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 vii
... Procedures 68 PRODUCTION SYSTEMS 53 2.1 . Backtracking Strategies 55 2.2 . 2.3 . 2.4 . 2.5 . 2.6 . 2.7 ... Procedure for AND / OR Graphs 103 Some Relationships Between Decomposable and Commutative Systems 109 Searching Game ...
... Procedures 68 PRODUCTION SYSTEMS 53 2.1 . Backtracking Strategies 55 2.2 . 2.3 . 2.4 . 2.5 . 2.6 . 2.7 ... Procedure for AND / OR Graphs 103 Some Relationships Between Decomposable and Commutative Systems 109 Searching Game ...
Page 20
... PROCEDURE The basic production system algorithm for solving a problem like the 8 - puzzle can be written in nondeterministic form as follows : Procedure PRODUCTION 1 DATA + initial database 2 until DATA 20 PRODUCTION SYSTEMS AND AI.
... PROCEDURE The basic production system algorithm for solving a problem like the 8 - puzzle can be written in nondeterministic form as follows : Procedure PRODUCTION 1 DATA + initial database 2 until DATA 20 PRODUCTION SYSTEMS AND AI.
Page 21
... procedure is nondeterministic because we have not yet specified precisely how we are going to select an applicable rule in statement 4. Selecting rules and keeping track of those sequences of rules already tried and the databases they ...
... procedure is nondeterministic because we have not yet specified precisely how we are going to select an applicable rule in statement 4. Selecting rules and keeping track of those sequences of rules already tried and the databases they ...
Page 22
... procedures are used in this type of control . 1.1.4 . EXAMPLES OF CONTROL REGIMES 1.1.4.1 . Irrevocable . At first thought , it might seem that an irrevocable control regime would never be appropriate for production systems expected to ...
... procedures are used in this type of control . 1.1.4 . EXAMPLES OF CONTROL REGIMES 1.1.4.1 . Irrevocable . At first thought , it might seem that an irrevocable control regime would never be appropriate for production systems expected to ...
Page 39
... procedure for a decomposable production system might look something like the following : Procedure SPLIT 1 DATA ← initial database ← 2 { Di } decomposition of DATA ; the individual Di are now regarded as separate databases 3 until all ...
... procedure for a decomposable production system might look something like the following : Procedure SPLIT 1 DATA ← initial database ← 2 { Di } decomposition of DATA ; the individual Di are now regarded as separate databases 3 until all ...
Contents
| 1 | |
| 17 | |
| 53 | |
CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS | 99 |
CHAPTER 4 THE PREDICATE CALCULUS IN AI | 131 |
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS | 161 |
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS | 193 |
CHAPTER 7 BASIC PLANGENERATING SYSTEMS | 275 |
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS | 321 |
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS | 361 |
PROSPECTUS | 417 |
BIBLIOGRAPHY | 429 |
AUTHOR INDEX | 467 |
SUBJECT INDEX | 471 |
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Common terms and phrases
8-puzzle achieve actions Adders 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 game tree 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 methods monotone restriction negation node labeled ONTABLE(A optimal path pickup(A precondition predicate calculus problem-solving procedure production rules production system proof prove recursive regress represent representation resolution refutation result robot problem rule applications 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