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Artificial intelligence and human cognition

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    Historical dictionary of quotations in cognitive science > Bibliography

  • 2 Computers

       The brain has been compared to a digital computer because the neuron, like a switch or valve, either does or does not complete a circuit. But at that point the similarity ends. The switch in the digital computer is constant in its effect, and its effect is large in proportion to the total output of the machine. The effect produced by the neuron varies with its recovery from [the] refractory phase and with its metabolic state. The number of neurons involved in any action runs into millions so that the influence of any one is negligible.... Any cell in the system can be dispensed with.... The brain is an analogical machine, not digital. Analysis of the integrative activities will probably have to be in statistical terms. (Lashley, quoted in Beach, Hebb, Morgan & Nissen, 1960, p. 539)
       It is essential to realize that a computer is not a mere "number cruncher," or supercalculating arithmetic machine, although this is how computers are commonly regarded by people having no familiarity with artificial intelligence. Computers do not crunch numbers; they manipulate symbols.... Digital computers originally developed with mathematical problems in mind, are in fact general purpose symbol manipulating machines....
       The terms "computer" and "computation" are themselves unfortunate, in view of their misleading arithmetical connotations. The definition of artificial intelligence previously cited-"the study of intelligence as computation"-does not imply that intelligence is really counting. Intelligence may be defined as the ability creatively to manipulate symbols, or process information, given the requirements of the task in hand. (Boden, 1981, pp. 15, 16-17)
       The task is to get computers to explain things to themselves, to ask questions about their experiences so as to cause those explanations to be forthcoming, and to be creative in coming up with explanations that have not been previously available. (Schank, 1986, p. 19)
       In What Computers Can't Do, written in 1969 (2nd edition, 1972), the main objection to AI was the impossibility of using rules to select only those facts about the real world that were relevant in a given situation. The "Introduction" to the paperback edition of the book, published by Harper & Row in 1979, pointed out further that no one had the slightest idea how to represent the common sense understanding possessed even by a four-year-old. (Dreyfus & Dreyfus, 1986, p. 102)
       A popular myth says that the invention of the computer diminishes our sense of ourselves, because it shows that rational thought is not special to human beings, but can be carried on by a mere machine. It is a short stop from there to the conclusion that intelligence is mechanical, which many people find to be an affront to all that is most precious and singular about their humanness.
       In fact, the computer, early in its career, was not an instrument of the philistines, but a humanizing influence. It helped to revive an idea that had fallen into disrepute: the idea that the mind is real, that it has an inner structure and a complex organization, and can be understood in scientific terms. For some three decades, until the 1940s, American psychology had lain in the grip of the ice age of behaviorism, which was antimental through and through. During these years, extreme behaviorists banished the study of thought from their agenda. Mind and consciousness, thinking, imagining, planning, solving problems, were dismissed as worthless for anything except speculation. Only the external aspects of behavior, the surface manifestations, were grist for the scientist's mill, because only they could be observed and measured....
       It is one of the surprising gifts of the computer in the history of ideas that it played a part in giving back to psychology what it had lost, which was nothing less than the mind itself. In particular, there was a revival of interest in how the mind represents the world internally to itself, by means of knowledge structures such as ideas, symbols, images, and inner narratives, all of which had been consigned to the realm of mysticism. (Campbell, 1989, p. 10)
       [Our artifacts] only have meaning because we give it to them; their intentionality, like that of smoke signals and writing, is essentially borrowed, hence derivative. To put it bluntly: computers themselves don't mean anything by their tokens (any more than books do)-they only mean what we say they do. Genuine understanding, on the other hand, is intentional "in its own right" and not derivatively from something else. (Haugeland, 1981a, pp. 32-33)
       he debate over the possibility of computer thought will never be won or lost; it will simply cease to be of interest, like the previous debate over man as a clockwork mechanism. (Bolter, 1984, p. 190)
       t takes us a long time to emotionally digest a new idea. The computer is too big a step, and too recently made, for us to quickly recover our balance and gauge its potential. It's an enormous accelerator, perhaps the greatest one since the plow, twelve thousand years ago. As an intelligence amplifier, it speeds up everything-including itself-and it continually improves because its heart is information or, more plainly, ideas. We can no more calculate its consequences than Babbage could have foreseen antibiotics, the Pill, or space stations.
       Further, the effects of those ideas are rapidly compounding, because a computer design is itself just a set of ideas. As we get better at manipulating ideas by building ever better computers, we get better at building even better computers-it's an ever-escalating upward spiral. The early nineteenth century, when the computer's story began, is already so far back that it may as well be the Stone Age. (Rawlins, 1997, p. 19)
       According to weak AI, the principle value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion than before. But according to strong AI the computer is not merely a tool in the study of the mind; rather the appropriately programmed computer really is a mind in the sense that computers given the right programs can be literally said to understand and have other cognitive states. And according to strong AI, because the programmed computer has cognitive states, the programs are not mere tools that enable us to test psychological explanations; rather, the programs are themselves the explanations. (Searle, 1981b, p. 353)
       What makes people smarter than machines? They certainly are not quicker or more precise. Yet people are far better at perceiving objects in natural scenes and noting their relations, at understanding language and retrieving contextually appropriate information from memory, at making plans and carrying out contextually appropriate actions, and at a wide range of other natural cognitive tasks. People are also far better at learning to do these things more accurately and fluently through processing experience.
       What is the basis for these differences? One answer, perhaps the classic one we might expect from artificial intelligence, is "software." If we only had the right computer program, the argument goes, we might be able to capture the fluidity and adaptability of human information processing. Certainly this answer is partially correct. There have been great breakthroughs in our understanding of cognition as a result of the development of expressive high-level computer languages and powerful algorithms. However, we do not think that software is the whole story.
       In our view, people are smarter than today's computers because the brain employs a basic computational architecture that is more suited to deal with a central aspect of the natural information processing tasks that people are so good at.... hese tasks generally require the simultaneous consideration of many pieces of information or constraints. Each constraint may be imperfectly specified and ambiguous, yet each can play a potentially decisive role in determining the outcome of processing. (McClelland, Rumelhart & Hinton, 1986, pp. 3-4)

