Перевод: со всех языков на все языки

со всех языков на все языки

I can't imagine what you're describing

  • 1 imaginar

    v.
    1 to imagine.
    imagino que te has enterado de la noticia I imagine o suppose you've heard the news
    no puedes imaginar cuánto me enfadé you can't imagine how angry I was
    2 to think up, to invent.
    3 to imagine to.
    * * *
    1 (gen) to imagine
    2 (pensar) to think, imagine
    ■ ¡imagina que todos estamos a su entera disposición! she thinks we're all at her beck and call!
    3 (idear) to devise, think up
    ■ imaginó una estrategia para despistar al vigilante he thought up a way to distract the guard's attention Table 1 NOTA The form imaginarse is also used in all senses, especially in colloquial speech /Table 1
    * * *
    verb
    * * *
    1. VT
    1) (=suponer) to imagine

    imagino que necesitaréis unas vacaciones — I imagine o suppose o guess * that you'll need a holiday

    imagina que tuvieras mucho dinero, ¿qué harías? — suppose o imagine that you had a lot of money - what would you do?

    2) (=visualizar) to imagine
    3) (=inventar) [+ plan, método] to think up
    2.
    See:
    * * *
    1.
    verbo transitivo
    a) (suponer, figurarse) to imagine
    c) ( idear) <plan/método> to think up, come up with
    2.
    imaginarse v pron
    a) (suponer, figurarse) to imagine

    me imagino que no querrá ir — I don't imagine o suppose he feels like going

    ¿sabes cuánto costó? - me imagino que un dineral — do you know how much it cost? - a fortune, I should imagine

    ¿quedó contento? - imagínate! — was he pleased? - what do you think!

    b) ( formar una imagen mental) to imagine
    * * *
    = envision, guess, imagine, visualise [visualize, -USA], dream, confabulate.
    Ex. Let me further specify the requirements of the catalog envisioned by the Paris Principles.
    Ex. Do not use your first name, last name, or initials as a password, since this information is easily guessed by an unauthorized person.
    Ex. I do not imagine, as a result, that public libraries will, for instance, begin establishing inappropriate and complex transliterated forms of names.
    Ex. Coates believed that in order to conceptualise an action it is necessary to visualise the thing on which the action is being performed.
    Ex. This has brought us nearer to UBC than anyone would have dreamed possible thirty years ago.
    Ex. His cognitive abilities were severely compromised, and he confabulated continuously and bizarrely.
    ----
    * hacer imaginar = conjure up + a vision of, conjure up + an image of.
    * imaginarse = picture.
    * imaginarse una situación = envision + situation.
    * * *
    1.
    verbo transitivo
    a) (suponer, figurarse) to imagine
    c) ( idear) <plan/método> to think up, come up with
    2.
    imaginarse v pron
    a) (suponer, figurarse) to imagine

    me imagino que no querrá ir — I don't imagine o suppose he feels like going

    ¿sabes cuánto costó? - me imagino que un dineral — do you know how much it cost? - a fortune, I should imagine

    ¿quedó contento? - imagínate! — was he pleased? - what do you think!

    b) ( formar una imagen mental) to imagine
    * * *
    = envision, guess, imagine, visualise [visualize, -USA], dream, confabulate.

    Ex: Let me further specify the requirements of the catalog envisioned by the Paris Principles.

    Ex: Do not use your first name, last name, or initials as a password, since this information is easily guessed by an unauthorized person.
    Ex: I do not imagine, as a result, that public libraries will, for instance, begin establishing inappropriate and complex transliterated forms of names.
    Ex: Coates believed that in order to conceptualise an action it is necessary to visualise the thing on which the action is being performed.
    Ex: This has brought us nearer to UBC than anyone would have dreamed possible thirty years ago.
    Ex: His cognitive abilities were severely compromised, and he confabulated continuously and bizarrely.
    * hacer imaginar = conjure up + a vision of, conjure up + an image of.
    * imaginarse = picture.
    * imaginarse una situación = envision + situation.

