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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... described in a book by Winograd ( 1972 ) . The book by Newell et al . ( 1973 ) describes the five - year goals of a research project to develop a speech understanding system ; the major results of this research are described in papers ...
... described the initial state and another set that described the effects of the various robot actions on states . To keep track of which facts were true in which state , Green included a " state " or " situation " variable in each ...
... described by the unit is a member of some set . ( If the object described by the unit had been a set itself , then an SS predicate would have been used to state that it was a subset of some other set . ) Second , the values of the ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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