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1 have the expertise
Безопасность: иметь экспертный потенциал (англ. оборот взят из новостного сообщения агентства Bloomberg) -
2 expertise
expertise [‚ekspəˈti:z]* * *[ˌekspɜː'tiːz]noun compétences fpl; ( very specialized) expertise f (in dans le domaine de) -
3 expertise
владение проблемой, высокий экспертный уровень, экспертный потенциалWe have the expertise to deal with this issue. — У нас есть специалисты в этой области.
Организация должна обладать экспертным потенциалом для того, чтобы предлагать идеи и находить конструктивные механизмы для сотрудничества (интервью на сайте smi.ru). — The organization should have the expertise to offer ideas and find constructive mechanisms for cooperation.
The English annotation is below. (English-Russian) > expertise
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4 expertise
[ˌekspɜː'tiːz]1) competenza f., perizia f.2) dir. autenticazione f.* * *[ˌekspɜː'tiːz]1) competenza f., perizia f.2) dir. autenticazione f. -
5 expertise
n. стручност, компетентност, компетенција, знаење, познавање (in во/од); have the expertise to do sth стручен/компетентен е да (на)прави нешто; do sth with (great) expertise прави нешто со (голема) стручност -
6 expertise
expertise n compétences fpl ; ( very specialized) expertise f (in dans le domaine de) ; expertise in compétence f dans le domaine de [subject] ; French expertise in telecommunications l'expertise française dans le domaine des télécommunications ; his expertise as a builder sa compétence dans le domaine du bâtiment ; to have/lack the expertise to do avoir/ne pas avoir les compétences requises pour faire. -
7 expertise
ˌekspə:ˈti:z франц.;
сущ.
1) экспертиза;
экспертная оценка technical expertise ≈ техническая экспертиза Syn: expert's appraisal
2) человеческий опыт, знание дела;
квалификация, компетентность, компетенция (in) A doctor would have liked to give a ready diagnosis of this abnormal condition, but his expertise was not equal to the task. ≈ Доктор хотел бы поставить правильный диагноз такого ненормального состояния, но для этой задачи его квалификация была недостаточна.
3) искусство, мастерство, умение;
ловкость, сноровка Syn: skill специальные знания;
компетентность;
эрудиция( в какой-л. области) экспертиза, заключение специалистов ловкость, искусность - a clever piece of * ловкий ход design ~ опыт проектирования expertise заключение специалистов ~ фр. знания и опыт (в данной специальности) ;
компетенция, знание дела ~ компетентность ~ специальные знания ~ экспертиза, заключение специалистов ~ экспертиза ~ фр. экспертиза human ~ человеческий опытБольшой англо-русский и русско-английский словарь > expertise
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8 expertise
1. [ˌekspɜː'tiːz], [-spə-] сущ.1) экспертиза; экспертная оценкаSyn:2) человеческий опыт, знание дела; квалификация, компетентность, компетенцияA doctor would have liked to give a ready diagnosis of this abnormal condition, but his expertise was not equal to the task. — Доктор хотел бы поставить правильный диагноз такого ненормального состояния, но для этой задачи его квалификация была недостаточна.
3) искусство, мастерство, умение; ловкость, сноровкаSyn:2. [ˌekspɜː'taɪz], [-spə-] брит.; = expertize -
9 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, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany 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 FormThe 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 FormationIt 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 ContextsEven 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)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 IntelligenceThe 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 PropositionsIn 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
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10 edge
1. noun1) (of knife, razor, weapon) Schneide, diethe knife has lost its edge — das Messer ist stumpf geworden od. ist nicht mehr scharf
take the edge off something — etwas stumpf machen; (fig.) etwas abschwächen
that took the edge off our hunger — das nahm uns erst einmal den Hunger
be on edge [about something] — [wegen etwas] nervös od. gereizt sein
set somebody's teeth on edge — jemandem durch Mark und Bein gehen
have the edge [on somebody/something] — (coll.) jemandem/einer Sache überlegen od. (ugs.) über sein
edge of a table — Tischkante, die
3) (boundary) (of sheet of paper, road, forest, desert, cliff) Rand, der; (of sea, lake, river) Ufer, das; (of estate) Grenze, dieedge of the paper/road — Papier-/Straßenrand, der
2. intransitive verbon the edge of something — (fig.) am Rande einer Sache (Gen.)
