Pattern-Directed Inference Systems
Published on 10. May 2014
672 pages
978-1-4832-6838-5 (ISBN)
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.
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D.A. Waterman | F.Hayes- Roth
Pattern Directed Inference Systems
Book
01/1978
Saunders College Publishing/Harcourt Brace
€98.91
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Content
List of ContributorsPrefaceIntroduction An Overview of Pattern-Directed Inference SystemsArchitecture 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 StrategiesDeductive 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 InformationLearning Exemplary Programming in RITA Inductive Learning of Relational Productions Model-Directed Learning of Production Rules Cognitive Systems Based on Adaptive AlgorithmsCognitive Modeling Implications of Human Pattern Processing for the Design of Artificial Knowledge Systems Pattern-Directed Processing of Knowledge from Texts Knowledge-Directed Inference in BELIEVERNatural 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 EnglishMultilevel 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 SystemsConclusion Principles of Pattern-Directed Inference SystemsBibliographyAuthor IndexSubject Index
