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VLSI for Artificial Intelligence

  • Book
  • © 1989

Overview

Editors:
  1. José G. Delgado-Frias

    1. Department of Electrical Engineering, State University of New York, Binghamton, USA

  2. Will R. Moore

    1. Department of Engineering Science, University of Oxford, UK

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Table of contents (25 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Prolog Machines

    1. Front Matter

      Pages 1-1
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    2. From Low Level Semantic Description of Prolog to Instruction Set and VLSI Design

      • Reinhard Eck
      Pages 3-12

    3. A 32 Bit Processor for Compiled Prolog

      • Pierluigi Civera, Dante Del Corso, Gianluca Piccinini, Maurizio Zamboni
      Pages 13-26

    4. Carmel-1: A VLSI Architecture for Flat Concurrent Prolog

      • Ran Ginosar, Arie Harsat
      Pages 27-37

    5. VLSI for Parallel Execution of Prolog

      • Jeff Reynolds, Sergio Delgado-Rannauro
      Pages 38-46

  3. Functional Programming Oriented Architectures

    1. Front Matter

      Pages 47-48
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    2. Supporting Functional and Logic Programming Languages through a Data Parallel VLSI Architecture

      • John O’Donnell
      Pages 49-60

    3. Translating Declaratively Specified Knowledge and Usage Requirements into a Reconfigurable Machine

      • Richard Frost, Subir Bandyopadhyay, Dimitris Phoukas
      Pages 61-72

  4. Garbage Collection

    1. Front Matter

      Pages 73-74
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    2. VLSI-Appropriate Garbage Collection Support

      • Steven Krueger
      Pages 75-84

    3. A Self-Timed Circuit for a Prolog Machine

      • Yves Bekkers, Louis Chevallier, Serge Le Huitouze, Olivier Ridoux
      Pages 85-92

  5. Content-Addressable Memory

    1. Front Matter

      Pages 93-94
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    2. VLSI and Rule-Based Systems

      • Peter Kogge, John Oldfield, Mark Brule, Charles Stormon
      Pages 95-108

    3. Unify with Active Memory

      • Yan Ng, Raymond Glover, Chew-Lye Chng
      Pages 109-118

    4. The Pattern Addressable Memory: Hardware for Associative Processing

      • Ian Robinson
      Pages 119-129

  6. Knowledge Based Systems

    1. Front Matter

      Pages 131-132
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    2. A High Performance Relational Algebraic Processor for Large Knowledge Bases

      • Simon Lavington, Jerome Robinson, Kai-Yau Mok
      Pages 133-143

    3. A WSI Semantic Network Architecture

      • José Delgado-Frias, Will Moore
      Pages 144-155

  7. Neural Architectures

    1. Front Matter

      Pages 157-158
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Editors and Affiliations

  • Department of Electrical Engineering, State University of New York, Binghamton, USA

    José G. Delgado-Frias

  • Department of Engineering Science, University of Oxford, UK

    Will R. Moore

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