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 299
... STRIPS rules that correspond to the models of robot actions . These top - level rules change the global database , consisting of both state description and goal stack . STRIPS rules are named in the goal stack and are used to change the ...
... STRIPS rules that correspond to the models of robot actions . These top - level rules change the global database , consisting of both state description and goal stack . STRIPS rules are named in the goal stack and are used to change the ...
Page 302
Nils J. Nilsson. 7.5.1 . CONTROL STRATEGIES FOR STRIPS Several decisions must be made by the control component of the STRIPS system . We'll mention some of these briefly . First , it must decide how to order the components of a compound ...
Nils J. Nilsson. 7.5.1 . CONTROL STRATEGIES FOR STRIPS Several decisions must be made by the control component of the STRIPS system . We'll mention some of these briefly . First , it must decide how to order the components of a compound ...
Page 305
... STRIPS . 7.5.3 . A PROBLEM THAT STRIPS CANNOT SOLVE STRIPS produces straightforward solutions to many problems , but , as we have seen , there are some problems for which STRIPS may produce solutions longer than necessary . Also , there ...
... STRIPS . 7.5.3 . A PROBLEM THAT STRIPS CANNOT SOLVE STRIPS produces straightforward solutions to many problems , but , as we have seen , there are some problems for which STRIPS may produce solutions longer than necessary . Also , there ...
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