Multi-Agent Empowerment and Emergence of Complex Behavior in Groups

Abstract:Intrinsic motivations are receiving increasing attention, i.e. behavioral incentives that are not engineered, but emerge from the interaction of an agent with its surroundings. In this work we study the emergence of behaviors driven by one such incentive, empowerment, specifically in the context of more than one agent. We formulate a principled extension of empowerment to the multi-agent setting, and demonstrate its efficient calculation. We observe that this intrinsic motivation gives rise to characteristic modes of group-organization in two qualitatively distinct environments: a pair of agents coupled by a tendon, and a controllable Vicsek flock. This demonstrates the potential of intrinsic motivations such as empowerment to not just drive behavior for only individual agents but also higher levels of behavioral organization at scale.

Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA)

arXiv:2604.21155 [cs.AI]

(or arXiv:2604.21155v2 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2604.21155 Focus to learn more arXiv-issued DOI via DataCite

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