Principles of Artificial IntelligenceA 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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Z\ ^ - ZN A /\ ^ D: : Goal The processes required to represent problems initially and to improve. Fig. 1.4A search tree for the 8-puzzle. Fig. 1.6 A search tree for the traveling salesman problem.
The processes required to represent problems initially and to improve given representations are still poorly understood. It seems that desirable shifts in a problem's representation depend on experience gained in attempts to solve it in ...
Suppose we have already represented a problem for solution by a production system. ... The rules of the new production system represent the various ways in which a search tree can be modified by the action of the control strategy of the ...
The production rules are “structure-proposing” rules that convert databases representing unstructured chemical formulas into databases representing partial structures. Any database that contains no unstructured formulas satisfies the ...
Jas The nodes of the tree represent expressions to be integrated. Fig. 1.13 An AND/OR tree for an integration problem. Fig. 2. 1 Computational costs of AI production systems. 46 PRODUCTION SYSTEMS AND AI.
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Contents
1 | |
17 | |
53 | |
CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS | 99 |
CHAPTER 4 THE PREDICATE CALCULUS IN AI | 131 |
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS | 161 |
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS | 193 |
CHAPTER 7 BASIC PLANGENERATING SYSTEMS | 275 |
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS | 321 |
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS | 361 |
PROSPECTUS | 417 |
BIBLIOGRAPHY | 429 |
AUTHOR INDEX | 467 |
SUBJECT INDEX | 471 |