Recent advances in multi-agent systems (MAS) have shown that incorporating peer incentivization (PI) mechanisms vastly improves cooperation. Especially in social dilemmas, communication between the agents helps to overcome sub-optimal Nash equilibria. However, incentivization tokens need to be carefully selected. Furthermore, real-world applications might yield increased privacy requirements and limited exchange. Therefore, we extend the PI protocol for mutual acknowledgment token exchange (MATE) and provide additional analysis on the impact of the chosen tokens. Building upon those insights, we propose mutually endorsed distributed incentive acknowledgment token exchange (MEDIATE), an extended PI architecture employing automatic token derivation via decentralized consensus. Empirical results show the stable agreement on appropriate tokens yielding superior performance compared to static tokens and state-of-the-art approaches in different social dilemma environments with various reward distributions.

中文翻译：

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MEDIATE：相互认可的分布式激励确认代币交换

多智能体系统（MAS）的最新进展表明，纳入同伴激励（PI）机制可以极大地改善合​​作。特别是在社会困境中，代理人之间的沟通有助于克服次优纳什均衡。然而，激励代币需要谨慎选择。此外，现实世界的应用程序可能会产生更高的隐私要求和有限的交换。因此，我们扩展了用于相互确认令牌交换（MATE）的 PI​​ 协议，并对所选令牌的影响提供了额外的分析。基于这些见解，我们提出了相互认可的分布式激励确认代币交换（MEDIATE），这是一种扩展的 PI 架构，通过去中心化共识采用自动代币派生。实证结果表明，在具有不同奖励分配的不同社会困境环境中，与静态代币和最先进的方法相比，适当代币的稳定一致产生了优越的性能。