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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... goal above the compound goal in the goal stack . A reasonable approach is first to find all of those components that ... stack mechanism of the language ( such as LISP ) in which recursive STRIPS is implemented . The program for ...
... goal in the stack , it groups these components along with their compound goal within a vertical parenthesis in the stack . We shall see the use of this grouping shortly . The goal stack portion of the global database produced by RSTRIPS ...
... 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
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