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1 development processes
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2 new product development
Mktgthe processes involved in getting a new product or service to market. The traditional product development cycle, the stage-gate model, embraces the conception, generation, analysis, development, testing, marketing, and commercialization of new products or services. Alternative models of new product development fall into two broad categories: accelerating time to market models and integrated implementation models. These strive to achieve both flexibility and acceleration of development. All activities such as design, production planning, and test marketing are performed in parallel rather than going through a sequential linear progression.Abbr. NPD -
3 Global Product Development System
авто Global Product Development System (сокр. GPDS)"Глобальная система разработки продукта"Achieving such premium levels of quality is an integral part of Ford’s powerful new Global Product Development System (GPDS), which defines the processes which underpin the development of all new Ford products. — Достижение таких высочайших уровней качества является неотъемлемой частью новой мощной системы Ford GPDS ("Глобальная система разработки продукта"), которая определяет процессы, поддерживающие разработку всех новых продуктов Ford.
Англо-русский универсальный дополнительный практический переводческий словарь И. Мостицкого > Global Product Development System
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4 economic development
экономическое развитие
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[ http://www.eionet.europa.eu/gemet/alphabetic?langcode=en]EN
economic development
The state of nations and the historical processes of change experienced by them, the extent to which the resources of a nation are brought into productive use; the concept of development subsumes associated social, cultural and political changes as well as welfare measures. (Source: GOOD)
[http://www.eionet.europa.eu/gemet/alphabetic?langcode=en]Тематики
EN
DE
FR
Англо-русский словарь нормативно-технической терминологии > economic development
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5 methodology for development of industrial reaction processes
Универсальный англо-русский словарь > methodology for development of industrial reaction processes
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6 sequence of regularly recurring processes of formation, development and decay of ice cover on bodies of water and watercourses
Универсальный англо-русский словарь > sequence of regularly recurring processes of formation, development and decay of ice cover on bodies of water and watercourses
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7 career change
HRa switch in profession or in type of job, often to a different employer. Career change may be planned as part of the CPD or career development processes, or it may be forced on an employee by downsizing, ill-health, or a change in personal circumstance. -
8 raw materials
Opsitems bought for use in the manufacturing or development processes of an organization. While most often referring to bulk materials, raw materials can also include components, subassemblies, and complete products. -
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 Bibliography
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New York: W. H. Freeman.■ Weizenbaum, J. (1976). Computer power and human reason: From judgment to cal culation. San Francisco: W. H. Freeman.■ Wertheimer, M. (1945). Productive thinking. New York: Harper & Bros.■ Whitehead, A. N. (1925). Science and the modern world. New York: Macmillan.■ Whorf, B. L. (1956). In J. B. Carroll (Ed.), Language, thought and reality: Selected writings of Benjamin Lee Whorf. Cambridge, MA: MIT Press.■ Whyte, L. L. (1962). The unconscious before Freud. New York: Anchor Books.■ Wiener, N. (1954). The human use of human beings. Boston: Houghton Mifflin.■ Wiener, N. (1964). God & Golem, Inc.: A comment on certain points where cybernetics impinges on religion. Cambridge, MA: MIT Press.■ Winograd, T. (1972). Understanding natural language. New York: Academic Press.■ Winston, P. H. (1987). Artificial intelligence: A perspective. In E. L. Grimson & R. S. Patil (Eds.), AI in the 1980s and beyond (pp. 1-12). Cambridge, MA: MIT Press.■ Winston, P. H. (Ed.) (1975). 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Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
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11 process
1. n1) процесс; процедура2) юр. вызов в суд•to disrupt the Middle East peace process — срывать процесс мирного урегулирования на Ближнем Востоке
to further a process — ускорять процесс; способствовать процессу
to keep smb out of the peace process — не допускать чьего-л. участия в процессе мирного урегулирования
to put a new impetus behind the peace process — придавать новый импульс процессу мирного урегулирования
to restore the peace process — восстанавливать / возрождать процесс мирного урегулирования
