Using Information Entropy to Model a Wide Variety of Complex Behaviors within Organizations

Computational Organization Design

Volume

Papers from the 1994 AAAI Spring Symposium

Contents

This paper deals with issues surrounding not codifying the semantic possibilities within a problem space as they relate to explaining variability in behavior or structure. This paper proposes that given a sufficient amount of complexity in the problem space (either high uncertainty in the probability of an events occurrence; ambiguity due to the subjective nature of an individual’s decision space; or high uncertainty in the role of individuals within the problem space) that many of the problems involved in explaining variability in behavior are negligible, and a computational model of the problem space can be created.