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1 scientific expertise
s.conocimientos científicos. -
2 expertise
1. мен. досвідченість; досвід; спеціальні знання; компетентність; 2. експертиза1. знання чи вміння, ерудиція у галузі своєї спеціалізації, фаху; 2. висновок спеціалістів═════════■═════════managerial expertise досвідченість у керівництві • керівний досвід; patent expertise патентна досвідченість • патентний досвід; professional expertise професійна досвідченість • професійний досвід • досвідченість професіонала; scientific expertise наукова досвідченість • науковий досвід; technical expertise технічна досвідченість • технічний досвід═════════□═════════to acquire expertise набувати/набути досвіду • ставати/стати досвідченим • здобувати/здобути досвідченість; to develop expertise удосконалювати/удосконалити досвід; to gain expertise набувати/набути досвіду • ставати/стати досвідченим • здобувати/ здобути досвідченість; to have expertise бути досвідченим • мати досвід; to require technical expertise потребувати технічного досвіду • потребувати технічної досвідченості▹▹ know-how* * *знання; кваліфікація; компетентність; навички; досвід; консультаційні послуги; послуги консультанта -
3 expertise
1. n1) специальные знания, компетентность, эрудиция2) экспертиза, заключение специалистов•- handing expertiseto share expertise — делиться специальными знаниями / опытом
- lack of economic and foreign-policy expertise
- scientific and technical expertise 2. v1) оказывать квалифицированную помощь (знанием, опытом и т.п.) -
4 Scientific Center for Expertise of Means of Medical Application
Универсальный англо-русский словарь > Scientific Center for Expertise of Means of Medical Application
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5 scientific and technical expertise
Военный термин: научно-техническая экспертизаУниверсальный англо-русский словарь > scientific and technical expertise
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6 scientific and technical expertise
Politics english-russian dictionary > scientific and technical expertise
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7 scientific and technical expertise
English-Russian military dictionary > scientific and technical expertise
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8 scientific and technical expertise
English-Russian dictionary of terms that are used in computer games > scientific and technical expertise
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9 which procedures, if any, are absolutely morally unacceptable and which are only morally unacceptable given the current level of scientific knowledge and expertise?
Универсальный англо-русский словарь > which procedures, if any, are absolutely morally unacceptable and which are only morally unacceptable given the current level of scientific knowledge and expertise?
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10 Bibliography
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11 know-how
ком. 1. ноу-хау; виробничий досвід; секрети виробництва; практичні знання; знання справи; досвідченість; 2. науково-технічні знання наявна користь, яку підприємство, організація і т. ін. має у вигляді обізнаності, новаторства, випереджаючої досвідченості (expertise) свого керівництва (management) та своїх працівників (employee), що надає їм конкурентну перевагу над суперниками; ♦ ноу-хау є видом нематеріального активу (intangible asset)═════════■═════════business know-how досвідченість у ділових справах • ділова досвідченість; financial know-how фінансова досвідченість • фінансове ноу-хау; foreign know-how закордонне ноу-хау • закордонний досвід; general know-how загальне ноу-хау • загальна досвідченість; industrial know-how промислова досвідченість; managerial know-how досвідченість у керівництві • керівний досвід; manufacturing know-how виробнича досвідченість; marketing know-how досвідченість в оволодінні ринком; professional know-how професійна досвідченість • професійний досвід • досвідченість професіонала; scientific know-how наукова досвідченість • науковий досвід; technical know-how технічна досвідченість • технічний досвід • технічне ноу-хау; technological know-how технологічна досвідченість═════════□═════════know-how activity обмін виробничим досвідом; know-how contract угода про передачу ноу-хау • ліцензійний договір на ноу-хау; know-how owner власник ноу-хау; know-how put into practice ноу-хау, застосовуване на практиці; to acquire know-how здобувати/здобути ноу-хау • набувати/набути досвіду • здобувати/здобути досвідченість; to develop know-how удосконалювати/удосконалити досвід; to gain know-how набувати/набути досвіду • здобувати/здобути досвідченість; to have know-how мати досвідченість • мати досвід; to require technical know-how потребувати технічного ноу-хау • потребувати технічного досвіду • потребувати технічної досвідченості; to use know-how використовувати/використати досвідченістьknow-how ‡ A. assets (383)═════════◇═════════ноу-хау < англ. know-how — знати, як (СІС: 472)▹▹ expertise▹▹ goodwill* * *"ноу-хау"; виробничий досвід і знання; виробничі секрети -
