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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... suppose the control system selects and applies R1 producing database DB2 ; then suppose the control system selects applicable rule R3 and applies it to DB2 , to produce DB3 ; and at this point , suppose the control system decides that ...
... Suppose that A , is more informed than A , and that both A , and A , are versions of A * . Suppose that A , and A , are used to search an implicit graph having a path from a given node s to a goal node . Both , of course , will ...
... suppose the input to a program is denoted by the variable " x , " and the output is denoted by the variable " y . " Now suppose that we want to synthesize a program such that the relationship P holds between input and output . We can ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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