Historically, sensor exploitation systems have been designed in isolation to support a specific range of operating conditions and predetermined sensor payload. As adversary countermeasures and capabilities evolve, this monolithic single sensor platform for a specific job is no longer tenable. Hence, future missions will utilize dynamic configurations of sensors – each with unique capabilities and associated cost. The DoD/IC community needs to develop the fundamental science required to address the additional complexity of re-configurable, re-taskable sensors to best utilize the available resources to enhance mission success. Some of the key developments necessary to support the new sensing paradigm are performance modeling, sensor fusion (decision/feature/handoff), sensor simulation, machine learning, and war gaming via system of system simulations. The performance modeling team leverages deep understanding of sensor phenomenology to train and characterize machine learner and statistical pattern recognition algorithms to provide tools to enable analysts, decision makers and warfighters to more effectively employ autonomy in realizing their mission goals.