶ to have both one's feet [flat] on the \ground mit beiden Beinen [fest] auf der Erde stehen
    ▶ to shift one's ground seinen Standpunkt ändern
    ▶ sb's stamping \ground ( fam) jds Revier nt fig
    this part of town used to be my old stamping \ground diesen Teil der Stadt habe ich früher unsicher gemacht hum
    ▶ sth is thick on the \ground etw gibt es wie Sand am Meer fam
    in Hollywood talent scouts are thick on the \ground in Hollywood gibt es Talentsucher wie Sand am Meer fam
    ▶ on the \ground in der breiten Öffentlichkeit
    their political ideas have a lot of support on the \ground ihre politischen Ziele finden breite Unterstützung
    ▶ from the \ground up AM ( fam) von Grund auf
    to work [or think] sth out from the \ground up ( fam) etw komplett [o von Grund auf] überarbeiten
    ▶ to wish the \ground would open up and swallow one am liebsten im [Erd]boden versinken wollen
    I wished the \ground would open up and swallow me ich wäre am liebsten im Erdboden versunken
    II. vt
    ▪ to be \grounded (unable to fly) nicht starten können; (forbidden to fly) plane Startverbot haben; pilot nicht fliegen dürfen, Flugverbot haben; esp AM, AUS ( fig fam) Hausarrest haben
    the plane was \grounded by bad weather das Flugzeug konnte wegen schlechten Wetters nicht starten
    my father has \grounded me for a week mein Vater hat mir eine Woche Hausarrest erteilt
    2. NAUT
    ▪ to \ground a ship ein Schiff auf Grund setzen [o auflaufen lassen]
    ▪ to be \grounded auflaufen, auf Grund laufen
    to be \grounded on a sandbank auf eine[r] Sandbank auflaufen
    3. usu passive (be based)
    ▪ to be \grounded upon sth auf etw dat basieren
    ▪ to be \grounded in sth (have its origin) von etw dat herrühren; (have its reason) in etw dat begründet liegen
    to be well \grounded [wohl]begründet sein
    4. (teach fundamentals)
    ▪ to \ground sb in sth jdm die Grundlagen einer S. gen beibringen
    to be well \grounded in German über gute Deutschkenntnisse verfügen
    5. ELEC
    ▪ to \ground sth etw erden
    III. vi
    1. SPORT (in baseball) einen Bodenball schlagen
    2. NAUT auflaufen, auf Grund laufen
    to \ground on a sandbank auf eine Sandbank auflaufen
    ground2
    [graʊnd]
    I. vt pt of grind
    II. adj gemahlen
    III. n
    ▪ \grounds pl [Boden]satz m kein pl
    coffee \grounds Kaffeesatz m
    * * *
    I [graʊnd]
    1. n
    1) (= soil, terrain fig) Boden m

    hilly ground —

    they found common ground in the fact that... — die Tatsache, dass..., verband sie

    to be on firm or sure ground — festen or sicheren Boden unter den Füßen haben; (fig) sich auf sicherem Boden bewegen

    to be beaten on one's own ground — auf dem eigenen Gebiet geschlagen werden

    to gain/lose ground — Boden gewinnen/verlieren; (disease, rumour) um sich greifen/im Schwinden begriffen sein

    to lose ground to sb/sth — gegenüber jdm/etw an Boden verlieren

    to give ground to sb/sth — vor jdm/etw zurückweichen

    to break new ground (lit, fig) — neue Gebiete erschließen; (person) sich auf ein neues or unbekanntes Gebiet begeben

    to cover the/a lot of ground (lit) — die Strecke/eine weite Strecke zurücklegen; (fig)

    to hold or stand one's ground (lit) — nicht von der Stelle weichen; (fig) seinen Mann stehen, sich nicht unterkriegen lassen

    See:
    → foot
    2) (= surface) Boden m

    above/below ground — über/unter der Erde; (Min) über/unter Tage; (fig) unter den Lebenden/unter der Erde

    to fall to the ground (lit) — zu Boden fallen; ( fig, plans ) ins Wasser fallen, sich zerschlagen

    to sit on the ground —

    to get off the ground (plane etc) — abheben; ( fig : plans, project etc ) sich realisieren

    to go to ground (fox) — im Bau verschwinden; (person) untertauchen

    to run sb/sth to ground — jdn/etw aufstöbern, jdn/etw ausfindig machen

    to run sb/oneself into the ground (inf) — jdn/sich selbst fertigmachen (inf)

    3) (= pitch) Feld nt, Platz m; (= parade ground, drill ground) Platz m
    4) pl (= premises, land) Gelände nt; (= gardens) Anlagen pl
    5) pl (= sediment) Satz m

    let the coffee grounds settle — warten Sie, bis sich der Kaffee gesetzt hat

    6) (= background) Grund m
    7) (US ELEC) Erde f
    8) (= sea-bed) Grund m
    9) (= reason) Grund m

    to be ground(s) for sth —

    on the grounds of... — aufgrund... (gen), auf Grund... (gen), aufgrund or auf Grund von...

    on the grounds that... — mit der Begründung, dass...

    2. vt
    1) ship auflaufen lassen, auf Grund setzen
    2) (AVIAT) plane (for mechanical reasons) aus dem Verkehr ziehen; pilot sperren, nicht fliegen lassen

    to be grounded by bad weather/a strike — wegen schlechten Wetters/eines Streiks nicht starten or fliegen können

    3) (= punish) child Hausarrest erteilen (+dat)
    4) (US ELEC) erden
    5)

    (= base) to be grounded on sth — sich auf etw (acc) gründen, auf etw (dat) basieren

