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1 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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2 Language
Philosophy is written in that great book, the universe, which is always open, right before our eyes. But one cannot understand this book without first learning to understand the language and to know the characters in which it is written. It is written in the language of mathematics, and the characters are triangles, circles, and other figures. Without these, one cannot understand a single word of it, and just wanders in a dark labyrinth. (Galileo, 1990, p. 232)It never happens that it [a nonhuman animal] arranges its speech in various ways in order to reply appropriately to everything that may be said in its presence, as even the lowest type of man can do. (Descartes, 1970a, p. 116)It is a very remarkable fact that there are none so depraved and stupid, without even excepting idiots, that they cannot arrange different words together, forming of them a statement by which they make known their thoughts; while, on the other hand, there is no other animal, however perfect and fortunately circumstanced it may be, which can do the same. (Descartes, 1967, p. 116)Human beings do not live in the object world alone, nor alone in the world of social activity as ordinarily understood, but are very much at the mercy of the particular language which has become the medium of expression for their society. It is quite an illusion to imagine that one adjusts to reality essentially without the use of language and that language is merely an incidental means of solving specific problems of communication or reflection. The fact of the matter is that the "real world" is to a large extent unconsciously built on the language habits of the group.... We see and hear and otherwise experience very largely as we do because the language habits of our community predispose certain choices of interpretation. (Sapir, 1921, p. 75)It powerfully conditions all our thinking about social problems and processes.... No two languages are ever sufficiently similar to be considered as representing the same social reality. The worlds in which different societies live are distinct worlds, not merely the same worlds with different labels attached. (Sapir, 1985, p. 162)[A list of language games, not meant to be exhaustive:]Giving orders, and obeying them- Describing the appearance of an object, or giving its measurements- Constructing an object from a description (a drawing)Reporting an eventSpeculating about an eventForming and testing a hypothesisPresenting the results of an experiment in tables and diagramsMaking up a story; and reading itPlay actingSinging catchesGuessing riddlesMaking a joke; and telling itSolving a problem in practical arithmeticTranslating from one language into anotherLANGUAGE Asking, thanking, cursing, greeting, and praying-. (Wittgenstein, 1953, Pt. I, No. 23, pp. 11 e-12 e)We dissect nature along lines laid down by our native languages.... The world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... No individual is free to describe nature with absolute impartiality but is constrained to certain modes of interpretation even while he thinks himself most free. (Whorf, 1956, pp. 153, 213-214)We dissect nature along the lines laid down by our native languages.The categories and types that we isolate from the world of phenomena we do not find there because they stare every observer in the face; on the contrary, the world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... We are thus introduced to a new principle of relativity, which holds that all observers are not led by the same physical evidence to the same picture of the universe, unless their linguistic backgrounds are similar or can in some way be calibrated. (Whorf, 1956, pp. 213-214)9) The Forms of a Person's Thoughts Are Controlled by Unperceived Patterns of His Own LanguageThe forms of a person's thoughts are controlled by inexorable laws of pattern of which he is unconscious. These patterns are the unperceived intricate systematizations of his own language-shown readily enough by a candid comparison and contrast with other languages, especially those of a different linguistic family. (Whorf, 1956, p. 252)It has come to be commonly held that many utterances which look like statements are either not intended at all, or only intended in part, to record or impart straightforward information about the facts.... Many traditional philosophical perplexities have arisen through a mistake-the mistake of taking as straightforward statements of fact utterances which are either (in interesting non-grammatical ways) nonsensical or else intended as something quite different. (Austin, 1962, pp. 2-3)In general, one might define a complex of semantic components connected by logical constants as a concept. The dictionary of a language is then a system of concepts in which a phonological form and certain syntactic and morphological characteristics are assigned to each concept. This system of concepts is structured by several types of relations. It is supplemented, furthermore, by redundancy or implicational rules..., representing general properties of the whole system of concepts.... At least a relevant part of these general rules is not bound to particular languages, but represents presumably universal structures of natural languages. They are not learned, but are rather a part of the human ability to acquire an arbitrary natural language. (Bierwisch, 1970, pp. 171-172)In studying the evolution of mind, we cannot guess to what extent there are physically possible alternatives to, say, transformational generative grammar, for an organism meeting certain other physical conditions characteristic of humans. Conceivably, there are none-or very few-in which case talk about evolution of the language capacity is beside the point. (Chomsky, 1972, p. 98)[It is] truth value rather than syntactic well-formedness that chiefly governs explicit verbal reinforcement by parents-which renders mildly paradoxical the fact that the usual product of such a training schedule is an adult whose speech is highly grammatical but not notably truthful. (R. O. Brown, 1973, p. 330)he conceptual base is responsible for formally representing the concepts underlying an utterance.... A given word in a language may or may not have one or more concepts underlying it.... On the sentential level, the utterances of a given language are encoded within a syntactic structure of that language. The basic construction of the sentential level is the sentence.The next highest level... is the conceptual level. We call the basic construction of this level the conceptualization. A conceptualization consists of concepts and certain relations among those concepts. We can consider that both levels exist at the same point in time and that for any unit on one level, some corresponding realizate exists on the other level. This realizate may be null or extremely complex.... Conceptualizations may relate to other conceptualizations by nesting or other specified relationships. (Schank, 