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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Book Description Horwood, London, 1993. Book Condition: As New. xii 253p hardback, long proofs, bibliography, index, earlier price mark, a little shelf wear to cover, a fresh and firm copy, unused, this title was published in the series Artificial Intelligence. Bookseller Inventory # PAB 177389
Book Description Prentice Hall Ellis Horwood, 1993. Hard Cover. Book Condition: very Good. Dust Jacket Condition: Glossy Cover. ex library; very good; no dj as issued. pocket ; slight water stain. Bookseller Inventory # 014522
Book Description Bookseller Inventory # SKU-3189924
Book Description Hardcover. Book Condition: As New. Bookseller Inventory # S-509-60
Book Description Prentice Hall, 1993. Hardcover. Book Condition: Good. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!. Bookseller Inventory # 0135629683