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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... goal wff . The underlined part of the answer statement is obviously similar to the entire goal wff - with g ( x ) taking the place of the existentially quantified variable x in the goal wff , and f ( g ( x ) ) taking the place of the ...
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 ...
PRODUCTION Systems and AI
SEARCH Strategies FOR
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