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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Nils J. Nilsson. 5.4.3 . GOAL WFFS CONTAINING UNIVERSALLY QUANTIFIED VARIABLES A problem arises when the goal wff contains universally quantified variables . These universally quantified variables become existentially quantified in the ...
... goal wffs containing existentially or universally quantified vari- ables , we use a Skolemization process that is dual to that used for facts and rules . Universal variables in goals are replaced by Skolem functions of the existential ...
... goal literals used in the solution yields ~ TERRIER ( FIDO ) V NOISY ( FIDO ) , which is the instance of the goal wff that our system has proved . This instantiated expression can thus be taken as the answer statement . There are ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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