    6)
    3. vi (NAUT)
    auflaufen II pret, ptp of grind
    adj
    glass matt; coffee gemahlen
    * * *
    ground1 [ɡraʊnd]
    A s
    1. (Erd)Boden m, Erde f, Grund m:
    a) oberirdisch,
    b) Bergbau: über Tage,
    c) fig am Leben;
    a) Bergbau: unter Tage,
    b) fig tot, unter der Erde;
    from the ground up US umg von Grund auf, ganz und gar;
    on the ground an Ort und Stelle;
    break new ( oder fresh) ground Land urbar machen, a. fig Neuland erschließen;
    burn to the ground (v/t & v/i), be burnt to the ground ab-, niederbrennen;
    cut the ground from under sb’s feet fig jemandem den Boden unter den Füßen wegziehen;
    fall on stony ground fig auf taube Ohren stoßen;
    a) zu Boden fallen,
    b) fig sich zerschlagen, ins Wasser fallen;
    go over the ground fig die Sache durchsprechen oder durchackern, alles (gründlich) prüfen;
    go over old ground ein altes Thema beackern umg;
    a) v/t einen Plan etc in die Tat umsetzen, eine Idee etc verwirklichen,
    b) v/i FLUG abheben,
    c) v/i in die Tat umgesetzt oder verwirklicht werden;
    a) im Bau verschwinden (Fuchs),
    b) fig untertauchen (Verbrecher);
    a) etwas zu Tode reiten,
    b) SPORT Gegner in Grund und Boden laufen; → bite A 1, down1 A 1
    2. Boden m, Grund m, Strecke f, Gebiet n (auch fig), Gelände n:
    on German ground auf deutschem Boden;
    be on safe ground fig sich auf sicherem Boden bewegen;
    be forbidden ground fig tabu sein;
    a) (an) Boden gewinnen (a. fig),
    b) fig um sich greifen, Fuß fassen;
    give ( oder lose) ground (an) Boden verlieren (a. fig); → cover B 17
    3. Grundbesitz m, Grund m und Boden m
    4. pl
    a) Garten-, Parkanlagen pl:
    standing in its own grounds von Anlagen umgeben (Haus)
    b) Ländereien pl, Felder pl
    5. Gebiet n, Grund m: → hunting ground
    6. meist pl besonders SPORT Platz m:
    7. a) Standort m, Stellung f
    b) fig Standpunkt m, Ansicht f:
    hold ( oder stand) one’s ground standhalten, nicht weichen, sich oder seinen Standpunkt behaupten, seinen Mann stehen;
    shift one’s ground seinen Standpunkt ändern, umschwenken
    8. Meeresboden m, (Meeres)Grund m:
    take ground SCHIFF auflaufen, stranden;
    touch ground fig zur Sache kommen
    9. auch pl Grundlage f, Basis f (besonders fig)
    10. fig (Beweg)Grund m, Ursache f:
    ground for divorce JUR Scheidungsgrund;
    on medical (religious) grounds aus gesundheitlichen (religiösen) Gründen;
    on grounds of age aus Altersgründen;
    on the ground(s) of aufgrund von (od gen), wegen (gen);
    on the ground(s) that … mit der Begründung, dass …;
    have no ground(s) for keinen Grund oder keine Veranlassung haben für ( oder zu inf);
    I have no grounds for complaint ich kann mich nicht beklagen;
    we have good grounds for thinking that … wir haben guten Grund zu der Annahme, dass …
    11. pl (Boden)Satz m
    12. Hinter-, Untergrund m
    13. KUNST
    a) Grundfläche f (Relief)
    b) Ätzgrund m (Stich)
    c) MAL Grund(farbe) m(f), Grundierung f
    14. Bergbau:
    a) Grubenfeld n
    b) (Neben)Gestein n
    15. ELEK US
    a) Erde f, Erdung f, Masse f
    b) Erdschluss m:
    ground cable Massekabel n;
    ground fault Erdfehler m, -schluss m;
    ground wire Erdleitungsdraht m; → screen A 12 c
    16. MUS → ground bass
    17. THEAT Parterre n
    B v/t
    1. niederlegen, -setzen:
    ground arms MIL die Waffen strecken
    2. SCHIFF ein Schiff auf Grund setzen
    3. fig (on, in) gründen, stützen (auf akk), aufbauen (auf dat), begründen (in dat):
    grounded in fact auf Tatsachen beruhend;
    be grounded in sich gründen auf (akk), verankert sein oder wurzeln in (dat)
    4. (in) jemanden einführen oder einweisen (in akk), jemandem die Anfangsgründe (gen) beibringen:
    be well grounded in eine gute Vorbildung oder gute Grund- oder Vorkenntnisse haben in (dat)
    5. ELEK US erden, an Masse legen:
    grounded conductor geerdeter Leiter, Erder m
    6. MAL, TECH grundieren
    7. a) einem Flugzeug oder Piloten Startverbot erteilen:
    be grounded Startverbot erhalten oder haben, (Flugzeug auch) am Boden festgehalten werden
    b) US einem Jockey Startverbot erteilen
    c) AUTO US jemandem die Fahrerlaubnis entziehen
    C v/i
    1. SCHIFF stranden, auflaufen
    2. (on, upon) beruhen (auf dat), sich gründen (auf akk)
    ground2 [ɡraʊnd]
    A prät und pperf von grind
    B adj
    1. a) gemahlen (Kaffee etc)
    b) ground meat Hackfleisch n;
    ground beef Rinderhack(fleisch) n
    2. matt (geschliffen): → ground glass
    * * *
    I 1. noun
    1) Boden, der

    work above/below ground — über/unter der Erde arbeiten

    uneven, hilly ground — unebenes, hügeliges Gelände

    2) (fig.)

    be or suit somebody down to the ground — (coll.) genau das richtige für jemanden sein

    get off the ground — (coll.) konkrete Gestalt annehmen

    get something off the ground — (coll.) etwas in die Tat umsetzen

    go to ground — [Fuchs usw.:] im Bau verschwinden; [Person:] untertauchen

    run somebody/oneself into the ground — (coll.) jemanden/sich kaputtmachen (ugs.)

    run a car into the ground — (coll.) ein Auto solange fahren, bis es schrottreif ist

    on the ground — (in practice) an Ort und Stelle

    thin/thick on the ground — dünn/dicht gesät

    cover much or a lot of ground — weit vorankommen

    give or lose ground — an Boden verlieren

    hold or keep or stand one's ground — nicht nachgeben

    3) (special area) Gelände, das

    [sports] ground — Sportplatz, der

    [cricket] ground — Cricketfeld, das

    4) in pl. (attached to house) Anlage, die
    5) (motive, reason) Grund, der

    on the ground[s] of, on grounds of — auf Grund (+ Gen.); (giving as one's reason) unter Berufung auf (+ Akk.)

    on the grounds that... — unter Berufung auf die Tatsache, dass...

    on health/religious etc. grounds — aus gesundheitlichen/religiösen usw. Gründen

    the grounds for divorce are... — als Scheidungsgrund gilt...

    have no grounds for something/to do something — keinen Grund für etwas haben/keinen Grund haben, etwas zu tun

    6) in pl. (sediment) Satz, der; (of coffee) Kaffeesatz, der
    7) (Electr.) Erde, die
    2. transitive verb
    1) (cause to run ashore) auf Grund setzen
    2) (base, establish) gründen (on auf + Akk.)

    be grounded on — gründen auf (+ Dat.)

    3) (Aeronaut.) am Boden festhalten; (prevent from flying) nicht fliegen lassen [Piloten]
    3. intransitive verb
    (run ashore) [Schiff:] auf Grund laufen
    II 1.
    see grind 1., 2.
    2. adjective
    gemahlen [Kaffee, Getreide]

    ground meat — (Amer.) Hackfleisch, das

    ground coffee — Kaffeepulver, das

    * * *
    (US) n.
    Masse -n (elektrisch) f. n.
    Boden ¨-- m.
    Erdboden -¨ m.
    Grund ¨-e m.