(move cautiously) sich schiebenedge along something — sich an etwas (Dat.) entlangschieben
edge away from somebody/something — sich allmählich von jemandem/etwas entfernen
3. transitive verbedge out of the room — sich aus dem Zimmer stehlen
1) (furnish with border) säumen [Straße, Platz]; besetzen [Kleid, Hut]; einfassen [Garten, Straße]2) (push gradually) [langsam] schiebenedge one's way through a crowd — sich [langsam] durch eine Menschenmenge schieben od. drängen
* * *[e‹] 1. noun1) (the part farthest from the middle of something; a border: Don't put that cup so near the edge of the table - it will fall off; the edge of the lake; the water's edge.) der Rand2) (the cutting side of something sharp, eg a knife or weapon: the edge of the sword.) die Schneide3) (keenness; sharpness: The chocolate took the edge off his hunger.) die Schärfe2. verb1) (to form a border to: a handkerchief edged with lace.) umsäumen2) (to move or push little by little: He edged his chair nearer to her; She edged her way through the crowd.) schieben•- academic.ru/23375/edging">edging- edgy
- edgily
- edginess
- have the edge on/over
- on edge* * *[eʤ]I. nat the \edge of the road am Straßenrand [o SCHWEIZ a. Strassenbord]the \edge of the table die Tischkanteto be on the \edge of collapse/a catastrophe am Rande des Zusammenbruchs/einer Katastrophe stehenrounded/sharp \edge abgerundete/scharfe Kanteto put an \edge on sth etw schärfen [o schleifen]to take the \edge off sth etw stumpf machenhis apology took the \edge off her anger seine Entschuldigung besänftigte ihren Ärgerthere's an \edge to her voice sie schlägt einen scharfen Ton anto take the \edge off sb's appetite jdm den Appetit nehmen5. (nervousness)to be on \edge nervös [o gereizt] seinher nerves are on \edge sie ist nervös6. (superiority)▪ the \edge Überlegenheit fto have the \edge over sb jdm überlegen sein, jdm gegenüber im Vorteil sein\edge in expertise Know-How-Vorteil m7.▶ to live on the \edge ein extremes [o exzentrisches] Leben führenII. vtto \edge one's way forward sich akk langsam vorwärtsbewegen* * *[edZ]1. n1) (of knife, razor) Schneide fto take the edge off sth ( fig, sensation ) — etw der Wirkung (gen) berauben; pain etw lindern
his arrogance sets my teeth on edge — seine Arroganz bringt mich auf die Palme (inf)
my nerves are on edge — ich bin schrecklich nervös
to have the edge on sb/sth — jdm/etw überlegen sein
but the professional had the edge — aber der Profi war eben besser
it gives her/it that extra edge — darin besteht eben der kleine Unterschied
2) (= outer limit) Rand m; (of brick, cube) Kante f; (of lake, river) Ufer nt, Rand m; (of sea) Ufer nt; (of estates etc) Grenze fa book with gilt edges — ein Buch mit Goldschnitt
rough edges (fig) — kleine Mängel pl
2. vt1) (= put a border on) besetzen, einfassen2) (= sharpen) tool, blade schärfen, schleifen, scharf machen3)to edge one's way toward(s) sth (slowly) — sich allmählich auf etw (acc) zubewegen; (carefully) sich vorsichtig auf etw (acc) zubewegen
3. visich schiebento edge away from sb/sth — sich allmählich immer weiter von jdm/etw entfernen
he edged past me — er drückte or schob sich an mir vorbei
* * *edge [edʒ]A s1. a) Schneide fb) Schärfe f:the knife has no edge das Messer ist stumpf oder schneidet nicht;take ( oder blunt) the edge off eine Klinge stumpf machen, fig einer Sache die Spitze oder Schärfe oder Wirkung nehmen, etwas abschwächen oder entschärfen;put an edge on sth etwas schärfen oder schleifen;he had an edge to his voice, his voice had an edge to it seine Stimme klang nervös oder gereizt;give sb the (sharp) edge of one’s tongue umg jemanden zusammenstauchen2. fig Schärfe f, Spitze f:a) etwas verschärfen,b) etwas in Schwung bringen;not put too fine an edge (up)on it kein Blatt vor den Mund nehmen3. Ecke f, scharfe Kante, (Berg)Grat m4. (äußerster) Rand, Saum m:edge of the woods Waldrand;be on the edge of despair fig am Rande der Verzweiflung sein;be on the edge of doing sth kurz davor stehen oder im Begriff sein, etwas zu