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branches of knowledge

  • 1 отрасли знания

    Русско-английский технический словарь > отрасли знания

  • 2 отрасли знаний

    Русско-английский политический словарь > отрасли знаний

  • 3 науки

    branches of knowledge

    – естественные науки
    – социальные науки
    – технические науки
    – элементы науки

    область науки или искусства — faculty

    Русско-английский технический словарь > науки

  • 4 ज्ञानम् _jñānam

    ज्ञानम् [ज्ञा-भावे ल्युट्]
    1 Knowing, understanding, becoming acquainted with, proficiency; सांख्यस्य योगस्य च ज्ञानम् Māl.1.7.
    -2 Knowledge, learning; तथेन्द्रियाकुलीभावे ज्ञेयं ज्ञानेन शुध्यति Mb.12.24.2; बुद्धिर्ज्ञानेन शुध्यति Ms.5.19; ज्ञाने मौनं क्षमा शत्रौ R.1.22.
    -3 Consciousness, cognizance, knowledge; ज्ञानतो$ज्ञानतो वापि Ms.8.288 knowingly or unknowingly, consciously or unconsciously.
    -4 Sacred knowledge; especially, knowledge derived from medi- tation on the higher truths of religion and philosophy which teaches man how to understand his own nature and how he may be reunited to the Supreme Spirit (opp. कर्मन्); cf. ज्ञानयोग and कर्मयोग in Bg.3.3.
    -5 The organ of intelligence, sense, intellect; कच्चिज्ज्ञानानि सर्वाणि प्रसन्नानि तवाच्युत Mb.12.54.18.
    -6 Conscience.
    -7 The Supreme spirit.
    -8 An epithet of Viṣṇu.
    -9 The Vedas taken collectively.
    -1 Means of knowing; औत्पक्तिकस्तु शब्दस्यार्थेन सम्बन्धस्तस्य ज्ञानम्˚ । MS.1.1.5.
    -11 An opinion, a view; बलदेवस्य वाक्यं तु मम ज्ञाने न युज्यते Mb.5.4.3.
    -Comp. -अग्निः knowledge-fire; ज्ञानाग्निः सर्वकर्माणि भस्मसात्कुरुते$र्जन Bg.4.37.
    -अनुत्पादः ignorance, folly.
    -अपोहः forgetfulness.
    -अभ्यासः 1 study.
    -2 thinking, reflection.
    -आत्मन् a. all wise.
    -इन्द्रियम् an organ of perception; (these are five त्वच्, रसना, चक्षुस्, कर्ण and घ्राण- the skin, tongue, eye, ear and nose; see बुद्धीन्द्रिय under इन्द्रिय).
    -काण्डम् that inner or esoteric portion of Veda which refers to true spiritual knowledge, or know- ledge of the Supreme spirit, as distinguished from the knowledge of ceremonial rites (opp. कर्मकाण्ड).
    -कृत a. done knowingly or intentionally.
    -गम्य a. attainable by the understanding.
    -घन m. pure or mere know- ledge; निर्विशेषाय साम्याय नमो ज्ञानघनाय च Bhāg.8.3.12; तं त्वामहं ज्ञानघनं...कथं...परिभावयामि ibid 9.8.24.
    -चक्षुस् n. the eye of intelligence, the mind's eye, intellectual vision (opp. चर्मचक्षुस्); सर्वं तु समवेक्ष्येदं निखिलं ज्ञानचक्षुषा Ms.2.8;4.24. (-m.) a wise and learned man.
    -तत्त्वम् true knowledge, knowledge of God.
    -तपस् n. penance consisting in the acquisition of true knowledge.
    -दः a preceptor.
    -दा an epithet of Sarasvatī.
    -दुर्बल a. wanting in knowledge.
    -निश्चयः certainty, ascertain- ment.
    -निष्ठ a. intent on acquiring true (spiritual) knowledge; ज्ञानिनिष्ठा द्विजाः केचित् Ms.3.134.
    -पतिः 1 the Supreme spirit.
    -2 a teacher, preceptor.
    -पूर्व a. prece- ded by knowledge, well-considered; निष्कामं ज्ञानपूर्वं तु निवृत्तमुपदिश्यते Ms.12.89.
    -बोधिनी f. N. of a Vedāntic treatise.
    -मुद्र a. 'having the impress of wisdom', wise.
    -मूल a. founded on spiritual knowledge.
    -यज्ञः a man possessed of true or spiritual knowledge, philosopher.
    -योगः contemplation as the principal means of, attaining the Supreme spirit or acquiring true or spiritual knowledge; ज्ञानयोगेन सांख्यानां कर्मयोगेण योगिनाम् Bg.3.3.
    -लक्षणम्, -णा 1 indication, sign, a means of knowing or inferring.
    -2 (in logic) sign or proof of knowledge; subsequent derived from antecedent knowledge.
    -विज्ञानम् 1 sacred and miscellaneous knowledge; तत्प्राज्ञेन विनीतेन ज्ञानविज्ञानवेदिनाMs.18.41.
    -2 the Vedas with the supplementary branches of knowledge, such as medicine, arms &c.
    -वृद्ध advanced in knowledge; ज्ञानवृद्धो वयोबालो मृदुर्वीर्यगुणान्वितः Rām.2.45.8.
    -शास्त्रम् the science of fortune-telling.
    -साधनम् 1 a means of acquiring true or spiritual knowledge.
    -2 an organ of perception.