    English-german dictionary > ground

  • 14 Computers

       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)
       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)
       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)
       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)
       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)
       [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)
       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)
       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.
       Further, the effects of those ideas are rapidly compounding, because a computer design is itself just a set of ideas. As we get better at manipulating ideas by building ever better computers, we get better at building even better computers-it's an ever-escalating upward spiral. The early nineteenth century, when the computer's story began, is already so far back that it may as well be the Stone Age. (Rawlins, 1997, p. 19)
       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)
       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)

    Historical dictionary of quotations in cognitive science > Computers

  • 15 Knowledge

       It is indeed an opinion strangely prevailing amongst men, that houses, mountains, rivers, and, in a word, all sensible objects, have an existence, natural or real, distinct from their being perceived by the understanding. But, with how great an assurance and acquiescence soever this principle may be entertained in the world, yet whoever shall find in his heart to call it into question may, if I mistake not, perceive it to involve a manifest contradiction. For, what are the forementioned objects but things we perceive by sense? and what do we perceive besides our own ideas or sensations? and is it not plainly repugnant that any one of these, or any combination of them, should exist unperceived? (Berkeley, 1996, Pt. I, No. 4, p. 25)
       It seems to me that the only objects of the abstract sciences or of demonstration are quantity and number, and that all attempts to extend this more perfect species of knowledge beyond these bounds are mere sophistry and illusion. As the component parts of quantity and number are entirely similar, their relations become intricate and involved; and nothing can be more curious, as well as useful, than to trace, by a variety of mediums, their equality or inequality, through their different appearances.
       But as all other ideas are clearly distinct and different from each other, we can never advance farther, by our utmost scrutiny, than to observe this diversity, and, by an obvious reflection, pronounce one thing not to be another. Or if there be any difficulty in these decisions, it proceeds entirely from the undeterminate meaning of words, which is corrected by juster definitions. That the square of the hypotenuse is equal to the squares of the other two sides cannot be known, let the terms be ever so exactly defined, without a train of reasoning and enquiry. But to convince us of this proposition, that where there is no property, there can be no injustice, it is only necessary to define the terms, and explain injustice to be a violation of property. This proposition is, indeed, nothing but a more imperfect definition. It is the same case with all those pretended syllogistical reasonings, which may be found in every other branch of learning, except the sciences of quantity and number; and these may safely, I think, be pronounced the only proper objects of knowledge and demonstration. (Hume, 1975, Sec. 12, Pt. 3, pp. 163-165)
       Our knowledge springs from two fundamental sources of the mind; the first is the capacity of receiving representations (the ability to receive impressions), the second is the power to know an object through these representations (spontaneity in the production of concepts).
       Through the first, an object is given to us; through the second, the object is thought in relation to that representation.... Intuition and concepts constitute, therefore, the elements of all our knowledge, so that neither concepts without intuition in some way corresponding to them, nor intuition without concepts, can yield knowledge. Both may be either pure or empirical.... Pure intuitions or pure concepts are possible only a priori; empirical intuitions and empirical concepts only a posteriori. If the receptivity of our mind, its power of receiving representations in so far as it is in any way affected, is to be called "sensibility," then the mind's power of producing representations from itself, the spontaneity of knowledge, should be called "understanding." Our nature is so constituted that our intuitions can never be other than sensible; that is, it contains only the mode in which we are affected by objects. The faculty, on the other hand, which enables us to think the object of sensible intuition is the understanding.... Without sensibility, no object would be given to us; without understanding, no object would be thought. Thoughts without content are empty; intuitions without concepts are blind. It is therefore just as necessary to make our concepts sensible, that is, to add the object to them in intuition, as to make our intuitions intelligible, that is to bring them under concepts. These two powers or capacities cannot exchange their functions. The understanding can intuit nothing, the senses can think nothing. Only through their union can knowledge arise. (Kant, 1933, Sec. 1, Pt. 2, B74-75 [p. 92])
       Metaphysics, as a natural disposition of Reason is real, but it is also, in itself, dialectical and deceptive.... Hence to attempt to draw our principles from it, and in their employment to follow this natural but none the less fallacious illusion can never produce science, but only an empty dialectical art, in which one school may indeed outdo the other, but none can ever attain a justifiable and lasting success. In order that, as a science, it may lay claim not merely to deceptive persuasion, but to insight and conviction, a Critique of Reason must exhibit in a complete system the whole stock of conceptions a priori, arranged according to their different sources-the Sensibility, the understanding, and the Reason; it must present a complete table of these conceptions, together with their analysis and all that can be deduced from them, but more especially the possibility of synthetic knowledge a priori by means of their deduction, the principles of its use, and finally, its boundaries....
       This much is certain: he who has once tried criticism will be sickened for ever of all the dogmatic trash he was compelled to content himself with before, because his Reason, requiring something, could find nothing better for its occupation. Criticism stands to the ordinary school metaphysics exactly in the same relation as chemistry to alchemy, or as astron omy to fortune-telling astrology. I guarantee that no one who has comprehended and thought out the conclusions of criticism, even in these Prolegomena, will ever return to the old sophistical pseudo-science. He will rather look forward with a kind of pleasure to a metaphysics, certainly now within his power, which requires no more preparatory discoveries, and which alone can procure for reason permanent satisfaction. (Kant, 1891, pp. 115-116)
       Knowledge is only real and can only be set forth fully in the form of science, in the form of system. Further, a so-called fundamental proposition or first principle of philosophy, even if it is true, it is yet none the less false, just because and in so far as it is merely a fundamental proposition, merely a first principle. It is for that reason easily refuted. The refutation consists in bringing out its defective character; and it is defective because it is merely the universal, merely a principle, the beginning. If the refutation is complete and thorough, it is derived and developed from the nature of the principle itself, and not accomplished by bringing in from elsewhere other counter-assurances and chance fancies. It would be strictly the development of the principle, and thus the completion of its deficiency, were it not that it misunderstands its own purport by taking account solely of the negative aspect of what it seeks to do, and is not conscious of the positive character of its process and result. The really positive working out of the beginning is at the same time just as much the very reverse: it is a negative attitude towards the principle we start from. Negative, that is to say, in its one-sided form, which consists in being primarily immediate, a mere purpose. It may therefore be regarded as a refutation of what constitutes the basis of the system; but more correctly it should be looked at as a demonstration that the basis or principle of the system is in point of fact merely its beginning. (Hegel, 1910, pp. 21-22)
       Knowledge, action, and evaluation are essentially connected. The primary and pervasive significance of knowledge lies in its guidance of action: knowing is for the sake of doing. And action, obviously, is rooted in evaluation. For a being which did not assign comparative values, deliberate action would be pointless; and for one which did not know, it would be impossible. Conversely, only an active being could have knowledge, and only such a being could assign values to anything beyond his own feelings. A creature which did not enter into the process of reality to alter in some part the future content of it, could apprehend a world only in the sense of intuitive or esthetic contemplation; and such contemplation would not possess the significance of knowledge but only that of enjoying and suffering. (Lewis, 1946, p. 1)
       "Evolutionary epistemology" is a branch of scholarship that applies the evolutionary perspective to an understanding of how knowledge develops. Knowledge always involves getting information. The most primitive way of acquiring it is through the sense of touch: amoebas and other simple organisms know what happens around them only if they can feel it with their "skins." The knowledge such an organism can have is strictly about what is in its immediate vicinity. After a huge jump in evolution, organisms learned to find out what was going on at a distance from them, without having to actually feel the environment. This jump involved the development of sense organs for processing information that was farther away. For a long time, the most important sources of knowledge were the nose, the eyes, and the ears. The next big advance occurred when organisms developed memory. Now information no longer needed to be present at all, and the animal could recall events and outcomes that happened in the past. Each one of these steps in the evolution of knowledge added important survival advantages to the species that was equipped to use it.
       Then, with the appearance in evolution of humans, an entirely new way of acquiring information developed. Up to this point, the processing of information was entirely intrasomatic.... But when speech appeared (and even more powerfully with the invention of writing), information processing became extrasomatic. After that point knowledge did not have to be stored in the genes, or in the memory traces of the brain; it could be passed on from one person to another through words, or it could be written down and stored on a permanent substance like stone, paper, or silicon chips-in any case, outside the fragile and impermanent nervous system. (Csikszentmihalyi, 1993, pp. 56-57)