to revive the peace process — возобновлять / возрождать процесс мирного урегулирования
to salvage / to save the peace process — спасать процесс мирного урегулирования
to throw one's weight behind the peace process — использовать свое влияние для поддержания процесса мирного урегулирования
- all-European processto serve a process on smb — вызывать кого-л. в суд повесткой
- automated process
- basic laws of historical process
- breakthrough in the peace process
- budget-balancing process
- budget-making process
- collapse of the peace process
- commitment to the peace process
- completion of the construction process
- complex process
- complicated process
- constitutional process
- construction process
- continuous process
- contradictory process
- damaging to the peace process
- decision-making process
- decolonization process
- deepening of integration processes
- democratization process
- demographic process
- development process
- disarmament process
- disconnection process
- due process
- economic process
- educational process
- engineering process
- evolutionary process
- foot-dragging in the peace process
- historical process
- in the process
- industrialization process
- inflationary process
- information transfer process
- integration process
- interconnected processes
- internal process
- intricate process
- irreversible process
- judicial process
- labor process
- labor-intensive process
- law-governed process
- liberation process
- long drawn-out process
- long process
- long-term process
- managerial process
- manufacturing process
- modernization process
- multiform process
- natural process
- natural-historical process
- negative process
- negotiating process
- on-going process
- on-off peace process
- overall process
- painful process
- paper-laden process
- peaceful process
- peace-making process
- political process
- positive process
- preconvention bargaining process
- process of democratization
- process of détente
- process of economic growth
- process of national liberation
- process of polarization
- process of production
- production process
- programming process
- progressive process
- rapid process
- reform process
- rehabilitation process
- renewal of the peace process
- revolutionary process
- short-circuited process
- slowing down of the reform process
- social process
- socio-economic process
- spasmodic process
- stagnant process
- stalled peace process
- teaching and educational process
- technological process
- the country had a part to play in the peace process
- the peace process goes forward
- the peace process hangs by a thread
- the peace process has been stalled
- the peace process has broken down
- the peace process is in limbo
- the peace process is in tatters
- the ups and downs of the peace process
- transitional process
- under the peace process
- unification process
- work process
- worldwide process 2. vперерабатывать, обрабатывать -
12 process
'prəuses, ]( American) 'pro-
1. noun1) (a method or way of manufacturing things: We are using a new process to make glass.) proceso2) (a series of events that produce change or development: The process of growing up can be difficult for a child; the digestive processes.) proceso3) (a course of action undertaken: Carrying him down the mountain was a slow process.) operación
2. verb(to deal with (something) by the appropriate process: Have your photographs been processed?; The information is being processed by computer.) (fotografías) revelar; procesar, tratar- in the process of
process n procesotr['prəʊses]1 (set of actions, changes) proceso2 (method) procedimiento, proceso1 (raw material, food) procesar, tratar; (film) revelar2 (deal with) ocuparse de, tramitar3 SMALLCOMPUTING/SMALL procesar, tratar\SMALLIDIOMATIC EXPRESSION/SMALLin process en cursoin the process (as a result) con ello■ she won the race, but pulled a muscle in the process ganó la carrera, pero con ello se hizo un tirónin the process of time con el tiempoto be in the process of doing something estar en vías de hacer algo, estar haciendo algo————————tr[prə'ses]1 (gen) desfilar2 SMALLRELIGION/SMALL ir en procesiónprocess ['prɑ.sɛs, 'pro:-] vt: procesar, tratar1) : proceso mthe process of elimination: el proceso de eliminación2) method: proceso m, método mmanufacturing processes: procesos industriales3) : acción f judicialdue process of law: el debido proceso (de la ley)4) summons: citación f5) projection: protuberancia f (anatómica)6)in the process of : en vías dein the process of repair: en reparacionesn.(§ pl.: processes) = expediente s.m.• procedimiento s.m.• proceso s.m.v.• beneficiar v.• elaborar v.• preparar v.• procesar v.• tratar v.'prɑːses, 'prəʊ-, 'prəʊses
I
1)a) (series of actions, changes) proceso mthe peace process — (journ) el proceso de paz
in process — (AmE) en construcción
b) ( method) proceso m, procedimiento m2)a) ( proceedings) (frml) acción f judicialb) ( writ) demanda f
II
1.
a) \<\<raw materials/waste\>\> procesar, tratar; \<\<film\>\> revelarb) \<\<applications\>\> dar* curso a, procesar; \<\<order\>\> tramitarc) \<\<data\>\> procesar
2.
