Parallel Computation and Computers for Artificial Intelligence

Parallel Computation and Computers for Artificial Intelligence edited by J.S. Kowalik.

It has been widely recognized that artificial intelligence computations offer large potential for distributed and parallel processing. Unfortunately, not much is known about designing parallel AI algorithms and efficient, easy-to-use parallel computer architectures for AI applications. The field of...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kowalik, J.S (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 1988.
Edition:1st ed. 1988.
Series:The Springer International Series in Engineering and Computer Science, 26
Springer eBook Collection.
Subjects:
Microprocessors.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • I: Parallel Computation
  • 1. Parallel Processing in Artificial Intelligence
  • 2. Parallel Computing Using Multilisp
  • 3. Execution of Common Lisp Programs in a Parallel Environment
  • 4. Qlisp
  • 5. Restricted AND-Parallel Execution of Logic Programs
  • 6. Parlog: Parallel Programming in Logic
  • 7. Data-driven Processing of Semantic Nets
  • II: Parallel Computers
  • 8. Application of the Butterfly Parallel Processor in Artificial Intelligence
  • 9. On the Range of Applicability of an Artificial Intelligence Machine
  • 10. Low-level Vision on Warp and the Apply Programming Model
  • 11. AHR: A Parallel Computer for Pure Lisp
  • 12. FAIM-1: An Architecture for Symbolic Multiprocessing
  • 13. Overview of AI Application-Oriented Parallel Processing Research in Japan
  • A Survey on Special Purpose Computer Architecture for AI Benjamin W. Wah and Guo-Jie Li.

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