    * * *
    imaginar [A1 ]
    vt
    1 (suponer, figurarse) to imagine
    imagino que seguirás con la misma empresa I suppose o imagine o expect you're still with the same company
    no puede usted imaginar cuánto se lo agradezco you can't imagine how grateful I am to you
    trata de imaginarlo pintado de blanco try to imagine o picture it painted white
    3 (idear) ‹plan/método/solución› to think up, come up with
    1 (suponer, figurarse) to imagine
    me imagino que no le habrán quedado ganas de repetir la experiencia I don't imagine o suppose he feels like repeating the experience
    no me imagino qué puede haber estado haciendo allí I can't imagine o think what he could have been doing there
    no te puedes imaginar lo mal que nos trató you've no idea how badly she treated us
    nunca me hubiera imaginado que nos iba a traicionar I'd never have dreamed o imagined that he would betray us
    ¿sabes cuánto les costó? — me imagino que un dineral do you know how much it cost them? — a fortune, I should imagine o think
    ¿quedó contento? — ¡imagínate! was he happy? — what do you think!
    ¿habrá que moverlo de ahí? — me imagino que sí do you think we'll have to move it — I suppose so o I imagine so o it looks like it
    no sabes cómo me dolió — ¡me (lo) imagino! it was unbelievably painful — I can imagine! o ( colloq) I bet it was!
    ¿te la imaginas con diez kilos menos? can you imagine o picture her ten kilos lighter?
    me lo imaginaba más alto I imagined him to be taller, I thought he would be taller
    imagínatelo sin barba imagine how he'd look without a beard
    * * *

     

    imaginar ( conjugate imaginar) verbo transitivo
    a) (suponer, figurarse) See Also→


    b) ( idear) ‹plan/método› to think up, come up with

    imaginarse verbo pronominal
    to imagine;
    ◊ me imagino que no querrá ir I don't imagine o suppose he feels like going;

    no te puedes imaginar lo mal que nos trató you've no idea how badly she treated us;
    ¿quedó contento? — ¡imagínate! was he pleased? — what do you think!;
    me imagino que sí I suppose so;
    me lo imaginaba más alto I imagined he'd be taller
    imaginar verbo transitivo
    1 to imagine: intenté imaginar algo agradable, I tried to think of something pleasant
    2 (creer, suponer) to expect, assume: imagino que vendrán enseguida, I expect they'll be here soon

    ' imaginar' also found in these entries:
    Spanish:
    poner
    - saber
    - soñar
    - suponer
    - calcular
    - concebir
    - dónde
    English:
    see
    - think up
    - visualize
    - conceive
    - guess
    * * *
    ♦ vt
    1. [suponer] to imagine;
    imagino que te has enterado de la noticia I imagine o suppose you've heard the news;
    imagina por un momento que eres millonario imagine for a moment that you are a millionaire;
    no puedes imaginar cuánto me enfadé you can't imagine how angry I was;
    imagina que llega y no estamos preparados imagine what would happen if she arrived and we weren't ready
    2. [visualizar] to imagine, to picture;
    imagina un mundo más justo imagine a fairer world
    3. [idear] to think up, to invent
    * * *
    v/t imagine
    * * *
    : to imagine
    * * *
    imaginar vb to imagine
    ¡imagínate! just imagine!

    Spanish-English dictionary > imaginar

  • 2 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

  • 3 с жиру беситься

    прост., неодобр.
    suffer from excess of prosperity; be crazy out of boredom; play antics; cf. madness from overfeeding; fancies of a stuffed stomach

    - Вы... берёте каких-то великосветских господ и рассказываете, как они страдают от странных отношений. Тьфу мне на них! Знать я их не хочу! Если они и страдают - так с жиру, собаки, бесятся. (А. Писемский, Тысяча душ) — 'You write of gentry in high society, describing the sufferings arising from their strange relationships! What do I care about them? Don't tell me about them! If they do suffer it's simply from excess of prosperity, the curs!..'