    Sanskrit-English dictionary > ज्ञानम् _jñānam

  • 5 отрасли науки

    1) General subject: branches of knowledge

    Универсальный русско-английский словарь > отрасли науки

  • 6 branca

    f (pl -che) branch ( also fig)
    * * *
    branca s.f.
    1 jaw: branche della tenaglia, jaws of pliers
    2 ( zampa, artiglio) claw; (fig.) clutches (pl.): cadere nelle branche di qlcu., to fall into s.o.'s clutches
    3 (sezione, settore) branch: una branca della scienza, a branch of science
    4 branca di scale, (non com.) flight of stairs
    5 (anat.) branch
    6 (mar.) cringle
    7 (bot.): branca ursina, ( Acanthus mollis) brank-ursine; ( Heracleum sphondylium) hogweed.
    * * *
    pl. - che ['branka, ke] sostantivo femminile
    1) (di uccelli) claw, talon; (di felini) claw
    3) (ramo) branch (anche fig.)
    * * *
    branca
    pl. - che /'branka, ke/
    sostantivo f.
     1 (di uccelli) claw, talon; (di felini) claw
     2 (di utensili) jaw
     3 (ramo) branch (anche fig.); tutte le -che del sapere all branches of knowledge.

    Dizionario Italiano-Inglese > branca

  • 7 encyclopaedia

    دائِرَة مَعارِف \ encyclopaedia: a book (or set of books) that deals with facts about all branches of knowledge in alphabetical order. \ مَوْسُوعَة \ encyclopaedia: a book (or set of books) that deals with facts about all branches of knowledge in alphabetical order.

    Arabic-English glossary > encyclopaedia

  • 8 دائرة

    دائِرَة \ circle: a perfectly round figure. department: a division of sth. (shops, business, government, etc.). \ دائِرَة (أَبْرَشِيَّة)‏ \ parish: an area of land with its own church; the same area, treated as the smallest division of local government in England. \ دائِرَة البُرُوج (السّماويّة)‏ \ zodiac: (with the) an imaginary strip in space which is divided into 12 equal parts, each named after a group of stars. \ دائِرَة مَعارِف \ encyclopaedia: a book (or set of books) that deals with facts about all branches of knowledge in alphabetical order.

    Arabic-English dictionary > دائرة

  • 9 موسوعة

    مَوْسُوعَة \ encyclopaedia: a book (or set of books) that deals with facts about all branches of knowledge in alphabetical order.

    Arabic-English dictionary > موسوعة

  • 10 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

  • 11 отрасль отрасл·ь

    branch, field

    отрасль знаний — branch / field of knowledge

    отрасли, производящие предметы народного потребления — consumer goods industries

    ключевые / главные отрасли промышленности — key industries, key branches of industry

    отрасль экономики — branch / sector of economy

    Russian-english dctionary of diplomacy > отрасль отрасл·ь

  • 12 biblioteca general

    (n.) = central library, general library
    Ex. The library catalogue of one library alone may be available in different physical forms for different locations (for example, computer book form for library branches, and microfiche for a central library).
    Ex. A general library is a library which covers in principle all fields of knowledge.
    * * *
    (n.) = central library, general library

    Ex: The library catalogue of one library alone may be available in different physical forms for different locations (for example, computer book form for library branches, and microfiche for a central library).

    Ex: A general library is a library which covers in principle all fields of knowledge.

