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Title Parallel processing for artificial intelligence 3 / edited by James Geller, Hiroaki Kitano, Christian B. Suttner.

Imprint Amsterdam ; New York : Elsevier, 1997.

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Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Description 1 online resource (x, 345 pages) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Machine intelligence and pattern recognition ; v. 20
Machine intelligence and pattern recognition ; v. 20.
Summary 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.
Bibliography Includes bibliographical references.
Contents Massively Parallel Knowledge Representation and Reasoning: Taking a Cue from the Brain -- Massively Parallel Support for Nonmonotonic Reasoning -- Parallel Operations on Class Hierarchies with Double Strand Representation --PARKA on MIMD-Supercomputers -- A Hybrid Approach to Improving the Performance of Parallel Search -- Static Partitioning with Slackness -- Problem Partition and Solvers Coordination in Distributed Constraint Satisfaction -- Parallel Propagation in the Description-Logic System FLEX -- An Alternative Approach to Concurrent Theorem-Proving -- SiCoTHEO-Simple Competitive Parallel Theorem Provers based on SETHEO -- Low-Level Computer Vision Algorithms: Performance Evaluation on Parallel and Distributed Architectures -- Decision Trees on Parallel Processors -- Application Development under ParCeL- -- AI Applications of Massive Parallelism: An Experience Report.
Note Print version record.
Subject Parallel processing (Electronic computers)
Artificial intelligence.
Computer science.
Artificial Intelligence
Electronic Data Processing
Parallélisme (Informatique)
Intelligence artificielle.
Informatique.
artificial intelligence.
Computer science
Artificial intelligence
Parallel processing (Electronic computers)
Added Author Geller, James.
Kitano, Hiroaki, 1961-
Suttner, Christian B.
Other Form: Print version: Parallel processing for artificial intelligence 3. Amsterdam ; New York : Elsevier, 1997 0444824863 9780444824868 (OCoLC)42644329
ISBN 9780444824868
0444824863
9780080553825 (electronic bk.)
0080553826 (electronic bk.)
Standard No. AU@ 000055617767
CHNEW 001007183
DEBBG BV039832474
DEBBG BV042307740
DEBSZ 405316690
DEBSZ 482357517
NZ1 12433841
NZ1 15190394
DKDLA 820120-katalog:9910110290205765

 
    
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