    Historical dictionary of quotations in cognitive science > Computers

  • 3 Philosophy

       And what I believe to be more important here is that I find in myself an infinity of ideas of certain things which cannot be assumed to be pure nothingness, even though they may have perhaps no existence outside of my thought. These things are not figments of my imagination, even though it is within my power to think of them or not to think of them; on the contrary, they have their own true and immutable natures. Thus, for example, when I imagine a triangle, even though there may perhaps be no such figure anywhere in the world outside of my thought, nor ever have been, nevertheless the figure cannot help having a certain determinate nature... or essence, which is immutable and eternal, which I have not invented and which does not in any way depend upon my mind. (Descartes, 1951, p. 61)
       Let us console ourselves for not knowing the possible connections between a spider and the rings of Saturn, and continue to examine what is within our reach. (Voltaire, 1961, p. 144)
       As modern physics started with the Newtonian revolution, so modern philosophy starts with what one might call the Cartesian Catastrophe. The catastrophe consisted in the splitting up of the world into the realms of matter and mind, and the identification of "mind" with conscious thinking. The result of this identification was the shallow rationalism of l'esprit Cartesien, and an impoverishment of psychology which it took three centuries to remedy even in part. (Koestler, 1964, p. 148)
       It has been made of late a reproach against natural philosophy that it has struck out on a path of its own, and has separated itself more and more widely from the other sciences which are united by common philological and historical studies. The opposition has, in fact, been long apparent, and seems to me to have grown up mainly under the influence of the Hegelian philosophy, or, at any rate, to have been brought out into more distinct relief by that philosophy.... The sole object of Kant's "Critical Philosophy" was to test the sources and the authority of our knowledge, and to fix a definite scope and standard for the researches of philosophy, as compared with other sciences.... [But Hegel's] "Philosophy of Identity" was bolder. It started with the hypothesis that not only spiritual phenomena, but even the actual world-nature, that is, and man-were the result of an act of thought on the part of a creative mind, similar, it was supposed, in kind to the human mind.... The philosophers accused the scientific men of narrowness; the scientific men retorted that the philosophers were crazy. And so it came about that men of science began to lay some stress on the banishment of all philosophic influences from their work; while some of them, including men of the greatest acuteness, went so far as to condemn philosophy altogether, not merely as useless, but as mischievous dreaming. Thus, it must be confessed, not only were the illegitimate pretensions of the Hegelian system to subordinate to itself all other studies rejected, but no regard was paid to the rightful claims of philosophy, that is, the criticism of the sources of cognition, and the definition of the functions of the intellect. (Helmholz, quoted in Dampier, 1966, pp. 291-292)
       Philosophy remains true to its classical tradition by renouncing it. (Habermas, 1972, p. 317)
       I have not attempted... to put forward any grand view of the nature of philosophy; nor do I have any such grand view to put forth if I would. It will be obvious that I do not agree with those who see philosophy as the history of "howlers" and progress in philosophy as the debunking of howlers. It will also be obvious that I do not agree with those who see philosophy as the enterprise of putting forward a priori truths about the world.... I see philosophy as a field which has certain central questions, for example, the relation between thought and reality.... It seems obvious that in dealing with these questions philosophers have formulated rival research programs, that they have put forward general hypotheses, and that philosophers within each major research program have modified their hypotheses by trial and error, even if they sometimes refuse to admit that that is what they are doing. To that extent philosophy is a "science." To argue about whether philosophy is a science in any more serious sense seems to me to be hardly a useful occupation.... It does not seem to me important to decide whether science is philosophy or philosophy is science as long as one has a conception of both that makes both essential to a responsible view of the world and of man's place in it. (Putnam, 1975, p. xvii)
       What can philosophy contribute to solving the problem of the relation [of] mind to body? Twenty years ago, many English-speaking philosophers would have answered: "Nothing beyond an analysis of the various mental concepts." If we seek knowledge of things, they thought, it is to science that we must turn. Philosophy can only cast light upon our concepts of those things.
       This retreat from things to concepts was not undertaken lightly. Ever since the seventeenth century, the great intellectual fact of our culture has been the incredible expansion of knowledge both in the natural and in the rational sciences (mathematics, logic).
       The success of science created a crisis in philosophy. What was there for philosophy to do? Hume had already perceived the problem in some degree, and so surely did Kant, but it was not until the twentieth century, with the Vienna Circle and with Wittgenstein, that the difficulty began to weigh heavily. Wittgenstein took the view that philosophy could do no more than strive to undo the intellectual knots it itself had tied, so achieving intellectual release, and even a certain illumination, but no knowledge. A little later, and more optimistically, Ryle saw a positive, if reduced role, for philosophy in mapping the "logical geography" of our concepts: how they stood to each other and how they were to be analyzed....
       Since that time, however, philosophers in the "analytic" tradition have swung back from Wittgensteinian and even Rylean pessimism to a more traditional conception of the proper role and tasks of philosophy. Many analytic philosophers now would accept the view that the central task of philosophy is to give an account, or at least play a part in giving an account, of the most general nature of things and of man. (Armstrong, 1990, pp. 37-38)
       8) Philosophy's Evolving Engagement with Artificial Intelligence and Cognitive Science
       In the beginning, the nature of philosophy's engagement with artificial intelligence and cognitive science was clear enough. The new sciences of the mind were to provide the long-awaited vindication of the most potent dreams of naturalism and materialism. Mind would at last be located firmly within the natural order. We would see in detail how the most perplexing features of the mental realm could be supported by the operations of solely physical laws upon solely physical stuff. Mental causation (the power of, e.g., a belief to cause an action) would emerge as just another species of physical causation. Reasoning would be understood as a kind of automated theorem proving. And the key to both was to be the depiction of the brain as the implementation of multiple higher level programs whose task was to manipulate and transform symbols or representations: inner items with one foot in the physical (they were realized as brain states) and one in the mental (they were bearers of contents, and their physical gymnastics were cleverly designed to respect semantic relationships such as truth preservation). (A. Clark, 1996, p. 1)
       Socrates of Athens famously declared that "the unexamined life is not worth living," and his motto aptly explains the impulse to philosophize. Taking nothing for granted, philosophy probes and questions the fundamental presuppositions of every area of human inquiry.... [P]art of the job of the philosopher is to keep at a certain critical distance from current doctrines, whether in the sciences or the arts, and to examine instead how the various elements in our world-view clash, or fit together. Some philosophers have tried to incorporate the results of these inquiries into a grand synoptic view of the nature of reality and our human relationship to it. Others have mistrusted system-building, and seen their primary role as one of clarifications, or the removal of obstacles along the road to truth. But all have shared the Socratic vision of using the human intellect to challenge comfortable preconceptions, insisting that every aspect of human theory and practice be subjected to continuing critical scrutiny....
       Philosophy is, of course, part of a continuing tradition, and there is much to be gained from seeing how that tradition originated and developed. But the principal object of studying the materials in this book is not to pay homage to past genius, but to enrich one's understanding of central problems that are as pressing today as they have always been-problems about knowledge, truth and reality, the nature of the mind, the basis of right action, and the best way to live. These questions help to mark out the territory of philosophy as an academic discipline, but in a wider sense they define the human predicament itself; they will surely continue to be with us for as long as humanity endures. (Cottingham, 1996, pp. xxi-xxii)
       In his study of ancient Greek culture, The Birth of Tragedy, Nietzsche drew what would become a famous distinction, between the Dionysian spirit, the untamed spirit of art and creativity, and the Apollonian, that of reason and self-control. The story of Greek civilization, and all civilizations, Nietzsche implied, was the gradual victory of Apollonian man, with his desire for control over nature and himself, over Dionysian man, who survives only in myth, poetry, music, and drama. Socrates and Plato had attacked the illusions of art as unreal, and had overturned the delicate cultural balance by valuing only man's critical, rational, and controlling consciousness while denigrating his vital life instincts as irrational and base. The result of this division is "Alexandrian man," the civilized and accomplished Greek citizen of the later ancient world, who is "equipped with the greatest forces of knowledge" but in whom the wellsprings of creativity have dried up. (Herman, 1997, pp. 95-96)