    Historical dictionary of quotations in cognitive science > Knowledge

  • 16 point

    pɔɪnt
    1. сущ.
    1) точка The freezing point of water is 32 degrees Fahrenheit. ≈ Точка замерзания воды - 32 градуса по Фаренгейту. focal point ≈ фокус, фокальная точка, фокусная точка salient point ≈ мат. точка излома
    2) пункт, момент, вопрос;
    дело to argue a point ≈ обсуждать вопрос, спорить по поводу чего-л. to belabor, labor a point ≈ разрабатывать, исследовать вопрос to bring up, raise a point ≈ ставить, поднимать вопрос to concede, yield a point ≈ уступить, сдаться в каком-л. вопросе to cover, discuss a point ≈ обсуждать вопрос to drive, hammer, press a point home ≈ доводить вопрос до сведения to emphasize, stress, underscore a point ≈ акцентировать, подчеркивать, вопрос to review a point ≈ делать обзор вопроса to speak to the point ≈ говорить по существу to strain, stretch a point in smb.'s favour ≈ истолковать дело/вопрос в чью-л. пользу She made the point that further resistance was useless. ≈ Она решила, что дальнейшее сопротивление бесполезно. talking point ≈ вопрос, могущий быть предметом разговора;
    (подходящая) тема для разговора;
    аргумент controversial point ≈ спорный вопрос, момент - beside the point - on this point - to the point - point of honour make a point of smth. Syn: item>, detail, particular, aspect, feature
    3) а) суть, сущность;
    "соль" (рассказа, шутки) I think I missed the point of his story. ≈ По-видимому, я прозевал суть его истории. Syn: gist, essence, heart, kernel, pith, core б) смысл, основание, повод There's no point in arguing further. ≈ Нет никакого резона продолжать дальнейший спор. Syn: sense, reason, cause, object
    4) точка, место, пункт;
    амер. станция assembly point ≈ сборный пункт to make one's point ≈ бежать прямо к намеченному месту (о собаках и т. п.)
    5) момент (времени) At that point the audience got up to leave. ≈ В этот момент зрители поднялись, чтобы уходить. Syn: instant, moment, time, very minute
    6) очко points verdict, points decision спорт ≈ присуждение победы по очкам (в боксе и т. д.) The team won by two points. ≈ Команда выиграла с перевесом в два очка. Syn: score, tally
    7) достоинство, преимущество;
    отличительная черта, особенность Tact isn't my strong point. ≈ Тактичность не является моей отличительной чертой..
    8) (нечто, похожее на острый конец) а) кончик, острие;
    наконечник б) ответвление оленьего рога в) (гравировальная) игла, резец( гравера) г) ж.-д. перо/остряк (стрелочного перевода) ;
    стрелочный перевод д) мыс, выступающая морская коса;
    стрелка
    9) вершина горы
    10) деление шкалы
    11) единица продовольственной или промтоварной карточки (в Англии во время второй мировой войны и в послевоенные годы)
    12) вид кружева
    13) мор. румб
    14) мор. редька( оплетенный конец снасти)
    15) ист. шнурок с наконечником (заменявший пуговицы)
    16) а) стать, статья( животного) ;
    мн. экстерьер( животного) б) охот. стойка (собаки) to come/make a point ≈ делать стойку
    17) воен. головной/тыльный дозор
    18) полигр. пункт ∙
    2. гл.
    1) показывать пальцем;
    указывать (тж. point out;
    at, to) It's rude to point at people. ≈ Некрасиво указывать на человека пальцем.
    2) а) направлять, наводить (оружие и т. п.) (at) ;
    целиться, прицеливаться Never point a gun at someone, even in fun. ≈ Никогда ни в кого не прицеливайся, даже в шутку. б) быть обращенным, направленным (в какую-л. сторону) ∙ Syn: aim, train, direct
    3) а) указывать, обращать( чье-л.) внимание;
    отмечать, подчеркивать When asked to explain where all the housekeeping money had gone, Mary pointed to the rising prices. ≈ Когда ее попросили объяснить, куда ушли все деньги, выделенные на ведение хозяйства, Мери указала на повышение цен. б) указывать, говорить, свидетельствовать( to - о чем-л.) The Minister's remarks seemed to be pointing at an early election. ≈ Казалось, что замечания министра касались досрочных выборов. All the signs point to/towards an early election. ≈ Все признаки указывают на досрочные выборы. Syn: indicate, suggest, imply, signify, intimate, hint at
    4) иметь целью, стремиться
    5) точить;
    заострить, наточить;
    чинить (карандаш)
    6) оживлять, придавать остроту
    7) ставить знаки препинания
    8) делать стойку (о собаке)
    9) строит. расшивать швы ∙ point down point off point out point up точка - (full) * точка (знак препинания) - interrogation * (американизм) вопросительный знак - decimal * точка, отделяющая десятичную дробь от целого числа (соответствует запятой в русском языке) - five * six (
    5.
    6) пять целых и шесть десятых (5,
    6) (математика) точка - * of tangency точка касания - * of contact точка соприкосновения - the * of intersection of two lines точка пересечения двух линий - * target( военное) точечная цель - * load (техническое) сосредоточенная нагрузка - * source( физическое) точечный источник( излучения) (физическое) стадия, критическая точка;
    температура - * of solidification температура затвердевания - neutral * нейтральная /нулевая/ точка - freezing * точка /температура/ замерзания (специальное) точка, отметка;
    точка деления( шкалы) - * of reference (геодезия) репер, отметка условного ууровня - the temperature has gone up two *s температура поднялась на два деления (морское) румб - cardinal * страна света;
    главный румб - * of the compass компасный румб точка (в рельефно-точечном шрифте Брайля для слепых) след, отметина - her sharp heels left *s in the carpet от ее острых каблуков на ковре остались вмятины место, пункт, точка - * of destination место назначения - * of departure пункт отправления;
    исходная точка - his * of departure is not clear его отправная точка /исходная позиция/ неясна - * of delivery( коммерческое) место сдачи;
    место доставки - * of draw (автомобильное) заправочный пункт - assembly /rallying/ * место сбора;
    сборный пункт - * fire (военное) сосредоточенный огонь - to make one's * (охота) бежать прямо к намеченному месту (о собаках и т. п.) - * of tenderness (медицина) болезненная точка - at all *s повсюду полицейский пост( разговорное) станция;
    граница тарифного участка (на трамвайной, автобусной и т. п. линиях) момент (времени) - turning * поворотный пункт;
    кризис( болезни) - at any * в любой момент - at this * he paused a few seconds тут он остановился на несколько секунд - when it came to the *, hee refused his help когда настало время (действовать), он отказался помочь порог;
    край;
    грань - at /on/ the * of death при смерти - to be on /at, upon/ the * of doing smth. собираться что-л. сделать - to be on the * of departure собраться /быть готовым/ уехать( спортивное) очко - *s for style оценка за технику прыжка (лыжный спорт) - * winner победитель по очкам - * decision /verdict/ присуждение победы по очкам (бокс, борьба) - to give *s to давать несколько очков вперед;
