## Principios de inteligencia artificialA 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 148

(7) F.liminate universal quantifiers Since all of the variables in the wffs we use

must be bound, we are assured that all the variables remaining at this step are

(7) F.liminate universal quantifiers Since all of the variables in the wffs we use

must be bound, we are assured that all the variables remaining at this step are

**universally quantified**. Furthermore, the order of**universal quantification**is ...Page 184

GOAL WFFS CONTAINING

arises when the goal wff contains

the ...

GOAL WFFS CONTAINING

**UNIVERSALLY QUANTIFIED**VARIABLES A problemarises when the goal wff contains

**universally quantified**variables. These**universally quantified**variables become existentially quantified in the negation ofthe ...

Page 205

For goal wffs containing existentially or

Skolemization process that is dual to that used for facts and rules. Universal

variables in goals are replaced by Skolem functions of the existential variables in

...

For goal wffs containing existentially or

**universally quantified**variables, we use aSkolemization process that is dual to that used for facts and rules. Universal

variables in goals are replaced by Skolem functions of the existential variables in

...

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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 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 control regime control strategy cost DCOMP delete delineation depth-first search described discussed disjunction domain element-of evaluation function example existentially quantified F-rule formula frame problem game tree global database goal expression goal node goal stack goal wff graph-search HANDEMPTY heuristic implication initial state description knowledge leaf nodes literal nodes logic methods negation node labeled ONTABLE(A optimal path precondition predicate calculus problem-solving procedure production rules production system proof 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 STRIPS structure subgoal substitutions successors Suppose symbols termination condition theorem theorem-proving tip nodes unifying composition universally quantified WORKS-IN