## 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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**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 ...Page 134

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**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 ...Page 135

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 ...

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.### Contents

PROLOGUE | 1 |

PRODUCTION SYSTEMS AND AI | 17 |

SEARCH STRATEGIES FOR | 53 |

Copyright | |

10 other sections not shown

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### Common terms and phrases

achieve actions algorithm AND/OR graph answer applied arcs Artificial Intelligence assume attempt backtracking backward block called chapter clause CLEAR CLEAR(C complete component condition consider consistent contains control strategy corresponding cost database deduction Deleters described direction discussed efficient evaluation example expression F-rule fact Figure formula function given goal goal stack goal wff HANDEMPTY heuristic important initial involves JOHN knowledge labeled language literals logic match methods move namely node Note obtained occur ONTABLE(A operation path possible precondition predicate calculus problem procedure production system proof prove quantified reasoning refutation represent representation resolution result robot rule satisfied selected sequence shown in Figure simple solution graph solve specify statement step STRIPS structure subgoal substitutions successors Suppose symbols termination theorem unifying unit University variables