Parallelism, Learning, Evolution

1. Front Matter

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2. On parallel consciousness

   • Peter Molzberger

   Pages 1-20

3. Complementarity and non-locality in complex systems

   • Walter v. Lucadou

   Pages 21-55

4. Systems and uncertainty

   • Eduardo R. Caianiello

   Pages 56-66

5. The construction of space and the logics of quantum mechanics

   • Piergiorgio Quadranti

   Pages 67-93

6. Cellular automata and the concept of space

   • Dieter Gernert

   Pages 94-102

7. Multipurpose and special purpose computers

   • Gerhard Fritsch

   Pages 103-120

8. Implementation of divide-and-conquer algorithms on multiprocessors

   • Renate Knecht

   Pages 121-136

9. Some remarks on synchronization problems

   • Roland Vollmar

   Pages 137-147

10. Effective implementation of distributed arbitration in multiprocessor systems

    • M. Makhaniok, V. Cherniavsky, R. Männer, O. Stucky

    Pages 148-156

11. Flowshop and TSP

    • M. P. Pensini, G. Mauri, F. Gardin

    Pages 157-182

12. Architectural considerations for NERV — a general purpose neural network simulation system

    • R. Hauser, H. Horner, R. Männer, M. Makhaniok

    Pages 183-195

13. Associative neural networks in analog VLSI: Advantages of decrementing algorithms

    • V. G. Dobson

    Pages 196-218

14. Connectionist models of utterance production

    • Hans-Jürgen Eikmeyer

    Pages 219-230

15. Self-organization of informational systems

    • G. J. Dalenoort

    Pages 231-242

16. Distributed semantic representation of word meanings

    • Burghard B. Rieger

    Pages 243-273

17. Logic of cognitive representations and their evolution

    • Henri Wermus

    Pages 274-303

18. A modal propositional calculus for quantum facts and dynamical theories

    • H. Atmanspacher, F. R. Krueger, H. Scheingraber

    Pages 304-314

19. Self-organization in computational systems: Advance of a new computational paradigm?

    • Friedhelm W. Mündemann

    Pages 315-325

20. Adaptation and extension: Learning in rigid systems

    • Jörg D. Becker

    Pages 326-334

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.

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

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