Intelligence and Artificial Intelligence: An Interdisciplinary Debate
Author:   Ulrich Ratsch ,  Michael M. Richter ,  Ion-Olimpiu Stamatescu
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of hardcover 1st ed. 1998
ISBN:  

9783642083587


Pages:   216
Publication Date:   05 December 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Intelligence and Artificial Intelligence: An Interdisciplinary Debate


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Overview

Cognition and artificial intelligence are entering a new era in which the aspects of symbolic manipulation and of connectionism begin to come together. This leads to a dialog of truly interdisciplinary character. The book covers aspects of fuzzy logic, case based reasoning, learning as well as meaning, language, and consciousness. The authors of this topical volume have their background in logic, computer science, physics and mathematics, philosophy, psychology and neurobiology.

Full Product Details

Author:   Ulrich Ratsch ,  Michael M. Richter ,  Ion-Olimpiu Stamatescu
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of hardcover 1st ed. 1998
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783642083587


ISBN 10:   3642083587
Pages:   216
Publication Date:   05 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Intelligence: A Nomadic Concept.- Self-consciousness as a Philosophical Problem.- Meaning Skepticism and Cognitive Science.- Frege’s Sense and Tarski’s Undefinability.- Logics of Knowing and Believing.- Knowledge-Based Systems.- Neural Networks.- Problem Solving with Neural Networks.- Paradigm Shifts in the Neurobiology of Perception.- Neural Network Models in Psychology and Psychopathology.- Questions Concerning Learning in Neural Networks.

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