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 Intelligence"evolved 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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have a “ robot - type " problem in which the system must find a sequence of robot
actions that change a configuration of blocks . We can specify the goal by a wff
that describes the set of states acceptable as goal states . Referring to Figure 4 .
Robot problem solving and automatic programming are two domains in which
these kinds of problems occur . 7 . 1 . ROBOT PROBLEM SOLVING Research on
robot problem solving has led to many of our ideas about problem solving
The action synthesis part of the robot problem can be solved by a production
system . The global database is a description of the situation , or state , of the
world in which the robot finds itself , and the rules are computations representing
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PRODUCTION SYSTEMS AND AI
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