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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... atomic formula using WRITE and two terms , denoting the writer and what is written . For example , to represent the sentence " Voltaire wrote Can- dide , " we might use the simple atomic formula : WRITE ( VOLTAIRE , CANDIDE ) . In this ...
... atomic formula has value T and other assignments for which it has value F. 4.1.2 . CONNECTIVES Atomic formulas , like WRITE ( x , y ) , are merely the elementary building blocks of the predicate calculus language . We can combine atomic ...
Nils J. Nilsson. A formula built by connecting two formulas with a⇒ is called an implication . The left - hand side of an implication is called the antecedent ... atomic formula , like P 135 INFORMAL INTRODUCTION TO THE PREDICATE CALCULUS.
PRODUCTION Systems and AI
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