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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The problem is to integrate J ( 1 – x2y5 / zdx Algebraic substitutions Example x ?
dx J ( 2 + 3x ) 43 423 + 4 ) dz using z2 = ( 2 + 3x ) 43 Trigonometric substitutions
Example Sanda l só cot csc o de using x = - tan e Division of numerator by ...
Suppose , for example , that we wanted to represent the fact that someone wrote
something . We might use the predicate symbol WRITE to denote a relationship
between a person doing the writing and a thing written . We can compose a ...
( For this example , ON is not transitive ; it is intended to mean immediately on top
. ) The formula ONTABLE ( B ) is intended to mean that B is somewhere on the
table . The last formula in the list gives information about how CLEAR and ON are
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