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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... search tree produced by a depth-first search. Fig. 2.8A search tree using an evaluation function.
Nils J. Nilsson. 2.4. HEURISTIC GRAPH-SEARCH PROCEDURES The uninformed search methods, whether breadth-first or depth-first, are exhaustive methods for finding paths to a goal node. In principle, these methods provide a solution to the ...
... search algorithm. The value of g(n) for certain nodes may decrease if the search tree is altered in step 7.) Notice ... depth of a node in the search tree), algorithm A is identical to breadth-first search. We claimed earlier that the ...
... breadth-first search, which uses h(n) = 0. We would expect intuitively that the more informed algorithm typically would need to expand fewer nodes to find a minimal cost path. In the case of the 8-puzzle, this observation is supported ...
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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 |