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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... involves no restrictions on the form of the global database , the rules , or the control strategy . We introduce the idea of tentative control regimes to allow a form of controlled nondeter- minism in rule application . Thus generalized ...
... involves less storage . ( Backtracking strategies save only one path to a goal node ; they do not save the entire ... involving five rule applications . We see that a depth - first search process progresses along one path until it ...
... involve implementing this paradigm with parallel processing . A third use of parallelism involves an expansion of the ideas presented here . One could imagine a large community of more - or - less independent systems . ( Each of these ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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