tun5. Grenze f, Grenzlinie f6. Kante f, Schmalseite f:the edge of the table die Tischkante;set (up) on edge hochkant stellen;on edge fig nervös; gereizt;set sb’s teeth on edgea) jemanden nervös oder umg kribb(e)lig machen,b) jemandem durch Mark und Bein gehen;catch an edge (Skilauf) verkanten8. umg Vorteil m:give sb an edge jemandem einen Vorteil verschaffen;have the edge on sb einen Vorteil gegenüber jemandem haben, jemandem über sein9. Eiskunstlauf: (Einwärts-, Auswärts) Bogen mB v/t1. schärfen, schleifen2. umsäumen, umranden, begrenzen, einfassen3. TECHa) beschneiden, abkantenb) Blech bördeln5. die Ski kantenedge sb into second place jemanden knapp auf den zweiten Platz verweisen* * *1. noun1) (of knife, razor, weapon) Schneide, diethe knife has lost its edge — das Messer ist stumpf geworden od. ist nicht mehr scharf
take the edge off something — etwas stumpf machen; (fig.) etwas abschwächen
be on edge [about something] — [wegen etwas] nervös od. gereizt sein
have the edge [on somebody/something] — (coll.) jemandem/einer Sache überlegen od. (ugs.) über sein
edge of a table — Tischkante, die
3) (boundary) (of sheet of paper, road, forest, desert, cliff) Rand, der; (of sea, lake, river) Ufer, das; (of estate) Grenze, dieedge of the paper/road — Papier-/Straßenrand, der
2. intransitive verbon the edge of something — (fig.) am Rande einer Sache (Gen.)
(move cautiously) sich schiebenedge along something — sich an etwas (Dat.) entlangschieben
3. transitive verbedge away from somebody/something — sich allmählich von jemandem/etwas entfernen
1) (furnish with border) säumen [Straße, Platz]; besetzen [Kleid, Hut]; einfassen [Garten, Straße]2) (push gradually) [langsam] schiebenedge one's way through a crowd — sich [langsam] durch eine Menschenmenge schieben od. drängen
* * *n.Ecke -n f.Grat -e m.Kante -n f.Rahmen - m.Rand ¨-er m.Saum Säume m.Schneide -n f.Schärfe -n f.Vorteil -e m.Zacke -n f. (on) v.antreiben v.drängen v.schieben v.(§ p.,pp.: schob, geschoben) v.einfassen v.schärfen v.säumen v.umsäumen v. -
11 UEFA-Spielbeauftragter
■ Person, die jünger als 70 Jahre alt sein muss, die für ein UEFA-Spiel von der UEFA-Administration bezeichnet wird, um eine spezifische Funktion auszuüben, die Erfahrung und Fachwissen in ihrem entsprechenden Bereich mitbringt, eine der offiziellen UEFA-Sprachen beherrscht und weitere vom UEFA-Generalsekretär festgelegten Anforderungen erfüllt.► Die UEFA-Spielbeauftragten sind: der UEFA-Spieldelegierte, der Schiedsrichterbeobachter, der Stadion- und Sicherheitsverantwortliche, der Dopingkontrolleur, der Spielortverantwortliche, der Turnieradministrator und der UEFA-Medienverantwortliche. Von den UEFA-Spielbeauftragten wird erwartet, dass sie zusammenarbeiten.UEFA match officer UEFA■ A person appointed for a UEFA match by the UEFA administration to carry out a specific duty, who must be under 70 years of age, have specific expertise and know-how in a field, have good knowledge of one of UEFA's official languages, and fulfil the other requirements defined by the UEFA general secretary.► The UEFA match officers are: the UEFA match delegate, the referee observer, the stadium and security officer, the doping control officer, the venue director, the tournament administrator and the UEFA media officer. All UEFA match officers are expected to cooperate with each other. -
12 provide
transitive verb1) (supply) besorgen; sorgen für; liefern [Beweis]; bereitstellen [Dienst, Geld]instructions are provided with every machine — mit jeder Maschine wird eine Anleitung mitgeliefert
provide homes/materials/a car for somebody — jemandem Unterkünfte/Materialien/ein Auto [zur Verfügung] stellen
provide somebody with money — jemanden unterhalten; (for journey etc.) jemandem Geld zur Verfügung stellen
be [well] provided with something — mit etwas [wohl]versorgt od. [wohl]versehen sein
provide oneself with something — sich (Dat.) etwas besorgen
2) (stipulate) [Vertrag, Gesetz:] vorsehen3)providing that — see academic.ru/58617/provided">provided
