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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... THE BASIC PROCEDURE The basic production system algorithm for solving a problem like the 8-puzzle can be written in nondeterministic form as follows: Procedure PRODUCTION 1 DATA - initial database 2 until DATA 20 PRODUCTION SYSTEMS AND AI.
... production systems expected to solve problems requiring search. Trial-and-error methods seem to be inherent in solving puzzles, for example. One might argue that if a control strategy of a production system possessed sufficient ...
... production system selects the corresponding rule. In Figure 1.2 we show the sequence of states traversed by such a production system in solving this puzzle. The value of our hill-climbing function for each state description is circled ...
... production system. We cannot depict the entire search for a solution in the figure; it is too extensive. Eventually though, a solution path will be found, because all possible paths (of length less than 6) will be explored. Note that if ...
... transformations cannot be achieved, it is possible that a complete reformulation of the problem (changing the very notion of what a state is, for example) will result in a smaller space. $3 Start : : i : 8 2 : ! 27 PRODUCTION SYSTEMS.
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 |