    Spanish-English dictionary > biblioteca general

  • 13 Baum

    m; -(e)s, Bäume
    1. tree; blühende Bäume trees in blossom; ein abgestorbener Baum a dead tree; stark wie ein Baum sein be as strong as an ox; ein Baum von einem Mann a giant of a man; die Bäume wachsen nicht in den Himmel there’s a limit to everything, you can’t have everything, you can’t win them all umg.; zwischen Baum und Borke stecken oder sitzen be between the devil and the deep blue sea, be between a rock and a hard place; es ist, um auf die Bäume zu klettern umg. it’s enough to ( oder it would) drive you up the wall(s); der Baum der Erkenntnis fig. the Tree of Knowledge; einen alten Baum soll man nicht verpflanzen Sprichw. if the roots run deep, leave the tree where it is; ich könnte Bäume ausreien I feel up to anything
    2. NAUT. boom
    * * *
    der Baum
    (Pflanze) tree
    * * *
    [baum]
    m -(e)s, Bäume
    ['bɔymə] tree

    auf dem Báúm — in the tree

    der Báúm der Erkenntnis (Bibl) — the tree of knowledge

    er ist stark wie ein Báúm — he's as strong as an ox

    zwischen Báúm und Borke stecken or stehen — to be in two minds

    die Bäume wachsen nicht in den Himmel (prov) — all good things come to an end

    einen alten Báúm or alte Bäume soll man nicht verpflanzen (prov) — you can't teach an old dog new tricks

    ein Kerl wie ein Báúm (inf) — a tall, athletic guy (inf)

    See:
    * * *
    (the largest kind of plant, with a thick, firm, wooden stem and branches: We have three apple trees growing in our garden.) tree
    * * *
    <-[e]s, Bäume>
    [baum, pl ˈbɔymə]
    m
    1. (Pflanze) tree
    der \Baum der Erkenntnis the Tree of Knowledge
    stark wie ein \Baum [as] strong as a horse [or an ox]
    auf einen \Baum klettern to climb [up] a tree
    Bäume ausreißen können (fig fam: voller Energie sein) to be full of energy [or fam beans]; (viel leisten können) to feel able to tackle anything
    2. INFORM (Suchbaum) tree [structure]
    3.
    ▶ einen alten \Baum [o alte Bäume] soll man nicht verpflanzen (prov) old people should be left in familiar surroundings
    ▶ zwischen \Baum und Borke stehen [o stecken] to be in two minds [about sth], to be stuck between a rock and a hard place
    ▶ die Bäume wachsen nicht in den Himmel (prov) all good things come to an end prov
    * * *
    der; Baum[e]s, Bäume tree

    Bäume ausreißen können — (fig. ugs.) be or feel ready to tackle anything

    * * *
    Baum m; -(e)s, Bäume
    1. tree;
    blühende Bäume trees in blossom;
    stark wie ein Baum sein be as strong as an ox;
    ein Baum von einem Mann a giant of a man;
    die Bäume wachsen nicht in den Himmel there’s a limit to everything, you can’t have everything, you can’t win them all umg;
    sitzen be between the devil and the deep blue sea, be between a rock and a hard place;
    es ist, um auf die Bäume zu klettern umg it’s enough to ( oder it would) drive you up the wall(s);
    der Baum der Erkenntnis fig the Tree of Knowledge;
    einen alten Baum soll man nicht verpflanzen sprichw if the roots run deep, leave the tree where it is;
    ich könnte Bäume ausreißen I feel up to anything
    2. SCHIFF boom
    * * *
    der; Baum[e]s, Bäume tree

    Bäume ausreißen können — (fig. ugs.) be or feel ready to tackle anything

    * * *
    ¨-e m.
    boom (sailing ships) n.
    tree n.

    Deutsch-Englisch Wörterbuch > Baum

  • 14 Logical Positivism

       There have been many opponents of metaphysics from the Greek sceptics to the empiricists of the nineteenth century. Criticisms of very diverse kinds have been set forth. Many have declared that the doctrine of metaphysics is false, since it contradicts our empirical knowledge. Others have believed it to be uncertain, on the ground that its problems transcend the limits of human knowledge. Many anti-metaphysicians have declared that occupation with metaphysical questions is sterile. Whether or not these questions can be answered, it is at any rate unnecessary to worry about them; let us devote ourselves entirely to the practical tasks which confront active men every day of their lives!
       The development of modern logic has made it possible to give a new and sharper answer to the question of the validity and justification of metaphysics. The researchers of applied logic or the theory of knowledge, which aim at clarifying the cognitive content of scientific statements and thereby the meanings of the terms that occur in the statements, by means of logical analysis, lead to a positive and to a negative result. The positive result is worked out in the domain of empirical science; the various concepts of the various branches of science are clarified; their formal, logical and epistemological connections are made explicit.
       In the domain of metaphysics, including all philosophy of value and normative theory, logical analysis yields the negative result that the al leged statements in this domain are entirely meaningless. Therewith a radical elimination of metaphysics is attained, which was not yet possible from the earlier anti-metaphysical standpoints. (Carnap, 1959, p. 60)

