AI RESEARCH

Adaptive Punishment for Cooperation in Mixed-Motive Games

arXiv CS.AI

ArXi:2605.24516v1 Announce Type: cross Mixed-motive scenarios are ubiquitous in real-world multi-agent interactions, where self-interested agents often defect for immediate rewards, overlooking the potential of altruistic cooperation to improve long-term gains and collective welfare. Peer punishment can deter defection, but as costly second-order altruism, its persistent imposition may undermine the punisher's interests. Existing approaches often struggle to effectively implement punishment to promote cooperation.