    превзойти;
    за пояс заткнуть - he can give *s to any opponent любому противнику он может дать несколько очков вперед - to win on *s победить по очкам (бокс, борьба) - what *s shall we play? до какого счета будем играть? - he scored 20 *s он выиграл /набрал/ 20 очков - he got 85 *s out of aa possible 100 он набрал 85 оччков из 100 возможных (американизм) единица, очко (при учете количества прослушанных лекций, проделанных лабораторных работ и т. п.) талон;
    купон;
    единица продовольственной или промтоварной карточки (в Англии по время второй мировой войны и в послевоенные годы) - cereal products are on *s крупы (продаются) только по карточкам (биржевое) пункт - ten *s off скидка в десять пунктов (полиграфия) пункт нужный результат, требуемое число( при игре в кости) (карточное) очко - what *s shall we play? по сколько будем играть? одно из 12-ти делений на доске для игры в триктрак место принимающего игрока (крикет) принимающий игрок (крикет) уровень, стандарт - moral has reached a low * мораль совсем упала - the highest * of splendour высшая степень /предел/ роскоши степень, ступень - frankness to the * of insult откровенность, граничащая с оскорблением (электротехника) точка присоединения потребляющего прибора;
    штепсельная розетка пойнт (единица веса в ювелирном деле, равная
    0. 01 карата) толщина бумаги (
    0. 01 дюйма) (редкое) конец;
    заключение пункт;
    момент - *s in a speech пункты речи /выступления/ - * by * пункт за пунктом;
    по пунктам;
    подробно, детально - * of order вопрос по порядку ведения (собрания и т. п.), процедурный вопрос - to rise to a * of order просить слово по порядку ведения собрания - to raise a * of order выступить по порядку ведения заседания - from * to * (устаревшее) со всеми подробностями, во всех деталях - at all *s по всем пунктам;
    во всех отношениях - *s of defence (юридическое) возражения ответчика по иску - we differ /disagree/ on these *s мы расходимся по этим пунктам вопрос, дело - * at issue спорный вопрос - sore * больной вопрос - fine * деталь, подробность;
    тонкость - the main * is... главное дело /-ый вопрос/ в том... - * of conscience дело совести - a * of honour вопрос чести( особ. при вызове на дуэль) - a case in * дело, относящееся к данному вопросу или обсуждаемой теме главное, суть, смысл, "соль" - off /away from, beside/ the * не по существу, не на тему, некстати - in * подходящий,, уместный - the * of a joke смысл /"соль"/ шутки - I don't see the * я не понимаю "соли" - to come to the * дойти до главного /до сути дела/ - to keep to the * говорить по существу - keep /speak/ to the *! ближе к делу! - your answer is not to the * ваш ответ не по существу - you've missed the whole * вы упустили самое главное - that's the * вот в чем дело /суть/ - that's not the * суть /дело/ не в этом мысль;
    позиция, точка зрения - * of view точка зрения - what's your *? что вы думаете по этому поводу? - I see /take/ your * я понимаю вас;
    я вижу, что вы хотите сказать /куда вы клоните/ - he has a * there! он здесь прав! цель, намерение - to gain /to carry/ one's * достичь цели, добиться своего - what's your * in coming? какова ццель вашего прихода? - there is no * in doing that нет никакого смысла делать это - I can't see the * of your writing to him не понимаю, зачем вы ему пишете отличительная, характерная черта - weak * слабое место, недостаток - * of interest интересная /любопытная/ особенность - the best * in his character самое лучшее в его характере - the good and bad *s of a man положительные и отрицательные черты характера - singing is not his strong * он не силен в пении - he has got *s он не лишен достоинств стать, статья (животного) pl экстерьер (животного) сила, мощь - hee writes with * он сильно /здорово/ пишет колкость, язвительность указывание - he added with a smile and a * at his wife добавил он, засмеявшись, и указал (пальцем) на жену намек;
    совет, предложение - *s on getting a job советы, как найти работу (устаревшее) сигнал - * of war боевой сигнал кончик;
    острие, острый конец;
    наконечник - the * of a sword острие шпаги - the * of a knife кончик /острие/ ножа - the * of the tongue кончик языка - on the *s of one's toes на цыпочках - to give a * to a pencil очинить карандаш кончик подбородка (бокс) (американизм) (металлическое) перо (морское) редька (на конце троса) штычок ледоруба (альпинизм) зуб кошки( альпинизм) укол (фехтование) - * touche туше (получение укола или удара) (военное) удар штыком мыс, выступающая морская коса;
    стрелка вершина( горы) гравировальная игла,, резец (гравера) (железнодорожное) перо или остряк (стрелочного перевода) (железнодорожное) обыкн. pl стрелочный перевод отросток оленьего рога (охота) стойка - to come to /to make/ a * делать стойку прямой полет вверх( сокола) (историческое) шнурок с металлическими наконечниками (заменявший пуговицы) (военное) головной или тыльный дозор положение( пастуха) впереди стада (игольное) кружево;
    кружево, вязанное на спицах - Brussels * брюссельское кружево стежок( на канве, холсте и т. п.) (спортивное) кросс положение на пуантах (балет) - * shoes балетные туфли( электротехника) контактный прерыватель( в двигателе автомашины) (геральдика) часть щита (определяющая фигуру) > the P. Уэст-Пойнт (военное училище в США) > in * of в отношении;
    что касается;
    по вопросу о > in * of fact в действительности, фактически > to make a * of smth. обратить особое внимание на что-л.;
    особо подчернуть важность чего-л., придавать чему-л. большое значение;
    тщательно рассмотреть что-л.;
    удостовериться, проследить;
    взять себе за правило > * of no return (авиация) критическая точка (откуда самолет не может вернуться на базу при наличном запасе топлива) ;
    критический, решающий момент;
    решение, отрезающее путь назад;
    бесповоротный шаг > to pass the * of no return перейти роковую черту > armed at all *s во всеоружии > at the swords' *s готовый к враждебным действиям;
    на ножах > at the * of the sword силой оружия;
    под давлением, под нажимом > to come to *s обнажить шпаги, начать борьбу > to put too fine a * upon излишне деликатничать > not to put a fine * upon говорить правду напрямик > to strain /to stretch/ a * не так строго соблюдать правила;
    делать большие уступки > to score a * off /against/ smb. переспорить кого-л.;
    посрамить кого-л. > to give * to smth. обострить что-л., придать остроту чему-л. > figures that give * to his argument цифры, подтверждающие его правоту > potatoes and * картошка да вода - вот и вся еда (обыкн. at, to) указывать, показывать (пальцем, рукой и т. п.;