I ['prǝʊses]1. N1) (=series of developments) proceso m•
the ageing process — el envejecimiento•
I got what I wanted but made a lot of enemies in the process — conseguí lo que quería pero a costa de crearme muchos enemigosdue 1., 3), elimination 1.•
in the process of, it is in (the) process of construction — está en (vías de) construcción2) (=specific method) proceso m, procedimiento m3) (Jur) (=action) proceso m ; (=summons) citación f•
to bring a process against sb — demandar a algn•
to serve a process on sb — notificar una citación a algn4) (Anat, Bot, Zool) protuberancia f2. VT1) (=treat) [+ raw materials] procesar; [+ food] (industrially) procesar, tratar; (with food processor) pasar por el robot de cocina•
to process sth into sth — procesar algo para convertirlo en algo2) (=deal with) [+ application, claim, order] tramitar; [+ applicants] atender3) (Comput) procesar4) (Phot) revelar3.CPDprocess cheese N — (US) queso m fundido
process server N — agente mf judicial
II
[prǝ'ses]VI (Brit) frm (=go in procession) desfilar; (Rel) ir en procesión* * *['prɑːses, 'prəʊ-, 'prəʊses]
I
1)a) (series of actions, changes) proceso mthe peace process — (journ) el proceso de paz
in process — (AmE) en construcción
b) ( method) proceso m, procedimiento m2)a) ( proceedings) (frml) acción f judicialb) ( writ) demanda f
II
1.
a) \<\<raw materials/waste\>\> procesar, tratar; \<\<film\>\> revelarb) \<\<applications\>\> dar* curso a, procesar; \<\<order\>\> tramitarc) \<\<data\>\> procesar
2.
-
13 process
I 1. noun1) (of time or history) Lauf, derhe learnt a lot in the process — er lernte eine Menge dabei
be in process — in Gang sein
3) (method) Verfahren, das; see also academic.ru/23789/elimination">elimination 1)2. transitive verbprocess of evolution — Evolutionsprozess, der
verarbeiten [Rohstoff, Signal, Daten]; bearbeiten [Antrag, Akte, Darlehen]; (for conservation) behandeln [Leder, Lebensmittel]; (Photog.) entwickeln [Film]II[prə'ses] intransitive verb ziehen* * *['prəuses, ]( American[) 'pro-] 1. noun1) (a method or way of manufacturing things: We are using a new process to make glass.) das Verfahren2) (a series of events that produce change or development: The process of growing up can be difficult for a child; the digestive processes.) der Prozeß3) (a course of action undertaken: Carrying him down the mountain was a slow process.) der Vorgang2. verb(to deal with (something) by the appropriate process: Have your photographs been processed?; The information is being processed by computer.) bearbeiten- processed- in the process of* * *pro·cess1[ˈprəʊses, AM ˈprɑ:-]I. n<pl -es>\process of ageing Alterungsprozess mby a \process of elimination durch Auslesedigestive \process Verdauungsvorgang ma new \process for treating breast cancer eine neue Methode zur Behandlung von Brustkrebsto develop a new \process ein neues Verfahren entwickeln▪ in \process im Gangein the \process dabei▪ to be in the \process of doing sth dabei sein, etw zu tun5. (summons) gerichtliche Verfügungto serve sb a \process [or a \process on sb] jdn vorladenII. vt1. (deal with)▪ to \process sth etw bearbeitento \process an application/a document/the mail einen Antrag/ein Dokument/die Post bearbeitento \process sb's papers [or paperwork] jds Papiere durcharbeiten▪ to \process sb jdn abfertigen2. COMPUTto \process data/information Daten/Informationen verarbeiten [o aufbereiten▪ to \process sth etw verstehen [o [geistig] verarbeiten4. (treat)▪ to \process sth etw bearbeiten [o behandeln]to \process beans for freezing/canning Bohnen zum Einfrieren/Einmachen verarbeitento \process food Nahrungsmittel haltbar machen [o konservieren]to \process raw materials Rohstoffe [weiter]verarbeitento \process milk Milch sterilisieren5. PHOTto \process a film einen Film entwickelnpro·cess2[prə(ʊ)ˈses, AM prəˈ-]vi ( form) [in einer Prozession] mitgehen* * *I ['prəʊses]1. n1) Prozess mthe process of time will... —
in the process of time — im Laufe der Zeit, mit der Zeit
to be in the process of doing sth — dabei sein, etw zu tun
a process of a bone/of the jaw — ein Knochen-/Kiefernvorsprung m
