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arXiv Paper Examines How Intrinsic Motivation Drives Emergent Group Behavior in AI Agents
A revised arXiv preprint studies intrinsic motivations, which are behavioral incentives that arise from an agent's interaction with its environment rather than being explicitly programmed. The authors investigate how such motivations lead to the emergence of complex group behaviors and greater empowerment among multiple agents. The work falls within multi-agent research on emergent collective dynamics.