  As the reliability of cheap, off-the-shelf autonomous platforms increases, so
does the risk posed by intelligent multi-agent systems to military operations.
In the contemporary context of the Russo-Ukrainian war alone, we have seen
autonomous aerial vehicles and surface vessels deployed both individually and
in multitude to deliver critical effects to both sides. While there is a large
body of literature on tactical level communications and interactions between
agents, the exploration of high-level command and control (C2) structures that
will underpin future autonomous multi-agent military operations is a less
explored area of research. We propose a quantitative game-theoretic framework
to study effective C2 structures in cooperative and competitive multi-agent
swarming scenarios. To test our framework, we construct a virtual environment
where two adversarial swarms compete to achieve outcomes comparable to
real-world scenarios. The framework we present in this paper enables us to
quickly test and interrogate different C2 configurations in multi-agent systems
to explore C2 as a force multiplier when at a force disadvantage.