    Historical dictionary of quotations in cognitive science > Logical Positivism

  • 15 Branche

    [‘bra:∫ә] f; -, -n; WIRTS.
    1. industrial sector, (branch of) industry
    2. line of business, trade; seine Branche ist die Chemie he is in the chemical business
    * * *
    die Branche
    industry; business line; business; branch of business; line; industrial branch; sector of industry; branch of industry
    * * *
    Bran|che ['bratildˑːʃə]
    f -, -n
    (= Fach) field, department; (= Gewerbe) trade; (= Geschäftszweig) area of business, trade; (= Wirtschaftszweig) (branch of) industry

    das gehört in seine Branche — that's in his line or department or field

    * * *
    Bran·che
    <-, -n>
    [ˈbrã:ʃə]
    f
    1. (Wirtschaftszweig) line of business
    * * *
    die; Branche, Branchen [branch of] industry

    er kennt sich in der Branche am besten aus — he has the most knowledge of the industry

    * * *
    Branche [ˈbrãːʃə] f; -, -n; WIRTSCH
    1. industrial sector, (branch of) industry
    2. line of business, trade;
    seine Branche ist die Chemie he is in the chemical business
    * * *
    die; Branche, Branchen [branch of] industry
    * * *
    -n f.
    branch n.
    (§ pl.: branches)
    line n.

    Deutsch-Englisch Wörterbuch > Branche

  • 16 отрасли знаний, накопленных человечеством

    Универсальный русско-английский словарь > отрасли знаний, накопленных человечеством

  • 17 М-105

    НА ПУСТОМ (ГОЛОМ) МЕСТЕ PrepP these forms only adv fixed WO
    1. \М-105 начинать to start sth. at the very beginning, from nothing: (start) from scratch
    (in limited contexts) (start) with a clean slate.
    (Бакченин:) Мне на голом месте начинать. Я должен быть свободен, чтоб заставить себя заниматься, заставить сидеть над книгами в Публичке, вообще переключиться с этой жизни на ту... (Панова 1). (В.:) I need to start with a clean slate. I have to be free in order to make myself work, to make myself sit over books in the public library, to switch over from this life to the one I want... (1a).
    2. возникнуть, появиться и т. п. - (often neg) ( usu. of a cultural phenomenon, school of thought etc) (to emerge, spring etc) in isolation from and not founded on any already existing (phenomenon, school of thought etc): out of nowhere
    in a vacuum in vacuo.
    ...Много позже искусство христианской Европы строилось... не на пустом месте и не на греко-латинском фундаменте только, но на базе местных, древнеязыческих форм, чутких и восприимчивых к голосу новой эстетики именно соединением крайностей красоты и гротеска (Терц 3)....The much later art of Christian Europe arose not in vacuo and not on Greco-Latin foundations alone but on the basis of ancient pagan forms of its own, which proved entirely consonant with the aesthetics of the new era for the very reason that they already combined the extremes of the beautiful and the grotesque (3a).
    И не всё у них (западных авторов) ошибочно. Есть кое-что заслуживающее внимания. Не на пустом же месте они вырастают, а на здоровом древе познания (Зиновьев 1). ( context transl) And they (Western authors) are not always wrong. There is something there worthy of attention. They do not spring up like weeds in the desert, they are branches of the great and healthy tree of knowledge (1a).
    3. coll without any cause
    for no apparent reason
    for no reason at all
    Neg не на пустом месте = for good reason.
    Ссоры вспыхивали зря, на пустом месте... (Мандельштам 2). ( context transl) Our squabbles were about nothing at all... (2a)