    Historical dictionary of quotations in cognitive science > Philosophy

  • 4 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 Science
       I 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

  • 5 conocimiento

    m.
    1 knowledge.
    hablar/actuar con conocimiento de causa to know what one is talking about/doing
    poner algo en conocimiento de alguien to bring something to somebody's attention, to inform somebody of something
    tener conocimiento de algo to be aware of something
    ha llegado a mi conocimiento que estás insatisfecho it has come to my attention that you are not happy
    2 consciousness (sentido, conciencia).
    perder/recobrar el conocimiento to lose/regain consciousness
    estaba tumbado en el suelo, sin conocimiento he was lying unconscious on the floor
    3 awareness, consciousness, cognizance.
    * * *
    1 (In 1, also used in plural with the same meaning) (saber) knowledge
    2 (sensatez) good sense
    3 (conciencia) consciousness
    \
    con conocimiento de causa with full knowledge of the facts
    perder el conocimiento to lose consciousness
    poner algo en conocimiento de alguien to make something known to somebody, inform somebody of something
    recobrar el conocimiento to regain consciousness, come round
    tener conocimiento de algo to know about something
    * * *
    noun m.
    * * *
    SM
    1) (=saber) knowledge

    conocimientos — (=nociones) knowledge sing

    mis pocos conocimientos de filosofía/cocina — my limited knowledge of philosophy/cookery

    2) (=información) knowledge

    • dar conocimiento de algo, dimos conocimiento del robo a la policía — we informed the police about the robbery

    • llegar a conocimiento de algn — to come to sb's attention o notice

    • tener conocimiento de algo, aún no tenemos conocimiento de su detención — we still do not know that he has been arrested

    desea ponerlo en conocimiento público — he wants it brought to the public's attention, he wishes it to be made public

    conocimiento de causa, hacer algo con conocimiento de causa — to be fully aware of what one is doing

    3) (=consciencia) consciousness

    recobrar o recuperar el conocimiento — to regain consciousness

    4) (=sentido común) common sense
    5) (Jur) cognizance frm
    6) (Com)
    * * *
    1)
    a) ( saber) knowledge
    b) conocimientos masculino plural ( nociones) knowledge
    2) (frml) ( información)

    dar conocimiento de algo a alguien — to inform o (frml) apprise somebody of something

    pongo en su conocimiento que... — (Corresp) I am writing to inform you that...

    con conocimiento de causa: obró con conocimiento de causa (frml) he took this step, fully aware of what the consequences would be; hablo con conocimiento de causa — I know what I'm talking about

    3) ( sentido) consciousness

    perder/recobrar el conocimiento — to lose/regain consciousness

    aún es pequeño, no tiene todavía conocimiento — he's not old enough to understand