12 Technical
adjective1) technisch [Problem, Detail, Daten, Fortschritt]; (of particular science, art, etc.) fachlich; Fach[kenntnis, -sprache, -begriff, -wörterbuch]; (of the execution of a work of art) technisch [Fertigkeit, Schwierigkeit]technical expertise/expert — Sachkenntnis, die/Fachmann, der
technical college/school — Fachhochschule, die/Fachschule, die
explain something without being or getting too technical — etwas erklären, ohne sich zu fachsprachlich auszudrücken
technical term — Fachbegriff, der; Fachausdruck, der; Fachterminus, der
for technical reasons — aus technischen Gründen
2) (Law) formaljuristisch3)technical knockout — (Boxing) technischer K.o
* * *['teknikəl]1) (having, or relating to, a particular science or skill, especially of a mechanical or industrial kind: a technical college; technical skill; technical drawing.) technisch2) ((having many terms) relating to a particular art or science: `Myopia' is a technical term for `short-sightedness'.) Fach-...•- academic.ru/73731/technicality">technicality- technically
- technician* * *tech·ni·cal[ˈteknɪkəl]1. (concerning applied science) technisch2. (detailed) Fach-some parts of the book were too \technical to follow einige Teile des Buches waren fachlich zu anspruchsvoll, als dass man hätte folgen können\technical aspects fachliche Aspekte\technical term Fachausdruck m3. (in technique) technisch\technical skill technisches Können4. STOCKEX technisch\technical analysis Fachanalyse f, technische Analyse\technical correction technische Kurskorrektur\technical decline technischer Rückgang* * *['teknIkəl]adj1) (= concerning technology and technique) technischtechnical hitch — technische Schwierigkeit, technisches Problem
technical term — Fachausdruck m, Terminus technicus m (geh)
for technical reasons (Jur) — aus verfahrenstechnischen Gründen
the book is a bit too technical for me — in dem Buch sind mir zu viele Fachausdrücke
he uses very technical language — er benutzt sehr viele Fachausdrücke
a 2L 54, if you want to be technical —
that's true, if you want to be technical — das stimmt schon, wenn mans genau nimmt
* * *ASTMS abk Br Association of Scientific, Technical, and Managerial Staffs* * *adjective1) technisch [Problem, Detail, Daten, Fortschritt]; (of particular science, art, etc.) fachlich; Fach[kenntnis, -sprache, -begriff, -wörterbuch]; (of the execution of a work of art) technisch [Fertigkeit, Schwierigkeit]technical expertise/expert — Sachkenntnis, die/Fachmann, der
technical college/school — Fachhochschule, die/Fachschule, die
explain something without being or getting too technical — etwas erklären, ohne sich zu fachsprachlich auszudrücken
technical term — Fachbegriff, der; Fachausdruck, der; Fachterminus, der
2) (Law) formaljuristisch3)technical knockout — (Boxing) technischer K.o
* * *adj.fachlich adj.technisch adj. -
13 marketing
сущ.1) эк. торговля, реализация, продажа, сбыт (процесс передачи товаров от производителей промежуточным или конечным потребителям)ATTRIBUTES: cooperative, direct 1. 3), domestic 1. 2) а), global 1. 1) а), local 1. 1) а), mass 3. 1) а), national 1. 1) а), regional
See:cooperative marketing 2), direct marketing 2), domestic marketing 2), global marketing 2), 1), local marketing 2), mass marketing 2), national marketing 2), regional marketing 2) marketing authority, marketing behaviour 2), marketing board, marketing contract, marketing facilities 1), marketing level 2), marketing outlet 2), marketing permit, marketing position 2), marketing potential 2), marketing quota, marketing territory, marketing transaction 2), marketing year, usual marketing requirements, advertising, selling, merchandising2) марк. маркетинг (система методов и средств продвижения товаров или услуг от производителя к потребителю; включает анализ рынка, дизайн, разработку упаковки, разработку системы сбыта, рекламу и т. д.)marketing director — маркетинговый директор, директор по маркетингу
marketing expert — маркетинговый эксперт, эксперт в области маркетинга
marketing expertise — маркетинговая экспертиза, экспертная оценка в области маркетинга
Do we need to improve marketing or simply drop a particular product? — Нужно ли нам улучшить маркетинг или лучше отказаться от какого-л. продукта?
