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.
Results 1-3 of 21
... universal quantifiers whose scopes include the scope of the existential quantifier being eliminated . Function symbols used in Skolem functions must be new in the sense that they cannot be ones that already occur in the wff . Thus , we ...
... universal quantifiers are standardized by renaming , existentially quantified variables are replaced by Skolem functions , and the universal quantifiers are dropped . Any variables remaining are assumed to have universal quantification ...
... Universal variables in goals are replaced by Skolem functions of the existential variables in whose scopes these universal variables reside . Recall that in resolution refutation systems , goal wffs are negated , converting universal ...
PRODUCTION Systems and AI
SEARCH Strategies FOR
10 other sections not shown