## 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. |

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Page 85

THE HEURISTIC POWER OF EVALUATION

THE HEURISTIC POWER OF EVALUATION

**FUNCTIONS**The selection of the heuristic**function**is crucial in determining the heuristic power of search algorithm A. Using h = 0 assures admissibility but results in a breadth - first search and is ...Page 128

Samuel ( 1959 , 1967 ) developed a checker ( draughts ) program that used polynomial evaluation

Samuel ( 1959 , 1967 ) developed a checker ( draughts ) program that used polynomial evaluation

**functions**, alphabeta search methods , and learning strategies for improving play . Slagle ( 1970 ) has discussed the similarities between ...Page 475

... 145 within AND / OR graphs , 234 - 241 for general clauses , 150 - 152 for ground clauses , 149 - 150 references for , 156 Resolution refutations , 161 references for , 189 Resolvents , 149 , 151 Skolem

... 145 within AND / OR graphs , 234 - 241 for general clauses , 150 - 152 for ground clauses , 149 - 150 references for , 156 Resolution refutations , 161 references for , 189 Resolvents , 149 , 151 Skolem

**functions**, 146 - 147 Slots ...### What people are saying - Write a review

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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