Abstract
The concept of a binary preference structure generating decision principle is proposed as a device to treat extremely complex decision situations. We argue two types of binary preference structure generating decision principles: the first is for complexity management of a dynamic environment by constructing a model of the environment. The second is the satisfaction decision principle for complexity management by increasing the internal complexity. For both cases we formulate the decision principles as decision principle functors in category theoretic terms to reveal new aspects of the decision principles. We also identify universal maps for the functors and investigate their decision theoretic meaning.