    Большой русско-английский фразеологический словарь > М-105

  • 18 на голом месте

    • НА ПУСТОМ < ГОЛОМ> МЕСТЕ
    [PrepP; these forms only; adv; fixed WO]
    =====
    1. на голом месте начинать to start sth. at the very beginning, from nothing:
    - [in limited contexts](start) with a clean slate.
         ♦ [Бакченин:] Мне на голом месте начинать. Я должен быть свободен, чтоб заставить себя заниматься, заставить сидеть над книгами в Публичке, вообще переключиться с этой жизни на ту... (Панова 1). [В.:] I need to start with a clean slate. I have to be free in order to make myself work, to make myself sit over books in the public library, to switch over from this life to the one I want... (1a).
    2. возникнуть, появиться и т.п. - [often neg]
    ⇒ (usu. of a cultural phenomenon, school of thought etc) (to emerge, spring etc) in isolation from and not founded on any already existing (phenomenon, school of thought etc):
    - in vacuo.
         ♦...Много позже искусство христианской Европы строилось... не на пустом месте и не на греко-латинском фундаменте только, но на базе местных, древнеязыческих форм, чутких и восприимчивых к голосу новой эстетики именно соединением крайностей красоты и гротеска (Терц 3)....The much later art of Christian Europe arose not in vacuo and not on Greco-Latin foundations alone but on the basis of ancient pagan forms of its own, which proved entirely consonant with the aesthetics of the new era for the very reason that they already combined the extremes of the beautiful and the grotesque (3a).
         ♦ И не всё у них [западных авторов] ошибочно. Есть кое-что заслуживающее внимания. Не на пустом же месте они вырастают, а на здоровом древе познания (Зиновьев 1). [context transl] And they [Western authors] are not always wrong. There is something there worthy of attention. They do not spring up like weeds in the desert; they are branches of the great and healthy tree of knowledge (1a).
    3. coll without any cause:
    || Neg не на пустом месте≈ for good reason.
         ♦ Ссоры вспыхивали зря, на пустом месте... (Мандельштам 2). [context transl] Our squabbles were about nothing at all... (2a)

    Большой русско-английский фразеологический словарь > на голом месте

  • 19 на пустом месте

    • НА ПУСТОМ < ГОЛОМ> МЕСТЕ
    [PrepP; these forms only; adv; fixed WO]
    =====
    1. на пустом месте начинать to start sth. at the very beginning, from nothing:
    - [in limited contexts](start) with a clean slate.
         ♦ [Бакченин:] Мне на голом месте начинать. Я должен быть свободен, чтоб заставить себя заниматься, заставить сидеть над книгами в Публичке, вообще переключиться с этой жизни на ту... (Панова 1). [В.:] I need to start with a clean slate. I have to be free in order to make myself work, to make myself sit over books in the public library, to switch over from this life to the one I want... (1a).
    2. возникнуть, появиться и т.п. - [often neg]
    ⇒ (usu. of a cultural phenomenon, school of thought etc) (to emerge, spring etc) in isolation from and not founded on any already existing (phenomenon, school of thought etc):
    - in vacuo.
         ♦...Много позже искусство христианской Европы строилось... не на пустом месте и не на греко-латинском фундаменте только, но на базе местных, древнеязыческих форм, чутких и восприимчивых к голосу новой эстетики именно соединением крайностей красоты и гротеска (Терц 3)....The much later art of Christian Europe arose not in vacuo and not on Greco-Latin foundations alone but on the basis of ancient pagan forms of its own, which proved entirely consonant with the aesthetics of the new era for the very reason that they already combined the extremes of the beautiful and the grotesque (3a).
         ♦ И не всё у них [западных авторов] ошибочно. Есть кое-что заслуживающее внимания. Не на пустом же месте они вырастают, а на здоровом древе познания (Зиновьев 1). [context transl] And they [Western authors] are not always wrong. There is something there worthy of attention. They do not spring up like weeds in the desert; they are branches of the great and healthy tree of knowledge (1a).
    3. coll without any cause:
    || Neg не на пустом месте≈ for good reason.
         ♦ Ссоры вспыхивали зря, на пустом месте... (Мандельштам 2). [context transl] Our squabbles were about nothing at all... (2a)

