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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... 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 between a person doing the ...
... 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 ...
... represent these statements in the predicate calculus as follows : Fact : EL ( JOHN , CS - STUDENTS ) Rule : EL ( x ... represent and use the implicational rule in a system based on unit notation . In the unit formalism , we represent ...
PRODUCTION Systems and AI
SEARCH Strategies FOR
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