    тж. * out) - to * one's finger at one object указывать пальцем на какой-л. предмет - to * the finger of scorn at smb. (образное) показывать пальцем на кого-л., насмехаться над кем-л., презрительно о ком-л. отзываться - to * to /out/ a door указать на дверь - it is rude to * пальцем показывать невежливо - the hands of the clock *ed to half past one стрелки часов показывали половину второго (at) указывать (на кого-л.), выделять - he was *ed at by all the mothers as an example of what a son should be все матери ставили его в пример как образцового сына указывать (на что-л.), выделять (какой-л. предмет из группы других;
    часто * out) - to * out mistakes указывать ошибки - he *ed out the finest pictures to me он показал мне самые лучшие картины - * me out the thing you want покажите, что вы хотите указывать, обращать (чье-л.) внимание;
    отмечать, подчеркивать (часто * out) - he *ed out that there were certain formalities to be observed он подчернул, что необходимо соблюсти некоторые формальности наводить, направлять (оружие) ;
    прицеливаться, целиться - to * a gun at smb. прицелиться в кого-л.;
    навести /направить/ на кого-л. пистолет быть обращенным, направленным (в какую-л. сторону) ;
    смотреть - the vane *s to the north флюгер повернут /смотрит/ на север - the house *s to the east дом обращен (фасадом) на восток - the sign *s east указатель показывает на восток (to) указывать, свидетельствовать, говорить (о чем-л.) - all the evidence *s to his guilt все показания свидетельствуют о его виновности - everything *s to your being wrong все говорит о том, что вы неправы иметь целью, стремиться - his actions *ed towards that result его действия были направлены на достижение этой цели (за) точить, заострить - to * a dart заострить стрелу - to * a pencil очинить карандаш оживлять;
    заострять, придавать остроту ( словам, выражениям;
    часто * up) - to * up the necessity for caution (еще раз) подчернуть необходимость соблюдения осторожности - he *ed everything he said with good examples он иллюстрировал свою речь яркими примерами (морское) обделывать конец "редькой" (медицина) созревать( о нарыве) (охота) делать стойку (о собаке) (строительство) расшивать швы кирпичной или каменной кладки ставить знаки препинания;
    ставить точки (в стенографических знаках, в словах семитских языков) намечать что-л. точками (музыкальное) делать разметку( на хоровой партитуре) делать паузы (в речи, при чтении) отделять десятичную дробь точкой (тж. * off) (морское) идти крутой бейдевинд (по) ставить ногу на пуанты;
    танцевать на пуантах натаскивать, готовить кого-л. (к соревнованиям) (искусство) переносить размеры с макета на камень( просверливая отверстия требуемой глубины) рационировать, выдавать что-л. по карточкам (сельскохозяйственное) закапывать (навоз) в землю (тж. * in) заострять, острить конец (прутка, катанки и т. п.) (редкое) вставлять белые волоски (в мех) addressable ~ вчт. адресуемая точка at all ~s повсюду;
    armed at all points во всеоружии;
    at point готовый( к чему-л.) ;
    to be on the point of doing (smth.) собираться (сделать что-л.) assumed decimal ~ вчт. подразумеваемая запятая at all ~s во всех отношениях at all ~s повсюду;
    armed at all points во всеоружии;
    at point готовый (к чему-л.) ;
    to be on the point of doing (smth.) собираться (сделать что-л.) at all ~s повсюду;
    armed at all points во всеоружии;
    at point готовый (к чему-л.) ;
    to be on the point of doing (smth.) собираться (сделать что-л.) ~ момент (времени) ;
    at this point he went out в этот момент он вышел;
    at the point of death при смерти ~ attr.: points verdict спорт. присуждение победы по очкам (в боксе и т. д.) ;
    point of view точка зрения;
    at the point of the sword силой оружия ~ момент (времени) ;
    at this point he went out в этот момент он вышел;
    at the point of death при смерти basis ~ исходная точка at all ~s повсюду;
    armed at all points во всеоружии;
    at point готовый (к чему-л.) ;
    to be on the point of doing (smth.) собираться (сделать что-л.) billing ~ пункт выписки счетов boom or bust ~ точка резкого подъема или спада break ~ вчт. останов break ~ вчт. прерывание break ~ вчт. точка прерывания break-even ~ уровень безубыточности breakeven ~ точка безубыточности breakeven ~ точка критического объема производства breakeven ~ точка самоокупаемости ~ ответвление оленьего рога;
    a buck of eight points олень с рогами, имеющими восемь ответвлений check ~ вчт. контрольная точка choice ~ вчт. точка выбора ~ охот. стойка (собаки) ;
    to come to (или to make) a point делать стойку he does not see my ~ он не понимает меня;
    to come to the point дойти до главного, до сути дела connecting ~ точка соединения control ~ вчт. опорная точка controversial ~ спорный пункт corner ~ крайняя точка corner ~ угловая точка corner ~ экстремальная точка critical ~ критическая точка crucial ~ переломный момент culminating ~ кульминационный пункт culminating ~ наивысшая точка decimal ~ character десятичная точка entry ~ пункт пересечения границы entry ~ вчт. точка входа equilibrium ~ точка равновесия ~ точка;
    four point six (
    4.
    6) четыре и шесть десятых (4,
    6) ;
    full point точка (знак препинания) ;
    exclamation point амер. восклицательный знак exit ~ вчт. выход fixed ~ вчт. неподвижная точка floating decimal ~ вчт. плавающая десятичная запятая floating ~ вчт. плавающая десятичная запятая floating ~ вчт. плавающая точка ~ точка;
    four point six (
    4.
    6) четыре и шесть десятых (4,
    6) ;
    full point точка (знак препинания) ;
    exclamation point амер. восклицательный знак ~ ист. единица продовольственной или промтоварной карточки;
    free from points ненормированный ~ точка;
    four point six (
    4.
    6) четыре и шесть десятых (4,
    6) ;
    full point точка (знак препинания) ;
    exclamation point амер. восклицательный знак to carry one's ~ отстоять свои позиции;
    добиться своего;
    to gain one's point достичь цели;
    off the point некстати ~ очко;
    to give points to давать несколько очков вперед;
    перен. = заткнуть за пояс global saddle ~ глобальная седловая точка he does not see my ~ он не понимает меня;
    to come to the point дойти до главного, до сути дела ~ преимущество, достоинство;
    he has got points у него есть достоинства;
    singing was not his strong point он не был силен в пении hot ~ вчт. последняя точка to the ~ вплоть до (of) ;
    in point подходящий;
    in point of в отношении;
    to make a point доказать положение to the ~ вплоть до (of) ;
    in point подходящий;
    in point of в отношении;
