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 68
... depth - first search and breadth - first search . The first type of uninformed search orders the nodes on OPEN in descending order of their depth in the ... SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS Uninformed Graph-search Procedures.
... depth - first search and breadth - first search . The first type of uninformed search orders the nodes on OPEN in descending order of their depth in the ... SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS Uninformed Graph-search Procedures.
Page 69
... depth - first version of GRAPHSEARCH because back- tracking is simpler to implement and involves less storage . ( Backtracking strategies save only one path to a goal node ; they do not save the entire record of the search as do depth - ...
... depth - first version of GRAPHSEARCH because back- tracking is simpler to implement and involves less storage . ( Backtracking strategies save only one path to a goal node ; they do not save the entire record of the search as do depth - ...
Page 472
Nils J. Nilsson. Branching factor , of search processes , 92-94 Breadth - first search , 69-71 Breadth - first strategy , in resolution , 165-166 CANCEL relation , in theorem proving , 254-257 , 270 Candidate solution graph , 217-218 ...
Nils J. Nilsson. Branching factor , of search processes , 92-94 Breadth - first search , 69-71 Breadth - first strategy , in resolution , 165-166 CANCEL relation , in theorem proving , 254-257 , 270 Candidate solution graph , 217-218 ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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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 global database goal 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