Conference proceedings Hybrid Neural Systems 1998

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1778)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1778)

Table of contents

  1. Front Matter
  2. An Overview of Hybrid Neural Systems

    1. Stefan Wermter, Ron Sun
      Pages 1-13
  3. Structured Connectionism and Rule Representation

  4. Distributed Neural Architectures and Language Processing

    1. Stefan C. Kremer, John F. Kolen
      Pages 107-122
    2. Christian W. Omlin, Lee Giles, K. K. Thornber
      Pages 123-143
    3. Marshall R. Mayberry III, Risto Miikkulainen
      Pages 144-157
    4. Stefan Wermter, Garen Arevian, Christo Panchev
      Pages 158-174
    5. William C. Morris, Garrison W. Cottrell, Jeffrey Elman
      Pages 175-193
    6. Paolo Frasconi, Marco Gori, Alessandro Sperduti
      Pages 211-225
  5. Transformation and Explanation

    1. Alan B. Tickle, Frederic Maire, Guido Bologna, Robert Andrews, Joachim Diederich
      Pages 226-239
    2. Marilyn L. Vaughn, Steven J. Cavill, Stewart J. Taylor, Michael A. Foy, Anthony J. B. Fogg
      Pages 270-285
    3. Hod Lipson, Hava T. Siegelmann
      Pages 286-297
    4. James A. Hammerton, Barry L. Kalman
      Pages 298-312
  6. Robotics, Vision and Cognitive Approaches

    1. Noel Sharkey, Tom Ziemke
      Pages 313-332
    2. Timo Honkela
      Pages 348-362
    3. Christos Orovas, James Austin
      Pages 372-386
    4. Gerhard Kraetzschmar, Stefan Sablatnög, Stefan Enderle, Günther Palm
      Pages 387-401
  7. Back Matter

Other volumes

  1. First International Workshop, HSCC'98 Berkeley, California, USA, April 13 – 15, 1998 Proceedings
  2. Hybrid Neural Systems

About these proceedings


Hybrid neural systems are computational systems which are based mainly on artificial neural networks and allow for symbolic interpretation or interaction with symbolic components. This book is derived from a workshop held during the NIPS'98 in Denver, Colorado, USA, and competently reflects the state of the art of research and development in hybrid neural systems.
The 26 revised full papers presented together with an introductory overview by the volume editors have been through a twofold process of careful reviewing and revision. The papers are organized in the following topical sections: structured connectionism and rule representation; distributed neural architectures and language processing; transformation and explanation; robotics, vision, and cognitive approaches.


Fuzzy Neural systems algorithmic learning artificial neural networks classification cognitive science connectionism hybrid neural systems learning neural architectures neuroscience robot robotics

Editors and affiliations

  • Stefan Wermter
    • 1
  • Ron Sun
    • 2
  1. 1.University of SunderlandSunderlandUnited Kingdom
  2. 2.CECS DepartmentUniversity of Missouri-Colombia ColumbiaUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2000
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-67305-7
  • Online ISBN 978-3-540-46417-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site