The basic idea of the particular way of understanding mental phenomena that has inspired the "cognitive revolution" is that, as a result of certain relatively recent intellectual and technological innovations, informed theorists now possess a more powerfully insightful comparison or model for mind than was available to any thinkers in the past. The model in question is that of software, or the list of rules for input, output, and internal transformations by which we determine and control the workings of a (...) computing machine's hardware. Although this comparison and its many implications have dominated work in the philosophy, psychology, and neurobiology of mind since the end of the Second World War, it now shows increasing signs of losing its once virtually unquestioned preeminence. Thus we now face the question of whether it is possible to repair and save this model by means of relatively inessential "tinkering", or whether we must reconceive it fundamentally and replace it with something different. In this book, twenty-eight leading scholars from diverse fields of "cognitive science"-linguistics, psychology, neurophysiology, and philosophy- present their latest, carefully considered judgements about what they think will be the future course of this intellectual movement, that in many respects has been a watershed in our contemporary struggles to comprehend that which is crucially significant about human beings. Jerome Bruner, Noam Chomsky, Margaret Boden, Ulric Neisser, Rom Harre, Merlin Donald, among others, have all written chapters in a non-technical style that can be enjoyed and understood by an inter-disciplinary audience of psychologists, philosophers, anthropologists, linguists, and cognitive scientists alike. (shrink)

As a new field, cognitivism began with the total rejection of the old, traditional views of language acquisition and of learning ─ individual and collective alike. Chomsky was one of the pioneers in this respect, yet he clouds issues by excessive claims for his originality and by not allowing the beginner in the art of the acquisition of language the use of learning by making hypotheses and testing them, though he acknowledges that researchers, himself included, do use this method. The (...) most important novelty of Chomsky's work is his idealization of the field by postulating the existence of the ideal speaker-hearer and his suggestion that the hidden structure of sentences is revealed by studying together all sentences that are logically equivalent to each other. This is progress, but his tests of equivalence are insufficient, as they all are within classical logic. This limitation rests on the greatest shortcoming of Chomsky's view, his idea that every sentence has one subject or subject-part, contrary to the claim of Frege and Russell that assertions involving relations (with two-place predicates) are structurally different from those involving properties (with one-place predicates). (See the Appendix below.). (shrink)

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Philosophers in the tradition of Berkeley say that the first step in gaining knowledge from perception is to report or describe one's perceptual data, or that which one sees ‘immediately'. Further, perceptual data are existing things of some sort, and always are exactly as they appear to be since, as H. H. Price says, “in the sphere of the given … what seems, is”. However, these two claims about perceptual data are sometimes incompatible, as the following case shows. Suppose a (...) man looking at a speckled hen reports that it has many speckles but is not able to report the exact number of speckles it has. If above is correct, the man's perceptual datum, as opposed to the physical hen itself which he sees—according to Berkeleians—in a merely indirect sense, would have to be indeterminate in character. Yet we assume that everything which exists ) is and has to be completely determinate. A person's knowledge is indeterminate if he knows that the planet Mars has either two or three satellites and doesn't know which. But Mars itself at any moment has to have some definite number of satellites. (shrink)

Abstract Is it plausible to claim (some) non?human animals have beliefs, on the (non?behaviourist) assumption that believing is or involves subjects? engaging in practical reasoning which takes account of meanings? Some answer Yes, on the ground that evolutionary continuities linking humans with other animals must include psychological ones. But (1) evolution does not operate?even primarily?by means of continuities. Thus species, no matter how closely related (in fact, sometimes even conspecifics) operate with very different adaptive ?tricks'; and it is plausible to (...) think these, rather than the physiological ?groundings? underlying them, are the best means of (analogies for) explaining beliefs. Also (2) it is reasonable to assimilate most cases ?down? to creatures (e.g. flies) that obviously lack beliefs rather than ?up? to others (chimpanzees) that apparently possess belief?like states (proto?beliefs), because observation shows the internal workings of such middle animals? ?beliefs? differ markedly from the corresponding things humans do. For example, ducks do not have beliefs about the numbers of objects, because although they estimate numerically, they do it in a way that is much more firmly connected to perceiving than would be the case either with counting or a counting?like process. (shrink)

What holds together the various fields, which - considered together - are supposed to constitute the general intellectual discipline that people now call cognitive science? Some theorists identify the common subject matter as the mind, but scientists have not been able to agree on any single, satisfactory answer to the question of what the mind is. This book argues that all cognitive sciences are not equal, and that rather only neurophysiology and cultural psychology are suited to account for the mind's (...) ontology. (shrink)