Cluster Analysis
SDi has designed a system of mathematical models that use the idea of community structure in complex networks for the foundation for COVID-19 spread prediction and defines the network based…
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Description: SDi is developing a sophisticated, autonomous artificial intelligence model that is designed to act as a modern-day battlefield commander. STRAT_AGENT utilizes a hierarchy of intelligent agents in combination with a rule-driven expert system (military doctrine) that acts autonomously, directing its activity toward achieving objectives in the STRATAGEM wargame environment. The “intelligence” that STRAT_AGENT utilizes is both distilled from standard military practice and learned through a ’new rule’ creation process driven by cognitive agents.
Primary Objective: STRAT_AGENT is designed to defeat a competing BLUFOR AI or Human in the STRATAGEM wargame.
Innovation: STRAT_AGENT is designed to leverage advances in the use of game AI systems in order to develop an AI system capable of defeating a human expert. Additionally, STRAT_AGENT has the ability to not only win, but also to provide an interpretation of how it won and what logic it used to do so.
Strike Collective
SDi has designed a framework to construct Dynamic Environment Modeling for targeting and overlaid it with a cognitive structure that allows an enhanced methodology for the current Decide, Detect, Deliver,…
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Social Synthesis
SDi has designed an architecture, in accordance with the parameters of N202_126, which utilizes synthetic text generation to simplify the process of scenario inject creation by providing the exercise controller…
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