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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... FRAME PROBLEM To use a familiar analogy , the changes between one state description and another can be compared to changes between frames in an animated film . In very simple animations , certain characters move in a fixed background from ...
... frame problem is more critical for the detailed models because they must take into account couplings among world state components that might be ignored at higher levels . Another aspect of the frame problem concerns how to deal with ...
... problem - solving systems , to be discussed in the next chapter . One way to specify the appropriate control strategies ... frame problems not overcome by 315 BIBLIOGRAPHICAL AND HISTORICAL REMARKS Bibliographical and Historical Remarks.
PRODUCTION Systems and AI
SEARCH Strategies FOR
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