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Paperback The Future of the Cognitive Revolution Book

ISBN: 0195103343

ISBN13: 9780195103342

The Future of the Cognitive Revolution

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.

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Customer Reviews

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From a Computer Scientist to Cognitive Scientists

This is a very well organized collection of papers. It is written in a language that is accessible to a broad audience. The introductions to book sections are excellent (or, "masterful," as R. Taraban puts it in CONTEMPORARY PSYCHOLOGY, 1998, Vol. 43, No. 10, p. 681). The best thing about this book is its coverage of current issues and perspectives in Cognitive Science. I recommend this book as an introductory reading assignment for a graduate course in Artificial Intelligence.
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