## 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 116

Therefore , the ( MAX node ) parent of MIN tip nodes is assigned a

Therefore , the ( MAX node ) parent of MIN tip nodes is assigned a

**backed**-**up value**equal to the maximum of the evaluations ... After the parents of all tip nodes have been assigned**backed**-**up values**, we**back up values**another level ...Page 122

9 immediately that MIN will choose A. We can then assign A's parent the

9 immediately that MIN will choose A. We can then assign A's parent the

**backed**-**up value**of - and proceed with the search , having saved the search effort of generating and evaluating nodes B , C , and D. ( Note that the savings in ...Page 123

**backed**-**up values**, the bounds on**backed**-**up values**can be revised . But we note that : ( a ) The alpha values of MAX nodes ( including the start node ) can never decrease , and ( b ) the beta values of MIN nodes can never increase .### 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