Internet marketing is not as difficult as it sounds. — Маркетинг в интернет не так сложен, как может показаться.
ATTRIBUTES: affinity, agricultural, ambush, back end, bank, bench, brand, business site, business-to-business, buzz, catalogue, cause-related, celebrity, circulation, competitive, concentrated 1) а), consumer goods, consumer, consumer-oriented, convergent, conversion, cooperative, corporate, counter, cross, customized, database, data-driven, developing, differentiated, dimensional, direct mail, direct, direct response, divergent, domestic 2) а), door-to-door, electronic, enlightened, ethnic, event, exponential, export 3. 2) а), farm 1. 1) а), financial 1. 2) а), foreign 1. 1) б), fraudulent, front end, full-scale, generic, geodemographic, global 1. 1) б), grassroots, green, grey, health care, housing, idea, incentive, industrial 1. 1) а), а, innovative, integrated, interactive, international, Internet, joint, knowledge-based, leveraged, list, local 1. 1) а), mass, media, multichannel, multilevel, multisegment, multistep, national 1. 1) а), negative option, network, niche, non-profit, one-step, one-to-one, on-line, operational, opt-in, opt-out, organic, organizational, permission, person, personal, personnel, place, product, product-differentiated, product-oriented, promotion, promotional, referral, regional, request, retail, scientific, segmented, sense-of-mission, service 1. 2) а), shopper, social, societal, sports, stimulating, strategic, structure, supporting, symbiotic, synchro, tactical, target 3. 2) а), targeted, telephone, television, test, trade, undifferentiated, unsegmented, vacation, value, vendor, video, viral, world
See:affinity marketing, agricultural marketing, agrimarketing, ambush marketing, back end marketing, back-end marketing, bank marketing, benchmarketing, brand marketing, business site marketing, business-to-business marketing, buzz marketing, catalogue marketing, cause-related marketing, celebrity marketing, circulation marketing, comarketing, co-marketing, competitive marketing, concentrated marketing, consumer goods marketing, consumer marketing, consumer-oriented marketing, convergent marketing, conversion marketing, cooperative marketing 1), corporate marketing, countermarketing, counter-marketing, cross-marketing, customized marketing, database marketing, data-driven marketing, demarketing, developing marketing, differentiated marketing, dimensional marketing, direct mail marketing, direct marketing 1), direct response marketing, direct-mail marketing, divergent marketing, domestic marketing 1), door-to-door marketing, electronic marketing, e-marketing, enlightened marketing, ethnic marketing, event marketing, events marketing, exponential marketing, export marketing, farm marketing, financial marketing, foreign marketing, fraudulent marketing, front end marketing, front-end marketing, full-scale marketing, generic marketing, geodemographic marketing, global marketing 1), grassroots marketing, green marketing, grey marketing, health care marketing, housing marketing, idea marketing, incentive marketing, industrial marketing, innovative marketing, integrated marketing, interactive marketing, international marketing, 2), joint marketing, knowledge-based marketing, leveraged marketing, list marketing, local marketing 1), macromarketing, mass marketing 1), media marketing, megamarketing, micromarketing, micro-marketing, multilevel marketing, multisegment marketing, multistep marketing, multi-step marketing, national marketing 1), negative option marketing, network marketing, niche marketing, non-profit marketing, one-step marketing, one-to-one marketing, on-line marketing, operational marketing, opt-in marketing, opt-out marketing, organic marketing, organizational marketing, permission marketing, person marketing, personal marketing, personnel marketing, place marketing, political candidate marketing, political marketing, pre-emptive marketing, premarketing, pre-marketing, product marketing, product-differentiated marketing, product-oriented marketing, promotion marketing, promotional marketing, referral marketing, regional marketing 1), remarketing, request marketing, retail marketing, scientific marketing, segmented marketing, sense-of-mission marketing, services marketing, shopper marketing, social marketing, societal marketing, sports marketing, stimulating marketing, strategic marketing, structure marketing, supporting marketing, symbiotic marketing, synchro marketing, synchromarketing, tactical marketing, target marketing, targeted marketing, telemarketing, telephone marketing, television marketing, test marketing, trade marketing, undifferentiated marketing, unsegmented marketing, vacation marketing, value marketing, vendor marketing, video marketing, viral marketing, world marketing, marketing action, marketing administration, marketing agency, marketing agreement, marketing analysis, marketing