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

Lawrence A. Bookman (u. a.)

ISBN 10: 1475783191 / ISBN 13: 9781475783193

Published by Springer US, 2013

About this Item

Computational Architectures Integrating Neural and Symbolic Processes | A Perspective on the State of the Art | Lawrence A. Bookman (u. a.) | Taschenbuch | xx | Englisch | 2013 | Springer US | EAN 9781475783193 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 105650423

Bibliographic Details

• Title: Computational Architectures Integrating Neural and Symbolic Processes | A Perspective on the State of the Art
• Publisher: Springer US
• Publication Date: 2013
• Language: English
• ISBN 10: 1475783191
• ISBN 13: 9781475783193
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 27D millimeters 235 millimeters width by 155 millimeters height by 27 millimeters depth
• Weight: 750 grams
• Seller catalogs:
  • Bücher

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.