Computational Architectures Integrating Neural and Symbolic Processes: A Perspective of the State of the Art

Ron Sun et Lawrence A. Bookman

ISBN 10: 0792395174 / ISBN 13: 9780792395171

Published by Springer, 1995

About this Item

Ancien livre de bibliothèque. Couverture légèrement déchirée. Edition 1995. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slightly torn cover. Edition 1995. Ammareal gives back up to 15% of this item's net price to charity organizations.

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Bibliographic Details

• Title: Computational Architectures Integrating Neural and Symbolic Processes: A Perspective of the State of the Art
• Publisher: Springer
• Publication Date: 1995
• Language: English
• ISBN 10: 0792395174
• ISBN 13: 9780792395171
• Binding: Hardcover
• Condition: Très bon

About this title

Synopsis

Computational Architectures Integrating Neural and Symbolic Processes: A Perspective on the State of the Art focuses on a currently emerging body of research. With the reemergence of neural networks in the 1980s with their emphasis on overcoming some of the limitations of symbolic AI, there is clearly a need to support some form of high-level symbolic processing in connectionist networks. As argued by many researchers, on both the symbolic AI and connectionist sides, many cognitive tasks, e.g. language understanding and common sense reasoning, seem to require high-level symbolic capabilities. How these capabilities are realized in connectionist networks is a difficult question and it constitutes the focus of 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.