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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... unit called a delineation unit . Such a unit describes ( delineates ) each of the individuals in a set denoted by ... unit as a special form of implicational rule . Delineation units can be used in the forward direction to create new ...
... unit to the fact unit involves adding , to the fact unit , the slots " major : CS " and " class : GRAD . " Thus extended , the fact unit JOHN matches our goal unit JOHN . Used in the backward direction on the goal unit , the delineation ...
... units ( possibly containing variables ) . When a unit rule is used in the forward direction , if all of the units in the ANTE ( regarded as goal units ) are matched by fact units , then the units in the CONSE ( properly instan- tiated ) ...
PRODUCTION SYSTEMS AND AI
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