Phrasal Verbs:- provide for* * *1) (to give or supply: He provided the wine for the meal; He provided them with a bed for the night.) be-, versorgen2) ((with for) to have enough money to supply what is necessary: He is unable to provide for his family.) sorgen•- provided- providing* * *pro·vide[prə(ʊ)ˈvaɪd, AM prəˈ-]I. vt▪ to \provide sth etw zur Verfügung stellen [o bereitstellen]we will not be able to \provide the same standard of teaching if there are funding cuts wir werden dieses Unterrichtsniveau nicht aufrechterhalten können, wenn der Etat gekürzt wirdto \provide employment Arbeitsplätze schaffento \provide evidence/an explanation Beweise/eine Erklärung liefernto \provide information about sb/sth Informationen über jdn/etw gebento \provide inspiration inspirierento \provide proof einen Nachweis erbringento \provide a thrill für Nervenkitzel sorgen▪ to \provide sb/sth with sth [or sth for sb/sth] (supply) jdn/etw mit etw dat versorgen; (offer) jdm/etw etw bieten [o geben]by being late he \provided ammunition for his boss to use against him durch sein Zuspätkommen lieferte er seinem Chef Material, das dieser gegen ihn verwenden konnteto \provide a reference for sb jdm eine Referenz gebento \provide sanctuary/shelter for sb/sth jdm/etw Zuflucht/Schutz bietento \provide treatment for sb/sth jdn/etw behandelnII. vi2. (look after)▪ to \provide for sb/oneself für jdn/sich selbst sorgencurrent legislation \provides for the detention of suspects die gegenwärtige Gesetzgebung erlaubt die Inhaftierung von Verdächtigen▪ to \provide that... festlegen [o bestimmen] [o vorsehen], dass...section 17 \provides that all decisions must be circulated in writing Artikel 17 schreibt vor, dass alle Entscheidungen schriftlich weitergeleitet werden müssen* * *[prə'vaɪd]1. vt1) (= make available) zur Verfügung stellen; (agency) personnel vermitteln; money bereitstellen; (= lay on, as part of service) chairs, materials, food etc (zur Verfügung) stellen; (= see to, bring along) food, records etc sorgen für; (= produce, give) ideas, specialist knowledge, electricity liefern; light, shade spenden, geben; privacy sorgen für, schaffen; topic of conversation sorgen für, liefern2)to provide food and clothes for one's family —
it provides a certain amount of privacy/shade for the inhabitants — es gibt den Bewohnern eine gewisse Abgeschlossenheit/etwas Schatten
they provide a restroom/bus for their workers — sie stellen einen Ruheraum/Bus für ihre Arbeiter
3)to provide sb with sth (with food, clothing etc) — jdn mit etw versorgen
the job provided him with a good salary/with the necessary experience — die Stelle verschaffte ihm genug Geld/die nötige Erfahrung
this provided the school with enough money to build a gymnasium — dadurch hatte die Schule genügend Geld zur Verfügung, um eine Turnhalle zu bauen
4) (= stipulate clause, agreement) vorsehenSee:2. via husband who provides well — ein Ehemann, der gut für seine Familie/Frau sorgt
3. vrto provide oneself with a good excuse — sich (dat) eine gute Entschuldigung zurechtlegen
* * *provide [prəˈvaıd]A v/t1. versorgen, ausstatten, beliefern ( alle:with mit):the car is provided with a radio der Wagen hat ein Radio oder ist mit einem Radio ausgestattet;provided with illustrations illustriert, mit Illustrationen (versehen)2. ver-, beschaffen, besorgen, liefern, zur Verfügung stellen, (bereit)stellen:he provides maintenance for them er sorgt für ihren Unterhalt;provide payment WIRTSCH Deckung anschaffen, für Zahlung sorgen;provide an opportunity eine Gelegenheit schaffen oder bieten3. JURa) vorsehen, -schreiben, bestimmen ( alle:that dass) (Gesetz, Vertrag etc)b) den Vorbehalt machen ( that dass):B v/iagainst vor dat, gegen):a) (sich) schützen vor (dat),b) etwas unmöglich machen, verhindern;provide for the future für die Zukunft vorsorgen2. provide fora) für jemanden od jemandes Lebensunterhalt sorgen:she has three children to provide for sie hat drei Kinder zu versorgenb) Maßnahmen vorsehend) Gelder etc bereitstellen* * *transitive verb1) (supply) besorgen; sorgen für; liefern [Beweis]; bereitstellen [Dienst, Geld]provide homes/materials/a car for somebody — jemandem Unterkünfte/Materialien/ein Auto [zur Verfügung] stellen
