In this episode we will learn how to use “rules” to represent knowledge. We discuss how this works in practice and we explain how these ideas are implemented in a special architecture called the production system. The challenges of representing knowledge using rules are also discussed. Specifically, these challenges include: issues of feature representation, having an adequate number of rules, obtaining rules that are not inconsistent, and having rules that handle special cases and situations. To learn more, visit:

www.learningmachines101.com

 

Podden och tillhörande omslagsbild på den här sidan tillhör Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.. Innehållet i podden är skapat av Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E. och inte av, eller tillsammans med, Poddtoppen.