The power of collaborative systems
The power of collaborative systems
A current major problem in net-centric command and control operations is that decision makers are overwhelmed with unnecessary information, and that this information overload has to be managed in order for decision making performance to improve. Of particular interest is real-time, synchronous collaboration to meet the time constraints of rapidly-formed distributed command groups brought together for hours to days. Our innovative approach to solving these problems has been to design and demonstrate a Net Centric Adaptive Information Management System (NAIMS) that will both facilitate shared awareness and foster better decision making among distributed teams. NAIMS is being developed as a DARPA-funded SBIR Phase II sister project to the Tactical Group Decision Analysis System (TGDAS) project.
The NAIMS system concept is based on capturing human cognition in the form of decision models -- with subsequent mappings of incoming information to decision model variables. The innovative NAIMS approach to message prioritization and delivery is based on algorithmic prioritization of the message universe with regard to message relevance to the course of action decision model. The system is designed to compute priorities for messages based on selected mission profile attributes and decision model state, while also constantly adapting to refine the criteria for which the priority assessments are made. A unique feature of our approach is that initially clustering occurs in unsupervised manner, and is iteratively refined as decisions are made, using the choice of messages as feedback
NAIMS will provide a mechanism for prioritizing information based on relevancy within a mission-specific decision making context. The Further, the utility of the Phase I effort is expanded by combining NAIMS with the Tactical Group Decision Analysis System (TGDAS) which we are developing under a DARPA-sponsored SBIR Phase II contract and which is focused on USSOCOM decision teams. This R&D is a major step in transforming DOD investments in net centric collaborative command and control from information and knowledge sharing systems to collaborative cognitive augmentation systems which can facilitate the active integration of expertise judgment. The synergy of distributed experts working together under a decision analytic structure will make it possible to leverage the information rich environment of future command and control system toward higher quality decisions.
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