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
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... 8-puzzle worked forward from the initial state to a goal state. Thus, we could call it a forward production system. We could also have solved the 32 PRODUCTION SYSTEMS AND AI.
... 8-puzzle in this manner would merely reverse the roles of states and goals and would use rules that correspond to inverse moves. Setting up a backward-directed production system in the case of the 8-puzzle is simple because the goal is ...
... 8-puzzle, with a single initial state and a single goal state, it makes no difference whether the problem is solved in the forward or the backward direction. The computational effort is the same for both directions. There are occasions ...
... puzzle column in Scientific American. Also see the books of puzzles by Dudeney (1958, 1967), a famous British puzzle inventor, a book of logical puzzles by Smullyan (1978), and a book on how to solve problems by Wickelgren (1974). The 8 ...
... 8-puzzle. For problems requiring only a small amount of search, backtracking control strategies are often perfectly adequate and efficient. Compared with graph-search control regimes, backtracking strategies are typically simpler to ...
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 |