Principles of Artificial Intelligence
A 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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... 61 Uninformed Graph-search Procedures 68 Heuristic Graph-search Procedures ... Searching AND/OR Graphs 99 AO*: A Heuristic Search Procedure for AND/OR ...
THE BASIC 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 satisfies the termination condition, do: 3 begin 4 select some rule, R, in the set of rules that ...
Various kinds of graph structures and graph searching procedures are used in this type of control. 1.1.4. EXAMPLES OF CONTROL REGIMES 18.104.22.168. Irrevocable.
The basic procedure for a decomposable production system might look something like the following: Procedure SPLIT 1 DATA – initial database 2 (Di) ...
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CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS
CHAPTER 4 THE PREDICATE CALCULUS IN AI
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS
CHAPTER 7 BASIC PLANGENERATING SYSTEMS
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS