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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... database / operations / control modules interacting in a complex fashion . Our point is that a system consisting of separate database , operations , and control components represents an appropriate metaphorical building block for ...
... database denoted by SO . After applying any one of these rules , all three rules are still applicable to the resulting databases ; after applying any pair in sequence , the three are still applicable . Furthermore , Figure 1.8 ...
... database to termination , the database resulting from just one of the rule applications must be processed to termination . In Figure 1.10 , any node corresponding to a component database satisfying the termination condition ( in this ...
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