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Analysis of Dynamical and Cognitive Systems

Advanced Course, Stockholm, Sweden, August 9 - 14, 1993. Proceedings

  • Conference proceedings
  • © 1995

Overview

Editors:
  1. Stig I. Andersson
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 888)

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Table of contents (10 papers)

  1. Front Matter

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  2. The limits of mathematics course outline and software

    • G. J. Chaitin
    Pages 1-1

  3. Historical background of Gödel's theorem

    • Jan Tarski
    Pages 3-7

  4. A formal scheme for avoiding undecidable problems. Applications to chaotic behavior characterization and parallel computation

    • Antonio L. Perrone
    Pages 9-52

  5. Cellular neural networks — A tutorial on programmable nonlinear dynamics in space

    • L. O. Chua, T. Roska, T. Kozek
    Pages 53-73

  6. Neural coding: A theoretical vista of mechanisms, techniques, and applications

    • J. Leo van Hemmen, Raphael Ritz
    Pages 75-119

  7. Hebbian unlearning

    • Stefan Wimbauer, J. Leo van Hemmen
    Pages 121-136

  8. Mapping discounted and undiscounted Markov Decision Problems onto Hopfield neural networks

    • Alexandru Murgu
    Pages 137-167

  9. “Blob” analysis of biomedical image sequences: A model-based and an inductive approach

    • Sören Molander
    Pages 169-187

  10. Simplicity criteria for dynamical systems

    • Petr Kůrka
    Pages 189-225

  11. Analysis of dynamical systems using predicate transformers: Attraction and composition

    • M. Sintzoff, F. Geurts
    Pages 227-260

  12. Back Matter

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Keywords

About this book

This volume constitutes the documentation of the advanced course on Analysis of Dynamical and Cognitive Systems, held during the Summer University of Southern Stockholm in Stockholm, Sweden in August 1993.
The volume contains eight carefully revised full versions of the invited three-to-four hour presentations as well as two abstracts. As a consequence of the interdisciplinary topic, several aspects of dynamical and cognitive systems are addressed: there are three papers on computability and undecidability, five tutorials on diverse aspects of universal cellular neural networks, and two presentations on dynamical systems and complexity.

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