## 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 175

The problem of finding a

The problem of finding a

**proof**for ( 3x ) W ( x ) from S is an ordinary predicate calculus theorem- proving problem , but producing the satisfying instance for x requires that the**proof**method be " constructive .Page 178

In our example , these steps produce the

In our example , these steps produce the

**proof**tree shown in Figure 5.7 with the clause AT ( FIDO , SCHOOL ) at the root . This clause , then , is the appropriate answer to the problem . We note that the answer statement has a form ...Page 185

The constant A could have been a variable without invalidating the

The constant A could have been a variable without invalidating the

**proof**shown in Figure 5.12 . It can be shown [ Luckham and Nilsson ( 1971 ) ] that in the answer - extracting process it is correct to replace any Skolem functions in ...### What people are saying - Write a review

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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

8-puzzle achieve actions Adders AI production algorithm AND/OR graph applied Artificial Intelligence atomic formula backed-up value backtracking backward block breadth-first breadth-first search called chapter clause form CLEAR(C component contains control regime control strategy cost DCOMP Deleters delineation depth-first search described discussed disjunction domain element-of evaluation function example existentially quantified F-rule formula frame problem global database goal expression goal node goal stack goal wff graph-search HANDEMPTY heuristic HOLDING(A implication initial state description knowledge leaf nodes literal nodes monotone restriction negation node labeled ONTABLE(A optimal path pickup(A precondition predicate calculus procedure production system prove recursive regress represent representation resolution refutation result robot problem rule applications rule-based deduction systems search graph search tree semantic network sequence shown in Figure Skolem function solution graph solve stack(A STRIPS structure subgoal substitutions successors Suppose symbols termination condition theorem theorem-proving tip nodes unifying composition universally quantified unstack(C,A WORKS-IN