Hierarchical Modeling for Strategy-Based Multi-agent Multi-team Systems

Modeling complex environments is a challenging problem that is compounded when there are multiple agents acting together as a team, and the team needs to maintain its own goals while allowing the agents to have some level of autonomy. We propose a modeling framework for strategy-based multi-agent multi-team simulation environments. For these types of environments it is necessary to have a modeling infrastructure that allows for high-level, high-complexity, hierarchical interactions where team goals are prevalent but individual needs are balanced. Such modeling is proposed in this paper - modeling that will avoid large, monolithic models while maintaining complexity of expression balanced with simplicity of operation.