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
Results 1-3 of 45
Page 167
... refutation exists whenever any refutation exists and , therefore , that the set of support can be made the basis of a complete strategy . The strategy need only guarantee to search for all possible set - of - support refutations ( in ...
... refutation exists whenever any refutation exists and , therefore , that the set of support can be made the basis of a complete strategy . The strategy need only guarantee to search for all possible set - of - support refutations ( in ...
Page 169
... refutation tree of Figure 5.1 is one that might have been produced by a unit - preference strategy . 5.2.4 . THE LINEAR - INPUT FORM STRATEGY A linear - input form refutation is one in which each resolvent has at least one parent ...
... refutation tree of Figure 5.1 is one that might have been produced by a unit - preference strategy . 5.2.4 . THE LINEAR - INPUT FORM STRATEGY A linear - input form refutation is one in which each resolvent has at least one parent ...
Page 188
... refutation tree . In conclusion , the steps of the answer extraction process can be summarized as follows : 1. A resolution - refutation tree is found by some search process . The unification subsets of the clauses in this tree are ...
... refutation tree . In conclusion , the steps of the answer extraction process can be summarized as follows : 1. A resolution - refutation tree is found by some search process . The unification subsets of the clauses in this tree are ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
10 other sections not shown
Other editions - View all
Common terms and phrases
achieve actions algorithm AND/OR graph answer applied arcs Artificial Intelligence assume attempt backtracking backward block called chapter clause CLEAR CLEAR(C complete component condition consider consistent contains control strategy corresponding cost database deduction Deleters described direction discussed 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