## 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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Page 116

We

We

**assume**that were MAX to choose among tip nodes , he would choose that node having the largest evaluation . Therefore , the ( MAX node ) parent of MIN tip nodes is assigned a backed - up value equal to the maximum of the evaluations ...Page 205

know whether A or B is true , we might attempt first to prove the goal by

know whether A or B is true , we might attempt first to prove the goal by

**assuming**that A is true and then attempt to prove the goal**assuming**B is ... We**assume**that any existential variables in facts and rules have been Skolemized .Page 277

Consistent with our restrictions on the form of goal wffs , we

Consistent with our restrictions on the form of goal wffs , we

**assume**here that the preconditions of our F - rules consist of a conjunction of ... Variables in these precondition formulas are**assumed**to have existential quantification .### What people are saying - Write a review

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### Contents

PROLOGUE | 1 |

PRODUCTION SYSTEMS AND AL | 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 assertions 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 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