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 5
... problems . For these reasons , theorem proving is an extremely important topic in the study of AI methods . 0.1.5 . ROBOTICS The problem of controlling the physical actions of a mobile robot might not seem to require much intelligence ...
... problems . For these reasons , theorem proving is an extremely important topic in the study of AI methods . 0.1.5 . ROBOTICS The problem of controlling the physical actions of a mobile robot might not seem to require much intelligence ...
Page 275
... Robot problem solving and automatic programming are two domains in which these kinds of problems occur . 7.1 . ROBOT PROBLEM SOLVING Research on robot ... problem can be 275 CHAPTER 7: BASIC PLAN-GENERATING SYSTEMS Robot Problem Solving.
... Robot problem solving and automatic programming are two domains in which these kinds of problems occur . 7.1 . ROBOT PROBLEM SOLVING Research on robot ... problem can be 275 CHAPTER 7: BASIC PLAN-GENERATING SYSTEMS Robot Problem Solving.
Page 308
Nils J. Nilsson. example , to formulate robot problems so that they can be solved by commutative production systems ... problem as a problem of deduction is , perhaps , a bit more complex and awkward than using STRIPS - form rules , but ...
Nils J. Nilsson. example , to formulate robot problems so that they can be solved by commutative production systems ... problem as a problem of deduction is , perhaps , a bit more complex and awkward than using STRIPS - form rules , but ...
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 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(B implication initial state description knowledge leaf nodes literal nodes logic negation node labeled ONTABLE(A optimal path pickup(A precondition predicate calculus problem-solving procedure production system proof prove recursive regress represent representation result robot problem rule applications search graph search tree selected semantic network sequence shown in Figure Skolem function solution graph solve SRI International stack(A STRIPS structure subgoal substitutions successors Suppose symbols termination condition theorem theorem-proving tip nodes unifying composition universally quantified unstack(C,A variables WORKS-IN