Analysis of the Synergy between Modularity and Autonomy in an Artificial Intelligence Based Fleet Competition
This work addresses fleet optimization for military or autonomous systems, but it is incremental as it applies existing game theory and simulation methods to a specific domain.
The paper tackles the problem of evaluating vehicle modularity benefits in autonomous fleet competitions using a game-theoretical attacker-defender model, resulting in the identification of Nash equilibria and analysis of modularity advantages across diverse operational scenarios.
A novel approach is provided for evaluating the benefits and burdens from vehicle modularity in fleets/units through the analysis of a game theoretical model of the competition between autonomous vehicle fleets in an attacker-defender game. We present an approach to obtain the heuristic operational strategies through fitting a decision tree on high-fidelity simulation results of an intelligent agent-based model. A multi-stage game theoretical model is also created for decision making considering military resources and impacts of past decisions. Nash equilibria of the operational strategy are revealed, and their characteristics are explored. The benefits of fleet modularity are also analyzed by comparing the results of the decision making process under diverse operational situations.