## 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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Page 127

**AND**/**OR GRAPHS**Decomposition and**AND**/**OR graphs**have been used in a variety of applications . Hinxman ( 1976 ) discusses applications to the “ stock - cutting problem ” ; Martelli and Montanari ( 1975,1978 ) show how dynamic ...Page 199

Usually , we draw our

Usually , we draw our

**AND**/**OR graph**representations of fact expressions “ upside down . ” Later we also use**AND**/**OR graph**representations of goal wffs ; these are displayed in the usual manner , “ rightside up .Page 206

Now we consider the process of applying a rule of the form ( LW ) to an

Now we consider the process of applying a rule of the form ( LW ) to an

**AND**/**OR graph**, where L is a literal ... The rule is applicable if the**AND**/**OR graph**contains a literal node L ' that unifies with L. Suppose the mgu is u .### What people are saying - Write a review

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### Contents

PROLOGUE | 1 |

PRODUCTION SYSTEMS AND AI | 17 |

SEARCH STRATEGIES FOR | 53 |

Copyright | |

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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(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 node 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