    to make a point доказать положение initial ~ исходная точка insertion ~ вчт. точка вставки jumping off ~ стартовая площадка kill ~ вчт. этап критического анализа limit ~ предельная точка limiting ~ предельная точка low cyclical ~ самая низкая точка экономического цикла lower intervention ~ нижний уровень вмешательства в экономику to make a ~ (of smth.) считать( что-л.) обязательным для себя;
    not to put too fine a point upon it говоря напрямик to the ~ вплоть до (of) ;
    in point подходящий;
    in point of в отношении;
    to make a point доказать положение moot ~ спорный вопрос to make a ~ (of smth.) считать (что-л.) обязательным для себя;
    not to put too fine a point upon it говоря напрямик ~ пункт, момент, вопрос;
    дело;
    fine point деталь, мелочь;
    тонкость;
    point of honour дело чести;
    on this point на этот счет peg ~ курс валюты, при достижении которого начинаются интервенционистские меры percentage ~ процентная точка plotted ~ точка на графике point быть направленным ~ вершина горы ~ вид кружева ~ вопрос ~ главное, суть;
    смысл;
    "соль" (рассказа, шутки) ;
    that is just the point в этом-то и дело ~ говорить, свидетельствовать (to - о) ~ воен. головной или тыльный дозор ~ делать стойку (о собаке) ~ деление шкалы ~ ист. единица продовольственной или промтоварной карточки;
    free from points ненормированный ~ (гравировальная) игла, резец (гравера) ~ кончик;
    острие, острый конец;
    наконечник ~ место ~ момент (времени) ;
    at this point he went out в этот момент он вышел;
    at the point of death при смерти ~ момент ~ мыс, выступающая морская коса;
    стрелка ~ направлять (оружие;
    at) ;
    наводить, целиться, прицеливаться ~ одна десятитысячная валютного курса ~ оживлять;
    придавать остроту ~ особенность ~ ответвление оленьего рога;
    a buck of eight points олень с рогами, имеющими восемь ответвлений ~ очко;
    to give points to давать несколько очков вперед;
    перен. = заткнуть за пояс ~ очко ~ ж.-д. перо или остряк (стрелочного перевода) ;
    стрелочный перевод ~ показывать пальцем;
    указывать (тж. point out;
    at, to) ~ преимущество, достоинство;
    he has got points у него есть достоинства;
    singing was not his strong point он не был силен в пении ~ полигр. пункт ~ пункт, момент, вопрос;
    дело;
    fine point деталь, мелочь;
    тонкость;
    point of honour дело чести;
    on this point на этот счет ~ пункт ~ стр. расшивать швы;
    point off отделять точкой;
    point out указывать;
    показывать;
    обращать (чье-л.) внимание ~ мор. редька (оплетенный конец снасти) ~ мор. румб ~ ставить знаки препинания ~ статья (животного) ;
    pl экстерьер (животного) ~ статья ~ охот. стойка (собаки) ;
    to come to (или to make) a point делать стойку ~ существо дела ~ (за) точить, (за) острить;
    наточить ~ точка, место, пункт;
    амер. станция;
    a point of departure пункт отправления ~ точка;
    four point six (
    4.
    6) четыре и шесть десятых (4,
    6) ;
    full point точка (знак препинания) ;
    exclamation point амер. восклицательный знак ~ вчт. точка ~ точка ~ указать ~ характерная черта ~ чинить (карандаш) ~ ист. шнурок с наконечником (заменявший пуговицы) ~ attr.: points verdict спорт. присуждение победы по очкам (в боксе и т. д.) ;
    point of view точка зрения;
    at the point of the sword силой оружия there is no ~ in doing that не имеет смысла делать это;
    the point is that... дело в том, что... ~ of contact коллизионная привязка ~ of culmination кульминационный пункт ~ точка, место, пункт;
    амер. станция;
    a point of departure пункт отправления ~ of departure пункт вылета ~ of departure пункт отправления ~ of law вопрос права ~ of no return вчт. точка необратимости ~ of origin начало координат ~ of reference базисный пункт ~ of reference исходная точка ~ of reference контрольная точка ~ of reference опорная точка ~ of sale (POS) место продажи ~ of sale (POS) терминал для производства платежей в месте совершения покупки ~ of sale (POS) торговая точка ~ of time момент времени ~ attr.: points verdict спорт. присуждение победы по очкам (в боксе и т. д.) ;
    point of view точка зрения;
    at the point of the sword силой оружия ~ of view точка зрения ~ стр. расшивать швы;
    point off отделять точкой;
    point out указывать;
    показывать;
    обращать (чье-л.) внимание ~ стр. расшивать швы;
    point off отделять точкой;
    point out указывать;
    показывать;
    обращать (чье-л.) внимание ~ to ~ вчт. двухточечный ~ attr.: points verdict спорт. присуждение победы по очкам (в боксе и т. д.) ;
    point of view точка зрения;
    at the point of the sword силой оружия preliminary ~ предварительная проблема preliminary ~ предварительный вопрос price ~ пункт курса ценных бумаг principal ~ основной вопрос principal ~ основной момент reentery ~ вчт. точка повторного перехода reentry ~ вчт. точка повторного входа reference ~ базисная точка reference ~ исходная точка reference ~ вчт. опорная точка reference ~ опорная точка reference ~ точка отсчета reference: ~ attr. справочный;
    reference book справочник;
    reference library справочная библиотека( без выдачи книг на дом) ;
    reference point ориентир rescue ~ вчт. контрольная точка restart ~ вчт. точка возобновления return ~ вчт. точка перезапуска saddle ~ седловая точка sales ~ торговая точка sample ~ выборочная точка sample ~ элемент выборки selling ~ коммерческий аргумент sequence ~ точка оценки service ~ станция обслуживания significance ~ уровень значимости silver ~ рисунок серебряным карандашом ~ преимущество, достоинство;
    he has got points у него есть достоинства;
    singing was not his strong point он не был силен в пении specie ~ золотая точка( уровень валютного курса, при котором происходит международное перемещение золота) spy ~ вчт. контрольная точка starting ~ отправная точка starting ~ отправной пункт strong ~ воен. опорный пункт strong ~ перен. сильное место suboptimal ~ точка локального оптимума subsidiary ~ дополнительный вопрос support ~ интервенционная точка support ~ уровень поддержки ~ главное, суть;
    смысл;
    "соль" (рассказа, шутки) ;
    that is just the point в этом-то и дело there is no ~ in doing that не имеет смысла делать это;
    the point is that... дело в том, что... to the ~ вплоть до (of) ;
    in point подходящий;
    in point of в отношении;
    to make a point доказать положение to the ~ кстати, уместно transit ~ физ. точка перехода turnig ~ вчт. точка возврата turning ~ поворотная точка экономического цикла turning ~ поворотный пункт turning ~ решающий момент upper intervention ~ верхний уровень вмешательства в экономику upper turning ~ верхняя точка поворота экономического цикла upper turning ~ начало кризиса view ~ точка наблюдения witness ~ место для дачи свидетельских показаний в суде

