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