analyst, marketing appeal, marketing approach, marketing area, marketing arithmetic, marketing audit, marketing auditor, marketing behaviour 1), marketing bill, marketing budget, marketing campaign, marketing capability, marketing career, marketing chain, marketing channel, marketing communications, marketing company, marketing concept, marketing consultant, marketing control, marketing cooperation, marketing cooperative, marketing cost, marketing database, marketing decision, marketing department, marketing editor, marketing effectiveness, marketing efficiency, marketing environment, marketing ethics, marketing evaluation, marketing event, marketing expenditure, marketing expense, marketing expense-to-sales analysis, marketing experiment, marketing facilities 2), marketing feasibility, marketing firm, marketing function, marketing image, marketing implications, marketing information system, marketing instrument, marketing intelligence, marketing intermediary, marketing launch, marketing level 1), marketing logistics, marketing man, marketing management, marketing manager, marketing margin, marketing media, marketing medium, marketing middleman, marketing mix, marketing model, marketing myopia, marketing niche, marketing offer, marketing opportunity, marketing organization, marketing orientation, marketing outlet 1), marketing overkill, marketing performance, marketing plan, marketing planning, marketing position 1), marketing positioning, marketing potential 1), marketing productivity, marketing representative, marketing research, marketing response, marketing risk, marketing science, marketing scientist, marketing segmentation, marketing service, marketing specialist, marketing spread, marketing stimulus, marketing strategy, marketing strength, marketing support, marketing system, marketing tactics, marketing technique, marketing tool, marketing transaction 1), marketing value, marketing warfare, marketing weakness, advertising, pricing, promotion, product line, ICC / ESOMAR International Code of Marketing and Social Research Practice, ICC Guidelines / Code on Advertising and Marketing on the Internet, ICC International Codes of Marketing and Advertising Practices, Journal of Marketing, Marketing Society, American Marketing Association, British Institute of Marketing, Chartered Institute of Marketing, Communication, Advertising and Marketing Education Foundation, Communication, Advertising and Marketing Education Foundation, Communication, Advertising and Marketing Education Foundation, Communication, Advertising and Marketing Education Foundation, Communication, Advertising and Marketing Education Foundation, Communication, Advertising and Marketing Education Foundation, Communication, Advertising and Marketing Education Foundation, Communication, Advertising and Marketing Education Foundation3) торг. покупка продуктов (как правило, на рынке), закупка провизииI could prove that any male could do the weekly marketing at our local Ding Dong faster than any Mom. — Могу сказать с уверенностью, что любой мужчина может закупать провизию в нашем местном "Динг-Донге" быстрее домохозяйки.
See:4) потр., редк. предметы торговли; купленные товары [продукты\]See:
* * *
маркетинг: система методов и средств продвижения товаров от производителя к потребителю; включает анализ рынка, дизайн, разработку упаковки, организацию сбыта, рекламу и т. д.* * *. система организации производственно-сбытовой деятельности предприятия, в основе которой лежит комплексное изучение рынка, оценка и учет всех условий производства и сбыта продукции, товаров, услуг в ближайшее и более отдаленной перспективе. Основными элементами М. выступают: маркетинговые исследования и сбор информации, планирование ассортимента продукции, реализация, реклама и стимулирование сбыта. . Словарь экономических терминов 1 .* * *маркетинг’процесс выявления, максимизации и удовлетворения потребительского спроса на изделия компании -
14 USE
1) Компьютерная техника: Unified Search Environment3) Сокращение: Undersea Scientific Expedition4) Университет: University Skills Expertise5) Деловая лексика: Use Standards And Evaluation, Usefulness, Satisfaction, And Ease6) Расширение файла: Log file7) Ebay. Единый Государственный Экзамен -
15 use
1) Компьютерная техника: Unified Search Environment3) Сокращение: Undersea Scientific Expedition4) Университет: University Skills Expertise5) Деловая лексика: Use Standards And Evaluation, Usefulness, Satisfaction, And Ease6) Расширение файла: Log file7) Ebay. Единый Государственный Экзамен -
16 expert
1) эксперт2) знаток, эксперт; мастер, специалист; высококвалифицированный (компетентный, опытный) специалистсм. тж. academic expert, domain expert, expert programmer, industry expert, scientific expert, technical expert4) экспертныйАнгло-русский толковый словарь терминов и сокращений по ВТ, Интернету и программированию. > expert
-
