A nonlinear approach to game theory has been designed to resolve two of its major problems: The arbitrariness of valuing cooperation greater than competition in determining social welfare; and the lack of interdependent uncertainty. The approach is to develop quantum or bistable agents and relationships. The quantum approach means that agents in relationships are more likely to be found in bistable states that correspond to their observation-action or energy-time levels; e.g., the more complex, competitive, or conflictual the state, the greater the energy required but also the less time available to enact an action. In our view, games are initialized, evolved to a state that solves a target problem, then measured, consequently creating a measurement problem. In past research, we have resolved the measurement problem. The measurement problem led to the development of metrics that have been applied to organizations in the field (we briefly illustrate an application to military Medical Department Research Centers). In this paper, we focus on modeling control in bistable close and market relationships to produce evolvable systems.