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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... debugging as a problem-solving strategy. It has been found that it is often much more efficient to produce an inexpensive, errorful solution to a programming or robot control problem and then modify it (to make it work correctly), ...
... all under the control of some global control strategy. We stress the importance of identifying an appropriate level of description; near the machine-code level, any neat separation into distinct components can disappear; ...
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 ...
The control strategy repeatedly applies rules to state descriptions until a description of a goal state is produced. It also keeps track of the rules that have been applied so that it can compose them into the sequence representing the ...
Selecting rules and keeping track of those sequences of rules already tried and the databases they produced constitute what we call the control strategy for production systems. In most AI applications, the information available to the ...
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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