The Mathematics of Interdependence for Superordinate Decision-Making with Teams

As a work-in-progress, the purpose of this manuscript is to review the function of decision-making as a human process in the field affected by interdependence (additive and destructive social interference). The scope of this review is first, to define and describe why interdependence is difficult to grasp intellectually, but much easier intuitively in social contexts (bistability, convergence to incompleteness, non-factorable social states); second, to describe our research accomplishments and applications to hybrid teams (arbitrary combinations of humans, machines and robots); and third, to advance our research by beginning to incorporate the value of intelligence for teams as they strive to achieve a team’s superordinate goals (e.g., in the tradeoffs between a team’s structure and its effort to achieve its mission with maximum entropy production, MEP). We discuss prior results, future research plans and draw conclusions for the development of theory.