17 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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18 innovation
инновации
1. Процесс создания и освоения новых технологий и продуктов, приводящий к повышению эффективности производства. 2. Новая техника, технологии, являющиеся результатом научно-технического прогресса. Инновации, в современных условиях, достигаются преимущественно путем инвестиций в нематериальные активы (НИОКР, информационные технологии, переподготовку кадров, привлечение покупателей) Инновации в самом общем смысле, прежде всего, делятся на два класса: инновации процесса и инновации продукта, хотя они тесно связаны между собой; возможно как изготовление нового продукта старыми методами, так и изготовление старого продукта новыми методами – и наоборот. Не следует смешивать понятия инноваций и изобретений. Второе – более узко, относится к технике и технологии. Однако порою простая реорганизация производства ( а это организационная инновация) может принести не меньший экономический эффект, чем изобретение, техническое усовершенствование. Инновации – основа и движущая сила научно-технического прогресса во всех его видах: трудосберегающего, капиталосберегающего, нейтрального. Основоположник теории инноваций австрийский экономист Й.Шумпетер утверждал, что двигателем экономического развития выступает предприимчивость, выражающаяся в постоянном поиске новых комбинаций факторов производства, дающих предпринимателю возможность получать прибыль, большую по сравнению со средней. Все инновации связаны с большой долей риска. Но известно и другое: отказ от инноваций является еще более рисковым делом, поскольку ведет к замедлению научно-технического прогресса и экономического роста в целом.См. Диффузия инноваций.
[ http://slovar-lopatnikov.ru/]Тематики
EN
инновация
1. Вложение средств в экономику, обеспечивающее смену поколений техники и технологии.
2. Новая техника, технология, являющиеся результатом достижений научно-технического прогресса. Развитие изобретательства, появление пионерских и крупных изобретений является существенным фактором инновации.
[ http://www.lexikon.ru/dict/buh/index.html]
инновация
1.- См статью Иннновации, 2. — результат вложения средств (инвестиций) в разработку новой техники и технологии, во внедрение новых форм бизнеса, современных методов работы на рынке, новых товаров и услуг, финансовых инструментов.
[ http://slovar-lopatnikov.ru/]Параллельные тексты EN-RU из ABB Review. Перевод компании Интент
Partners in technologyNew challenges to a history of cooperation with customersПартнеры по технологииНовые уроки сотрудничества с заказчикамиABB’s predecessor companies, ASEA and BBC, were founded almost 120 years ago in a time when electromagnetism and Maxwell’s equations were considered “rocket science.” Since then several technological transitions have occurred and ABB has successfully outlived them all while many other companies vanished at some point along the way. This has been possible because of innovation and a willingness to learn from history. Understanding historical connections between products, technology and industrial economics is extremely Partners in technology New challenges to a history of cooperation with customers George A. Fodor, Sten Linder, Jan-Erik Ibstedt, Lennart Thegel, Fredrik Norlund, Håkan Wintzell, Jarl Sobel important when planning future technologies and innovations.Предшественницы АББ, компании ASEA и BBC, были основаны почти 120 лет назад, в то время, когда электромагнетизм и уравнения Максвелла считались «космическими технологиями». С тех пор прошло несколько технических революций и АББ успешно пережила их все, в то время как многие другие компании затерялись по дороге. Это стало возможным, благодаря постоянным инновациям и стремлению учиться на уроках истории. Для планирования будущих технологий и инноваций огромную роль играет понимание исторических взаимосвязей между продуктами, технологиями и экономикойThese connections rely on information channels in companies and their existence cannot be underestimated if a company is to survive. An organization can acquire more information than any one individual, and the optimal use of this information depends on the existence and types of communication channels between those working in a company and the relevant people outside it.Эти взаимосвязи опираются на существующие в компании информационные каналы и, если компания намерена выжить, их значение нельзя недооценивать. Организация может накопить значительно больше информации, чем любой отдельный человек, и оптимальное использование этой информации зависит от наличия и типов коммуникационных каналов между работниками компании и причастными людьми за ее пределами.Force Measurement, a division of ABB AB, has a long tradition of innovation. Thanks to strong ties with its customers, suppliers, research institutes and universities, Force Measurement provides state-of-the-art equipment for accurate and reliable measurement and control in a broad range of applications. At the same time, established principles such as Maxwell’s equations continue to be applied in new and surprisingly innovative ways to produce products that promote long-term growth and increased competitiveness.