    Большой русско-английский фразеологический словарь > на пустом месте

  • 20 बहु _bahu

    बहु a. (
    हु or
    ही f.; compar. भूयस्; super. भूयिष्ठ)
    1 Much, plentiful, abundant, great; तस्मिन् बहु एतदपि Ś.4. 'even this was much for him' (was too much to be expected of him); बहु प्रष्टव्यमत्र Mu.3; अल्पस्य हेतोर्बहु हातुमिच्छन् R.2.47.
    -2 Many, numerous; as in बह्वक्षर, बहुप्रकार.
    -2 Frequented, repeated.
    -4 Large, great.
    -5 Abounding or rich in (as first member of comp.); बहुकण्टको देशः &c. ind.
    1 Much, abundantly, very much, exceedingly, greatly, in a high degree.
    -2 Somewhat, nearly, almost; as in बहुतृण. (किं बहुन 'why say much', 'in short'; बहु मन् to think or esteem highly, rate high, prize, value; त्वत्संभावितमात्मानं बहु मन्यामहे वयम् Ku.6.2; ययातेरिव शर्मिष्ठा भर्तुर्बहुमता भव Ś.4.7;7. 1; R.12.89; येषां च त्वं बहुमतो भूत्वा यास्यसि लाघवम् Bg.2. 35; Bk.3.53;5.84;8.12.)
    -Comp. -अक्षर a. having many syllables, polysyllabic (as a word).
    -अच्, -अच्क a. having many vowels, polysyllabic.
    -अनर्थ a. fraught with many evils.
    -अप्, -अप a. watery.
    -अपत्य a.
    1 having a numerous progeny.
    -2 (in astrol.) promising a numerous progeny.
    (-त्यः) 1 a hog.
    -2 a mouse, rat. (
    -त्या) a cow that has often calved.
    -अपाय a. exposed to many risks; स्वगृहो- द्यानगते$पि स्निग्धैः पापं विशङ्क्यते मोहात् । किमु दुष्टबह्वपायप्रतिभय- कान्तारमध्यस्थे ॥ Pt.2.166.
    -अर्थ a.
    1 having many senses.
    -2 having many objects.
    -3 important.
    -आशिन् a. voracious, gluttonous, बह्वाशी स्वल्पसन्तुष्टः सुनिद्रो लघुचेतनः । प्रभुभक्तश्च शूरश्च ज्ञातव्याः षट् शुनो गुणाः ॥ Chāṇakya. -m. N. of a son of Dhṛitarāṣṭra.
    -उदकः a kind of mendicant who lives in a strange town and maintains himself with alms got by begging from door to door; cf. कुटीचक.
    -उपयुक्त a. made to serve a manifold purpose; बहूप- युक्ता च बुद्धिः Dk.2.4.
    -उपाय a. effective.
    -ऋच् a. having many verses. (-f.) a term applied to the Ṛigveda.
    -ऋच a. having many verses. (
    -चः) one conversant with the Ṛigveda. (
    -ची) The wife of one who studies the Ṛigveda. Hence ˚ब्राह्मणम् means the Aitareya Brāhmaṇa which belongs to the Ṛigveda; बह्वृचब्राह्मणे श्रूयते ŚB. on MS.6.3.1.
    -एनस् a. very sinful.
    -कर a.
    1 doing much, busy, industrious.
    -2 useful in many ways.
    (-रः) 1 a sweeper, cleaner.
    -2 a camel.
    -3 the sun; बहुकरकृतात् प्रातःसंमार्जनात् N.19.13. (
    -री) a broom.
    -कारम् abundance; बहुकारं च सस्यानाम् Mb.12.193.21.
    -कालम् ind. for a long time.
    -कालीन a. of a long standing, old, ancient.
    -कूर्चः a kind of cocoa-nut tree.
    -क्रमः a Krama of more than three words; cf. क्रम.
    -क्षम a. patient; अतो$त्र किंचिद्भवतीं बहुक्षमां द्विजाति- भावादुपपन्नचापलः Ku.5.4.
    (-मः) 1 a Buddha.
    -2 a Jaina deified saint.
    -क्षारम् Soap; Nigh. Ratn. (
    -रः) a kind of alkali.
    -क्षीरा a cow giving much milk.
    -गन्ध a. strong-scented. (
    -न्धम्) cinnamon.
    -गन्धदा musk.
    -गन्धा 1 the Yūthikā creeper.
    -2 a bud of the Champaka tree.
    -गुण a. having many threads or qualities.
    -गुरुः One who has read much but superficially; sciolist.
    -गोत्रज a. having many blood relations.
    -ग्रन्थिः Tamarix Indica (Mar. वेळु ?).
    -च्छल a. deceitful.
    -छिन्ना a species of Cocculus (Mar. गुळवेल).
    -जनः a great multitude of people. ˚हितम् the common weal.
    -जल्प a. garrulous, talkative, loquacious.
    -ज्ञ a. knowing much, well informed, possessed of great knowledge.
    -तन्त्रीक a. many-stringed (as a musical instrument).
