Title: Mission Engineering Support Platform: Human Augmentation and Interoperability in Hilbert Space
Author(s): Mustafa Canan and Andres Sousa-Poza; Old Dominion University
In this paper, interoperability is discussed in context of mission engineering. We show that this requires (1) highly advanced mathematical models to integrate the three dimensions (physical, information and cognitive) of the information environment, and (2) a decision support platform/environment that can accommodate the complexities and dynamics of the MEAII problem space. Missions are attained through the interaction of components and systems. In simple, physical systems, the interaction of the components is well understood, and the mission can be stated concretely in terms of its components. The interaction between components is typically defined by physical relationships (statics, dynamics) for which concrete information and data exchange is possible. The MEAII being explored is intended for complex conditions. These combine technical, social, and constructed components. Integration of components relies on higher order constructs (such as awareness, meaning, or understanding) for which conceptual interoperability is required. This type of operation is influenced, and relies significantly, on the cognitive dimension functioning within an information environment. Failure to consider, or oversimplifying, the cognitive dimension can result in misalignment with the situation and end goal of the mission. Based on current research conducted at Old Dominion University, we propose that a mission engineering support platform can be developed on the mathematical axioms defined by Hilbert Space. This will allow for the inclusion of advanced mathematical models to improve integration, and will facilitate the management of complex adaptive change over time.