    * * *
    = cognition, competency, enlightenment, expertise, familiarisation [familiarization, -USA], familiarity, insight, knowledge, learning, acquaintance, understanding, cognisance [cognizance, -USA], connoisseurship, consciousness.
    Ex. The information-processing model of cognition, and developments in artificial intelligence encourage such comparisons = El modelo de la cognición sobre el procesamiento de la información de y los avances de la inteligencia artificial fomentan este tipo de comparaciones.
    Ex. SLIS programmes intended to 'produce' librarians with competency in the use of IT have to be designed.
    Ex. Considered as necessary work in the interest of humanity and general enlightenment, bibliography gains ground as the years pass.
    Ex. Its primary function is to provide a centre for software and hardware expertise for its members.
    Ex. Step 1 Familiarisation: This first step involves the indexer in becoming conversant with the subject content of the document to be indexed.
    Ex. The most effective searchers are those who have both system experience and some familiarity with the subject area in which they are searching.
    Ex. The human indexer works mechanically and rapidly; he should require no insight into the document content.
    Ex. These factors form the basis of the problems in identifying a satisfactory subject approach, and start to explain the vast array of different tolls used in the subject approach to knowledge.
    Ex. It is the responsibility of educators to stretch their student's intellects, hone their skills of intuitive judgment and synthesis, and build a love of learning that will sustain them beyond the level of formal education.
    Ex. It is only with accumulating experience and many years of close study and acquaintance with bibliographic works that a really substantial body of knowledge of the potential of bibliographic sources is acquired.
    Ex. We librarians ought to have a clearer understanding of our stock-in-trade (books) and their function of social mechanism.
    Ex. The passive cognisance of growth causes considerable difficulties = El conocimiento pasivo del crecimiento causa dificultades importantes.
    Ex. This book explores the underlying institutional factors that help museum-based connoisseurship and aestheticism and university-based critical theory and revisionist scholarship exist.
    Ex. For example, the latter are unlikely to engage themselves in conservation issues as these now press upon the professional consciousness of librarians.
    ----
    * actualizar los conocimientos = upgrade + Posesivo + skills.
    * adquirir conocimiento = gain + knowledge, glean + knowledge, acquire + knowledge, build up + knowledge.
    * ampliar el conocimiento = expand + Posesivo + knowledge, expand + Posesivo + knowledge, widen + knowledge, broaden + knowledge, deepen + understanding.
    * ampliar las fronteras del conocimiento = push back + the frontiers of knowledge.
    * análisis de áreas del conocimiento = domain analysis.
    * análisis de dominios del conocimiento = domain analysis.
    * aprendizaje rico en conocimiento = knowledge-rich learning.
    * área de conocimiento = area of study.
    * área del conocimiento = area of knowledge, discipline, subject field, field of activity, knowledge domain, discipline of knowledge.
    * aumentar el conocimiento = expand + Posesivo + knowledge, deepen + awareness.
    * aumento del conocimiento = knowledge building.
    * bannco de conocimiento = knowledge bank.
    * basado en el conocimiento = knowledge-based.
    * basado en las disciplinas del conocimiento = discipline-based.
    * bibliotecario con conocimientos de medicina = informationist.
    * búsqueda del conocimiento = quest for/of knowledge.
    * campo del conocimiento = field of knowledge.
    * centrado en el conocimiento = knowledge-centric.
    * ciencia del conocimiento = cognitive science.
    * compartir el conocimiento = knowledge sharing, pool + knowledge.
    * con conocimiento = authoritatively.
    * con conocimiento básico en el manejo de la información = information literate [information-literate].
    * con conocimiento básico en el uso de la biblioteca = library literate [library-literate].
    * con conocimiento de = appreciative of, conversant with.
    * con conocimiento de causa = knowingly, knowingly.
    * con conocimiento de informática = computer literate [computer-literate].
    * con conocimiento en el uso de Internet = Internet-savvy.
    * con conocimientos en = versed in.
    * con conocimientos sobre el correo electrónico = e-mail literate.
    * con el conocimiento de que = on the understanding that.
    * conjunto de conocimientos = body of knowledge.
    * conocimiento académico = academic knowledge.
    * conocimiento acumulado sobre un tema = lore.
    * conocimiento básico = working familiarity, working knowledge.
    * conocimiento científico = scientific knowledge.
    * conocimiento compartido = knowledge sharing.
    * conocimiento de base = foundation study.
    * conocimiento de cómo sobrevivir en el bosque = woodcraft.
    * conocimiento de embarque = bill of lading.
    * conocimiento de la existencia = awareness.
    * conocimiento de lengua = language skill.
    * conocimiento del objeto = object knowledge.
    * conocimiento de los diferentes soportes = media competency.
    * conocimiento detallado = intimate knowledge.
    * conocimiento de un área temática = area knowledge.
    * conocimiento documentado = recorded knowledge.
    * conocimiento enciclopédico = factual knowledge.
    * conocimiento en tecnología = technological skill.
    * conocimiento específico = expert knowledge.
    * conocimiento experto = expert knowledge, expertise.
    * conocimiento explícito = explicit knowledge.
    * conocimiento factual = declarative knowledge.
    * conocimiento humano = human consciousness.
    * conocimiento humano, el = human record, the.
    * conocimiento indígena = indigenous knowledge.
    * conocimiento lingüístico = language skill.
    * conocimiento mutuo = mutual knowledge.
    * conocimiento pasivo = nodding acquaintance.
    * conocimiento pleno = awareness.
    * conocimiento práctico = working knowledge, procedural knowledge.
    * conocimiento previo = foreknowledge.
    * conocimientos = knowledge base [knowledge-base].
    * conocimientos básicos = literacy.
    * conocimientos básicos de búsqueda, recuperación y organización de informació = information literacy.
    * conocimientos básicos de documentación = information literacy.
    * conocimientos básicos de informática = computer literacy.
    * conocimientos básicos en tecnología = technical literacy.
    * conocimientos básicos sobre el uso de las bibliotecas = library skills.
    * conocimientos de tecnología = techno-savvy, tech-savvy.
    * conocimientos en el manejo de la información = info-savvy.
    * conocimiento sobre una materia = subject knowledge.
    * conocimientos requeridos = job specs.
    * conocimiento tácito = tacit knowledge, tacit knowledge, tacit knowledge.
    * conocimiento técnico = know-how, technical knowledge.
    * conocimiento teórico = declarative knowledge.
    * con poco conocimiento de las nuevas tecnologías = technologically challenged.
    * corpus de conocimiento = corpus of knowledge.
    * crear un fondo común de conocimientos = pool + knowledge.
    * cúmulo de conocimiento = repository of knowledge, knowledge repository.
    * decisión con conocimiento de causa = informed decision.
    * difundir el conocimiento = spread + knowledge.
    * director ejecutivo de la gestión del conocimiento = knowledge executive.
    * dominio del conocimiento = knowledge domain.
    * economía basada en el conocimiento = knowledge driven economy.
    * economía del conocimiento = knowledge economy.
    * Era del Conocimiento, la = Knowledge Age, the.
    * estructuración del conocimiento = knowledge structuring.
    * examinar los conocimientos = test + knowledge.
    * falta de conocimiento = unfamiliarity.
    * filtro del conocimiento = knowledge filter.
    * fomentar el conocimiento = advance + knowledge.
    * fondo común de conocimientos = pool of knowledge, pool of expertise.
    * frontera del conocimiento = frontier of knowledge.
    * fundamentos del conocimiento, los = foundations of knowledge, the.
    * gestión del conocimiento = knowledge management (KM).
    * gestor del conocimiento = knowledge worker, knowledge manager.
    * hacer avanzar el conocimiento = push back + the frontiers of knowledge.
    * hacer gala del conocimiento que uno tiene = air + knowledge.
    * hacer perder el conocimiento = knock + Nombre + out, knock + Nombre + unconscious.
    * hacer uso de un conocimiento = draw on/upon + knowledge.
    * impartir conocimiento = impart + knowledge.
    * inculcar conocimiento = instil + knowledge.
    * ingeniería del conocimiento = knowledge engineering.
    * ingeniero del conocimiento = knowledge engineer.
    * institucion del conocimiento = institution of learning.
    * intercambio de conocimientos = learning exchange, cross-fertilisation [cross-fertilization, -USA], cross-fertilisation of knowledge.
    * jefe de los servicios de gestión del conocimiento = chief knowledge officer (CKO).
    * metaconocimiento = meta-knowledge.
    * navegación por el conocimiento = knowledge navigation.
    * navegador del conocimiento = knowledge navigator.
    * obtener conocimiento = gain + an understanding.
    * ofrecer conocimiento = package + knowledge.
    * perder el conocimiento = lose + Posesivo + senses, pass out, lose + Posesivo + consciousness.
    * pérdida del conocimiento = unconsciousness, fainting, fainting fit, loss of consciousness.
    * personas sin conocimientos técnicos, las = non-technical, the.
    * presentar conocimiento = package + knowledge.
    * producto del conocimiento = knowledge record.
    * profundizar en el conocimiento = deepen + knowledge.
    * propagar el conocimiento = propagate + knowledge.
    * proporcionar conocimientos técnicos = supply + know-how.
    * quedarse sin conocimiento = lose + Posesivo + consciousness, pass out.
    * rama del conocimiento = branch of learning.
    * recobrar el conocimiento = regain + Posesivo + consciousness.
    * recuperar el conocimiento = regain + Posesivo + consciousness.
    * red de conocimiento = knowledge network.
    * servidor del conocimiento = knowledge server.
    * sin conocimiento = unconscious.
    * sin conocimiento de causa = unbeknown to, unbeknownst to.
    * sintetizar el conocimiento = synthesise + knowledge.
    * sistema basado en el conocimiento = knowledge-base system.
    * sistema de gestión del conocimiento = knowledge management system (KMS).
    * sociedad basada en el conocimiento = knowledge based society.
    * sociedad del conocimiento = knowledge society.
    * Sociedad para el Conocimiento Global = Global Knowledge Partnership.
    * suministrar conocimientos técnicos = supply + know-how.
    * tener conocimiento de = be privy to, be aware of.
    * toma de decisiones con conocimiento de causa = informed decision making.
    * tomar decisiones con conocimiento de causa = make + informed decisions.
    * transferencia de conocimiento = transfer of knowledge, knowledge transfer.
    * utilizar los conocimientos de Uno = put + Posesivo + knowledge to work.
    * * *
    1)
    a) ( saber) knowledge
    b) conocimientos masculino plural ( nociones) knowledge
    2) (frml) ( información)

