Principles of Artificial IntelligenceA 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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... intelligence . If such a science of intelligence could be developed , it could guide the design of intelligent machines as well as explicate intelligent behavior as it occurs in humans and other animals . Since the development of such a ...
... Intelligence , University of Edinburgh , Hope Park Sq . , Edinburgh , EH8 9NW , Scotland . ) SCAISB - 76 1976. Conference Proceedings , Summer Conference on Artificial Intelligence and Simulation of Behavior . Department of Artificial ...
... Intelligence Center , Stanford Research Institute , Menlo Park , CA ; March . Barstow , D. 1979. Knowledge - Based Program Construction . New York : North - Holland . Baudet , G. M. 1978. On the branching factor of the alpha - beta ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
10 other sections not shown