1973, pp. 191-192)The mathematics of multi-dimensional interactive spaces and lattices, the projection of "computer behavior" on to possible models of cerebral functions, the theoretical and mechanical investigation of artificial intelligence, are producing a stream of sophisticated, often suggestive ideas.But it is, I believe, fair to say that nothing put forward until now in either theoretic design or mechanical mimicry comes even remotely in reach of the most rudimentary linguistic realities. (Steiner, 1975, p. 284)The step from the simple tool to the master tool, a tool to make tools (what we would now call a machine tool), seems to me indeed to parallel the final step to human language, which I call reconstitution. It expresses in a practical and social context the same understanding of hierarchy, and shows the same analysis by function as a basis for synthesis. (Bronowski, 1977, pp. 127-128)t is the language donn eґ in which we conduct our lives.... We have no other. And the danger is that formal linguistic models, in their loosely argued analogy with the axiomatic structure of the mathematical sciences, may block perception.... It is quite conceivable that, in language, continuous induction from simple, elemental units to more complex, realistic forms is not justified. The extent and formal "undecidability" of context-and every linguistic particle above the level of the phoneme is context-bound-may make it impossible, except in the most abstract, meta-linguistic sense, to pass from "pro-verbs," "kernals," or "deep deep structures" to actual speech. (Steiner, 1975, pp. 111-113)A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)Jakobson sees metaphor and metonymy as the characteristic modes of binarily opposed polarities which between them underpin the two-fold process of selection and combination by which linguistic signs are formed.... Thus messages are constructed, as Saussure said, by a combination of a "horizontal" movement, which combines words together, and a "vertical" movement, which selects the particular words from the available inventory or "inner storehouse" of the language. The combinative (or syntagmatic) process manifests itself in contiguity (one word being placed next to another) and its mode is metonymic. The selective (or associative) process manifests itself in similarity (one word or concept being "like" another) and its mode is metaphoric. The "opposition" of metaphor and metonymy therefore may be said to represent in effect the essence of the total opposition between the synchronic mode of language (its immediate, coexistent, "vertical" relationships) and its diachronic mode (its sequential, successive, lineal progressive relationships). (Hawkes, 1977, pp. 77-78)It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)First, [an ideal intertheoretic reduction] provides us with a set of rules"correspondence rules" or "bridge laws," as the standard vernacular has it-which effect a mapping of the terms of the old theory (T o) onto a subset of the expressions of the new or reducing theory (T n). These rules guide the application of those selected expressions of T n in the following way: we are free to make singular applications of their correspondencerule doppelgangers in T o....Second, and equally important, a successful reduction ideally has the outcome that, under the term mapping effected by the correspondence rules, the central principles of T o (those of semantic and systematic importance) are mapped onto general sentences of T n that are theorems of Tn. (P. Churchland, 1979, p. 81)If non-linguistic factors must be included in grammar: beliefs, attitudes, etc. [this would] amount to a rejection of the initial idealization of language as an object of study. A priori such a move cannot be ruled out, but it must be empirically motivated. If it proves to be correct, I would conclude that language is a chaos that is not worth studying.... Note that the question is not whether beliefs or attitudes, and so on, play a role in linguistic behavior and linguistic judgments... [but rather] whether distinct cognitive structures can be identified, which interact in the real use of language and linguistic judgments, the grammatical system being one of these. (Chomsky, 1979, pp. 140, 152-153)23) Language Is Inevitably Influenced by Specific Contexts of Human InteractionLanguage cannot be studied in isolation from the investigation of "rationality." It cannot afford to neglect our everyday assumptions concerning the total behavior of a reasonable person.... An integrational linguistics must recognize that human beings inhabit a communicational space which is not neatly compartmentalized into language and nonlanguage.... It renounces in advance the possibility of setting up systems of forms and meanings which will "account for" a central core of linguistic behavior irrespective of the situation and communicational purposes involved. (Harris, 1981, p. 165)By innate [linguistic knowledge], Chomsky simply means "genetically programmed." He does not literally think that children are born with language in their heads ready to be spoken. He merely claims that a "blueprint is there, which is brought into use when the child reaches a certain point in her general development. With the help of this blueprint, she analyzes the language she hears around her more readily than she would if she were totally unprepared for the strange gabbling sounds which emerge from human mouths. (Aitchison, 1987, p. 31)Looking at ourselves from the computer viewpoint, we cannot avoid seeing that natural language is our most important "programming language." This means that a vast portion of our knowledge and activity is, for us, best communicated and understood in our natural language.... One could say that natural language was our first great original artifact and, since, as we increasingly realize, languages are machines, so natural language, with our brains to run it, was our primal invention of the universal computer. One could say this except for the sneaking suspicion that language isn't something we invented but something we became, not something we constructed but something in which we created, and recreated, ourselves. (Leiber, 1991, p. 8)Historical dictionary of quotations in cognitive science > Language
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3 Cognitive Science
