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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000002128548 | Q335 W56 1992 | Open Access Book | Book | Searching... |
Searching... | 30000002644957 | Q335 W56 1992 | Open Access Book | Book | Searching... |
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Summary
Summary
This is the all-time bestselling introduction to artificial intelligence. The third edition retains the best features of the earlier works, including superior readability, currency, and excellence in the selection of examples. Winston emphasizes how artificial intelligence can be viewed from an engineering or a scientific point of view. The new edition offers comprehensive coverage of more material, and many of the ideas presented are enhanced with a variety of side pieces, including application examples such as the Westinghouse nuclear fuel plant optimizer.
Author Notes
About Patrick Henry Winston
Well-known author Patrick Henry Winston teaches computer science and directs the Artificial Intelligence Laboratory at theMassachusetts Institute of Technology.
0201533774AB04062001
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 |