    dar conocimiento de algo a alguien — to inform o (frml) apprise somebody of something

    pongo en su conocimiento que... — (Corresp) I am writing to inform you that...

    con conocimiento de causa: obró con conocimiento de causa (frml) he took this step, fully aware of what the consequences would be; hablo con conocimiento de causa — I know what I'm talking about

    3) ( sentido) consciousness

    perder/recobrar el conocimiento — to lose/regain consciousness

    aún es pequeño, no tiene todavía conocimiento — he's not old enough to understand

    * * *
    = cognition, competency, enlightenment, expertise, familiarisation [familiarization, -USA], familiarity, insight, knowledge, learning, acquaintance, understanding, cognisance [cognizance, -USA], connoisseurship, consciousness.

    Ex: The information-processing model of cognition, and developments in artificial intelligence encourage such comparisons = El modelo de la cognición sobre el procesamiento de la información de y los avances de la inteligencia artificial fomentan este tipo de comparaciones.

    Ex: SLIS programmes intended to 'produce' librarians with competency in the use of IT have to be designed.
    Ex: Considered as necessary work in the interest of humanity and general enlightenment, bibliography gains ground as the years pass.
    Ex: Its primary function is to provide a centre for software and hardware expertise for its members.
    Ex: Step 1 Familiarisation: This first step involves the indexer in becoming conversant with the subject content of the document to be indexed.
    Ex: The most effective searchers are those who have both system experience and some familiarity with the subject area in which they are searching.
    Ex: The human indexer works mechanically and rapidly; he should require no insight into the document content.
    Ex: These factors form the basis of the problems in identifying a satisfactory subject approach, and start to explain the vast array of different tolls used in the subject approach to knowledge.
    Ex: It is the responsibility of educators to stretch their student's intellects, hone their skills of intuitive judgment and synthesis, and build a love of learning that will sustain them beyond the level of formal education.
    Ex: It is only with accumulating experience and many years of close study and acquaintance with bibliographic works that a really substantial body of knowledge of the potential of bibliographic sources is acquired.
    Ex: We librarians ought to have a clearer understanding of our stock-in-trade (books) and their function of social mechanism.
    Ex: The passive cognisance of growth causes considerable difficulties = El conocimiento pasivo del crecimiento causa dificultades importantes.
    Ex: This book explores the underlying institutional factors that help museum-based connoisseurship and aestheticism and university-based critical theory and revisionist scholarship exist.
    Ex: For example, the latter are unlikely to engage themselves in conservation issues as these now press upon the professional consciousness of librarians.
    * actualizar los conocimientos = upgrade + Posesivo + skills.
    * adquirir conocimiento = gain + knowledge, glean + knowledge, acquire + knowledge, build up + knowledge.
    * ampliar el conocimiento = expand + Posesivo + knowledge, expand + Posesivo + knowledge, widen + knowledge, broaden + knowledge, deepen + understanding.
    * ampliar las fronteras del conocimiento = push back + the frontiers of knowledge.
    * análisis de áreas del conocimiento = domain analysis.
    * análisis de dominios del conocimiento = domain analysis.
    * aprendizaje rico en conocimiento = knowledge-rich learning.
    * área de conocimiento = area of study.
    * área del conocimiento = area of knowledge, discipline, subject field, field of activity, knowledge domain, discipline of knowledge.
    * aumentar el conocimiento = expand + Posesivo + knowledge, deepen + awareness.
    * aumento del conocimiento = knowledge building.
    * bannco de conocimiento = knowledge bank.
    * basado en el conocimiento = knowledge-based.
    * basado en las disciplinas del conocimiento = discipline-based.
    * bibliotecario con conocimientos de medicina = informationist.
    * búsqueda del conocimiento = quest for/of knowledge.
    * campo del conocimiento = field of knowledge.
    * centrado en el conocimiento = knowledge-centric.
    * ciencia del conocimiento = cognitive science.
    * compartir el conocimiento = knowledge sharing, pool + knowledge.
    * con conocimiento = authoritatively.
    * con conocimiento básico en el manejo de la información = information literate [information-literate].
    * con conocimiento básico en el uso de la biblioteca = library literate [library-literate].
    * con conocimiento de = appreciative of, conversant with.
    * con conocimiento de causa = knowingly, knowingly.
    * con conocimiento de informática = computer literate [computer-literate].
    * con conocimiento en el uso de Internet = Internet-savvy.
    * con conocimientos en = versed in.
    * con conocimientos sobre el correo electrónico = e-mail literate.
    * con el conocimiento de que = on the understanding that.
    * conjunto de conocimientos = body of knowledge.
    * conocimiento académico = academic knowledge.
    * conocimiento acumulado sobre un tema = lore.
    * conocimiento básico = working familiarity, working knowledge.
    * conocimiento científico = scientific knowledge.
    * conocimiento compartido = knowledge sharing.
    * conocimiento de base = foundation study.
    * conocimiento de cómo sobrevivir en el bosque = woodcraft.
    * conocimiento de embarque = bill of lading.
    * conocimiento de la existencia = awareness.
    * conocimiento de lengua = language skill.
    * conocimiento del objeto = object knowledge.
    * conocimiento de los diferentes soportes = media competency.
    * conocimiento detallado = intimate knowledge.
