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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... problems . For these reasons , theorem proving is an extremely important topic in the study of AI methods . 0.1.5 . ROBOTICS The problem of controlling the physical actions of a mobile robot might not seem to require much intelligence ...
... problem solving systems . Since robot problems are simple and intuitive , we use examples from this domain to illustrate the major ideas . In the typical formulation of a " robot problem " we have a robot that has a repertoire of ...
... problems that the other cannot . In fact , by suitable control mechanisms , the problem - solving traces of different types of systems can be made essentially identical . The point is that to solve robot problems efficiently with ...
PRODUCTION Systems and AI
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