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.
Results 1-3 of 30
Although there is no formal difference between a production system that works on
a problem in a forward direction and one that works in a backward direction , it is
often convenient to make this distinction explicit . When a problem has ...
There is an interesting manner in which the rewrite rules of our example can be
used in the reverse direction . We say that such a reverse rule is applicable if the
global database contains symbols matching all the symbols of the right - hand ...
Separating the rules into B - rules and F - rules relieves the control strategy of the
burden of deciding on the direction of rule application . The best direction in
which to apply a rule sometimes depends on the domain . As an example of the ...
What people are saying - Write a review
PRODUCTION SYSTEMS AND AI
SEARCH STRATEGIES FOR
10 other sections not shown