2. vt(= treat) raw materials, data, information, waste verarbeiten; food konservieren; milk sterilisieren; application, loan, wood bearbeiten; film entwickeln; (= deal with) applicants, people abfertigen II [prə'ses]vi(Brit: go in procession) ziehen, schreiten* * *process1 [ˈprəʊses; US auch ˈprɑ-]A sa) Herstellungsverfahren,b) Herstellungsprozess, -vorgang m, Werdegang m;in process of construction im Bau (befindlich);be in the process of doing sth dabei sein, etwas zu tun;process average mittlere Fertigungsgüte;process automation Prozessautomatisierung f;process engineering Verfahrenstechnik f;process of combustion Verbrennungsvorgang;processes of life Lebensvorgänge;mental process, process of thinking Denkprozess3. Arbeitsgang m4. Fortgang m, -schreiten n, (Ver)Lauf m (der Zeit):in process of time im Laufe der Zeit;be in process im Gange sein, sich abwickeln;in process of im Verlauf von (od gen);the machine was damaged in the process dabei wurde die Maschine beschädigt5. CHEMa) → A 1, A 2:b) Reaktionsfolge f6. TYPO fotomechanisches Reproduktionsverfahren:7. FOTO Übereinanderkopieren n8. JURb) Rechtsgang m, (Gerichts)Verfahren n:due process of law ordentliches Verfahren, rechtliches Gehör9. ANAT Fortsatz m10. BOT Auswuchs m11. fig Vorsprung m12. MATH Auflösungsverfahren n (einer Aufgabe)B v/t1. bearbeiten, behandeln, einem Verfahren unterwerfen2. verarbeiten, Lebensmittel haltbar machen, Milch etc sterilisieren, (chemisch) behandeln, Stoff imprägnieren, Rohstoffe etc aufbereiten:process into verarbeiten zu;process information Daten verarbeiten;processed cheese Schmelzkäse m3. JURa) vorladenb) gerichtlich belangen5. fig jemandes Fall etc bearbeitenprocess2 [prəˈses] v/i besonders Br1. in einer Prozession (mit)gehen2. ziehenproc. abk2. procedure3. process* * *I 1. noun1) (of time or history) Lauf, der2. transitive verbprocess of evolution — Evolutionsprozess, der
verarbeiten [Rohstoff, Signal, Daten]; bearbeiten [Antrag, Akte, Darlehen]; (for conservation) behandeln [Leder, Lebensmittel]; (Photog.) entwickeln [Film]II[prə'ses] intransitive verb ziehen* * *n.(§ pl.: processes)= Arbeitsgang m.Prozess -e m.Vorgang -¨e m. v.entwickeln v.verarbeiten v.weiter verarbeiten ausdr. -
14 process
1) процессв системном программировании существует множество разных определений этого термина. В современных ОС процесс - это набор из одного и более тредов (потоков) и ассоциированных с ними системных ресурсов. Важное свойство процесса - он исполняется в своём собственном изолированном адресном пространстве и состоит как минимум из одного треда.Processes describe computational entities that do not share an address space; there can be separate processes running on one processor, processes running on independent processors in the same computer, or processes running on entirely separate computers. — Процессы - это вычислительные сущности, не разделяющие общее адресное пространство; бывают отдельные процессы, работающие на одном процессоре, процессы, работающие на независимых процессорах одного и того же компьютера, или процессы на совершенно разных компьютерах. Термин впервые был введён разработчиками ОС Multics см. тж. child process, client process, daemon, detached process, event process, light-weighted process, parent process, PID, privileged process, process class, process container, process context, process control, process descriptor, process diagram, process identification, process memory, process migration, process owner, process priority, process space, process state, process switching, server process, spawned process, thread, user-mode process
2) обработка; технологический процесс, технология (способ) обработкисм. тж. compilation process, computational process, development process, event process, process line, test process3) процесс, ход развитиясм. тж. stochastic process4) обрабатыватьАнгло-русский толковый словарь терминов и сокращений по ВТ, Интернету и программированию. > process
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15 Cognitivism
Cognitivism in psychology and philosophy is roughly the position that intelligent behavior can (only) be explained by appeal to internal "cognitive processes." (Haugeland, 1981a, p. 243)Cognitive science is an interdisciplinary effort drawing on psychology and linguistics, and philosophy. Emboldened by an apparent convergence of interests, some scientists in these fields have chosen not to reject mental functions out of hand as the behaviorists did. Instead, they have relied on the concept of mental representations and on a set of assumptions collectively called the functionalist positions. From this viewpoint, people behave according to knowledge made up of symbolic mental representations. Cognition consists of the manipulation of these symbols. Psychological phenomena are described in terms of functional processes.The