provide somebody with money — jemanden unterhalten; (for journey etc.) jemandem Geld zur Verfügung stellen
be [well] provided with something — mit etwas [wohl]versorgt od. [wohl]versehen sein
provide oneself with something — sich (Dat.) etwas besorgen
2) (stipulate) [Vertrag, Gesetz:] vorsehen3)Phrasal Verbs:* * *(for) v.sorgen (für) v.versorgen v. (with) v.versorgen (mit) v. v.anbieten v.beliefern v.bereitstellen v.beschaffen v.besorgen v.bieten v.(§ p.,pp.: bot, geboten)liefern v.unterstützen v.verschaffen v.versehen v.versorgen v.vorsehen v.zur Verfügung stellen ausdr. -
13 UEFA-Expertenausschuss
■ Gremium, das sich aus Personen zusammensetzt, die Erfahrung und Fachwissen im betreffenden Bereich mitbringen, und das das UEFA-Exekutivkomitee, der UEFA-Präsident oder der UEFA-Generalsekretär bei Bedarf für besondere Aufgaben für die Dauer von zwei Jahren einsetzen kann.► UEFA-Expertenausschüsse haben Beratungsfunktion, es sei denn, es werden ihnen Entscheidungsbefugnisse übertragen. Ein UEFA-Expertenausschuss setzt sich aus einem Vorsitzenden, einem Vizevorsitzenden und der für das reibungslose Funktionieren des jeweiligen Ausschusses als notwendig erachteten Anzahl ordentlicher Mitglieder zusammen. UEFA-Expertenausschüsse sind: Ausschuss der Verwaltungsexperten, Ausschuss für Kunstrasen, Ausschuss für Stadionbau und -management, Ausschuss für Breitenfußball, Jira-Ausschuss, Ausschuss für die Zertifizierung im Schiedsrichterwesen, Ausschuss für die Richtlinien im Schiedsrichterwesen, Ausschuss für Topschiedsrichter, Schiedsrichter-Beratungsausschuss, Antidoping-Ausschuss.UEFA expert panel UEFA■ A group of people who have specific expertise and know-how in a field, appointed if necessary by the UEFA Executive Committee, the UEFA president or the UEFA general secretary for a duration of two years in order to carry out special duties related to that specific field.► A UEFA expert panel has an advisory function, unless the UEFA Organisational Regulations or any other regulations adopted by the UEFA Executive Committee grant it decision-making powers. A UEFA expert panel is composed of a chairman, vice-chairman and the number of ordinary members deemed necessary for the panel to function properly. The UEFA expert panels are: Administrative Experts Panel, Artificial Turf Panel, Stadium Construction and Management Panel, Grassroots Football Panel, Jira Panel, Refereeing Certification Panel, Refereeing Guidelines Panel, Top Referees Panel, Referees Consultative Panel, Anti-Doping Panel. -
14 Bibliography
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(1997a). Cognitive science and the symbolic operations of human and artificial intelligence: Theory and research into the intellective processes. Westport, CT: Praeger.■ Wagman, M. (1997b). The general unified theory of intelligence: Central conceptions and specific application to domains of cognitive science. Westport, CT: Praeger.■ Wagman, M. (1998a). Cognitive science and the mind- body problem: From philosophy to psychology to artificial intelligence to imaging of the brain. Westport, CT: Praeger.■ Wagman, M. (1998b). Language and thought in humans and computers: Theory and research in psychology, artificial intelligence, and neural science. Westport, CT: Praeger.■ Wagman, M. (1998c). The ultimate objectives of artificial intelligence: Theoretical and research foundations, philosophical and psychological implications. Westport, CT: Praeger.■ Wagman, M. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. Westport, CT: Praeger.■ Wagman, M. (2000). Scientific discovery processes in humans and computers: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wall, R. (1972). Introduction to mathematical linguistics. Englewood Cliffs, NJ: Prentice-Hall.■ Wallas, G. (1926). The Art of Thought. New York: Harcourt, Brace & Co.