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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... termination condition . That is , if we are to work on each component separately , we must be able to express the global termination condition using the termination conditions of each of the components . The most important case occurs ...
... termination conditions are called decomposable . The basic procedure for a decomposable production system might look ... condition , do : 4 begin 5 select D * from among those { Di } that do not satisfy the termination condition 6 remove ...
... condition . Termination must involve the proper kind of abutment between the two graph structures . These structures ... termination condition is a straightforward generalization of the procedure for deciding whether the root node of an ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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