Principles of Artificial Intelligence
A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used.
Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.
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... Backtracking Strategies 55 Graph-search Strategies 61 Uninformed Graph-search Procedures 68 Heuristic Graph-search Procedures 72 Related Algorithms 88 Measures of Performance 91 Bibliographical and Historical Remarks 94 Exercises 96 ...
... backtracking, a backtracking point is established when a rule is selected. Should subsequent computation encounter difficulty 21 PRODUCTION SYSTEMS.
... backtracking point, where another rule is applied instead, and the process continues. In the second type of tentative control regime, which we call graph-search control, provision is made for keeping track of the effects of several ...
... Backtracking. In many problems of interest, applying an inappropriate rule may prevent or substantially delay successful termination. In these cases, we want a control strategy that can try a rule and, if it later discovers that this ...
... backtracking strategy can be used regardless of how much or how little knowledge is available to bear on rule selection. If no knowledge is available, rules can be selected according to some arbitrary scheme. Ultimately, control will ...
CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS
CHAPTER 4 THE PREDICATE CALCULUS IN AI
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS
CHAPTER 7 BASIC PLANGENERATING SYSTEMS
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS