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Parallelism, Learning, Evolution

Workshop on Evolutionary Models and Strategies Neubiberg, Germany, March 10–11, 1989 Workshop on Parallel Processing: Logic, Organization, and Technology — WOPPLOT 89 Wildbad Kreuth, Germany, July 24–28, 1989 Proceedings

  • Editors
  • J. D. Becker
  • I. Eisele
  • F. W. Mündemann
Conference proceedings WOPPLOT 1989

Part of the Lecture Notes in Computer Science book series (LNCS, volume 565)

Table of contents

  1. Front Matter
  2. Peter Molzberger
    Pages 1-20
  3. Eduardo R. Caianiello
    Pages 56-66
  4. Dieter Gernert
    Pages 94-102
  5. Gerhard Fritsch
    Pages 103-120
  6. Roland Vollmar
    Pages 137-147
  7. M. Makhaniok, V. Cherniavsky, R. Männer, O. Stucky
    Pages 148-156
  8. M. P. Pensini, G. Mauri, F. Gardin
    Pages 157-182
  9. R. Hauser, H. Horner, R. Männer, M. Makhaniok
    Pages 183-195
  10. Hans-Jürgen Eikmeyer
    Pages 219-230
  11. G. J. Dalenoort
    Pages 231-242
  12. Burghard B. Rieger
    Pages 243-273
  13. H. Atmanspacher, F. R. Krueger, H. Scheingraber
    Pages 304-314
  14. P. M. Allen, M. J. Lesser
    Pages 419-441
  15. J. Hesser, R. Männer, O. Stucky
    Pages 509-525
  16. Back Matter

About these proceedings

Introduction

This volume presents the proceedings of a workshop on evolutionary models and strategies and another workshop on parallel processing, logic, organization, and technology, both held in Germany in 1989. In the search for new concepts relevant for parallel and distributed processing, the workshop on parallel processing included papers on aspects of space and time, representations of systems, non-Boolean logics, metrics, dynamics and structure, and superposition and uncertainties. The point was stressed that distributed representations of information may share features with quantum physics, such as the superposition principle and the uncertainty relations. Much of the volume contains material on general parallel processing machines, neural networks, and system-theoretic aspects. The material on evolutionary strategies is included because these strategies will yield important and powerful applications for parallel processing machines, and open the wayto new problem classes to be treated by computers.

Keywords

Evolutionary Strategies Evolutionsstrategien Neural Networks Neuronale Netzwerke Nicht-Boolsche Logiken Non-Boolean Logics Parallel Processing Quantum Physics evolution learning logic neural network uncertainty

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-55027-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 1991
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-55027-3
  • Online ISBN 978-3-540-46663-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site