Computational Architectures Integrating Neural And Symbolic Processes

A Perspective on the State of the Art

  • Ron Sun
  • Lawrence A. Bookman

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Parallelism in inheritance hierarchies with exceptions

  3. Localist Architectures

  4. Distributed Architectures

    1. Front Matter
      Pages 151-152
    2. Risto Miikkulainen
      Pages 153-186
    3. David C. Noelle, Garrison W. Cottrell
      Pages 187-221
    4. Noel E. Sharkey, Stuart A. Jackson
      Pages 223-244
  5. Combined Architectures

  6. Commentaries

  7. Back Matter
    Pages 431-475

About this book


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.


Processing artificial intelligence cognitive psychology cognitive science computer computer science intelligence knowledge natural language natural language processing networks neural networks

Editors and affiliations

  • Ron Sun
    • 1
  • Lawrence A. Bookman
    • 2
  1. 1.The University of AlabamaTuscaloosaUSA
  2. 2.Sun Microsystems LaboratoriesChelmsfordUSA

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 1995
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-7923-9517-1
  • Online ISBN 978-0-585-29599-2
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site
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