The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense.... [P]eople and intelligent computers turn out to be merely different manifestations of the same underlying phenomenon. (Haugeland, 1981b, p. 31)2) Experimental Psychology, Theoretical Linguistics, and Computational Simulation of Cognitive Processes Are All Components of Cognitive ScienceI went away from the Symposium with a strong conviction, more intuitive than rational, that human experimental psychology, theoretical linguistics, and computer simulation of cognitive processes were all pieces of a larger whole, and that the future would see progressive elaboration and coordination of their shared concerns.... I have been working toward a cognitive science for about twenty years beginning before I knew what to call it. (G. A. Miller, 1979, p. 9)Cognitive Science studies the nature of cognition in human beings, other animals, and inanimate machines (if such a thing is possible). While computers are helpful within cognitive science, they are not essential to its being. A science of cognition could still be pursued even without these machines.Computer Science studies various kinds of problems and the use of computers to solve them, without concern for the means by which we humans might otherwise resolve them. There could be no computer science if there were no machines of this kind, because they are indispensable to its being. Artificial Intelligence is a special branch of computer science that investigates the extent to which the mental powers of human beings can be captured by means of machines.There could be cognitive science without artificial intelligence but there could be no artificial intelligence without cognitive science. One final caveat: In the case of an emerging new discipline such as cognitive science there is an almost irresistible temptation to identify the discipline itself (as a field of inquiry) with one of the theories that inspired it (such as the computational conception...). This, however, is a mistake. The field of inquiry (or "domain") stands to specific theories as questions stand to possible answers. The computational conception should properly be viewed as a research program in cognitive science, where "research programs" are answers that continue to attract followers. (Fetzer, 1996, pp. xvi-xvii)What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.The psychologist who studies "knowledge systems" wants to know how concepts are structured in the human mind, how such concepts develop, and how they are used in understanding and behavior. The artificial intelligence researcher wants to know how to program a computer so that it can understand and interact with the outside world. The two orientations intersect when the psychologist and the computer scientist agree that the best way to approach the problem of building an intelligent machine is to emulate the human conceptual mechanisms that deal with language.... The name "cognitive science" has been used to refer to this convergence of interests in psychology and artificial intelligence....This working partnership in "cognitive science" does not mean that psychologists and computer scientists are developing a single comprehensive theory in which people are no different from machines. Psychology and artificial intelligence have many points of difference in methods and goals.... We simply want to work on an important area of overlapping interest, namely a theory of knowledge systems. As it turns out, this overlap is substantial. For both people and machines, each in their own way, there is a serious problem in common of making sense out of what they hear, see, or are told about the world. The conceptual apparatus necessary to perform even a partial feat of understanding is formidable and fascinating. (Schank & Abelson, 1977, pp. 1-2)Within the last dozen years a general change in scientific outlook has occurred, consonant with the point of view represented here. One can date the change roughly from 1956: in psychology, by the appearance of Bruner, Goodnow, and Austin's Study of Thinking and George Miller's "The Magical Number Seven"; in linguistics, by Noam Chomsky's "Three Models of Language"; and in computer science, by our own paper on the Logic Theory Machine. (Newell & Simon, 1972, p. 4)Historical dictionary of quotations in cognitive science > Cognitive Science
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4 Psychology
We come therefore now to that knowledge whereunto the ancient oracle directeth us, which is the knowledge of ourselves; which deserveth the more accurate handling, by how much it toucheth us more nearly. This knowledge, as it is the end and term of natural philosophy in the intention of man, so notwithstanding it is but a portion of natural philosophy in the continent of nature.... [W]e proceed to human philosophy or Humanity, which hath two parts: the one considereth man segregate, or distributively; the other congregate, or in society. So as Human philosophy is either Simple and Particular, or Conjugate and Civil. Humanity Particular consisteth of the same parts whereof man consisteth; that is, of knowledges which respect the Body, and of knowledges that respect the Mind... how the one discloseth the other and how the one worketh upon the other... [:] the one is honored with the inquiry of Aristotle, and the other of Hippocrates. (Bacon, 1878, pp. 236-237)The claims of Psychology to rank as a distinct science are... not smaller but greater than those of any other science. If its phenomena are contemplated objectively, merely as nervo-muscular adjustments by which the higher organisms from moment to moment adapt their actions to environing co-existences and sequences, its degree of specialty, even then, entitles it to a separate place. The moment the element of feeling, or consciousness, is used to interpret nervo-muscular adjustments as thus exhibited in the living beings around, objective Psychology acquires an additional, and quite exceptional, distinction. (Spencer, 1896, p. 141)Kant once declared that psychology was incapable of ever raising itself to the rank of an exact natural science. The reasons that he gives... have often been repeated in later times. In the first place, Kant says, psychology cannot become an exact science because mathematics is inapplicable to the phenomena of the internal sense; the pure internal perception, in which mental phenomena must be constructed,-time,-has but one dimension. In the second place, however, it cannot even become an experimental science, because in it the manifold of internal observation cannot be arbitrarily varied,-still less, another thinking subject be submitted to one's experiments, comformably to the end in view; moreover, the very fact of observation means alteration of the observed object. (Wundt, 1904, p. 6)It is [Gustav] Fechner's service to have found and followed the true way; to have shown us how a "mathematical psychology" may, within certain limits, be realized in practice.... He was the first to show how Herbart's idea of an "exact psychology" might be turned to practical account. (Wundt, 1904, pp. 6-7)"Mind," "intellect," "reason," "understanding," etc. are concepts... that existed before the advent of any scientific psychology. The fact that the naive consciousness always and everywhere points to internal experience as a special source of knowledge, may, therefore, be accepted for the moment as sufficient testimony to the rights of psychology as science.... "Mind," will accordingly be the subject, to which we attribute all the separate facts of internal observation as predicates. The subject itself is determined p. 17) wholly and exclusively by its predicates. (Wundt, 1904,The study of animal psychology may be approached from two different points of view. We may set out from the notion of a kind of comparative physiology of mind, a universal