## 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 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. |

### From inside the book

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Page 61

3 we show an initial database , DB1 , to which rules Rl and R2 , say , are

applicable ;

database DB2 ; then

applies it to ...

3 we show an initial database , DB1 , to which rules Rl and R2 , say , are

applicable ;

**suppose**the control system selects and applies Rl producingdatabase DB2 ; then

**suppose**the control system selects applicable rule R3 andapplies it to ...

Page 121

Now let us

in the square directly above the X ( a bad move for MIN , who must not be using a

good search strategy ) . Next MAX searches to depth 2 below the resulting ...

Now let us

**suppose**that MAX makes this move and MIN replies by putting a circlein the square directly above the X ( a bad move for MIN , who must not be using a

good search strategy ) . Next MAX searches to depth 2 below the resulting ...

Page 291

Another example illustrates how subgoals having existentially quantified

variables are created .

rules have CLEAR on their add list . Let ' s consider unstack ( x , y ) . As a B - rule

, the mgu ...

Another example illustrates how subgoals having existentially quantified

variables are created .

**Suppose**our goal expression is CLEAR ( A ) . Two F -rules have CLEAR on their add list . Let ' s consider unstack ( x , y ) . As a B - rule

, the mgu ...

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### Contents

PROLOGUE | 1 |

PRODUCTION SYSTEMS AND AI | 17 |

SEARCH STRATEGIES FOR | 53 |

Copyright | |

9 other sections not shown

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### Common terms and phrases

achieve actions algorithm AND/OR graph answer applied arcs Artificial Intelligence assume attempt backtracking backward block called chapter clause CLEAR(C complete component condition consider consistent contains control strategy corresponding cost database deduction Deleters described direction discussed efficient evaluation example expression F-rule fact Figure formula function given goal goal node goal stack goal wff HANDEMPTY heuristic important initial involves JOHN knowledge labeled language literals logic 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 selected sequence shown in Figure simple solution graph solve specify statement step STRIPS structure subgoal substitutions successors Suppose symbols termination theorem unifying unit University variables