Mind: Introduction to Cognitive Science - A Review
نویسندگان
چکیده
literature and theories put forth to date. Thagard summarizes results of research to date: “the central hypothesis of cognitive science: Thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures” (p. 10). He uses a shorthand notation for this approach: the computational-representational understanding of mind (CRUM). One wonders at this point just how pessimistic his view will be of research to date. Is CRUM just a nice, pronounceable acronym, or does he intend to include all the overtones Understanding the mind is one of the great “holy grails” of twentieth-century research. Regardless of training, most people who come in contact with the field of AI are at least partially motivated by the glimmer of hope that they will get a better understanding of the mind. This quest, of course, is a rich and complex one. It is easy to get mired in minutiae along the way, be they the optimization of an algorithm, the details of a mental model, or the intricacies of a logical argument. Thagard’s book attempts to call us back to the larger picture and to draw in new devotees—and, in general, he succeeds. This book begins, “Cognitive science is the interdisciplinary study of mind and intelligence...” (p. ix); so, we assembled a cross-disciplinary review team that included researchers from the fields of AI, cognitive science, neuroscience, and philosophy. This multidisciplinary approach seemed appropriate because this book attempts to be a bridge book, written for a wide audience covering these areas and more. The book is divided into two major sections: (1) Approaches to Cognitive Science and (2) Challenges to Cognitive Science. The first section is a survey of major trends in the research. The second section delineates and analyzes open problems and research issues.
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ورودعنوان ژورنال:
- AI Magazine
دوره 19 شماره
صفحات -
تاریخ انتشار 1998