Becker / Eisele / Mündemann | Parallelism, Learning, Evolution | Buch | 978-3-540-55027-3 | sack.de

Buch, Englisch, 530 Seiten, Format (B × H): 170 mm x 250 mm, Gewicht: 905 g

Reihe: Lecture Notes in Artificial Intelligence

Becker / Eisele / Mündemann

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
1. Auflage 1991
ISBN: 978-3-540-55027-3
Verlag: Springer

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

Buch, Englisch, 530 Seiten, Format (B × H): 170 mm x 250 mm, Gewicht: 905 g

Reihe: Lecture Notes in Artificial Intelligence

ISBN: 978-3-540-55027-3
Verlag: Springer


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.

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Weitere Infos & Material


On parallel consciousness.- Complementarity and non-locality in complex systems.- Systems and uncertainty.- The construction of space and the logics of quantum mechanics.- Cellular automata and the concept of space.- Multipurpose and special purpose computers.- Implementation of divide-and-conquer algorithms on multiprocessors.- Some remarks on synchronization problems.- Effective implementation of distributed arbitration in multiprocessor systems.- Flowshop and TSP.- Architectural considerations for NERV — a general purpose neural network simulation system.- Associative neural networks in analog VLSI: Advantages of decrementing algorithms.- Connectionist models of utterance production.- Self-organization of informational systems.- Distributed semantic representation of word meanings.- Logic of cognitive representations and their evolution.- A modal propositional calculus for quantum facts and dynamical theories.- Self-organization in computational systems: Advance of a new computational paradigm?.- Adaptation and extension: Learning in rigid systems.- Chaotic dynamics of generating Markov partitions, and linguistic sequences mimicking Zipf's law.- Optimization and complexity in molecular biology and physics.- Understanding evolution as a collective strategy for groping in the dark.- Parallel genetic algorithms, population genetics and combinatorial optimization.- ASPARAGOS a parallel genetic algorithm and population genetics.- Evolution: Travelling in an imaginary landscape.- Finding the global minimum of a low-dimensional spin-glass model.- Ten theses regarding the design of controlled evolutionary strategies.- Incommensurability of liouvillean dynamics and information dynamics.- Selforganization by evolution strategy in visual systems.- On steiner trees and geneticalgorithms.



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