Artificial intelligence /

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Bibliographic Details
Author / Creator:Winston, Patrick Henry
Imprint:Reading, Mass. : Addison-Wesley Pub. Co., c1977.
Description:xvi, 444 p. : ill. ; 25 cm.
Language:English
Series:Addison-Wesley series in computer science
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/170491
Hidden Bibliographic Details
ISBN:0201084546
Notes:Includes bibliographical references and index.
Table of Contents:
  • I. Representations and Methods
  • 1. The Intelligent Computer
  • The Field and the Book
  • This Book Has Three Parts
  • What Artificial Intelligence Can Do
  • Criteria for Success
  • Summary Background
  • 2. Semantic Nets and Description Matching
  • Semantic Nets
  • The Describe-and-Match Method
  • The Describe-and-Match Method and Analogy Problems
  • The Describe-and-Match Method and Recognition of Abstractions
  • Problem Solving and Understanding Knowledge
  • Summary
  • Background
  • 3. Generate and Test, Means-End Analysis, and Problem Reduction
  • The Generate-and-Test Method
  • The Means-Ends Analysis Method
  • The Problem-Reduction Method
  • Summary
  • Background
  • 4. Nets and Basic Search eI Nets and Optimal Search
  • Blind Methods
  • Heuristically Informed Methods
  • Summary
  • Background
  • 5. Nets and Optimal Search
  • The Best PathRedundant Paths
  • Summary
  • Background
  • 6. Trees and Adversarial Search
  • Algorithmic Methods
  • Heuristic Methods
  • Summary
  • Background
  • 7. Rules and Rule Chaining
  • Rule-Based Deduction Systems
  • Rule-Based Reaction Systems
  • Procedures for Forward and Backward Chaining
  • Summary
  • Background
  • 8. Rules, Substrates, and Cognitive Modeling
  • Rule-Based Systems Viewed as Substrate
  • Rule-Based Systems Viewed as Models for Human Problem Solving
  • Summary
  • Background
  • 9. Frames and Inheritance
  • Frames, Individuals, and Inheritance
  • Demon ProceduresFrames, Events, and Inheritance
  • Summary
  • Background
  • 10. Frames and Commonsense
  • Thematic-role Frames
  • Examples Using Take Illustrate How Constraints Interact
  • Expansion into Primitive Actions
  • Summary
  • Background
  • 11. Numeric Constraints and Propagation
  • Propagation of Numbers Through Numeric Constraint Nets
  • Propagation of Probability Bounds Through Opinion Nets
  • Propagation of Surface Altitudes Through Arrays
  • Summary
  • Background
  • 12. Symbolic Constraints and Propagation
  • Propagation of Line Labels through Drawing Junctions
  • Propagation of Time-Interval Relations
  • Five Points of Methodology
  • Summary
  • Background
  • 13. Logic and Resolution Proof
  • Rules of Inference
  • Resolution Proofs
  • Summary
  • Background
  • 14. Backtracking and Truth Maintenance
  • Chronological and Dependency-Directed Backtracking
  • Proof by Constraint Propagation
  • Summary
  • Background
  • 15. Planning
  • Planning Using If-Add-Delete Operators
  • Planning Using Situation Variables
  • Summary
  • Background
  • II. Learning and Regularity Recognition
  • 16. Learning by Analyzing Differences
  • Induction Heuristics
  • Identification
  • Summary
  • Background
  • 17. Learning by Explaining Experience
  • Learning about Why People Act the Way they Do
  • Learning about Form and function
  • Matching
  • Summary
  • Background
  • 18. Learning by Correcting Mistakes
  • Isolating Suspicious Relations
  • Intelligent Knowledge Repair
  • Summary
  • Backg