Pattern-Directed Inference Systems

Pattern-Directed Inference Systems

1st Edition - June 28, 1978

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  • Editors: D. A. Waterman, Frederick Hayes-Roth
  • eBook ISBN: 9781483268385

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Description

Pattern-Directed Inference Systems provides a description of the design and implementation of pattern-directed inference systems (PDIS) for various applications. The book also addresses the theoretical significance of PDIS for artificial intelligence and cognitive psychology. The book is divided into eight sections. The introduction provides a brief overview of pattern-directed inference systems, including a historical perspective, a review of basic concepts, and a survey of work in this area. Subsequent chapters address topics on architecture and design, methods for accessing and controlling rule based systems, methods for obtaining adaptive behavior via rule-based systems and cognitive modeling. Constructing models of human information processing, natural language understanding and multilevel systems and complexity are described as well. The last section discusses the earlier chapters in the book and provides a unifying set of principles for the PDIS formalism. Computer scientists, psychologists, engineers, and researchers in artificial intelligence will find the book very informative.

Table of Contents


  • List of Contributors

    Preface

    Introduction

    An Overview of Pattern-Directed Inference Systems

    Architecture and Design

    Designing a Rule System That Searches for Scientific Discoveries

    Use of Production Systems for Modeling Asynchronous, Concurrent Processes

    Spontaneous Computation and Its Role in AI Modeling

    Knowledge Acquisition in Rule-Based Systems—Knowledge About Representation as a Basis for System Construction and Maintenance

    An Instructable Production System: Basic Design Issues

    The Efficiency of Certain Production System Implementations

    Production System Conflict Resolution Strategies

    Deductive Inference

    Semantic Network Representations in Rule-Based Inference Systems

    Planning Techniques for Rule Selection in Deductive Question-Answering

    Some Extensions of a System for Inference on Partial Information

    Learning

    Exemplary Programming in RITA

    Inductive Learning of Relational Productions

    Model-Directed Learning of Production Rules

    Cognitive Systems Based on Adaptive Algorithms

    Cognitive Modeling

    Implications of Human Pattern Processing for the Design of Artificial Knowledge Systems

    Pattern-Directed Processing of Knowledge from Texts

    Knowledge-Directed Inference in BELIEVER

    Natural Language Understanding

    Conversational Action Patterns in Dialogs

    An Expectation-Driven Production System for Natural Language Understanding

    A Goal-Directed Production System for Story Understanding

    Inferential Searches of Knowledge Networks as an Approach to Extensible Language-Understanding Systems

    Rule-Based Computations on English

    Multilevel Systems and Complexity

    A Production System for Speech Understanding

    Rule-Based Understanding of Signals

    Pattern Recognition and Pattern-Directed Inference in a Program for Playing Go

    The Production System: Architecture and Abstraction

    Production Systems with Feedback

    The Role of Partial and Best Matches in Knowledge Systems

    Conclusion

    Principles of Pattern-Directed Inference Systems

    Bibliography

    Author Index

    Subject Index

Product details

  • No. of pages: 672
  • Language: English
  • Copyright: © Academic Press 1978
  • Published: June 28, 1978
  • Imprint: Academic Press
  • eBook ISBN: 9781483268385

About the Editors

D. A. Waterman

Frederick Hayes-Roth

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