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 122
... Consider the first stage of the tic - tac - toe tree shown in Figure 3.8 . We repeat part of this tree in Figure 3.11 . Suppose that search had progressed in a depth - first manner and that whenever a tip node is generated , its static ...
... Consider the first stage of the tic - tac - toe tree shown in Figure 3.8 . We repeat part of this tree in Figure 3.11 . Suppose that search had progressed in a depth - first manner and that whenever a tip node is generated , its static ...
Page 352
... considers one of them , say , ON ( C , B ) , and adds stack ( C , B ) to the goal stack . ( If ABSTRIPS had selected ... consider some of the details . We can effectively pass down the higher level solution by beginning the process at ...
... considers one of them , say , ON ( C , B ) , and adds stack ( C , B ) to the goal stack . ( If ABSTRIPS had selected ... consider some of the details . We can effectively pass down the higher level solution by beginning the process at ...
Page 387
... consider a frequently occurring special use : when an implication asserts properties about every member of a given set . Consider , for example , the sentence " All computer science students have graduate standing . " From this ...
... consider a frequently occurring special use : when an implication asserts properties about every member of a given set . Consider , for example , the sentence " All computer science students have graduate standing . " From this ...
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