The third in an informal series of books about parallel processing for Artificial Intelligence, this volume is based on the assumption that the computational demands of many AI tasks can be better served by parallel architectures than by the currently popular workstations. However, no assumption is made about the kind of parallelism to be used. Transputers, Connection Machines, farms of workstations, Cellular Neural Networks, Crays, and other hardware paradigms of parallelism are used by the authors of this collection.
The papers arise from the areas of parallel knowledge representation, neural modeling, parallel non-monotonic reasoning, search and partitioning, constraint satisfaction, theorem proving, parallel decision trees, parallel programming languages and low-level computer vision. The final paper is an experience report about applications of massive parallelism which can be said to capture the spirit of a whole period of computing history.
This volume provides the reader with a snapshot of the state of the art in Parallel Processing for Artificial Intelligence.
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- © North Holland 1997
- 10th February 1997
- North Holland
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@qu:...This volume provides the reader with a snapshot of the state of the art in Parallel Processing for Artificial Intelligence. @source:Zentralblatt fur Mathematik
New Jersey Institute of Technology, CIS Department, Newark NJ, USA
Sony Computer Science Laboratory, Tokyo, Japan
Institute of Informatics, Technical University of Munich, Germany