SOURCE-LINKED INTELLIGENCE
Game-Theoretic Drone Swarm Defense: A Case Study in Applied Differential Game Theory
This technical report is a study of the use of differential game (DG) theory to solve the target-assignment and midcourse guidance problems of drone swarms tasked with intercepting opposing swarms in defense of high-value assets. The game-theoretic tactics---which treat the intruder swarm as a rational agent and seek a Nash equilibrium between defenders and intruders---are compared against baseline tactics that model the defense problem as a unilateral optimization of the defenders' maneuvers. Monte Carlo simulation and Bayesian analysis show that the game-theoretic approach has a higher proba
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T19:04:35.000Z
First collected: 2026-09-21T04:31:57.454Z. This is not the publication date.