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 .
Now suppose the system has just executed the first i – 1 actions of a plan
sequence . Then , in order for the remaining part of the plan ( consisting of the i -
th and subsequent actions ) to be both applicable and appropriate for achieving
Another important component of commonsense reasoning is the ability to reason
about actions , processes and plans . To do so , we first need ways of
representing these concepts . In the bibliographic remarks sections of chapters 7
and 8 ...
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