## 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 135

It is used to

wff from T to F, and vice versa. For example, the (true) ... An atomic formula and

the

F1 ...

It is used to

**negate**the truth value of a formula; that is, it changes the value of awff from T to F, and vice versa. For example, the (true) ... An atomic formula and

the

**negation**of an atomic formula axe both called literals. It is easy to see that ~F1 ...

Page 176

The resolution refutation is obtained jn the usual manner by first

to he proved, adding this

this enlarged set to clause formf and. then, hy resolution, showing that this set of ...

The resolution refutation is obtained jn the usual manner by first

**negating**the wffto he proved, adding this

**negation**to the set ST converting all of the members ofthis enlarged set to clause formf and. then, hy resolution, showing that this set of ...

Page 184

These universally quantified variables become existentially quantified in the

the interpretation of these Skolem functions if they should eventually appear as ...

These universally quantified variables become existentially quantified in the

**negation**of the goal wff, causing Skolem functions to be introduced. What is to bethe interpretation of these Skolem functions if they should eventually appear as ...

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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