MTU Cork Library Catalogue

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Introduction to expert systems / Peter Jackson.

By: Jackson, Peter, 1948-.
Material type: materialTypeLabelBookSeries: International computer science series.Publisher: Wokingham : Addison-Wesley, 1990Edition: 2nd ed.Description: xvii, 526 p. : ill. ; 24cm.ISBN: 0201175789 :.Subject(s): Expert systems (Computer science) | Expert systemsDDC classification: 006.33
Contents:
Part I: Background in artificial intelligence -- What are expert systems? -- An overview of artificial intelligence -- The early years: DENDRAL and MYCIN -- Part II: Theoretical foundations of representation -- Representation and control -- Automated reasoning -- Representing uncertainty -- Part III: Knowledge representation formalisms -- Symbolic computation -- Production systems -- Associate nets and frame systems -- Object-oriented programming -- Procedural deduction -- Comparison of representations -- Part IV: Practical problem solving -- Knowledge elicitation -- Heuristic classification (I) -- Heuristic classification (II) -- Hierarchical hypothesize and test -- Constructive problem solving (I) -- Constructive problem solving (II) -- Designing for explanation -- Part V: Software tools and architectures -- Tools for building expert systems -- Potential implementation problems -- Blackboard architectures -- Truth maintenance systems -- Part VI: Advanced topics in expert systems -- Diagnosis from first principles -- Formal models of plausible inference -- Rule induction by machine learning -- Summary and conclusions.

Enhanced descriptions from Syndetics:

This bestselling guide to expert systems has been comprehensively revised to reflect the many recent developments in the field. Written in a clear and entertaining style, it shows how expert systems can be successfully applied to a wide range of applications. Features * coverage of advanced topics including blackboard systems, non-monotonic reasoning and truth-maintenance system * includes programming examples in LISP, OPS5 and other languages, showing how expert systems are developed

Previous ed.: 1986.

Includes bibliographical references (pages 501-514) and index.

Part I: Background in artificial intelligence -- What are expert systems? -- An overview of artificial intelligence -- The early years: DENDRAL and MYCIN -- Part II: Theoretical foundations of representation -- Representation and control -- Automated reasoning -- Representing uncertainty -- Part III: Knowledge representation formalisms -- Symbolic computation -- Production systems -- Associate nets and frame systems -- Object-oriented programming -- Procedural deduction -- Comparison of representations -- Part IV: Practical problem solving -- Knowledge elicitation -- Heuristic classification (I) -- Heuristic classification (II) -- Hierarchical hypothesize and test -- Constructive problem solving (I) -- Constructive problem solving (II) -- Designing for explanation -- Part V: Software tools and architectures -- Tools for building expert systems -- Potential implementation problems -- Blackboard architectures -- Truth maintenance systems -- Part VI: Advanced topics in expert systems -- Diagnosis from first principles -- Formal models of plausible inference -- Rule induction by machine learning -- Summary and conclusions.

Table of contents provided by Syndetics

  • Key Features
  • 50 page appendix devoted to the CLIPS programming language, which is used as the main vehicle for examples and exercises
  • New coverage includes case-based reasoning,connectionist systems and hybrid systems 0201876868B04062001

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