    * conocimiento de un área temática = area knowledge.
    * conocimiento documentado = recorded knowledge.
    * conocimiento enciclopédico = factual knowledge.
    * conocimiento en tecnología = technological skill.
    * conocimiento específico = expert knowledge.
    * conocimiento experto = expert knowledge, expertise.
    * conocimiento explícito = explicit knowledge.
    * conocimiento factual = declarative knowledge.
    * conocimiento humano = human consciousness.
    * conocimiento humano, el = human record, the.
    * conocimiento indígena = indigenous knowledge.
    * conocimiento lingüístico = language skill.
    * conocimiento mutuo = mutual knowledge.
    * conocimiento pasivo = nodding acquaintance.
    * conocimiento pleno = awareness.
    * conocimiento práctico = working knowledge, procedural knowledge.
    * conocimiento previo = foreknowledge.
    * conocimientos = knowledge base [knowledge-base].
    * conocimientos básicos = literacy.
    * conocimientos básicos de búsqueda, recuperación y organización de informació = information literacy.
    * conocimientos básicos de documentación = information literacy.
    * conocimientos básicos de informática = computer literacy.
    * conocimientos básicos en tecnología = technical literacy.
    * conocimientos básicos sobre el uso de las bibliotecas = library skills.
    * conocimientos de tecnología = techno-savvy, tech-savvy.
    * conocimientos en el manejo de la información = info-savvy.
    * conocimiento sobre una materia = subject knowledge.
    * conocimientos requeridos = job specs.
    * conocimiento tácito = tacit knowledge, tacit knowledge, tacit knowledge.
    * conocimiento técnico = know-how, technical knowledge.
    * conocimiento teórico = declarative knowledge.
    * con poco conocimiento de las nuevas tecnologías = technologically challenged.
    * corpus de conocimiento = corpus of knowledge.
    * crear un fondo común de conocimientos = pool + knowledge.
    * cúmulo de conocimiento = repository of knowledge, knowledge repository.
    * decisión con conocimiento de causa = informed decision.
    * difundir el conocimiento = spread + knowledge.
    * director ejecutivo de la gestión del conocimiento = knowledge executive.
    * dominio del conocimiento = knowledge domain.
    * economía basada en el conocimiento = knowledge driven economy.
    * economía del conocimiento = knowledge economy.
    * Era del Conocimiento, la = Knowledge Age, the.
    * estructuración del conocimiento = knowledge structuring.
    * examinar los conocimientos = test + knowledge.
    * falta de conocimiento = unfamiliarity.
    * filtro del conocimiento = knowledge filter.
    * fomentar el conocimiento = advance + knowledge.
    * fondo común de conocimientos = pool of knowledge, pool of expertise.
    * frontera del conocimiento = frontier of knowledge.
    * fundamentos del conocimiento, los = foundations of knowledge, the.
    * gestión del conocimiento = knowledge management (KM).
    * gestor del conocimiento = knowledge worker, knowledge manager.
    * hacer avanzar el conocimiento = push back + the frontiers of knowledge.
    * hacer gala del conocimiento que uno tiene = air + knowledge.
    * hacer perder el conocimiento = knock + Nombre + out, knock + Nombre + unconscious.
    * hacer uso de un conocimiento = draw on/upon + knowledge.
    * impartir conocimiento = impart + knowledge.
    * inculcar conocimiento = instil + knowledge.
    * ingeniería del conocimiento = knowledge engineering.
    * ingeniero del conocimiento = knowledge engineer.
    * institucion del conocimiento = institution of learning.
    * intercambio de conocimientos = learning exchange, cross-fertilisation [cross-fertilization, -USA], cross-fertilisation of knowledge.
    * jefe de los servicios de gestión del conocimiento = chief knowledge officer (CKO).
    * metaconocimiento = meta-knowledge.
    * navegación por el conocimiento = knowledge navigation.
    * navegador del conocimiento = knowledge navigator.
    * obtener conocimiento = gain + an understanding.
    * ofrecer conocimiento = package + knowledge.
    * perder el conocimiento = lose + Posesivo + senses, pass out, lose + Posesivo + consciousness.
    * pérdida del conocimiento = unconsciousness, fainting, fainting fit, loss of consciousness.
    * personas sin conocimientos técnicos, las = non-technical, the.
    * presentar conocimiento = package + knowledge.
    * producto del conocimiento = knowledge record.
    * profundizar en el conocimiento = deepen + knowledge.
    * propagar el conocimiento = propagate + knowledge.
    * proporcionar conocimientos técnicos = supply + know-how.
    * quedarse sin conocimiento = lose + Posesivo + consciousness, pass out.
    * rama del conocimiento = branch of learning.
    * recobrar el conocimiento = regain + Posesivo + consciousness.
    * recuperar el conocimiento = regain + Posesivo + consciousness.
    * red de conocimiento = knowledge network.
    * servidor del conocimiento = knowledge server.
    * sin conocimiento = unconscious.
    * sin conocimiento de causa = unbeknown to, unbeknownst to.
    * sintetizar el conocimiento = synthesise + knowledge.
    * sistema basado en el conocimiento = knowledge-base system.
    * sistema de gestión del conocimiento = knowledge management system (KMS).
    * sociedad basada en el conocimiento = knowledge based society.
    * sociedad del conocimiento = knowledge society.
    * Sociedad para el Conocimiento Global = Global Knowledge Partnership.
    * suministrar conocimientos técnicos = supply + know-how.
    * tener conocimiento de = be privy to, be aware of.
    * toma de decisiones con conocimiento de causa = informed decision making.
    * tomar decisiones con conocimiento de causa = make + informed decisions.
    * transferencia de conocimiento = transfer of knowledge, knowledge transfer.
    * utilizar los conocimientos de Uno = put + Posesivo + knowledge to work.

