Abstract
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 prepose 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.
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Michael Franklin, D. (2020). Hierarchical Modeling for Strategy-Based Multi-agent Multi-team Systems. In: Arai, K., Bhatia, R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 70. Springer, Cham. https://doi.org/10.1007/978-3-030-12385-7_25
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DOI: https://doi.org/10.1007/978-3-030-12385-7_25
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