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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... Specify ( in detail ) a search algorithm that uses an evaluation function with a heuristic component . 3.5 Represent the configuration of a tic - tac - toe board by a nine - dimen- sional vector , c , having components equal to +1 , 0 ...
... specify a syntax we must specify the alphabet of symbols to be used in the language and how these symbols are to be put together to form legitimate expressions in the language . The legitimate expressions of the predicate calculus are ...
... specify explicitly a set of B - rules to be used on them and the order in which these B - rules should be applied . Similarly , whenever a rule of the form P⇒ [ Q1 ^ ...... . ^ QN ] is used as an F - rule , he may want to specify an ...
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