■ Wason, P. (1977). Self contradictions. In P. Johnson-Laird & P. Wason (Eds.), Thinking: Readings in cognitive science. Cambridge: Cambridge University Press.■ Wason, P. C., & P. N. Johnson-Laird. (1972). Psychology of reasoning: Structure and content. Cambridge, MA: Harvard University Press.■ Watson, J. (1930). Behaviorism. New York: W. W. Norton.■ Watzlawick, P. (1984). Epilogue. In P. Watzlawick (Ed.), The invented reality. New York: W. W. Norton, 1984.■ Weinberg, S. (1977). The first three minutes: A modern view of the origin of the uni verse. New York: Basic Books.■ Weisberg, R. W. (1986). Creativity: Genius and other myths. 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Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
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15 survey
∎ we sat surveying the view nous étions assis à contempler le paysage;∎ he stepped back to survey the painting il fit un pas en arrière pour contempler le tableau(b) (make a study of) dresser le bilan de, étudier;∎ the report surveys the current state of manufacturing industry in Britain le rapport dresse le bilan de l'industrie manufacturière en Grande-Bretagne∎ 65 percent of women surveyed were opposed to the measure 65 pour cent des femmes interrogées étaient contre cette mesure∎ always have a house independently surveyed before buying il faut toujours faire faire une expertise indépendante avant d'acheter une maison(a) (study, investigation) étude f, enquête f;∎ they carried out a survey of retail prices ils ont fait une enquête sur les prix au détail(b) (overview) vue f d'ensemble;∎ the exhibition offers a comprehensive survey of contemporary British art l'exposition présente une vision d'ensemble de l'art contemporain britannique∎ aerial survey levé m aérien∎ to have a survey done faire faire une expertise►► Marketing survey research recherche f par sondage -
16 value
I ['væljuː]1) (monetary worth) valore m., prezzo m.2) (usefulness, general worth) valore m.to have o be of educational value avere un valore educativo; the value of sb. as il valore di qcn. come; the value of doing l'importanza di fare; sales were successful thanks to its novelty value — le vendite sono state ottime grazie alla sua originalità
4) (standards, ideals) valore m., principio m.5) mat. mus. valore m.II ['væljuː]1) (assess worth of) valutare [house, asset, company]; periziare, fare un'expertise a [antique, jewel, painting]to have sth. valued — fare valutare qcs.
to value sth. at Ј 150 — valutare qcs. 150 sterline
2) (appreciate) stimare [ person]; apprezzare [friendship, help]; tenere in considerazione [ opinion]; tenere a [reputation, independence, life]to value sb. as a friend — tenere all'amicizia di qcn
* * *['vælju:] 1. noun1) (worth, importance or usefulness: His special knowledge was of great value during the war; She sets little value on wealth.) valore2) (price: What is the value of that stamp?) valore3) (purchasing power: Are those coins of any value?) valore4) (fairness of exchange (for one's money etc): You get good value for money at this supermarket!) (spendere bene)5) (the length of a musical note.) valore, lunghezza2. verb1) (to suggest a suitable price for: This painting has been valued at $50,000.) valutare2) (to regard as good or important: He values your advice very highly.) apprezzare•- valuable- valuables
- valued
- valueless
- values
- value-added tax* * *I ['væljuː]1) (monetary worth) valore m., prezzo m.2) (usefulness, general worth) valore m.to have o be of educational value avere un valore educativo; the value of sb. as il valore di qcn. come; the value of doing l'importanza di fare; sales were successful thanks to its novelty value — le vendite sono state ottime grazie alla sua originalità
4) (standards, ideals) valore m., principio m.5) mat. mus. valore m.II ['væljuː]1) (assess worth of) valutare [house, asset, company]; periziare, fare un'expertise a [antique, jewel, painting]to have sth. valued — fare valutare qcs.