    * * *
    A
    1 (saber) knowledge
    tiene algunos conocimientos de inglés he has some knowledge of English, he knows some English
    B ( frml)
    (información): dio conocimiento del suceso a las autoridades he informed o ( frml) apprised the authorities of the incident
    puso el hecho en conocimiento de la policía she informed the police of the incident, she reported the incident to the police
    pongo en su conocimiento que … ( Corresp) I am writing to inform you that …
    al tener conocimiento del suceso upon learning of the incident ( frml)
    a esas horas no se tenía todavía conocimiento de la noticia at that time we/they still had not heard the news
    ciertas personas tienen conocimiento de sus actividades certain people are aware of her activities
    llegar a conocimiento de algn to come to sb's attention o notice ( frml)
    con conocimiento de causa: obró con conocimiento de causa ( frml); he took this step, fully aware of what the consequences would be
    te lo digo con conocimiento de causa I know what I'm talking about
    Compuesto:
    bill of lading, waybill
    C (sentido) consciousness
    perder el conocimiento to lose consciousness
    cuando recobró el conocimiento when he regained consciousness, when he came to o round
    estar sin conocimiento to be unconscious
    D
    (entendimiento): aún es pequeño, no tiene todavía conocimiento he's not old enough to understand
    * * *

     

    conocimiento sustantivo masculino


    poner algo en conocimiento de algn to inform sb of sth;
    tener conocimiento de algo to be aware of sth

    ◊ perder/recobrar el conocimiento to lose/regain consciousness;

    estar sin conocimiento to be unconscious
    conocimiento sustantivo masculino
    1 knowledge
    2 (conciencia) consciousness
    3 conocimientos, knowledge
    ♦ Locuciones: perder/recobrar el conocimiento, to lose/regain consciousness
    con conocimiento de causa, with full knowledge of the facts
    ' conocimiento' also found in these entries:
    Spanish:
    braga
    - ciencia
    - conciencia
    - desfallecer
    - desvanecerse
    - dominio
    - error
    - orientación
    - parcela
    - revelar
    - sentida
    - sentido
    - experiencia
    - perder
    - pérdida
    - reanimar
    - recobrar
    - saber
    English:
    acquaintance
    - air
    - black out
    - blackout
    - cognizance
    - come to
    - comprehensive
    - consciousness
    - familiarity
    - grounding
    - improve
    - knock out
    - knowledge
    - notice
    - privy
    - recover
    - self-awareness
    - sketchy
    - superficial
    - thorough
    - unconsciousness
    - black
    - knock
    - know
    - pass
    * * *
    1. [saber] knowledge;
    hablar/actuar con conocimiento de causa to know what one is talking about/doing;
    puso el robo en conocimiento de la policía she informed the police of the burglary;
    ponemos en su conocimiento que se ha detectado un error en el programa this is to inform you that an error has been detected in the program;
    no teníamos conocimiento de su dimisión we were not aware that he had resigned;
    al tener conocimiento del accidente, acudió inmediatamente al hospital when she found out about the accident she immediately went to the hospital;
    ha llegado a mi conocimiento que estás insatisfecho it has come to my attention that you are not happy
    2.
    conocimientos [nociones] knowledge;
    tengo algunos conocimientos de informática I have some knowledge of computers, I know a bit about computers;
    nuestros conocimientos acerca de la enfermedad son muy limitados our knowledge of the disease is very limited, we know very little about the disease
    3. [sentido, conciencia] consciousness;
    perder el conocimiento to lose consciousness;
    recobrar el conocimiento to regain consciousness;
    estaba tumbado en el suelo, sin conocimiento he was lying unconscious on the floor
    4. [juicio] (common) sense;
    5. Com conocimiento de embarque bill of lading
    * * *
    m
    1 knowledge;
    con conocimiento de causa hacer algo fully aware of the consequences;
    para su conocimiento for your information;
    conocimientos pl ( nociones) knowledge sg
    2 MED consciousness;
    perder el conocimiento lose consciousness;
    sin conocimiento unconscious;
    recobrar el conocimiento regain consciousness
    * * *
    1) : knowledge
    2) sentido: consciousness
    * * *
    1. (en general) knowledge
    2. (sentido) consciousness

