Parallel Processing for Artificial Intelligence 3 ( Volume 20 )

Publication series :Volume 20

Author: Geller   J.;Kitano   H.;Suttner   C. B.  

Publisher: Elsevier Science‎

Publication year: 1997

E-ISBN: 9780080553825

P-ISBN(Paperback): 9780444824868

P-ISBN(Hardback):  9780444824868

Subject: TP18 artificial intelligence theory

Language: ENG

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Description

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.

Chapter

Front Cover

pp.:  1 – 4

Copyright Page

pp.:  5 – 8

Introduction

pp.:  6 – 10

Contents

pp.:  8 – 6

About the Editors

pp.:  10 – 12

Part I: Knowledge Representation

pp.:  12 – 130

Part II: Search and Partitioning

pp.:  130 – 190

Part III: Theorem Proving

pp.:  190 – 258

Part IV: Miscellaneous

pp.:  258 – 352

Appendix

pp.:  352 – 358

The users who browse this book also browse