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

Rodney Fuller

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.


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