## 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 167

In

strategy for our example problem . Notice that , in this case , set of support does

not permit finding the empty clause at the third level . A third - level refutation for

this ...

In

**Figure**5 . 3 we show a refutation graph produced by the set - of - supportstrategy for our example problem . Notice that , in this case , set of support does

not permit finding the empty clause at the third level . A third - level refutation for

this ...

Page 169

The refutation tree of

preference strategy . 5 . 2 . 4 . THE LINEAR - INPUT FORM STRATEGY A linear -

input form refutation is one in which each resolvent has at least one parent ...

The refutation tree of

**Figure**5 . 1 is one that might have been produced by a unit -preference strategy . 5 . 2 . 4 . THE LINEAR - INPUT FORM STRATEGY A linear -

input form refutation is one in which each resolvent has at least one parent ...

Page 381

The match is successful in

any representational scheme there are often several alternative representations

for basically the same information . Since our definition of structure matching ...

The match is successful in

**Figure**9 . 10 , but it is unsuccessful in**Figure**9 . 11 . Inany representational scheme there are often several alternative representations

for basically the same information . Since our definition of structure matching ...

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### 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(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 global database 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