to value sth. at Ј 150 — valutare qcs. 150 sterline
2) (appreciate) stimare [ person]; apprezzare [friendship, help]; tenere in considerazione [ opinion]; tenere a [reputation, independence, life]to value sb. as a friend — tenere all'amicizia di qcn
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17 experience
I [ɪk'spɪərɪəns]1) (expertise) esperienza f.to have experience (in working) with computers — avere pratica o dimestichezza (nel lavorare) con i computer
2) (incident) esperienza f.II [ɪk'spɪərɪəns]verbo transitivo vivere, sperimentare [ change]; patire, subire [ loss]; incontrare [ problem]; provare [emotion, sensation]* * *[ik'spiəriəns] 1. noun1) ((knowledge, skill or wisdom gained through) practice in some activity, or the doing of something: Learn by experience - don't make the same mistake again; Has she had experience in teaching?) esperienza2) (an event that affects or involves a person etc: The earthquake was a terrible experience.) esperienza2. verb(to have experience of; to feel: I have never before experienced such rudeness!) provato* * *I [ɪk'spɪərɪəns]1) (expertise) esperienza f.to have experience (in working) with computers — avere pratica o dimestichezza (nel lavorare) con i computer
2) (incident) esperienza f.II [ɪk'spɪərɪəns]verbo transitivo vivere, sperimentare [ change]; patire, subire [ loss]; incontrare [ problem]; provare [emotion, sensation] -
18 mastery
noun ((usually with over or of) control, great skill or knowledge: We have gained mastery over the enemy.) dominiotr['mɑːstərɪ]1 (power, control) dominio (of/over, de), autoridad nombre femenino; (supremacy) supremacía, superioridad nombre femenino2 (skill, expertise) maestría, dominio (of, de)mastery ['mæstəri] n1) dominion: dominio m, autoridad f2) superiority: superioridad f3) expertise: maestría fn.• autoridad s.f.• dominio s.m.• habilidad s.f.• maestría s.f.• posesión s.f.• ufanía s.f.'mæstəri, 'mɑːstərimass nouna) (expertise, skill) maestría f; (of language, technique) dominio mb) ( control) dominio m['mɑːstǝrɪ]N1) (=understanding) [of subject, technique] dominio m2) (=skill) maestría fto gain the mastery of — (=dominate) llegar a dominar; (=take over) hacerse el señor de
* * *['mæstəri, 'mɑːstəri]mass nouna) (expertise, skill) maestría f; (of language, technique) dominio mb) ( control) dominio m -
19 valuation
[ˌvæljʊ'eɪʃn]nome (of house, land, company) valutazione f., stima f.; (of antique, art) expertise f., perizia f.to have a valuation done on sth. — fare valutare qcs.
* * *valuation /væljʊˈeɪʃn/n. [uc]1 valutazione; apprezzamento; (comm.) perizia, stima: the valuation of land, la valutazione dei terreni; (ass.) the valuation of a risk, la valutazione di un rischio; the valuation of an estate, la stima di una proprietà; to obtain a valuation, far fare una stima4 ( per estens.) valore: He sets too high a valuation on his abilities, attribuisce un valore eccessivo alle sue capacità● (dog.) the valuation for customs purposes, la fissazione del valore ( della merce) in dogana.* * *[ˌvæljʊ'eɪʃn]nome (of house, land, company) valutazione f., stima f.; (of antique, art) expertise f., perizia f.to have a valuation done on sth. — fare valutare qcs.
