Parallelism, Learning, Evolution

TRAMA

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.

SOMMARIO

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 genetic algorithms.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783540550273
• Collana: Lecture Notes in Computer Science
• Dimensioni: 250 x 170 mm Ø 905 gr
• Formato: Brossura
• Illustration Notes: X, 530 p.
• Pagine Arabe: 530
• Pagine Romane: x