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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... literals and if all of the mgu's are consistent ( that is , if these mgu's have a unifying composition ) . If such a ... literals ( possibly containing free variables ) called the delete list . When an F - rule is applied to a state ...
... literals . Therefore , if a goal expression contains a literal , L , that unifies with one of the literals in the add list of an F - rule , then we know that if we produce a state description that matches appropriate instances of the ...
Nils J. Nilsson. literals . ) Let R [ Q ; Fu ] be the regression of a literal Q through a ground instance Fu of an F ... literals ; otherwise , it is itself . Regressing expressions through incompletely instantiated F - rules is slightly ...
PRODUCTION SYSTEMS AND AI
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