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Parallel Computation and Computers for Artificial Intelligence

  • Book
  • © 1988

Overview

Editors:
  1. Janusz S. Kowalik

    1. Boeing Computer Services, Bellevue, USA
      University of Washington, Seattle, USA

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xxv
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  2. Parallel Computation

    1. Front Matter

      Pages 1-1
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    2. Parallel Processing in Artificial Intelligence

      • Scott E. Fahlman
      Pages 3-19

    3. Parallel Computing Using Multilisp

      • Robert H. Halstead Jr.
      Pages 21-49

    4. Execution of Common Lisp Programs in a Parallel Environment

      • Patrick F. McGehearty, Edward J. Krall
      Pages 51-62

    5. Qlisp

      • Richard P. Gabriel, John McCarthy
      Pages 63-89

    6. Restricted and-Parallel Execution of Logic Programs

      • Doug DeGroot
      Pages 91-107

    7. Parlog: Parallel Programming in Logic

      • Keith Clark, Steve Gregory
      Pages 109-130

    8. Data-Driven Processing of Semantic Nets

      • Lubomir Bic
      Pages 131-149

  3. Parallel Computers

    1. Front Matter

      Pages 151-151
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    2. Application of the Butterfly Parallel Processor in Artificial Intelligence

      • Donald C. Allen, N. S. Sridharan
      Pages 153-164

    3. On the Range of Applicability of an Artificial Intelligence Machine

      • David Elliot Shaw
      Pages 165-184

    4. Low-Level Vision on Warp and the Apply Programming Model

      • Leonard G. C. Hamey, Jon A. Webb, I-Chen Wu
      Pages 185-199

    5. AHR: A Parallel Computer for Pure Lisp

      • Adolfo Guzman
      Pages 201-221

    6. Faim-1: An Architecture for Symbolic Multiprocessing

      • Alan L. Davis
      Pages 223-246

    7. Overview of AI Application-Oriented Parallel Processing Research in Japan

      • Ryutarou Ohbuchi
      Pages 247-260

  4. Back Matter

    Pages 261-291
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Keywords

About this book

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 parallel computation and computers for AI is in its infancy, but some significant ideas have appeared and initial practical experience has become available. The purpose of this book has been to collect in one volume contributions from several leading researchers and pioneers of AI that represent a sample of these ideas and experiences. This sample does not include all schools of thought nor contributions from all leading researchers, but it covers a relatively wide variety of views and topics and in this sense can be helpful in assessing the state ofthe art. We hope that the book will serve, at least, as a pointer to more specialized literature and that it will stimulate interest in the area of parallel AI processing. It has been a great pleasure and a privilege to cooperate with all contributors to this volume. They have my warmest thanks and gratitude. Mrs. Birgitta Knapp has assisted me in the editorial task and demonstrated a great deal of skill and patience. Janusz S. Kowalik vii INTRODUCTION Artificial intelligence (AI) computer programs can be very time-consuming.

Editors and Affiliations

  • Boeing Computer Services, Bellevue, USA

    Janusz S. Kowalik

  • University of Washington, Seattle, USA

    Janusz S. Kowalik

Bibliographic Information

  • Book Title: Parallel Computation and Computers for Artificial Intelligence

  • Editors: Janusz S. Kowalik

  • Series Title: The Springer International Series in Engineering and Computer Science

  • DOI: https://doi.org/10.1007/978-1-4613-1989-4

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Kluwer Academic Publishers 1988

  • Hardcover ISBN: 978-0-89838-227-3Published: 31 December 1987

  • Softcover ISBN: 978-1-4612-9188-6Published: 26 September 2011

  • eBook ISBN: 978-1-4613-1989-4Published: 06 December 2012

  • Series ISSN: 0893-3405

  • Edition Number: 1

  • Number of Pages: XXVI, 292

  • Topics: Processor Architectures

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