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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... procedure captures the essence of the operation of a production system under backtracking control . This procedure , which we call BACKTRACK , takes a single argument , DATA , initially set equal to the global database of the production ...
... procedure using an evaluation function with a heuristic compo- nent can be devised for AND / OR graphs . We now describe a search procedure that uses a heuristic function h ( n ) that is an estimate of h * ( n ) , the cost of an optimal ...
... procedure . The procedure terminates when all of the successors of the start node have been given final backed - up values , and the best first move is then the one creating that successor having the highest backed - up value ...
PRODUCTION SYSTEMS AND AI
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