Principles of Artificial Intelligence
A 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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... stack . STRIPS rules are named in the goal stack and are used to change the state description . The operation of the STRIPS system with a graph - search control regime produces a graph of global databases , and a solution corresponds to ...
... stack ( A , B ) , was also the rule that achieved ON ( A , B ) , RSTRIPS regresses ON ( B , C ) through stack ( A , B ) to yield ON ( B , C ) . In this case , the subgoal was not changed by regression , and RSTRIPS now attempts to ...
... stack ( C , B ) to the goal stack . ( If ABSTRIPS had selected the other component to work on first , it would later have had to back up ; the reader might want to explore this path on his own . ) No preconditions ( of stack ) are added ...
PRODUCTION Systems and AI
SEARCH Strategies FOR
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