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 215
Performing all ( goal ) resolutions on L between the clauses deriving from ( W ^ ~ L ) and the goal wff clauses produces a set of resolvents that are identical to clauses included among those associated with the consistent solution ...
Performing all ( goal ) resolutions on L between the clauses deriving from ( W ^ ~ L ) and the goal wff clauses produces a set of resolvents that are identical to clauses included among those associated with the consistent solution ...
Page 217
We show a consistent solution graph for this problem in Figure 6.10 . The fact nodes are shown double - boxed , and rule applications are labeled by the rule number . To verify the consistency of this solution graph , we compute the ...
We show a consistent solution graph for this problem in Figure 6.10 . The fact nodes are shown double - boxed , and rule applications are labeled by the rule number . To verify the consistency of this solution graph , we compute the ...
Page 218
then checking it for consistency . If this candidate graph is not consistent , the search must continue until a consistent one is found . A more sophisticated strategy would involve checking for consistency as the partial , candidate ...
then checking it for consistency . If this candidate graph is not consistent , the search must continue until a consistent one is found . A more sophisticated strategy would involve checking for consistency as the partial , candidate ...
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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
Bibliographic information
| Title | Principles of Artificial Intelligence |
| Author | Nils J. Nilsson |
| Edition | illustrated, reprint |
| Publisher | Morgan Kaufmann Publishers, 1986 |
| Original from | the University of Virginia |
| Digitized | 27 Jul 2009 |
| ISBN | 0934613109, 9780934613101 |
| Length | 476 pages |
| Export Citation | BiBTeX EndNote RefMan |