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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1 , we might want to have block A on block B , and block B , in turn , on block C .
Such a goal state ( or rather set of states ) could be expressed by the goal
formula ( ON ( A , B ) A ON ( B , C ) ) . Note that this goal formula certainly cannot
The following statements provide general knowledge about this blocks world :
Every big , blue block is on a green block . Each heavy , wooden block is big . All
blocks with clear tops are blue . All wooden blocks are blue . Represent these ...
As an example , consider the robot hand and configuration of blocks shown in
Figure 7 . 1 . This situation can be represented by the conjunction of formulas
shown in the figure . The formula CLEAR ( B ) means that block B has a clear top
; that ...
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