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 25
The backtracking process is one way in which the control strategy can be tentative . A rule is selected , and if it doesn't lead to a solution , the intervening steps are " forgotten , " and another rule is selected instead .
The backtracking process is one way in which the control strategy can be tentative . A rule is selected , and if it doesn't lead to a solution , the intervening steps are " forgotten , " and another rule is selected instead .
Page 55
We begin our discussion of tentative control by describing backtracking methods . 2.1 . BACKTRACKING STRATEGIES In chapter 1 we presented a general description of the backtracking control strategy and illustrated its use on the 8 ...
We begin our discussion of tentative control by describing backtracking methods . 2.1 . BACKTRACKING STRATEGIES In chapter 1 we presented a general description of the backtracking control strategy and illustrated its use on the 8 ...
Page 60
The 8 - puzzle example of backtracking in chapter 1 used BOUND = 7 and also checked to see if a tile configuration had been visited previously . Note that the recursive algorithm does not remember all databases that it visited ...
The 8 - puzzle example of backtracking in chapter 1 used BOUND = 7 and also checked to see if a tile configuration had been visited previously . Note that the recursive algorithm does not remember all databases that it visited ...
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Contents
PROLOGUE | 1 |
PRODUCTION Systems and AI | 17 |
SEARCH Strategies FOR | 53 |
Copyright | |
10 other sections not shown
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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 DCOMP 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 leaf nodes literal nodes monotone restriction negation node labeled ONTABLE(A optimal path pickup(A precondition predicate calculus procedure production system prove recursive regress represent representation resolution refutation result robot problem rule applications rule-based deduction systems search graph search tree 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 unifying composition universally quantified unstack(C,A WORKS-IN