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Parallel Processing for Artificial Intelligence 3
C.B. Suttner , H. Kitano , J. Geller
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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