ENGLISH

Massively Parallel Models of Computation: Distributed Parallel Processing in Artificial Intelligence and Optimization (Ellis Horwood Series in Artif)

By Valmir C. Barbosa

Book information

Publisher
Prentice Hall
Year
1993
ISBN
0135629683, 9780135629680
LCC
QA76.642 B37 1993
Open Library ID
OL1032848M
Language
english
Format
PDF
Filesize
10 MB (10492121 bytes)
Series
Ellis Horwood Series in Artif
Pages
132\132
Time added
2010-05-31 15:29:46

Description

This book covers the simulation by distributed parallel computers of massively parallel models of interest in artificial intelligence and optimization, bringing together two major areas of current interest within computer science - distributed parallel processing and massively parallel models in artificial intelligence and optimization. Throughout the nine chapters a series of important massively parallel models of computation are surveyed, including cellular automata, Hopfield neural networks, Bayesian networks, Markov random fields, Boltzmann machines, and other "path-following" neural networks with important applications to the solution of mathematical problems. Emphasis is placed on the dynamic behaviour of these models, underlining the importance of discussing algorithmic and programming techniques for their simulation by parallel computers.

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