history of the development of mental life in the organic world. Or we may make human psychology the principal object of investigation. Then, the expressions of mental life in animals will be taken into account only so far as they throw light upon the evolution of consciousness in man.... Human psychology... may confine itself altogether to man, and generally has done so to far too great an extent. There are plenty of psychological text-books from which you would hardly gather that there was any other conscious life than the human. (Wundt, 1907, pp. 340-341)The Behaviorist began his own formulation of the problem of psychology by sweeping aside all medieval conceptions. He dropped from his scientific vocabulary all subjective terms such as sensation, perception, image, desire, purpose, and even thinking and emotion as they were subjectively defined. (Watson, 1930, pp. 5-6)According to the medieval classification of the sciences, psychology is merely a chapter of special physics, although the most important chapter; for man is a microcosm; he is the central figure of the universe. (deWulf, 1956, p. 125)At the beginning of this century the prevailing thesis in psychology was Associationism.... Behavior proceeded by the stream of associations: each association produced its successors, and acquired new attachments with the sensations arriving from the environment.In the first decade of the century a reaction developed to this doctrine through the work of the Wurzburg school. Rejecting the notion of a completely self-determining stream of associations, it introduced the task ( Aufgabe) as a necessary factor in describing the process of thinking. The task gave direction to thought. A noteworthy innovation of the Wurzburg school was the use of systematic introspection to shed light on the thinking process and the contents of consciousness. The result was a blend of mechanics and phenomenalism, which gave rise in turn to two divergent antitheses, Behaviorism and the Gestalt movement. The behavioristic reaction insisted that introspection was a highly unstable, subjective procedure.... Behaviorism reformulated the task of psychology as one of explaining the response of organisms as a function of the stimuli impinging upon them and measuring both objectively. However, Behaviorism accepted, and indeed reinforced, the mechanistic assumption that the connections between stimulus and response were formed and maintained as simple, determinate functions of the environment.The Gestalt reaction took an opposite turn. It rejected the mechanistic nature of the associationist doctrine but maintained the value of phenomenal observation. In many ways it continued the Wurzburg school's insistence that thinking was more than association-thinking has direction given to it by the task or by the set of the subject. Gestalt psychology elaborated this doctrine in genuinely new ways in terms of holistic principles of organization.Today psychology lives in a state of relatively stable tension between the poles of Behaviorism and Gestalt psychology.... (Newell & Simon, 1963, pp. 279-280)As I examine the fate of our oppositions, looking at those already in existence as guide to how they fare and shape the course of science, it seems to me that clarity is never achieved. Matters simply become muddier and muddier as we go down through time. Thus, far from providing the rungs of a ladder by which psychology gradually climbs to clarity, this form of conceptual structure leads rather to an ever increasing pile of issues, which we weary of or become diverted from, but never really settle. (Newell, 1973b, pp. 288-289)The subject matter of psychology is as old as reflection. Its broad practical aims are as dated as human societies. Human beings, in any period, have not been indifferent to the validity of their knowledge, unconcerned with the causes of their behavior or that of their prey and predators. Our distant ancestors, no less than we, wrestled with the problems of social organization, child rearing, competition, authority, individual differences, personal safety. Solving these problems required insights-no matter how untutored-into the psychological dimensions of life. Thus, if we are to follow the convention of treating psychology as a young discipline, we must have in mind something other than its subject matter. We must mean that it is young in the sense that physics was young at the time of Archimedes or in the sense that geometry was "founded" by Euclid and "fathered" by Thales. Sailing vessels were launched long before Archimedes discovered the laws of bouyancy [ sic], and pillars of identical circumference were constructed before anyone knew that C IID. We do not consider the ship builders and stone cutters of antiquity physicists and geometers. Nor were the ancient cave dwellers psychologists merely because they rewarded the good conduct of their children. The archives of folk wisdom contain a remarkable collection of achievements, but craft-no matter how perfected-is not science, nor is a litany of successful accidents a discipline. If psychology is young, it is young as a scientific discipline but it is far from clear that psychology has attained this status. (Robinson, 1986, p. 12)Historical dictionary of quotations in cognitive science > Psychology
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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). The psychology of computer vision. New York: McGrawHill.■ Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.■ Wittgenstein, L. (1958). The blue and brown books. New York: Harper Colophon.■ Woods, W. A. (1975). What's in a link: Foundations for semantic networks. In D. G. Bobrow & A. Collins (Eds.), Representations and understanding: Studies in cognitive science (pp. 35-84). New York: Academic Press.■ Woodworth, R. S. (1938). Experimental psychology. New York: Holt; London: Methuen (1939).■ Wundt, W. (1904). Principles of physiological psychology (Vol. 1). E. B. Titchener (Trans.). New York: Macmillan.■ Wundt, W. (1907). Lectures on human and animal psychology. J. E. Creighton & E. B. Titchener (Trans.). New York: Macmillan.■ Young, J. Z. (1978). Programs of the brain. New York: Oxford University Press.■ Ziman, J. (1978). Reliable knowledge: An exploration of the grounds for belief in science. Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
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6 man
1. noun, pl. menwhat can a man do? — was kann man tun?
every man for himself — rette sich, wer kann
any man who... — wer...; jeder, der...
[all] to a man — allesamt
the man in or (Amer.) on the street — der Mann auf der Straße
the rights of man — die Menschenrechte
2) (adult male, individual male) Mann, derevery man, woman, and child — ausnahmslos jeder od. alle
the [very] man for something — der richtige Mann od. der Richtige für etwas
make a man out of somebody — (fig.) einen Mann aus jemandem machen
a man of property/great strength — ein vermögender/sehr kräftiger Mann
men's clothing/outfitter — Herrenkleidung, die/Herrenausstatter, der
be man enough to... — Manns genug sein, um zu...
