Physical Computation And Cognitive Science
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Physical Computation and Cognitive Science
Author: Nir Fresco
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-10-12
This book presents a study of digital computation in contemporary cognitive science. Digital computation is a highly ambiguous concept, as there is no common core definition for it in cognitive science. Since this concept plays a central role in cognitive theory, an adequate cognitive explanation requires an explicit account of digital computation. More specifically, it requires an account of how digital computation is implemented in physical systems. The main challenge is to deliver an account encompassing the multiple types of existing models of computation without ending up in pancomputationalism, that is, the view that every physical system is a digital computing system. This book shows that only two accounts, among the ones examined by the author, are adequate for explaining physical computation. One of them is the instructional information processing account, which is developed here for the first time. "This book provides a thorough and timely analysis of differing accounts of computation while advancing the important role that information plays in understanding computation. Fresco’s two-pronged approach will appeal to philosophically inclined computer scientists who want to better understand common theoretical claims in cognitive science.” Marty J. Wolf, Professor of Computer Science, Bemidji State University “An original and admirably clear discussion of central issues in the foundations of contemporary cognitive science.” Frances Egan, Professor of Philosophy, Rutgers, The State University of New Jersey
Cognitive Science and Technology
Cognitive science is an important tool to understand all the cognitive processes of the human brain, such as memory, attention, reasoning, etc. This book on cognitive science explores the scope of this field, which includes cognitive psychology, cognitive pedagogics, psycholinguistics, cognitive linguistics, educational technology, etc. Researches and studies performed by experts across the globe have been presented in this book in a coherent manner. It will serve as a valuable source of reference for graduate and post graduate students and will provide them innovative insights into this discipline.
Computational Philosophy of Science
By applying research in artificial intelligence to problems in the philosophy of science, Paul Thagard develops an exciting new approach to the study of scientific reasoning. This approach uses computational ideas to shed light on how scientific theories are discovered, evaluated, and used in explanations. Thagard describes a detailed computational model of problem solving and discovery that provides a conceptually rich yet rigorous alternative to accounts of scientific knowledge based on formal logic, and he uses it to illuminate such topics as the nature of concepts, hypothesis formation, analogy, and theory justification.