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20 know
know [nəʊ]━━━━━━━━━━━━━━━━━4. noun5. compounds━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━a. ( = have knowledge of) connaître• to know the results/the truth connaître les résultats/la vérité• I know the problem! je connais le problème !━━━━━━━━━━━━━━━━━► savoir can often also be used.━━━━━━━━━━━━━━━━━• to know the difference between connaître or savoir la différence entre━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━b. ( = be acquainted with) [+ person, place] connaître• do you know Paris? connaissez-vous Paris ?c. ( = recognize) reconnaître• I know real expertise when I see it! je sais reconnaître un spécialiste quand j'en vois un !d. ( = be certain) I don't know that it's made things any easier je ne suis pas sûr que ça ait simplifié les choses• (do) you know what, I think she did it! (inf) tu sais quoi (inf), je pense que c'est elle qui a fait ça !• she's furious! -- don't I know it! (inf) elle est furieuse ! -- à qui le dis-tu !• who knows? qui sait ?• is she nice? -- I wouldn't know (inf) est-ce qu'elle est gentille ? -- je ne sais pas• how should I know? comment veux-tu que je sache ?► to know sth about sth/sb• to know a lot about sth/sb en savoir long sur qch/qn• I know nothing about it je ne sais rien à ce sujet► to know about sth/sb• do you know about Paul? tu es au courant pour Paul ?• so you're satisfied? -- I don't know about that alors tu es satisfait ? -- pas vraiment• I'm not going to school tomorrow -- I don't know about that! (inf) je ne vais pas à l'école demain -- c'est ce qu'on va voir !► to know of ( = be acquainted with) connaître ; ( = be aware of) savoir ; ( = learn about) apprendre ; ( = have heard of) avoir entendu parler de• do you know of a good hairdresser? connaissez-vous un bon coiffeur ?• is he married? -- not that I know of il est marié ? -- pas que je sache• I know of you through your sister j'ai entendu parler de vous par votre sœur► to know sb/sth from sb/sth ( = distinguish) savoir faire la différence entre qn/qch et qn/qch• he doesn't know good wine from cheap plonk (inf) il ne sait pas faire la différence entre un bon vin et une piquette (inf)► to know sb/sth + infinitive• well, it has been known to happen enfin, ça c'est déjà vu► to know better• he says he didn't do it but I know better il dit qu'il ne l'a pas fait mais je ne suis pas dupe► to know best• well, you know best! c'est toi qui sais !• mother knows best! maman a toujours raison !► to get to know [+ person] faire plus ample connaissance avec• I'd like to get to know you better j'aimerais faire plus ample connaissance avec vous► to let sb know• if you can't come, please let me know préviens-moi si tu ne peux pas venir► to let sb know sth dire qch à qn• let me know if I can help si je peux me rendre utile, dites-le-moi4. noun5. compounds* * *[nəʊ] 1.1) ( have knowledge of) connaître [person, place, name, opinion, result, value, rules, situation, system, way]; savoir, connaître [answer, language, reason, truth, words]to know somebody by name/sight — connaître quelqu'un de nom/vue
to know something by heart — savoir or connaître quelque chose par cœur
to know how to do — savoir faire; ( stressing method) savoir comment faire
to know that... — savoir que...
to know for certain ou for sure that — savoir avec certitude que
I wasn't to know that... — je ne pouvais pas savoir que...
to know somebody/something as — connaître quelqu'un/quelque chose sous le nom de
to let it be known ou to make it known that — faire savoir que
to have known somebody/something to do — avoir déjà vu quelqu'un/quelque chose faire
(do) you know something? —
2) ( feel certain) être sûr3) ( realize) se rendre compte5) ( acknowledge)to be known for something/for doing — être connu pour quelque chose/pour faire
6) ( experience) connaître2.1) ( have knowledge) savoirto know about — ( have information) être au courant de [event]; ( have skill) s'y connaître en [computing, engines]
to know of — ( from experience) connaître; ( from information) avoir entendu parler de
to let somebody know of ou about — tenir quelqu'un au courant de
how should I know! — (colloq) comment veux-tu que je sache!
2) ( feel certain)‘he won't win’ - ‘oh I don't know’ — ‘il ne va pas gagner’ - ‘oh je n'en suis pas si sûr’
‘I'll take the morning off’ - ‘I don't know about that!’ — ‘je vais prendre ma matinée’ - ‘c'est ce que vous croyez (colloq)!’
I don't know about you but... — je ne sais pas ce que tu en penses, mais...
••not to know where ou which way to turn — fig ne pas savoir à quel saint se vouer
to be in the know — (colloq) être bien informé
to be in the know about something — (colloq) être au courant de quelque chose
См. также в других словарях:
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