## Principles of Artificial IntelligenceA 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 Intelligence evolved 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. |

### From inside the book

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Page 63

A tree is a special case of a graph in which each

no successors is called a tip

A tree is a special case of a graph in which each

**node**has at most one parent . A**node**in the tree having no parent is called a root**node**. A**node**in the tree havingno successors is called a tip

**node**. We say that the root**node**is of depth zero .Page 67

The solid nodes are on CLOSED , and the other nodes are on OPEN at the time

the algorithm selects

The solid nodes are on CLOSED , and the other nodes are on OPEN at the time

the algorithm selects

**node**1 for expansion . ( We assume unit arc costs . ) When**node**1 is expanded , its single successor ,**node**2 , is generated . But**node**2 ...Page 122

In this example , the search savings depended on the fact that

represented a win for MIN . The same kind of savings can be achieved , however

, even when none of the positions in the search tree represents a win for either

MAX or ...

In this example , the search savings depended on the fact that

**node**Arepresented a win for MIN . The same kind of savings can be achieved , however

, even when none of the positions in the search tree represents a win for either

MAX or ...

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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

achieve actions algorithm AND/OR graph answer applied arcs assertions assume attempt backtracking backward block called chapter clause CLEAR(C complete component condition consider consistent contains control strategy corresponding cost database Deleters described direction discussed efficient evaluation example expanded expression F-rule fact Figure formula function given global database goal goal node goal stack goal wff HANDEMPTY heuristic important initial involves JOHN knowledge labeled language literals match methods move namely node Note obtained occur ONTABLE(A operation path possible precondition predicate calculus problem procedure production system proof prove quantified reasoning refutation represent representation resolution result robot rule satisfied search tree selected sequence shown in Figure simple solution graph solve specify statement step STRIPS structure subgoal substitutions successors Suppose symbols termination unifying unit universal variables