    Не воображай, что кружится, звеня, расписная, вихревая, ироничная карусель и лишь тебе, бедной, недостало деревянной лакированной лошадки. Ты просто с жиру бесишься. Да, да, ты распустилась в тишине и нежности любящего человека и бесишься с жиру. (Ю. Нагибин, Берендеев лес) — Don't imagine that there's a gingerbread merry-go-round ringing, whirling in a kaleidoscope of colour, and that it's only poor old you who's missed getting onto one of those shiny wooden horses. The fancies of a stuffed stomach! That's right, you've let yourself go in tranquility, in the tenderness of a loving being and you're having freakish whines.

    - Жить бы да жить вам, молодым... а вас... как этих... как угорелых по свету носит, места себе не можете найти. Голод тебя великий воровать толкнул? С жиру беситесь, окаянные... (В. Шукшин, Охота жить) — 'You could have a grand life, you young people. But you're like crazy dogs, chasing all over the world, can't find a place for yourselves. Were you so desperately hungry you had to go stealing? This madness is from overfeeding, that it is.'

    - Делать людям нечего, с жиру и бесятся. Вот повкалывали бы на солнцепёке с наше, на клубнике, от зари до зари, потаскали бы её на базар, дурь в голову бы и не полезла. (П. Проскурин, Полуденные сны) — 'People have nothing to do, so they go crazy out of boredom. Now if they tried working like us, in the blazing sun, picking strawberries, from dawn till dusk, and then hauled it to the market, they wouldn't have the energy for nonsense.'

    Русско-английский фразеологический словарь > с жиру беситься

См. также в других словарях:

  • You're with me, leather — [cite news url=http://deadspin.com/sports/chris berman/he could go all the way 166410.php title=He ... Could ... Go ... All ... The ... Way! publisher=Deadspin date=2006 04 11 accessdate=2006 07 24] You re with me, , with other words or phrases… …   Wikipedia

  • I'm with You (album) — I m with You Studio album by Red Hot Chili Peppers Released August 2 …   Wikipedia

  • Mongrel (The Number Twelve Looks Like You album) — Mongrel Studio album by The Number Twelve Looks Like You Released June 19, 2007 …   Wikipedia

  • Hume on human understanding — David Hume on human understanding Anne Jaap Jacobson David Hume’s A Treatise of Human Nature1 was published before he was 30 years old. It is often said to be the greatest philosophical work written in English. Bold and ambitious, it is designed… …   History of philosophy

  • The Dark Knight (film) — The Dark Knight Theatrical release poster …   Wikipedia

  • Chabad-Lubavitch related controversies — This article examines controversial issues involving the Chabad Lubavitch movement. For a more complete examination of Chabad, see the main article. Part of a series on Chabad …   Wikipedia

  • The Risky Business — Infobox Television episode Colour = #ffaa44 Series = The O.C. Title = The Risky Business Season = (2004 2005) Caption = Sandy, Marissa and Summer at the auction Episode = 18 Airdate = April 7, 2005 (FOX) Writer = Cory Martin Director = Norman… …   Wikipedia

  • literature — /lit euhr euh cheuhr, choor , li treuh /, n. 1. writings in which expression and form, in connection with ideas of permanent and universal interest, are characteristic or essential features, as poetry, novels, history, biography, and essays. 2.… …   Universalium

  • Corset controversy — The corset controversy is an ensemble of letters and articles concerning the corset that appeared in newspapers and periodicals in the 19th century. Contents 1 Introduction …   Wikipedia

  • ethics — /eth iks/, n.pl. 1. (used with a sing. or pl. v.) a system of moral principles: the ethics of a culture. 2. the rules of conduct recognized in respect to a particular class of human actions or a particular group, culture, etc.: medical ethics;… …   Universalium

  • Wikipedia:Featured article candidates — Here, we determine which articles are to be featured articles (FAs). FAs exemplify Wikipedia s very best work and satisfy the FA criteria. All editors are welcome to review nominations; please see the review FAQ. Before nominating an article,… …   Wikipedia

Поделиться ссылкой на выделенное

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