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 134
... disjunctions , and each of the component formulas is called a disjunct . Any disjunction composed of wffs is also a wff . The truth values of conjunctions and disjunctions are determined from the truth values of the components . A ...
... disjunctions , and each of the component formulas is called a disjunct . Any disjunction composed of wffs is also a wff . The truth values of conjunctions and disjunctions are determined from the truth values of the components . A ...
Page 148
... disjunctions of literals . Such a matrix is said to be in conjunctive normal form . Examples of matrices in conjunc ... disjunction of literals is called a clause . Our example wff is transformed into the following set of clauses : ~ P ...
... disjunctions of literals . Such a matrix is said to be in conjunctive normal form . Examples of matrices in conjunc ... disjunction of literals is called a clause . Our example wff is transformed into the following set of clauses : ~ P ...
Page 373
... disjunction , each disjunctive predicate is drawn within the enclosure , and the enclosure is labeled DIS . Thus , the expression 【 EL ( A , B ) \ SS ( B , C ) ] is represented as in Figure 9.4 . To set off a conjunction nested within ...
... disjunction , each disjunctive predicate is drawn within the enclosure , and the enclosure is labeled DIS . Thus , the expression 【 EL ( A , B ) \ SS ( B , C ) ] is represented as in Figure 9.4 . To set off a conjunction nested within ...
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 CONT(Y,A 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 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 universally quantified unstack(C,A variables WORKS-IN