    -तृणम् anything much like grass; (hence) what is unimportant or contemptible; निदर्शनम- साराणां लघुर्बहुतृणं नरः Śi.2.5; N.22.137.
    -2 abounding in grass.
    -त्वक्कः, -त्वच् m. a kind of birch tree.
    -द a. liberal, generous.
    -दक्षिण a.
    1 attended with many gifts or donations.
    -2 liberal, munificent.
    -दर्शक, -दर्शिन् a. prudent, circumspect; कृत्येषु वाली मेधावी राजानो बहुदर्शिनः Rām.4.2.23.
    -दायिन् a. liberal, munificent, a liberal donor; Ch. Up.
    -दुग्ध a. yielding much milk. (
    -ग्धः) wheat. (
    -ग्धा) a cow yielding much milk.
    -दृश्वन् a. greatly experienced, a great observer.
    -दृष्ट a. very experienced.
    -दोष a.
    1 having many faults or defects, very wicked or sinful.
    -2 full of crimes of dangers; बहुदोषा हि शर्वरी Mk.1.58.
    -दोहना yielding much milk.
    -धन a. very rich, wealthy.
    -धारम् 1 the thunderbolt of Indra.
    -2 a diamond.
    -धेनुकम् a great number of milch-cows.
    -नाडिकः the body.
    -नाडीकः 1 day.
    -2 pillar; L. D. B.
    -नादः a conch-shell.
    -पत्नीकता polygamy.
    -पत्रः an onion. (
    -त्रम्) talc. (
    -त्री) the holy basil.
    -पद्, -पाद्, -पाद m. the fig-tree.
    -पुष्पः 1 the coral tree.
    -2 the Nimba tree.
    -पर्वन् m. (see -ग्रन्थिः).
    -प्रकार a. of many kinds, various, manifold. (
    -रम्) ind. in many ways, manifoldly.
    -प्रकृति a. consisting of many pri- mary parts or verbal elements (as a compound).
    -प्रज a. having many children, prolific.
    (-जः) 1 a hog.
    -2 the munja grass.
    -प्रज्ञ a. very wise.
    -प्रतिज्ञ a.
    1 comprising many statements or assertions, compli- cated.
    -2 (in law) involving many counts, as a plaint; बहुप्रतिज्ञं यत् कार्यं व्यवहारेषु निश्चितम् । कामं तदपि गृह्णीयाद् राजा तत्त्वबुभुत्सया Mitā.
    -प्रत्यर्थिक a. having many opponents.
    -प्रत्यवाय a. connected with many difficul- ties.
    -प्रद a. exceedingly liberal, a munificent donor.
    -प्रपञ्च a. very diffuse or prolix.
    -प्रसूः the mother of many children.
    -प्रेयसी a. having many loved ones.
    -फल a. rich in fruits. (
    -लः) the Kadamba tree. (
    -ली) the opposite-leaved fig-tree.
    -बलः a lion.
    -बीजम् the fruit of Anona Reticulata (Mar. सीताफल). (
    -जा) a kind of Musa (Mar. रानकेळ).
    -बोलक a. a great talker; Buddh.
    -भाग्य a. very lucky or fortunate.
    -भाषिन् a. garrulous, talkative.
    -भाष्यम् talkativeness, garrulity; उत्थानेन जयेत्तन्द्री वितर्कं निश्चयाज्जयेत् । मौनेन बहुभाष्यं च शौर्येण च भयं त्यजेत् ॥ Mb.12.274.11.
    -भुजा an epithet of Durgā.
    -भूमिक a. having many floors or stories.
    -भोग्या a prostitute.
    -भोजिन् a. voracious.
    -मञ्जरी the holy basil.
    -मत a.
    1 highly esteemed or prized, valued, respected; येषां च त्वं बहुमतो भूत्वा यास्यसि लाघवम् Bg.2.35.
    -2 having many different opinions.
    -मतिः f. great value or estimation; कान्तानां बहुमतिमाययुः पयोदाः Ki.7. 15.
    -मध्यग a. belonging to many; न निर्हारं स्त्रियः कुर्युः कुटुम्बाद्बहुमध्यगात् Ms.9.199.
    -मलम् lead.
    -मानः great respect or regard, high esteem; पुरुषबहुमानो विगलितः Bh.3.9; वर्तमानकवेः कालिदासस्य क्रियायां कथं परिषदो बहुमानः M.1; V.1.2; Ku.5.31. (
    -नम्) a gift given by a superior to an inferior.
    -मान्य a. respectable, esteem- able; Kull. on Ms.2.117.
    -माय a. artful, deceitful. treacherous; परदेशभयाद्भीता बहुमाया नपुंसकाः । स्वदेशे निधनं यान्ति Pt.1.321.
    -मार्गः a place where many roads meet.
    -मार्गगा 1 N. of the river Ganges; तद्युक्तं बहुमार्गगां मम पुरो निर्लज्ज वोढुस्तव Ratn.1.3.
    -2 a wanton or un- chaste woman.
    -मार्गी a place where several roads meet.
    -मुख a.