something sorts out or separates the men from the boys — (coll.) an etwas (Dat.) zeigt sich, wer ein ganzer Kerl ist und wer nicht
be one's own man — seine eigenen Vorstellungen haben
men's toilet — Herrentoilette, die
‘Men’ — "Herren"
my [good] man — mein Guter
3) (husband) Mann, dera man of the people/world/of action — ein Mann des Volkes/von Welt/der Tat
7) (manservant) Diener, der2. transitive verb,- nn- bemannen [Schiff, Spill]; besetzen [Büro, Stelle usw.]; bedienen [Telefon, Geschütz]; [Soldaten:] Stellung beziehen in (+ Dat.) [Festung]; mit Personal besetzen [Fabrik]* * *[mæn] 1. plural - men; noun2) (human beings taken as a whole; the human race: the development of man.) der Mensch3) (obviously masculine male person: He's independent, tough, strong, brave - a real man!) der Mann4) (a word sometimes used in speaking informally or giving commands to someone: Get on with your work, man, and stop complaining!) Mensch!5) (an ordinary soldier, who is not an officer: officers and men.) der Soldat6) (a piece used in playing chess or draughts: I took three of his men in one move.) die Figur2. verb(to supply with men (especially soldiers): The colonel manned the guns with soldiers from our regiment.) bemannen- academic.ru/114908/-man">-man- manhood
- mankind
- manly
- manliness
- manned
- man-eating
- man-eater
- manhandle
- manhole
- man-made
- manpower
- manservant
- mansized
- mansize
- manslaughter
- menfolk
- menswear
- as one man
- the man in the street
- man of letters
- man of the world
- man to man
- to a man* * *[mæn]I. n<pl men>\man's bicycle Herrenfahrrad ntmen's clothing Herrenkleidung fmen's shoes/gloves Herrenschuhe/-handschuhe plthe men in [grey] suits die so genannten Herren im grauen Anzug (gesichtslose, aber einflussreiche Geschäftsleute)a \man-to- \man talk ein Gespräch nt unter Männerna \man's voice eine Männerstimme [o männliche Stimme]to be a \man's \man sich nur in männlicher Gesellschaft wohl fühlen\man to \man von Mann zu Mannto talk [as] \man to \man offen [o ein offenes Wort] miteinander redenbe [or act like] a \man! sei ein Mann!to be \man enough [to do sth] Manns genug sein[, etw zu tun]to be only half a \man nur ein halber Mann seinto make a \man [out] of sb einen Mann aus jdm machensth separates [or sorts out] the men from the boys ( fam) an etw dat zeigt sich, wer ein ganzer Kerlto take sth like a \man etw wie ein [richtiger] Mann ertragenall men are equal alle Menschen sind gleich\man overboard! Mann über Bord!our \man in Washington unser Mann in Washingtona \man could do a lot with 20,000 euros mit 20.000 Euro könnte man viel anfangento be sb's right-hand \man jds rechte Hand seinto be one's own \man sein eigener Herr seinas one \man wie ein Mannas one \man, the delegates made for the exit geschlossen gingen die Delegierten hinausto a \man, we were enthusiastic about the idea wir waren allesamt begeistert von der Ideethis is one of the most dangerous substances known to \man das ist eine der gefährlichsten Substanzen, die bisher bekannt sindthe dog is \man's best friend der Hund ist des Menschen bester FreundHeidelberg \man der Heidelbergmenschthe rights of \man die Menschenrechte5. (particular type)he is a \man of his word er ist jemand, der zu seinem Wort steht, er steht zu seinem Worthe's not a \man to... er ist nicht der Mensch [o Typ], der...she's the right/wrong \man for the job sie ist die Richtige/Falsche für diesen Jobif you're looking for an expert he's your \man wenn Sie einen Fachmann suchen, ist er genau der Richtige [für Sie]you've come to the right \man da sind Sie bei mir richtighe's not a drinking \man er ist kein großer TrinkerI'm not a gambling \man ich mache mir nichts aus GlücksspielenIan is an Oxford \man (is from) Ian kommt aus Oxford; (attended university) Ian hat in Oxford studierthe's a loyal Labour \man er ist ein treuer Anhänger der Labour-ParteiBilly is a \man about town Billy weiß immer, was in der Stadt so los istto be a \man of action ein Mann der Tat seina \man of the cloth ein Mann m Gottesa \man Friday ein treuer Helferto be a family \man ein Familienmensch m seinthe \man of the house der Herr des Hausesto be a ladies' \man ein Charmeur m [o Frauenheld m] seinthe \man of the match BRIT SPORT der Held des Tagesto be \man of the moment der richtige Mann am richtigen Ort seinthe \man in the moon der Mann im Mondto be a \man of the people ein Mann m des Volkes seinto be a \man of straw ein Hochstapler m seinthe \man in the street der kleine Mannto be a \man of the world ein Mann m von Welt seinthe inner \man das Innerethe odd \man out der Außenseiterhe is the odd \man out of the three because... er ist der Außenseiter unter den dreien, weil...6. (soldier, worker)the expedition was made up of 100 officers and men die Expedition bestand aus 100 Offizieren und einfachen Soldatengive me that, \man! gib das her, Mann! fammy good \man! mein lieber Mann! famhey, old \man! he, alter Junge! famto live as \man and wife wie Mann und Frau zusammenleben▪ the \man (the boss) der Boss fam; (white people) die Weißen pl; (the police) die Bullen pl pej fam12.▶ \man's best friend der beste Freund des MenschenII. interj ( fam: to emphasize) Mensch fam, Mann fam; (in enthusiasm) Mann fam, Manometer fam; (in anger) Mann fam; (complaining) Menno Kindersprache, na geh' ÖSTERR KinderspracheIII. vt<- nn->1. (be present)\man the pumps! alle Mann an die Pumpen!to \man the barricades/a fortress die Barrikaden/eine Festung besetzento \man a gun/phone ein Geschütz/Telefon bedienen2. (staff)to \man a fortress/a picket eine Stellung/einen Streikposten besetzento \man a ship ein Schiff bemannen* * *[mn]1. n pl men1) (= adult male) Mann mthis incident made a man out of him — dieses Ereignis hat ihn zum Mann gemacht
I'm only half a man without you — ohne dich bin ich nur ein halber Mensch
he took it like a man — er hat es wie ein Mann or mannhaft ertragen
man and boy — von Kindheit/Jugend an
the man in the street — der Mann auf der Straße, der kleine Mann
man of God — Mann m Gottes
he used to be something of a man about town (Brit) — er hatte früher ein reges gesellschaftliches Leben
a man of the world — ein Mann m von Welt
as one man to another —
well done, that man! — gut gemacht, alter Junge! (inf)
to be man enough (to do sth) — Manns genug sein(, etw zu tun)
man's bicycle/jacket — Herrenfahrrad nt/-jacke
old man (dated) — alter Junge (dated) or Knabe (dated)
See:→ good2) (= human race also Man) der Mensch, die Menschen3) (= person) manno man — keiner, niemand
any man who believes that... — wer das glaubt,...
