Models versus rules, deep versus compiled content versus form: some distinctions in knowledge systems research

Abstract

Four distinctions that are made in the literature on knowledge system design are examined. They are: model-based versus rule-based problem solving, models versus experiential or associational knowledge, deep versus compiled knowledge, and content versus form. The focus is on the diagnostic task, since these distinctions have most often been debated in the context of this problem, but the issues are relevant to knowledge systems in general.