A mechanism design framework for the acquisition of independently managed systems of systems

This paper applies results from studies of the acquisition process and from algorithmic methods applicable to the mechanism design of agent-based auctions to modeling behaviors and effecting policy interventions that are intended to improve overall programmatic performance when acquiring independently managed systems of systems. Previous models and empirical studies provide an understanding of the behavioral aspects of the acquisition process and are supported by empirical data from surveys. A method inspired by mechanism design is proposed that incorporates the insights and data from these studies to formulate a probabilistic optimization framework for constructing interventions that enhance the probability of meeting cost and schedule goals when acquiring a system of systems.