## 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 56

8 PATH BACKTRACK ( RDATA ) ; BACKTRACK is called

8 PATH BACKTRACK ( RDATA ) ; BACKTRACK is called

**recursively**on the new database . 9 if PATH = FAIL , go LOOP ; if the**recursive**call fails , try another rule . 10 return CONS ( R , PATH ) ; otherwise , pass the successful list of rules ...Page 247

The introduction of

The introduction of

**recursive**functions in program synthesis comes about by using mathematical induction in the proof . It turns out that in reversing a list by using an append function , we have double**recursion**, once in reverse and ...Page 304

Once an F - rule was selected as relevant to removing a difference , GPS worked

Once an F - rule was selected as relevant to removing a difference , GPS worked

**recursively**on the preconditions for that F ... Thus , we see that**recursive**GPS is very similar to ( if slightly more general than )**recursive**STRIPS .### What people are saying - Write a review

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### Contents

PROLOGUE | 1 |

PRODUCTION SYSTEMS AND AI | 17 |

SEARCH STRATEGIES FOR | 53 |

Copyright | |

9 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 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