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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... 8 - puzzle and certain other problems , we can easily identify elements of the problem that correspond to these three components . These elements are the problem states , moves , and goal . In the 8 - puzzle , each tile configuration is ...
... 8 - puzzle is conveniently interpreted as having the following four moves : Move empty space ( blank ) to the left , move blank up , move blank to the right , and move blank down . These moves are modeled by production rules that ...
... 8 - puzzle we might use , as a function of the state description , the negative of the number of tiles " out of ... puzzle . The value of our hill - climbing function for each state description is circled . The figure shows that one of ...
PRODUCTION Systems and AI
SEARCH Strategies FOR
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