## 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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immediately that MIN will choose A. We can then assign A's parent the backed - up value of – 0 and proceed with the search , having saved the search effort of generating and evaluating nodes B , C , and D. (

immediately that MIN will choose A. We can then assign A's parent the backed - up value of – 0 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 169

**Note**that the first level of Figure 5.4 is the same as the first level of Figure 5.2 . At subsequent levels , the linear - input form strategy does reduce the number of clauses produced . Again , the use of this strategy on our example ...Page 256

**Note**that our CANCEL graph method treats conjunctively related goal nodes correctly . Each conjunct must be proved before the parent is proved . Disjunctively related fact nodes are treated in a similar manner .### 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