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 Intelligenceevolved 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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... delineation unit for this set is used to describe each of the individuals in the set . We let this delineation unit be a sorted universal variable whose domain of universal quantification is the set . The sort of the variable , that is ...
... delineation unit to the fact unit involves adding , to the fact unit , the slots " major : CS " and " class : GRAD . " Thus extended , the fact unit JOHN matches our goal unit JOHN . Used in the backward direction on the goal unit , the ...
... delineation of ELEPHANTS to answer our query . Such a delineation might be as follows : y | ELEPHANTS color : GRAY This scheme , of countermanding general information by conflicting specific information , can be extended to several ...
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