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 29
... representations are still poorly understood . It seems that desirable shifts in a problem's representation depend on experience gained in attempts to solve it in a given representation . This experience allows us to recognize the ...
... representations are still poorly understood . It seems that desirable shifts in a problem's representation depend on experience gained in attempts to solve it in a given representation . This experience allows us to recognize the ...
Page 198
... representation for a set of clauses . [ The AND / OR graph representation for an expression is actually slightly less general than the clause representation , however , because not multiplying out common subexpressions can prevent ...
... representation for a set of clauses . [ The AND / OR graph representation for an expression is actually slightly less general than the clause representation , however , because not multiplying out common subexpressions can prevent ...
Page 361
... representation , the system designer must also decide on how predicate calculus expressions are to be encoded in ... representation used in large AI systems . In this chapter , we describe some of the specialized representations that ...
... representation , the system designer must also decide on how predicate calculus expressions are to be encoded in ... representation used in large AI systems . In this chapter , we describe some of the specialized representations that ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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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