Группа измерения компании АББ имеет давние традиции использования инноваций. Благодаря прочным связям с заказчиками, поставщиками, исследовательскими институтами и университетами, она создает уникальное оборудование для точных и надежных измерений в самых разных областях. В то же время незыблемые принципы, подобные уравнениям Максвелла, продолжают применяться новыми и удивительно инновационными способами, позволяя создавать продукты, обеспечивающие устойчивый рост и высокую конкурентоспособность.Innovation is a key factor if companies and their customers are to survive what can only be called truly testing times. The target of innovation is to find and implement ideas that reshape industries, reinvent markets and redesign value chains, and many of these ideas come from innovative customers.Если компания и ее заказчики намерены пережить тяжелые времена, то основное внимание следует обратить на инновации. Целью инноваций является поиск и воплощение идей, позволяющих перевернуть промышленность, заново открыть рынки и перестроить стоимостные цепочки, причем многие из этих идей поступают от заказчиков.Key to successful innovation is communication or the types of information channels employed by firms [1, 2]. A global company like ABB, with offices and factories spanning 90 countries, faces many challenges in maintaining information channels. First of all, there are the internal challenges. Ideas need to be evaluated from many different perspectives to determine their overall impact on the market. Selecting the most effective ones requires expertise and teamwork from the various business, marketing and technology competence groups. Just as important are the channels of communication that exist between ABB, and its customers and suppliers.Секрет успешных инноваций кроется в типах используемых фирмой информационных каналов [1, 2]. Глобальные компании, подобные АББ, с офисами и заводами более чем в 90 странах, сталкиваются с серьезными проблемами управления информационными каналами. Во-первых, существуют внутренние проблемы. Чтобы определить ценность идеи и ее общее влияние на рынок, ее нужно подвергнуть всесторонней оценке. Выбор наиболее эффективных идей требует коллективной работы различных экономических, маркетинговых и технологических групп. Не менее важны и коммуникационные каналы между компанией АББ и ее заказчиками и поставщиками.Many of ABB’s customers come from countries that are gradually developing strong technology and scientific cultures thanks to major investments in very ambitious research programs. China and India, for example, are two such countries. In fact, the Chinese Academy of Sciences is currently conducting research projects in all state of-the-art technologies. Countries in Africa and Eastern Europe are capitalizing on their pool of young talent to create a culture of technology development. Emerging markets, while welcome, mean stiffer competition, and competition to companies like ABB encourages even greater levels of innovationМногие заказчики АББ пришли из стран, постоянно развивающих сильную технологию и научную культуру путем крупных инвестиций в грандиозные исследовательские программы. К таким странам относятся, например, Индия и Китай. На самом деле, Китайская академия наук ведет исследования по всем перспективным направлениям. Страны Африки и Восточной Европы делают ставку на молодые таланты, которым предстоит создавать культуру технологического развития. Новые рынки, хоть и привлекательны, ужесточают конкуренцию, а конкуренция с такими компаниями, как АББ способствует повышению уровня инноваций.Many customers, similar stories Backed by 120 years of technological development and experience, ABB continues to produce products and services in many automation, power generation and robotics fields, and the examples described in the following section illustrate this broad customer range.Заказчиков много, история однаОпираясь более чем на 120-летний опыт технологического развития, АББ продолжает выпускать продукты и оказывать услуги во многих отраслях, связанных с автоматизацией, генерацией энергии и робототехникой. Приведенные далее при меры иллюстрируют широкий диапазон таких заказчиков.Тематики
EN
3.1.29 инновация (innovation): Конечный результат инновационной деятельности, получивший реализацию в виде нового или усовершенствованного продукта, реализуемого на рынке, нового или усовершенствованного технологического процесса, используемого в практической деятельности.
Источник: ГОСТ Р 54147-2010: Стратегический и инновационный менеджмент. Термины и определения оригинал документа
Англо-русский словарь нормативно-технической терминологии > innovation
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