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. |
From inside the book
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Nils J. Nilsson. CHAPTER 4 THE PREDICATE CALCULUS IN AI In many applications , the information to be encoded into the global database of a production system ... PREDICATE CALCULUS IN AI Informal Introduction to the Predicate Calculus.
... obvious interpretation , the formula WRITE ( VOLTAIRE , CANDIDE ) has value T , and WRITE ( VOLTAIRE , COMPUTER - CHESS ) has value F. When an atomic formula contains variables , 133 INFORMAL INTRODUCTION TO THE PREDICATE CALCULUS.
... predicate calculus . The appropriateness of a representation depends on the application . After deciding on a particular form of representation , the system designer must also decide on how predicate calculus expressions are to be ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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