that man Jones —
as one man — geschlossen, wie ein Mann
4)(= type)
the right/wrong man — der Richtige/Falscheyou've come to the right man — da sind or liegen (inf) Sie bei mir richtig
he's not the man to make a mistake like that — so etwas würde ihm bestimmt nicht passieren
he's not a man to... — er ist nicht der Typ, der...
it's got to be a local man — es muss jemand von hier or aus dieser Gegend sein
he's a leg/tit man (inf) — er steht bei Frauen vor allem auf Beine/Titten (inf)
you can't do that, man — Mensch or Mann, das kannst du doch nicht machen!
fantastic, man! see you, man! — klasse, Mann! (inf) bis später
are you coming with us, man? — du, kommst du noch mit?
she has a man to do the garden — sie hat jemanden, der den Garten macht
follow me, men! — mir nach, Leute!
2. vtship bemannen; fortress, barricades, checkpoint besetzen; power station, pump, gun, telephone etc bedienen; pickets bewachena fully manned ship —
he left 10 soldiers behind to man the fortress man the guns/pumps! — er ließ 10 Soldaten als Besatzung für die Festung zurück an die Geschütze/Pumpen!
the captain gave the signal to man the guns — der Kapitän gab das Zeichen zur Besetzung der Geschütze
* * *man [mæn]A pl men [men] s1. Mensch mthe rights of man die Menschenrechte;the history of man die Menschheitsgeschichte3. Mann m:is your doctor a man or a woman? haben Sie einen Arzt od eine Ärztin?;man about town Lebemann;the man in (US a. on) the street der Mann auf der Straße, der Durchschnittsbürger, der gewöhnliche Sterbliche;a) Faktotum n,b) Allerweltskerl m;man of God Diener m Gottes;man of hono(u)r Ehrenmann;man of straw fig Strohmann;a) Mann von Welt,b) Mann mit (sexueller) Erfahrung;he is a man of his word er steht zu seinem Wort;he is an Oxford man er hat in Oxford studiert;I have known him man and boy ich kenne ihn schon von Jugend auf;be one’s own man sein eigener Herr sein;he spoke to him as one man to another er sprach mit ihm von Mann zu Mann;the man Smith (besagter oder dieser) Smith;a man and a brother Br umg ein patenter Kerl;my good man! iron mein lieber Herr!;be man enough to do sth Manns genug sein, etwas zu tun;a five-man move (besonders Fußball) eine Kombination über fünf Stationen; → action 1, inner man, letter1 A 5 c, mark1 B 14 a4. weitS.a) Mann m, Person fb) jemandc) man:as a man als Mensch (schlechthin);a) irgendjemand,b) jedermann;be any man’s money für Geld (fast) alles tun;every man jeder(mann);few men nur wenige (Menschen);no man niemand;50 p per man 50 Pence pro Person oder Mann;what can a man do in such a case? was kann man da schon machen?;give a man a chance einem eine Chance geben;the Man US sla) der Weiße,b) das ( besonders weiße) Establishment,5. Mann m:as one man wie ein Mann, geschlossen;on this question they were as one man in dieser Frage waren sich alle einig;man by man Mann für Mann, einer nach dem anderen;to a man bis auf den letzten Mann;man on! SPORT Hintermann!6. (Ehe)Mann m:man and wife Mann und Frauif you want a guide, he is your man;I am your man! ich bin Ihr Mann!;he is not the man to do it er ist nicht der richtige Mann dafürbe a man! sei ein Mann!, reiß dich zusammen!9. koll die Männer pl, der Mann10. a) Diener mb) Angestellte(r) mc) Arbeiter m:11. MIL Mann m:a) Soldat mb) Matrose mc) pl Mannschaft f:man on leave Urlauber m;20 men zwanzig Mann12. (als int) auch man alive! Mensch!, Menschenskind!, Mann!:hurry up, man! Mensch, beeil dich!13. HIST Lehnsmann m, Untertan mB v/t1. SCHIFF, MILa) ein Schiff etc bemannen:b) eine Festung etc besetzen:2. einen Arbeitsplatz etc besetzen3. fig jemanden stärken:man o.s. sich ermannen oder aufraffen* * *1. noun, pl. menevery man for himself — rette sich, wer kann
any man who... — wer...; jeder, der...
[all] to a man — allesamt
the man in or (Amer.) on the street — der Mann auf der Straße
2) (adult male, individual male) Mann, derevery man, woman, and child — ausnahmslos jeder od. alle
the [very] man for something — der richtige Mann od. der Richtige für etwas
make a man out of somebody — (fig.) einen Mann aus jemandem machen
a man of property/great strength — ein vermögender/sehr kräftiger Mann
men's clothing/outfitter — Herrenkleidung, die/Herrenausstatter, der
be man enough to... — Manns genug sein, um zu...
