## 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 132

THE SYNTAX AND SEMANTICS OF

components of the predicate calculus language are ... We can compose a simple

written.

THE SYNTAX AND SEMANTICS OF

**ATOMIC FORMULAS**The elementarycomponents of the predicate calculus language are ... We can compose a simple

**atomic formula**using WRITE and two terms, denoting the writer and what iswritten.

Page 133

To represent an English sentence by an

and entities that the sentence describes and represent them by predicates and

terms. Often, the predicate is identified with the verb of the sentence, and the ...

To represent an English sentence by an

**atomic formula**, we focus on the relationsand entities that the sentence describes and represent them by predicates and

terms. Often, the predicate is identified with the verb of the sentence, and the ...

Page 134

has value F. When an

assignments to the variables (of entities in the domain) for which an

CONNECTIVES ...

has value F. When an

**atomic formula**contains variables, there may he. someassignments to the variables (of entities in the domain) for which an

**atomic****formula**has value T and other assignments for which it has value X 4.12.CONNECTIVES ...

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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