Mind: Introduction to Cognitive Science, , 2nd Edition

Mind: Introduction to Cognitive Science, , 2nd Edition
by Paul Thagard

Mind: Introduction to Cognitive Science, , 2nd Edition
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Book Summary Information

Author: Paul Thagard
Edition: Paperback
Audio: English (Unknown); English (Original Language); English (Published)
Published: 2005-02-04
ISBN: 026270109X
Number of pages: 280
Publisher: A Bradford Book

Book Reviews of Mind: Introduction to Cognitive Science, , 2nd Edition

Book Review: CRUM: Computational Representational Understanding of the Mind
Summary: 5 Stars

The linguistic-analysis tradition in philosophy had achieved ascendancy in twentieth-century philosophy of science. But it has been characterized by a nominalist view, which admits a two-level semantics consisting of only (1) the linguistic symbol, such as word, and (2) the objects or individual entities the symbol references. Nominalism recognizes no mediating third level consisting of the idea, concept, "intension", proposition, or any other mental reality between linguistic signs and nonlinguistic objects.

The two-level semantics is also the view typically held by the Positivist philosophers, who rejected mentalism in psychology, and who like B.F. Skinner prefer behaviorism. However Thagard, like Herbert Simon, explicitly rejects the behavioristic approach in psychology and advocates cognitive psychology, which recognizes mediating mental realities.

The two-level semantics is also characteristic of philosophers such as Quine who accept the Russellian predicate calculus. This calculus of symbolic logic contains a notational convention that uses quantification to express existence claims. It therefore fabricates an Orwellian-like nominalist newspeak in which predicate terms are semantically vacuous, unless they are placed in the range of quantifiers, such that they reference some kind of entities called either "mental entities" or Platonic "abstract entities." The philosopher Nelson Goodman for example therefore divides all philosophers into nominalists and Platonists. Not surprisingly the Russellian symbolic logic was adopted by the Logical Positivists. Oddly Thagard does not reject the Russellian symbolic logic, although it is not clear that he recognizes the ontological implications of its notational conventions.

In this book, Mind: Introduction to Cognitive Science (1996), intended as an undergraduate textbook, Thagard states that the central hypothesis of cognitive science is that thinking can best be understood in terms both of representational structures in the mind and of computational procedures that operate on those structures. He labels this central hypothesis with the acronym "CRUM", by which he means "Computational Representational Understanding of Mind." This hypothesis assumes that the mind has mental representations analogous to data structures and computational procedures analogous to algorithms, such that computer programs using algorithms applied to data structures can model the mind and its processes.

Readers interested in more commentary on Thagard are invited to read my book titled History of Twentieth-Century Philosophy of Science at my web site philsci with free downloads. See especially BOOK VIII.

Thomas J. Hickey

Summary of Mind: Introduction to Cognitive Science, , 2nd Edition

Cognitive science approaches the study of mind and intelligence from an interdisciplinary perspective, working at the intersection of philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology. With Mind, Paul Thagard offers an introduction to this interdisciplinary field for readers who come to the subject with very different backgrounds. It is suitable for classroom use by students with interests ranging from computer science and engineering to psychology and philosophy.Thagard's systematic descriptions and evaluations of the main theories of mental representation advanced by cognitive scientists allow students to see that there are many complementary approaches to the investigation of mind. The fundamental theoretical perspectives he describes include logic, rules, concepts, analogies, images, and connections (artificial neural networks). The discussion of these theories provides an integrated view of the different achievements of the various fields of cognitive science.This second edition includes substantial revision and new material. Part I, which presents the different theoretical approaches, has been updated in light of recent work the field. Part II, which treats extensions to cognitive science, has been thoroughly revised, with new chapters added on brains, emotions, and consciousness. Other additions include a list of relevant Web sites at the end of each chapter and a glossary at the end of the book. As in the first edition, each chapter concludes with a summary and suggestions for further reading.

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