Cover image for Multi-computer architectures for artificial intelligence : toward fast, paralled systems
Title:
Multi-computer architectures for artificial intelligence : toward fast, paralled systems
Personal Author:
Publication Information:
New York : John Wiley, 1987
ISBN:
9780471849797

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
Searching...
30000000815385 Q336 U57 1987 Open Access Book Book
Searching...

On Order

Summary

Summary

This volume is the most current and complete evaluation of multi-computer networks. It presents an up-to-date and detailed survey which describes the large number of multi-computer architectures that have been built during the past few years, and the even greater variety that are presently being built, designed, and explored. Special emphasis is given to approaches that show promise for handling complex real-world problems in real time. Describes the range of problems that confront workers in artificial intelligence (AI), and explains some of the major approaches being taken by AI researchers, focusing on the robust, flexible, extremely fast (hence highly parallel) systems. Presents judgements and opinions as to the most promising multi-computer archtectures for AI--including a number of exciting multi-computer structures.


Reviews 1

Choice Review

A stimulating introduction to an emerging research area-the combination of parallel computer architecture and artificial intelligence. Uhr, well known in the field, has skillfully summarized the past research efforts and presents the materials in nontechnical terms with special emphasis on future possibilities. After background information is provided, parallel and process-structured multicomputer architectures are discussed. Major approaches of artificial intelligence are next presented, and last, the current state of the art with a look to the future is summarized. The book is easy to follow and is written as an interpretive summary without the distraction of technical details. An extensive reference list and an extended index are particularly useful to the interested reader who wants to pursue a specific topic. Highly recommended for upper-division undergraduates or as a general college reference source.-J.Y. Cheung, University of Oklahoma