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.
(The reader should not confuse the phrase “global database,” as it is used in this book, with the databases of database systems.) The production rules operate on the global database. Each rule 17 CHAPTER 1. PRODUCTION SYSTEMS AND AI 1.1 ...
The production rules operate on the global database. Each rule has a precondition that is either satisfied or not by the global database. If the precondition is satisfied, the rule can be applied. Application of the rule changes the ...
To solve a problem using a production system, we must specify the global database, the rules, and the control strategy. Transforming a problem statement into these three components of a production system is often called the ...
These moves are modeled by production rules that operate on the state descriptions in the appropriate manner. The rules each have preconditions that must be satisfied by a state description in order for them to be applicable to that ...
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 can be applied to DATA 5 DATA - result of applying R to DATA 6 end 1.1.3.
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CHAPTER 2 SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS
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