Parametrization of knowledge structures

Abstract A knowledge space was defined as a family of subsets of questions closed under union. This concept provides a formal background for the design of knowledge assessment algorithms. We investigate here various numerical parameters measuring in some sense the intricacy of such a structure. Two sources are considered for these parameters: axiomatic convexity and the theory of ordered sets.