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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... blocks . We can specify the goal by a wff that describes the set of states acceptable as goal states . Referring to Figure 4.1 , we might want to have block A on block B , and block B , in turn , on block C. Such a goal state ( or ...
... 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 statements by a set of implications having single ...
... block is on it . The ON predicate is used to describe which blocks are ( directly ) on other blocks . The " robot ... block B was on block C , and block A was on block B , we might describe the goal as : ON ( B , C ) ^ ON ( A , B ) .片 ...
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