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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... operations , and control . That is , if these systems are described at an appropriate level , one can often identify a ... operation of many Al systems . The major elements of an AI production system are a global database , a set of ...
... operations . First , a top - down , graph - growing operation ( steps 4-6 ) finds the best partial solution graph by tracing down through the marked connectors . These ( previously computed ) marks indicate the current best partial ...
... operation is also possible . The details about rule operation and termination are explained in the next few pages . This sort of theorem - proving system is a direct system rather than a refutation system . A direct system is not ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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