    Большой англо-русский и русско-английский словарь > point

  • 17 Northrop, James H.

    SUBJECT AREA: Textiles
    [br]
    fl. 1890s Keighley, Yorkshire, England
    [br]
    English-born American inventor of the first successful loom to change the shuttles automatically when the weft ran out.
    [br]
    Although attempts had been continuing since about 1840 to develop a loom on which the shuttles were changed automatically when the weft was exhausted, it was not until J.H.Northrop invented his cop-changer and patented it in the United States in 1894 that the automatic loom really became a serious competitor to the ordinary power loom. Northrop was born at Keighley in Yorkshire but emigrated to America, where he developed his loom. In about 1891 he appears to have been undecided whether to work on the shuttle-changing system or the copchanging system, for in that year he took out three patents, one of which was for a shuttle changer and the other two for cop-changers.
    A communication from W.F.Draper, Northrop's employer, was used in 1894 as a patent in Britain for a cop-or bobbin-changing automatic loom, which was in fact the Northrop loom. A further five patents for stop motions were taken out in 1895, and yet another in 1896. In one shuttle-box, a feeler was pushed through a hole in the side of the shuttle each time the shuttle entered the box. When the cop of weft was full, the loom carried on working normally. If lack of weft enabled the feeler to enter beyond a certain point, a device was activated which pushed a full cop down into the place of the old one. The full cops were contained in a rotary magazine, ready for insertion.
    The full Northrop loom comprised several basic inventions in addition to the cop-changer, namely a self-threading shuttle, a weft-fork mechanism to stop the loom, a warp let-off mechanism and a warp-stop motion. The Northrop loom revolutionized cotton weaving in America and the Northrop system became the basis for most later automatic looms. While Northrop looms were made in America and on the European continent, they never achieved much popularity in Britain, where finer cloth was usually woven.
    [br]
    Further Reading
    W.A.Hanton, 1929, Automatic Weaving, London (describes the Northrop loom and has good illustrations of the mechanism).
    W.English, 1969, The Textile Industry, London (explains the Northrop system). C.Singer (ed.), 1958, A History of Technology, Vol. V, Oxford: Clarendon Press.
    RLH

    Biographical history of technology > Northrop, James H.

См. также в других словарях:

  • basis — [[t]be͟ɪsiːz[/t]] ♦♦ bases 1) N SING: with supp, usu on N If something is done on a particular basis, it is done according to that method, system, or principle. We re going to be meeting there on a regular basis... The tea is prepared on a rota… …   English dictionary

  • Basis (linear algebra) — Basis vector redirects here. For basis vector in the context of crystals, see crystal structure. For a more general concept in physics, see frame of reference. In linear algebra, a basis is a set of linearly independent vectors that, in a linear… …   Wikipedia

  • basis — / beIsifis/ noun plural bases /si:z/ (C) 1 the facts or ideas from which something can be developed: Their claim had no basis in fact. (+ for): The video will provide a basis for class discussion. (+ of): a lecture series that later formed the… …   Longman dictionary of contemporary English

  • BASIS Charter School — is a school in Tucson, Arizona. In 2006, its High School was named # 3 on Newsweek s Top 1200 High Schools list, #6 in 2007, and #1 in 2008. [http://www.newsweek.com/id/39380 GT1=43001 The Complete List: 1,300 Top U.S. Schools ] , Newsweek , May… …   Wikipedia

  • Basis (universal algebra) — Definitions The basis (or reference frame) of a (universal) algebra is a function b that takes some algebra elements as values b(i) and satisfies either one of the following two equivalent conditions. Here, the set of all b(i) is called basis set …   Wikipedia

  • Basis set (chemistry) — A basis set in chemistry is a set of functions used to create the molecular orbitals, which are expanded as a linear combination of such functions with the weights or coefficients to be determined. Usually these functions are atomic orbitals, in… …   Wikipedia

  • Basis of Union (Uniting Church in Australia) — The Basis of Union (often termed the BoU) is the document which formed the basis on which most congregations of the Congregational Union of Australia, Methodist Church of Australasia and Presbyterian Church of Australia united to form the Uniting …   Wikipedia

  • Invariant basis number — In mathematics, the invariant basis number (IBN) property of a ring R is the property that all free modules over R are similarly well behaved as vector spaces, with respect to the uniqueness of their ranks. Definition A ring R has invariant basis …   Wikipedia

  • Historical basis for King Arthur — The historical basis of King Arthur is a source of considerable debate among historians. The King Arthur of Arthurian legend appears in many legends but it has not been decisively established whether his origin was entirely mythical or whether he …   Wikipedia

  • Gröbner basis — In computer algebra, computational algebraic geometry, and computational commutative algebra, a Gröbner basis is a particular kind of generating subset of an ideal I in a polynomial ring R. One can view it as a multivariate, non linear… …   Wikipedia

  • On the Basis of Morality — (German: Über die Grundlage der Moral) is one of Arthur Schopenhauer s major works in ethics, in which he argues that morality stems from compassion. Schopenhauer begins with a criticism of Kant s Groundwork of the Metaphysic of Morals, which… …   Wikipedia

Поделиться ссылкой на выделенное

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