efficacy of such processes resides in the possibility of interpreting items as symbols in an abstract and well-defined way, according to a set of unequivocal rules. Such a set of rules constitutes what is known as a syntax.The exercise of these syntactical rules is a form of computation.... Computation is assumed to be largely independent of the structure and the mode of development of the nervous system, just as a piece of computer software can run on different machines with different architectures and is thus "independent" of them....This point of view-called cognitivism by some-has had a great vogue and has prompted a burst of psychological work of great interest and value. Accompanying it have been a set of remarkable ideas.... I cannot overemphasize the degree to which these ideas or their variants pervade modern science.... But I must also add that the cognitivist enterprise rests on a set of unexamined assumptions. One of its most curious deficiencies is that it makes only marginal reference to the biological foundations that underlie the mechanisms it purports to explain. The result is a scientific deviation as great as that of the behaviorism it has attempted to supplant. (Edelman, 1992, pp. 13-14)Historical dictionary of quotations in cognitive science > Cognitivism
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16 Intelligence
There is no mystery about it: the child who is familiar with books, ideas, conversation-the ways and means of the intellectual life-before he begins school, indeed, before he begins consciously to think, has a marked advantage. He is at home in the House of intellect just as the stableboy is at home among horses, or the child of actors on the stage. (Barzun, 1959, p. 142)It is... no exaggeration to say that sensory-motor intelligence is limited to desiring success or practical adaptation, whereas the function of verbal or conceptual thought is to know and state truth. (Piaget, 1954, p. 359)ntelligence has two parts, which we shall call the epistemological and the heuristic. The epistemological part is the representation of the world in such a form that the solution of problems follows from the facts expressed in the representation. The heuristic part is the mechanism that on the basis of the information solves the problem and decides what to do. (McCarthy & Hayes, 1969, p. 466)Many scientists implicitly assume that, among all animals, the behavior and intelligence of nonhuman primates are most like our own. Nonhuman primates have relatively larger brains and proportionally more neocortex than other species... and it now seems likely that humans, chimpanzees, and gorillas shared a common ancestor as recently as 5 to 7 million years ago.... This assumption about the unique status of primate intelligence is, however, just that: an assumption. The relations between intelligence and measures of brain size is poorly understood, and evolutionary affinity does not always ensure behavioral similarity. Moreover, the view that nonhuman primates are the animals most like ourselves coexists uneasily in our minds with the equally pervasive view that primates differ fundamentally from us because they lack language; lacking language, they also lack many of the capacities necessary for reasoning and abstract thought. (Cheney & Seyfarth, 1990, p. 4)Few constructs are asked to serve as many functions in psychology as is the construct of human intelligence.... Consider four of the main functions addressed in theory and research on intelligence, and how they differ from one another.1. Biological. This type of account looks at biological processes. To qualify as a useful biological construct, intelligence should be a biochemical or biophysical process or at least somehow a resultant of biochemical or biophysical processes.2. Cognitive approaches. This type of account looks at molar cognitive representations and processes. To qualify as a useful mental construct, intelligence should be specifiable as a set of mental representations and processes that are identifiable through experimental, mathematical, or computational means.3. Contextual approaches. To qualify as a useful contextual construct, intelligence should be a source of individual differences in accomplishments in "real-world" performances. It is not enough just to account for performance in the laboratory. On [sic] the contextual view, what a person does in the lab may not even remotely resemble what the person