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Deep Fusion of Computational and Symbolic Processing

  • Takeshi Furuhashi
  • Shun’Ichi Tano
  • Hans-Arno Jacobsen

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 59)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Integration of Computational and Symbolic Processing

  3. Toward Deep Fusion of Computational and Symbolic Processing

    1. Front Matter
      Pages 71-71
    2. Ralf Schoknecht, Martin Spott, Martin Riedmiller
      Pages 73-103
    3. I. Takeuchi, T. Furuhashi
      Pages 104-120
  4. Knowledge Representation

  5. Back Matter
    Pages 251-257

About this book

Introduction

Symbolic processing has limitations highlighted by the symbol grounding problem. Computational processing methods, like fuzzy logic, neural networks, and statistical methods have appeared to overcome these problems. However, they also suffer from drawbacks in that, for example, multi-stage inference is difficult to implement. Deep fusion of symbolic and computational processing is expected to open a new paradigm for intelligent systems. Symbolic processing and computational processing should interact at all abstract or computational levels. For this undertaking, attempts to combine, hybridize, and fuse these processing methods should be thoroughly investigated and the direction of novel fusion approaches should be clarified. This book contains the current status of this attempt and also discusses future directions.

Keywords

Computational Processing Neuro-symbolic System Symbolic Processing control dynamical systems fuzzy logic fuzzy sets information processing intelligence knowledge representation learning logic machine learning modeling neural networks

Editors and affiliations

  • Takeshi Furuhashi
    • 1
  • Shun’Ichi Tano
    • 2
  • Hans-Arno Jacobsen
    • 3
  1. 1.Department of Information and ElectronicsNagoya UniversityNagoyaJapan
  2. 2.Graduate School of Information SystemsUniversity of Electro-CommunicationsChoufuJapan
  3. 3.Project CARAVELINRIA-RocquencourtLe Chesnay CedexFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1837-6
  • Copyright Information Physica-Verlag Heidelberg 2001
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-662-00373-2
  • Online ISBN 978-3-7908-1837-6
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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