Principles of Artificial Intelligence
A 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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... systems that use both B - rules and F - rules because , for these , both the fact and goal graphs change dynamically , making it impossible to tell at any ... RULE - BASED DEDUCTION SYSTEMS Control Knowledge For Rule-Based Deduction Systems.
... deduction system . What heuristic strategies might be useful in using replacement rules ? 6.10 Critically examine the following proposal : An implication of the form ( LI ^ L2 ) ⇒ W , where L1 and L2 are ... RULE - BASED DEDUCTION SYSTEMS.
... rule - based deduction systems , 199- 203 , 206 Fact node , 215 Fact object , 379 Facts , in rule - based deduction systems , FOL , 426 195 Forward robot problem - solving system , 281-282 Forward rule - based deduction system , 196 ...
PRODUCTION Systems and AI
SEARCH Strategies FOR
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