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Modelling Opinion Dynamics at Scale

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Modelling Opinion Dynamics at Scale with Deep MARL

arXiv:2606.07487v1 Announce Type: new Abstract: Modelling opinion dynamics typically relies on hand-crafted local interaction rules to study emergent macroscopic phenomena such as consensus and polarisation. In contrast, multi-agent reinforcement learning (MARL) enables agents to learn such behaviours directly by optimising simple rewards. To explore the potential of MARL for opinion dynamics, we introduce a GPU-accelerated consensus and truth-finding game that scales to populations of up to...

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