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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... initial database would be ordered as follows : ( R12 , R13 , R11 , R14 ) . The reader might verify that this ordering scheme solves the 4 - queens problem with only 2 backtracks . As previously mentioned , we need a slightly more ...
... 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 predicate . The goal ...
... Initial Goal 8.3 Show how DCOMP would solve the following blocks - world prob- lem : Д B A C Initial A B C Goal Use the predicates and STRIPS rules of chapter 7 to represent states and actions . 8.4 An initial blocks - world situation ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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