Editors:
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 292)
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Table of contents (12 chapters)
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Front Matter
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Parallelism in inheritance hierarchies with exceptions
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Distributed Architectures
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Front Matter
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Back Matter
About this book
Computational Architectures Integrating Neural and Symbolic Processes addresses the underlying architectural aspects of the integration of neural and symbolic processes. In order to provide a basis for a deeper understanding of existing divergent approaches and provide insight for further developments in this field, this book presents: (1) an examination of specific architectures (grouped together according to their approaches), their strengths and weaknesses, why they work, and what they predict, and (2) a critique/comparison of these approaches.
Computational Architectures Integrating Neural and Symbolic Processes is of interest to researchers, graduate students, and interested laymen, in areas such as cognitive science, artificial intelligence, computer science, cognitive psychology, and neurocomputing, in keeping up-to-date with the newest research trends. It is a comprehensive, in-depth introduction to this new emerging field.
Editors and Affiliations
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The University of Alabama, Tuscaloosa, USA
Ron Sun
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Sun Microsystems Laboratories, Chelmsford, USA
Lawrence A. Bookman
Bibliographic Information
Book Title: Computational Architectures Integrating Neural and Symbolic Processes
Book Subtitle: A Perspective on the State of the Art
Editors: Ron Sun, Lawrence A. Bookman
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/b102608
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1995
Hardcover ISBN: 978-0-7923-9517-1Published: 30 November 1994
Softcover ISBN: 978-1-4757-8319-3Published: 26 April 2013
eBook ISBN: 978-0-585-29599-2Published: 19 August 2007
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XX, 476
Topics: Artificial Intelligence, Complex Systems, Computer Science, general, Statistical Physics and Dynamical Systems