    1 much, excessive; अस्या भर्तुर्बहुमुखमनुरागम् Ś.6.
    -2 Speaking variously.
    -मूत्र a. suffering from diabetes.
    -मूर्ति a. multiform, variously shaped. (
    -र्तिः f.) the wild cotton-shrub.
    -मूर्धन् m. an epithet of Viṣṇu.
    -मूला Asparagus Racemosus (शतावरी).
    -मूल्य a. costly, high-priced. (
    -ल्यम्) a large sum of money, heavy or costly price.
    -मृग a. abounding in deer.
    -रजस् a. very dusty.
    -रत्न a. rich in jewels.
    -रस a. juicy, succulent. (
    -सः) sugar-cane.
    -राशि a. (in arith.) consisting of many terms. (
    -शिः) m. a series of many terms.
    -रूप a.
    1 many-formed, multiform, manifold.
    -2 variegated, spotted, chequered; वैश्वदेवं बहुरूपं हि राजन् Mb.14.1.3.
    (-पः) 1 a lizard, chameleon.
    -2 hair.
    -3 the sun.
    -4 N. of Śiva.
    -5 of Viṣṇu.
    -6 of Brahmā.
    -7 of the god of love.
    -रूपक a. multiform, manifold.
    -रेतस् m. an epithet of Brahmā.
    -रोमन् a. hairy. shaggy. (-m.) a sheep.
    -लवणम् a soil impregnated with salt.
    -वचनम् the plural number (in gram.); द्व्यैकयोर्द्विवचनैकवचने, बहुषु बहुवचनम्.
    -वर्ण a. many-coloured.
    -वादिन् a. garrulous.
    -वारम् ind. many times, often.
    -वारः, -वारकः Cordia Myxa (Mar. भोकर).
    -वार्षिक a. lasting for many years.
    -विक्रम a. very powerful, heroic, a great warrior.
    -विघ्न a. presenting many difficulties, attended with many dangers.
    -विध a. of many kinds, manifold, diverse.
    -वी(बी)जम् the custard apple.
    -वीर्य a. very powerful or efficacious. (
    -र्यः) N. of various plants (such as Terminalia Bel- lerica, Mar. बेहडा).
    -व्ययिन् a. lavish, prodigal, spendthrift.
    -व्यापिन् a. far-spreading, wide.
    -व्रीहि a. possessing much rice; तत्पुरुष कर्मधारय येनाहं स्यां बहुव्रीहिः Udb. (where it is also the name of the compound). (
    -हिः) one of the four principal kinds of compounds in Sanskrit. In it, two or more nouns in apposition to each other are compouded, the attributive member (whether a noun or an adjective) being placed first, and made to qualify another substantive, and neither of the two members separately, but the sense of the whole compound, qualifies that substantive; cf. अन्य- पदार्थप्रधानो बहुव्रीहिः. This compound is adjectival in character, but there are several instances of Bahuvrīhi compounds which have come to be regarded and used as nouns (their application being restricted by usage to particular individuals); i. e. चक्रपाणि, शशिशेखर, पीताम्बर, चतुर्मुख, त्रिनेत्र, कुसुमशर &c.
    -शत्रुः a sparrow.
    -शल्यः a species of Khadira.
    -शस्त a. very good, right or happy.
    -शाख a. having many branches or ramifica- tions.
    -शिख a. having many points.
    -शृङ्गः an epithet of Viṣṇu.
    -श्रुत a.
    1 well-informed, very learned तस्मिन् पुरवरे हृष्टा धर्मात्मानो बहुश्रुताः Rām. H.1.1; Pt.2. 1; R.15.36.
    -2 well-versed in the Vedas; गुरुं वा बाल- वृद्धौ वा ब्राह्मणं वा बहुश्रुतम् । आततायिनमायान्तं हन्यादेवाविचारयन् ॥ Ms.8.35. (
    -तिः) the occurrence of the plural in a text.
    -संख्याक a. numerous.
    -सत्त्व a. abounding in animals.
    -संतति a. having a numerous progeny. (
    -तिः) a kind of bamboo.
    -सार a. possessed of great pith or essence, substantial. (
    -रः) the Khadira tree.
    -साहस्र a. amounting to many thousands.
    -सूः 1 a mother of many children.
    -2 a cow.
    -सूतिः f.
    1 a mother of many children.
    -2 a cow that often calves.
    -स्वन a. vociferous. (
    -नः) an owl.
    -स्वामिक a. owned by many.

    Sanskrit-English dictionary > बहु _bahu

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