## 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 21

CONTROL The above procedure is nondeterministic because we have not yet

specified precisely how we are going to select an ... In an irrevocable

for ...

CONTROL The above procedure is nondeterministic because we have not yet

specified precisely how we are going to select an ... In an irrevocable

**control****regime**, an applicable rule is selected and applied irrevocably without provisionfor ...

Page 22

In the second type of tentative

provision is made for keeping track of the effects^)f several sequences' of "rules

simujtaneously. Various kinds of graph structures and graph searching ...

In the second type of tentative

**control regime**, which we call graph-searchcontrol,provision is made for keeping track of the effects^)f several sequences' of "rules

simujtaneously. Various kinds of graph structures and graph searching ...

Page 27

Suppose we decide to use a graph-search

problem posed in Figure 1.1. We can keep track of the various rules applied and

the databases produced by a structure called a search tree. An example of such ...

Suppose we decide to use a graph-search

**control regime**in solving the 8-puzzleproblem posed in Figure 1.1. We can keep track of the various rules applied and

the databases produced by a structure called a search tree. An example of such ...

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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