something sorts out or separates the men from the boys — (coll.) an etwas (Dat.) zeigt sich, wer ein ganzer Kerl ist und wer nicht
men's toilet — Herrentoilette, die
‘Men’ — "Herren"
my [good] man — mein Guter
3) (husband) Mann, der5) (coll.): (as int. of surprise or impatience, as mode of address) Mensch! (salopp)a man of the people/world/of action — ein Mann des Volkes/von Welt/der Tat
7) (manservant) Diener, der2. transitive verb,- nn- bemannen [Schiff, Spill]; besetzen [Büro, Stelle usw.]; bedienen [Telefon, Geschütz]; [Soldaten:] Stellung beziehen in (+ Dat.) [Festung]; mit Personal besetzen [Fabrik]* * *n.(§ pl.: men)= Mann ¨-- m.Mannsbild n. -
7 Information Processing
The term "information processing" originated in the late fifties in the computer field as a general descriptive term that seemed somewhat less contingent and parochial than "computer science," which also came into use during the same period. Thus, it was the name of choice for two of the encompassing professional organizations formed at the time: the In ternational Federation of Information Processing Societies and the American Federation of Information Processing Societies. Although the transfer of the phrase from activities of computers to parallel activities of human beings undoubtedly occurred independently in a number of heads, the term was originally identified pretty closely with computer simulation of cognitive processes... ; that is, with the kind of effort from which arose the theory in this book. (Newell & Simon, 1972, p. 888)It was because the activities of the computer itself seemed in some ways akin to cognitive processes. Computers accept information, manipulate symbols, store items in "memory" and retrieve them again, classify inputs, recognize patterns and so on.... Indeed the assumptions that underlie most contemporary work on information processing are surprisingly like those of nineteenth century introspective psychology, though without introspection itself. (Neisser, 1976, pp. 5, 7)The processor was assumed to be rational, and attention was directed to the logical nature of problem solving strategies. The "mature western mind" was presumed to be one that, in abstracting knowledge from the idosyncracies of particular everyday experience, employed Aristotelian laws of logic. When applied to categories, this meant that to know a category was to have an abstracted clear-cut, necessary, and sufficient criteria for category membership. If other thought processes, such as imagery, ostensive definition, reasoning by analogy to particular instances, or the use of metaphors were considered at all, they were usually relegated to lesser beings such as women, children, primitive people, or even to nonhumans. (Rosch & Lloyd, 1978, p. 2)Historical dictionary of quotations in cognitive science > Information Processing
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8 Logic
My initial step... was to attempt to reduce the concept of ordering in a sequence to that of logical consequence, so as to proceed from there to the concept of number. To prevent anything intuitive from penetrating here unnoticed, I had to bend every effort to keep the chain of inference free of gaps. In attempting to comply with this requirement in the strictest possible way, I found the inadequacy of language to be an obstacle. (Frege, 1972, p. 104)I believe I can make the relation of my 'conceptual notation' to ordinary language clearest if I compare it to the relation of the microscope to the eye. The latter, because of the range of its applicability and because of the ease with which it can adapt itself to the most varied circumstances, has a great superiority over the microscope. Of course, viewed as an optical instrument it reveals many imperfections, which usually remain unnoticed only because of its intimate connection with mental life. But as soon as scientific purposes place strong requirements upon sharpness of resolution, the eye proves to be inadequate.... Similarly, this 'conceptual notation' is devised for particular scientific purposes; and therefore one may not condemn it because it is useless for other purposes. (Frege, 1972, pp. 104-105)To sum up briefly, it is the business of the logician to conduct an unceasing struggle against psychology and those parts of language and grammar which fail to give untrammeled expression to what is logical. He does not have to answer the question: How does thinking normally take place in human beings? What course does it naturally follow in the human mind? What is natural to one person may well be unnatural to another. (Frege, 1979, pp. 6-7)We are very dependent on external aids in our thinking, and there is no doubt that the language of everyday life-so far, at least, as a certain area of discourse is concerned-had first to be replaced by a more sophisticated instrument, before certain distinctions could be noticed. But so far the academic world has, for the most part, disdained to master this instrument. (Frege, 1979, pp. 6-7)There is no reproach the logician need fear less than the reproach that his way of formulating things is unnatural.... If we were to heed those who object that logic is unnatural, we would run the risk of becoming embroiled in interminable disputes about what is natural, disputes which are quite incapable of being resolved within the province of logic. (Frege, 1979, p. 128)[L]inguists will be forced, internally as it were, to come to grips with the results of modern logic. Indeed, this is apparently already happening to some extent. By "logic" is not meant here recursive function-theory, California model-theory, constructive proof-theory, or even axiomatic settheory. Such areas may or may not be useful for linguistics. Rather under "logic" are included our good old friends, the homely locutions "and," "or," "if-then," "if and only if," "not," "for all x," "for some x," and "is identical with," plus the calculus of individuals, event-logic, syntax, denotational semantics, and... various parts of pragmatics.... It is to these that the linguist can most profitably turn for help. These are his tools. And they are "clean tools," to borrow a phrase of the late J. L. Austin in another context, in fact, the only really clean ones we have, so that we might as well use them as much as we can. But they constitute only what may be called "baby logic." Baby logic is to the linguist what "baby mathematics" (in the phrase of Murray Gell-Mann) is to the theoretical physicist-very elementary but indispensable domains of theory in both cases. (Martin, 1969, pp. 