would do outside it. Moreover, different cultures may have different conceptions of intelligence, which affect what would count as intelligent in one cultural context versus another.4. Systems approaches. Systems approaches attempt to understand intelligence through the interaction of cognition with context. They attempt to establish a link between the two levels of analysis, and to analyze what forms this link takes. (Sternberg, 1994, pp. 263-264)High but not the highest intelligence, combined with the greatest degrees of persistence, will achieve greater eminence than the highest degree of intelligence with somewhat less persistence. (Cox, 1926, p. 187)There are no definitive criteria of intelligence, just as there are none for chairness; it is a fuzzy-edged concept to which many features are relevant. Two people may both be quite intelligent and yet have very few traits in common-they resemble the prototype along different dimensions.... [Intelligence] is a resemblance between two individuals, one real and the other prototypical. (Neisser, 1979, p. 185)Given the complementary strengths and weaknesses of the differential and information-processing approaches, it should be possible, at least in theory, to synthesise an approach that would capitalise upon the strength of each approach, and thereby share the weakness of neither. (Sternberg, 1977, p. 65)Historical dictionary of quotations in cognitive science > Intelligence
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17 process
['prəuses, ]( American[) 'pro-] 1. noun1) (a method or way of manufacturing things: We are using a new process to make glass.) metode2) (a series of events that produce change or development: The process of growing up can be difficult for a child; the digestive processes.) forløb; -forløb; proces; -proces3) (a course of action undertaken: Carrying him down the mountain was a slow process.) proces2. verb(to deal with (something) by the appropriate process: Have your photographs been processed?; The information is being processed by computer.) fremkalde; behandle- in the process of* * *['prəuses, ]( American[) 'pro-] 1. noun1) (a method or way of manufacturing things: We are using a new process to make glass.) metode2) (a series of events that produce change or development: The process of growing up can be difficult for a child; the digestive processes.) forløb; -forløb; proces; -proces3) (a course of action undertaken: Carrying him down the mountain was a slow process.) proces2. verb(to deal with (something) by the appropriate process: Have your photographs been processed?; The information is being processed by computer.) fremkalde; behandle- in the process of -
18 innovation
Gen Mgtthe creation, development, and implementation of a new product, process, or service, with the aim of improving efficiency, effectiveness, or competitive advantage. Innovation may apply to products, services, manufacturing processes, managerial processes, or the design of an organization. It is most often viewed at a product, or process level, where product innovation satisfies a customer’s needs, and process innovation improves efficiency and effectiveness. Innovation is linked with creativity and the creation of new ideas, and involves taking those new ideas and turning them into reality through invention, research, and new product development. -
19 Ives, Frederic Eugene
SUBJECT AREA: Photography, film and optics[br]b. 17 February 1856 Litchfield, Connecticut, USAd. 27 May 1937 Philadelphia, Pennsylvania, USA[br]American printer who pioneered the development of photomechanical and colour photographic processes.[br]Ives trained as a printer in Ithaca, New York, and became official photographer at Cornell University at the age of 18. His research into photomechanical processes led in 1886 to methods of making halftone reproduction of photographs using crossline screens. In 1881 he was the first to make a three-colour print from relief halftone blocks. He made significant contributions to the early development of colour photography, and from 1888 he published and marketed a number of systems for the production of additive colour photographs. He designed a beam-splitting camera in which a single lens exposed three negatives through red, green and blue filters. Black and white transparencies from these negatives were viewed in a device fitted with internal reflectors and filters, which combined the three colour separations into one