MASFENON: Multi-Agent Adaptive Simulation Framework for Evolution in Networks of Networks.

2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(2023)

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摘要
In this paper, we present MASFENON, a novel multi-agent network interactions simulation algorithm that allows us to consider the dynamics within and between each agent and its associated network. MASFENON can be applied in various domains. Here, we will focus on an application related to epidemics network modeling. By combining propagation, dissipation, and conservation principles with some principles inspired by chaos theory, MASFENON offers a novel approach to model infectious disease spread across communities.
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关键词
Multi-agent,networks of networks,customizable,epidemics Network,disease spread dynamics,adaptive simulation,temporal evolution
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