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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... formula has value T and other assignments for which it has value F. 4.1.2 . CONNECTIVES Atomic formulas , like WRITE ... formula LIVES ( JOHN , HOUSE - 1 ) ^ COLOR ( HOUSE - 1 , YELLOW ) , where the predicate LIVES represents a relation ...
... formula consisting of the universal quantifier ( x ) in front of a formula P ( x ) has value T for an interpretation just when the value of P ( x ) under this interpretation is T for all assignments of x to entities in the domain . The ...
... formula ONTABLE ( B ) is intended to mean that B is somewhere on the table . The last formula in the list gives information about how CLEAR and ON are related . A conjunction of several such formulas can serve as a description of a ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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