full-colour image. This device was marketed in 1895 under the name Kromskop; sets of Kromograms were available commercially, and special cameras, or adaptors for conventional cameras, were available for photographers who wished to take their own colour pictures. A Lantern Kromskop was available for the projection of Kromskop pictures. Ives's system enjoyed a few years of commercial success before simpler methods of making colour photographs rendered it obsolete. Ives continued research into colour photography; his later achievements included the design, in 1915, of the Hicro process, in which a simple camera produced sets of separation negatives that could be printed as dyed transparencies in complementary colours and assembled in register on paper to produce colour prints. Later, in 1932, he introduced Polychrome, a simpler, two-colour process in which a bipack of two thin negative plates or films could be exposed in conventional cameras. Ives's interest extended into other fields, notably stereoscopy. He developed a successful parallax stereogram process in 1903, in which a three-dimensional image could be seen directly, without the use of viewing devices. In his lifetime he received many honours, and was a recipient of the Royal Photographic Society's Progress Medal in 1903 for his work in colour photography.[br]Further ReadingB.Coe, 1978, Colour Photography: The First Hundred Years, London J.S.Friedman, 1944, History of Colour Photography, Boston. G.Koshofer, 1981, Farbfotografie, Vol. I, Munich.E.J.Wall, 1925, The History of Three-Colour Photography, Boston.BC -
20 Rammler, Erich
[br]b. 9 July 1901 Tirpersdorf, near Oelsnitz, Germanyd. 6 November 1986 Freiberg, Saxony, Germany[br]German mining engineer, developer of metallurgic coke from lignite.[br]A scholar of the Mining Academy in Freiberg, who in his dissertation dealt with the fineness of coal dust, Rammler started experiments in 1925 relating to firing this material. In the USA this process, based on coal, had turned out to be very effective in large boiler furnaces. Rammler endeavoured to apply the process to lignite and pursued general research work on various thermochemical problems as well as methods of grinding and classifying. As producing power from lignite was of specific interest for the young Soviet Union, with its large demand from its new power stations and its as-yet unexploited lignite deposits, he soon came into contact with the Soviet authorities. In his laboratory in Dresden, which he had bought from the freelance metallurgist Paul Otto Rosin after his emigration and under whom he had been working since he left the Academy, he continued his studies in refining coal and soon gained an international reputation. He opened up means of producing coke from lignite for use in metallurgical processes.His later work was of utmost importance after the Second World War when several countries in Eastern Europe, especially East Germany with its large lignite deposits, established their own iron and steel industries. Accordingly, the Soviet administration supported his experiments vigorously after he joined Karl Kegel's Institute for Briquetting in Freiberg in 1945. Through his numerous books and articles, he became the internationally leading expert on refining lignite and Kegel's successor as head of the Institute and Professor at the Bergakademie. Six years later, he produced for the first time high-temperature coke from lignite low in ash and sulphur for smelting in low-shaft furnaces. Rammler was widely honoured and contributed decisively to the industrial development of his country; he demonstrated new technological processes when, under austere conditions, economical and ecological considerations were neglected.[br]BibliographyRammler, whose list of publications comprises more than 600 titles on various matters of his main scientific concern, also was the co-author (with E.Wächtler) of two articles on the development of briquetting brown coal in Germany, both published in 1985, Freiberger Forschungshefte, D 163 and D 169, Leipzig.Further ReadingE.Wächtler, W.Mühlfriedel and W.Michel, 1976, Erich Rammler, Leipzig, (substantial biography, although packed with communist propaganda).M.Rasch, 1989, "Paul Rosin—Ingenieur, Hochschullehrer und Rationalisierungsfachmann". Technikgeschichte 56:101–32 (describes the framework within which Rammler's primary research developed).WK
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