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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... function g ( y ) , which maps each value of y into the x that " exists . " Such a function is called a Skolem function . If we use the Skolem function in place of the x that exists 146 THE PREDICATE CALCULUS IN AI.
... Skolem function whose arguments are those universally quantified variables that are bound by universal quantifiers whose scopes include the scope of the existential quantifier being eliminated . Function symbols used in Skolem functions ...
... Skolem functions to be introduced . What is to be the interpretation of ... function mapping a child of an individual into the individual ) ; and ~ C ... Skolem function of no arguments ( i.e. , a constant ) introduced to ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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