Game Theoretic Multi-agent Modeling and Analysis Framework for Distributed Collaborative Systems with Aid of Data Mining and Data Fusion

In the Phase 1 study, we have successfully developed and demonstrated innovative algorithms and software tools that (1) built upon space-based target tracking software, (2) updated with game theoretic framework to automate decision aids for collaborative system understanding to enhance system effectiveness and robustness. The proposed framework has several modules for realistic space surveillance operations: Data mining, data fusion, meta-task decomposition, knowledge base extraction and population, and GMAT based simulation and visualization. With this innovative structure as well as the incorporation of game theoretic models for target maneuver detection and sensor management, the space operations center can track multiple targets and adapt to the dynamic and uncertain environment in an optimal way. In the Phase II research, we will: 1) enhance our game theoretic approach proposed in Phase I, carry out expanded evaluation with more complex scenarios, and develop a performance metrics to automatically evaluate the space situational awareness (SSA) performance of our approach; 2) Improve the function of true plug-and-play so that it can be integrated into the SAFIRE test bed which is service-oriented architecture, as well as (3) advance the game-theoretic target tracking to incorporate threats and operational needs. BENEFITS: Our first category application target will be the Space Situational Awareness Fusion Intelligent Research Environment (SAFIRE) program, Joint Space Operations Center (JSOC), and specifically the JSOC Situation Assessment Reporting System (JSARS). Beyond this first application, the proposed collaborative system modeling and analysis tool for SSA has potential in many military applications. Our industry partner, Lockheed Martin, has teamed with DCM on several Game Theory based developments because of the potential applications they see in major programs where they are the Prime Contractor.  In addition, DCM and Lockheed Martin are building a mentor-protégé program. We will leverage this relationship to identify the end customer, and work with these teams to transition our Phase 2 technology into their program. The DoD contact who knows the details of our work and who knows the above programs is Dr. Erik Blasch from AFRL. Other potential commercial applications include inter-satellite communications, multilayered sensing, disaster management, air traffic control, law enforcement, border and coast patrol, network intrusion detection, and business intelligence.