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. |
From inside the book
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... STRIPS rules that correspond to the models of robot actions . These top - level rules change the global database , consisting of both state description and goal stack . STRIPS rules are named in the goal stack and are used to change the ...
Nils J. Nilsson. 7.5.1 . CONTROL STRATEGIES FOR STRIPS Several decisions must be made by the control component of the STRIPS system . We'll mention some of these briefly . First , it must decide how to order the components of a compound ...
... STRIPS . 7.5.3 . A PROBLEM THAT STRIPS CANNOT SOLVE STRIPS produces straightforward solutions to many problems , but , as we have seen , there are some problems for which STRIPS may produce solutions longer than necessary . Also , there ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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