    Spanish-English dictionary > conocimiento

  • 6 Mind

       It becomes, therefore, no inconsiderable part of science... to know the different operations of the mind, to separate them from each other, to class them under their proper heads, and to correct all that seeming disorder in which they lie involved when made the object of reflection and inquiry.... It cannot be doubted that the mind is endowed with several powers and faculties, that these powers are distinct from one another, and that what is really distinct to the immediate perception may be distinguished by reflection and, consequently, that there is a truth and falsehood which lie not beyond the compass of human understanding. (Hume, 1955, p. 22)
       Let us then suppose the mind to be, as we say, white Paper, void of all Characters, without any Ideas: How comes it to be furnished? Whence comes it by that vast store, which the busy and boundless Fancy of Man has painted on it, with an almost endless variety? Whence has it all the materials of Reason and Knowledge? To this I answer, in one word, from Experience. (Locke, quoted in Herrnstein & Boring, 1965, p. 584)
       The kind of logic in mythical thought is as rigorous as that of modern science, and... the difference lies, not in the quality of the intellectual process, but in the nature of things to which it is applied.... Man has always been thinking equally well; the improvement lies, not in an alleged progress of man's mind, but in the discovery of new areas to which it may apply its unchanged and unchanging powers. (Leґvi-Strauss, 1963, p. 230)
       MIND. A mysterious form of matter secreted by the brain. Its chief activity consists in the endeavor to ascertain its own nature, the futility of the attempt being due to the fact that it has nothing but itself to know itself with. (Bierce, quoted in Minsky, 1986, p. 55)
       [Philosophy] understands the foundations of knowledge and it finds these foundations in a study of man-as-knower, of the "mental processes" or the "activity of representation" which make knowledge possible. To know is to represent accurately what is outside the mind, so to understand the possibility and nature of knowledge is to understand the way in which the mind is able to construct such representation.... We owe the notion of a "theory of knowledge" based on an understanding of "mental processes" to the seventeenth century, and especially to Locke. We owe the notion of "the mind" as a separate entity in which "processes" occur to the same period, and especially to Descartes. We owe the notion of philosophy as a tribunal of pure reason, upholding or denying the claims of the rest of culture, to the eighteenth century and especially to Kant, but this Kantian notion presupposed general assent to Lockean notions of mental processes and Cartesian notions of mental substance. (Rorty, 1979, pp. 3-4)
       Under pressure from the computer, the question of mind in relation to machine is becoming a central cultural preoccupation. It is becoming for us what sex was to Victorians-threat, obsession, taboo, and fascination. (Turkle, 1984, p. 313)
       7) Understanding the Mind Remains as Resistant to Neurological as to Cognitive Analyses
       Recent years have been exciting for researchers in the brain and cognitive sciences. Both fields have flourished, each spurred on by methodological and conceptual developments, and although understanding the mechanisms of mind is an objective shared by many workers in these areas, their theories and approaches to the problem are vastly different....
       Early experimental psychologists, such as Wundt and James, were as interested in and knowledgeable about the anatomy and physiology of the nervous system as about the young science of the mind. However, the experimental study of mental processes was short-lived, being eclipsed by the rise of behaviorism early in this century. It was not until the late 1950s that the signs of a new mentalism first appeared in scattered writings of linguists, philosophers, computer enthusiasts, and psychologists.
       In this new incarnation, the science of mind had a specific mission: to challenge and replace behaviorism. In the meantime, brain science had in many ways become allied with a behaviorist approach.... While behaviorism sought to reduce the mind to statements about bodily action, brain science seeks to explain the mind in terms of physiochemical events occurring in the nervous system. These approaches contrast with contemporary cognitive science, which tries to understand the mind as it is, without any reduction, a view sometimes described as functionalism.
       The cognitive revolution is now in place. Cognition is the subject of contemporary psychology. This was achieved with little or no talk of neurons, action potentials, and neurotransmitters. Similarly, neuroscience has risen to an esteemed position among the biological sciences without much talk of cognitive processes. Do the fields need each other?... [Y]es because the problem of understanding the mind, unlike the wouldbe problem solvers, respects no disciplinary boundaries. It remains as resistant to neurological as to cognitive analyses. (LeDoux & Hirst, 1986, pp. 1-2)
       Since the Second World War scientists from different disciplines have turned to the study of the human mind. Computer scientists have tried to emulate its capacity for visual perception. Linguists have struggled with the puzzle of how children acquire language. Ethologists have sought the innate roots of social behaviour. Neurophysiologists have begun to relate the function of nerve cells to complex perceptual and motor processes. Neurologists and neuropsychologists have used the pattern of competence and incompetence of their brain-damaged patients to elucidate the normal workings of the brain. Anthropologists have examined the conceptual structure of cultural practices to advance hypotheses about the basic principles of the mind. These days one meets engineers who work on speech perception, biologists who investigate the mental representation of spatial relations, and physicists who want to understand consciousness. And, of course, psychologists continue to study perception, memory, thought and action.
    ... [W]orkers in many disciplines have converged on a number of central problems and explanatory ideas. They have realized that no single approach is likely to unravel the workings of the mind: it will not give up its secrets to psychology alone; nor is any other isolated discipline-artificial intelligence, linguistics, anthropology, neurophysiology, philosophy-going to have any greater success. (Johnson-Laird, 1988, p. 7)

    Historical dictionary of quotations in cognitive science > Mind

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