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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Using this ordering relation , the rules that are applicable to the initial database
would be ordered as follows : ( R12 , R13 , R1 , R2 ) . The reader might verify that
this ordering scheme solves the 4 - queens problem with only 2 backtracks .
This formulation involved one set of assertions that described the initial state and
another set that described the effects of the various robot actions on states . To
keep track of which facts were true in which state , Green included a “ state ” or ...
1 Starting with the initial state description shown in Figure 7 . 1 , show how
RSTRIPS would achieve the goal ( ON ( B , A ) ^ ON ( C , B ) ) . 8 . 2 Use any of
the plan generating systems described in chapters 7 and 8 to solve the following
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