## 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 65

Each node in G is also in T. The search tree is defined by the pointers that are set

up in step 7. ... More precisely, at step 3 of the procedure, the nodes on OPEN are

those (

Each node in G is also in T. The search tree is defined by the pointers that are set

up in step 7. ... More precisely, at step 3 of the procedure, the nodes on OPEN are

those (

**tip**)**nodes**of the search tree that have not yet been selected for ...Page 116

We assume that were MAX to choose among

node having the largest evaluation. Therefore, the ( MA X node) parent of MIN

...

We assume that were MAX to choose among

**tip nodes**, he would choose thatnode having the largest evaluation. Therefore, the ( MA X node) parent of MIN

**tip****nodes**is assigned a backed-up value equal to the maximum of the evaluations of...

Page 126

The final backed-up value of the start node is identical to the static value of one of

the

number of cutoffs would be maximal. When the number of cutoffs is maximal, ...

The final backed-up value of the start node is identical to the static value of one of

the

**tip nodes**. If this**tip node**could be reached first in a depth-first search, thenumber of cutoffs would be maximal. When the number of cutoffs is maximal, ...

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### Contents

Prologue | 1 |

Production Systems and AI | 17 |

Search Strategies for | 53 |

Copyright | |

10 other sections not shown

### Other editions - View all

### 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