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 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 | |
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Common terms and phrases
8-puzzle achieve actions Adders AI production 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 contains control regime control strategy cost Deleters delineation depth-first search described discussed disjunction domain element-of evaluation function example existentially quantified F-rule formula frame problem global database goal expression goal node goal stack goal wff graph-search HANDEMPTY heuristic HOLDING(A implication initial state description knowledge literal nodes logic methods monotone restriction natural language processing negation node labeled ONTABLE(A optimal path pickup(A precondition predicate calculus problem-solving procedure production system proof prove recursive regress represent representation resolution refutation result robot problem rule applications search graph search tree selected semantic network sequence shown in Figure Skolem function solution graph solve stack(A STRIPS structure subgoal substitutions successors Suppose symbols termination condition theorem theorem-proving tip nodes universally quantified unstack(C,A variables WORKS-IN