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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... system can consist of several database / operations / control modules interacting in a complex fashion . Our point is that a system consisting of separate database , operations , and ... PRODUCTION SYSTEMS AND AI Production Systems.
... production systems are an important subclass enjoying special properties . For example , an irrevocable control regime can always be used in a commutative system because the ... system explicitly em- 36 PRODUCTION SYSTEMS AND AI.
... production systems . The knowledge about a problem that is represented in the global database is sometimes called declarative knowledge . In an intelligent information retrieval system , for example , the declarative knowledge would ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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