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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A predicate symbol is used to represent a relation in a domain of discourse .
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 ...
To represent an English sentence by an atomic formula , we focus on the
relations and entities that the sentence describes and represent them by
predicates and terms . Often , the predicate is identified with the verb of the
sentence , and the ...
We could represent these statements in the predicate calculus as follows : Fact :
EL ( JOHN , CS - STUDENTS ) Rule : EL ( x , CS - STUDENTS ) EQ [ class ( x ) ,
GRAD ) Goal : EQ [ class ( JOHN ) , GRAD ] An ordinary predicate calculus ...
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PRODUCTION SYSTEMS AND AI
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