The objective of this research is to explore the mechanism for deception in dynamic games where the signaling from the deceiving player comes directly through its motion.  Unlike existing works that measure deceptiveness through the opponent’s ability to make an accurate inference, we focus on the efficacy of deception through its contribution to the underlying mission objective. This will be done by considering explicit models of adversarial actions. Furthermore, we will study security strategies for the deceiving player so that it does not rely on the knowledge of the deceived player’s inference policy.

Student: Vi Rostobaya, James Berneburg

As the large-scale deployment of multiple autonomous agents becomes more practical, maintaining security against adversarial autonomous swarms becomes important in both civilian and military defense applications. Driven by this motivation, we study pursuit-evasion games (PEGs), where we developed a decomposition method that reduces a complex problem into smaller tractable pieces.