Parallel Processing for Artificial Intelligence 3
β Scribed by James Geller, Hiroaki Kitano and Christian B. Suttner (Eds.)
- Publisher
- Academic Press, Elsevier
- Year
- 1997
- Leaves
- 336
- Series
- Machine Intelligence and Pattern Recognition 20
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content:
Introduction
Pages v-vi
About the editors
Pages ix-x
Massively parallel knowledge representation and reasoning: Taking a cue from the brain Original Research Article
Pages 3-40
Lokendra Shastri, D.R. Mani
Massively parallel support for nonmonotonic reasoning Original Research Article
Pages 41-67
B. Boutsinas, Y.C. Stamatiou, G. Pavlides
Parallel operations on class hierarchies with double strand representation Original Research Article
Pages 69-94
Eunice (Yugyung) Lee, James Geller
Parka on MIMD-supercomputers Original Research Article
Pages 95-118
Kilian Stoffel, James Hendler, Joel Saltz
A hybrid approach to improving the performance of parallel search Original Research Article
Pages 121-143
Diane J. Cook
Static partitioning with slackness Original Research Article
Pages 145-163
Christian B. Suttner
Problem partition and solvers coordination in distributed constraint satisfaction Original Research Article
Pages 165-178
P. Berlandier, B. Neveu
Parallel propagation in the description-logic system FLEX Original Research Article
Pages 181-207
Frank W. Bergmann, J. Joachim Quantz
An alternative approach to concurrent theorem-proving Original Research Article
Pages 209-230
Michael Fisher
SiCoTHEOβSimple competitive parallel theorem provers based on SETHEO Original Research Article
Pages 231-246
Johann Schumann
Low-Level computer vision algorithms: Performance evaluation on parallel and distributed architectures Original Research Article
Pages 249-278
G. Destri, P. Marenzoni
Decision trees on parallel processors Original Research Article
Pages 279-306
Richard Kufrin
Application development under ParCeL-1 Original Research Article
Pages 307-326
Yannick Lallement, Thierry Cornu, StΓ©phane Vialle
AI applications of massive parallelism: An experience report Original Research Article
Pages 327-339
David L. Waltz
Appendix
Pages 341-345
π SIMILAR VOLUMES
Parallel processing for A1 problems is of great current interest because of its potential for alleviating the computational demands of Al procedures. The articles in this book consider parallel processing for problems in several areas of artificial intelligence: image processing, knowledge represent
</header><div itemprop="description" class="collapsable text"><p>Parallel processing for AI problems is of great current interest because of its potential for alleviating the computational demands of AI procedures. The articles in this book consider parallel processing for problems in several areas
With the increasing availability of parallel machines and the raising of interest in large scale and real world applications, research on parallel processing for Artificial Intelligence (Al) is gaining greater importance in the computer science environment. Many applications have been implemented an
This is the third volume in an informal series of books about parallel processing for artificial intelligence. It 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 assumpti