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. |
From inside the book
Results 6-10 of 48
... Goal Node 345 7 8 4 65 SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS 5 10 20 283 16 Start 7 5 Node 1.
... 35 217 84 UNINFORMED GRAPH - SEARCH PROCEDURES x34 2117 3O4W □ 5 x 304 217 185 217 300 815 7 8 4 □ 6 Goal Node Fig . 2.7 A search tree produced by a breadth - first search . 2.4 . HEURISTIC GRAPH - SEARCH PROCEDURES The uninformed search.
... goal node . In principle , these methods provide a solution to the path - finding problem , but they are often infeasible to use to control AI production systems because the search expands too many nodes before a path is found . Since ...
... node and the goal set have been suggested ; or in board games or puzzles , a configuration is often scored points on the basis of those features that it possesses that are thought to be related to its promise as a step toward the goal ...
... Goal Node 5 8 4 7 1 2 3 7 8 4 7 6 5 65 23 . 1 8 4 765 28 3 1 4 765 expanded . We see that the same solution path is ... node n estimates the sum of the cost of the minimal cost path from the start node s to node n plus the cost of ...
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 |