261-262)There appears to be no branch of deductive inference that requires us to assume the existence of a mental logic in order to do justice to the psychological phenomena. To be logical, an individual requires, not formal rules of inference, but a tacit knowledge of the fundamental semantic principle governing any inference; a deduction is valid provided that there is no way of interpreting the premises correctly that is inconsistent with the conclusion. Logic provides a systematic method for searching for such counter-examples. The empirical evidence suggests that ordinary individuals possess no such methods. (Johnson-Laird, quoted in Mehler, Walker & Garrett, 1982, p. 130)The fundamental paradox of logic [that "there is no class (as a totality) of those classes which, each taken as a totality, do not belong to themselves" (Russell to Frege, 16 June 1902, in van Heijenoort, 1967, p. 125)] is with us still, bequeathed by Russell-by way of philosophy, mathematics, and even computer science-to the whole of twentieth-century thought. Twentieth-century philosophy would begin not with a foundation for logic, as Russell had hoped in 1900, but with the discovery in 1901 that no such foundation can be laid. (Everdell, 1997, p. 184)Historical dictionary of quotations in cognitive science > Logic
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9 Wiener, Norbert
(1894-1964) Винер, НорбертМатематик. Основоположник кибернетики и математической теории связи (вместе с К. Шенноном [Shannon, Claude E.]). В 14-летнем возрасте окончил математический факультет, а в 18 лет защитил докторскую диссертацию в Гарвардском университете [ Harvard University]. С 1919 преподавал в Массачусетском технологическом институте [ Massachusetts Institute of Technology]. Работал в области математической логики, математического анализа, теории стохастических процессов, теории вероятностей. Во время второй мировой войны занимался математическим обеспечением работы радарных устройств и автоматической обработкой информации при запуске и управлении полетом ракет. Подметил принципиальное сходство процессов управления в ЭВМ и биологических нервных системах. Опубликовал свои выводы в работе "Кибернетика, или управление и связь в животном и машине" ["Cybernetics: Or Control and Communication in the Animal and the Machine"] (1948, переработанное издание 1961). К другим крупным трудам ученого относятся: "Человечное использование человеческих существ" ["The Human Use of Human Beings"] (1950), "Нелинейные проблемы в теории случайных событий" ["Non-Linear Problems in Random Theory"] (1958), "Бог и Голем, Инк." ["God and Golem, Inc."] (1964), а также автобиографические книги "Я - вундеркинд" ["Ex-Prodigy"] (1953) и "Я - математик" ["I Am a Mathematician"]English-Russian dictionary of regional studies > Wiener, Norbert
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10 Man
subs.In man's voice: use adv., Ar. ἀνδριστί.Fight man to man, v: P. and V. μονομαχεῖν.Human being: P. and V. ἄνθρωπος, ὁ.Like a man: see Manfully.Man by man: P. καθʼ ἕνα.Play the man, v.:P. ἀνδραγαθίζεσθαι, ἀνδρίζεσθαι (Plat.).Men's quarters in a house: P. and V. ἀνδρών, ὁ (Xen.), P. ἀνδρωνῖτις, ἡ.Empty of men, adj.: V. ἄνανδρος, κένανδρος.Lack of men, subs.: V. κενανδρία, ἡ, P. ὀλιγανθρωπία, ἡ.Love of men: V. φιλανδρία, ἡ (Eur., And. 229).Men at arms: P. and V. ὁπλῖται, οἱ.——————v. trans.P. and V. πληροῦν.Man fully: P. συμπληροῦν.Man against ( an enemy): P. ἀντιπληροῦν (absol.).Man in addition: P. προσπληροῦν.Fully-manned, adj.: P. and V. πλήρης.Woodhouse English-Greek dictionary. A vocabulary of the Attic language > Man
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11 indiscriminate
Adj1. अव्यवस्थितThe indiscriminate use of the oceans for dumping toxic waste, may be harmful not only for aquatic animals but also to human beings.2. अविवेकOne shouldn't be indiscriminate in one's choice of friend. -
12 tell
------------------------------------------------------------[English Word] tell[Swahili Word] -ambia[Part of Speech] verb[Class] applicative[Derived Word] amba V[English Example] Tell me/ how do you endure/ the pain of being separated / from your fellow human beings?; There's no one who was brave enough to be able to tell his companion.[Swahili Example] Niambie,/ wavumulia vipi/maumivu ya kutenganishwa/ na binadamu wenzako? [Alamin Mazrui "Barua ya Mpenzi"49] hakuna aliyekuwa na ujasiri wa kuweza kumwambia mwenziwe [Kez]------------------------------------------------------------[English Word] tell[Swahili Word] -arifu[Part of Speech] verb------------------------------------------------------------[English Word] tell[Swahili Word] -hadithi[Part of Speech] verb------------------------------------------------------------[English Word] tell[Swahili Word] -hubiri[Part of Speech] verb[Derived Word] habari, mhubiri------------------------------------------------------------[English Word] tell[Swahili Word] -sema[Part of Speech] verb[Note] rare------------------------------------------------------------[English Word] tell[Swahili Word] -taja[Part of Speech] verb------------------------------------------------------------[English Word] tell (a story)[Swahili Word] -simulia[Part of Speech] verb------------------------------------------------------------[English Word] tell (a story)[Swahili Word] -sumulia[Part of Speech] verb[Derived Word] msimulizi N------------------------------------------------------------[English Word] tell (news)[Swahili Word] -dokolea[Part of Speech] verb------------------------------------------------------------[English Word] tell a story[Swahili Word] -fanyia hadithi[Part of Speech] verb[Swahili Definition] kusimulia hadithi[English Example] Use of pictures to tell a story[Swahili Example] Matumizi ya picha kwa kufanyia hadithi [Masomo 194]------------------------------------------------------------[English Word] tell a story[Swahili Word] -pa hadithi[Part of Speech] verb[Swahili Definition] eleza habari za mambo yaliyotukia; eleza kisa, ngano, masimulizi, riwaya------------------------------------------------------------[English Word] tell fortunes[Swahili Word] -tabiri[Part of Speech] verb------------------------------------------------------------[English Word] tell frankly (informal)[Swahili Word] -toboa[Part of Speech] verb[Swahili Example] Padri leo katoboa! [Kez]------------------------------------------------------------[English Word] tell over and over again[Swahili Word] -sisitiza[Part of Speech] verb------------------------------------------------------------
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