In this study, we propose a generalization of the classic model of liquid democracy that allows fractional delegation of voting weight, while simultaneously allowing for the existence of equilibrium states. Our approach empowers agents to partition and delegate their votes to multiple representatives, all while retaining a fraction of the voting power for themselves. We introduce a penalty mechanism for the length of delegation chains. We discuss the desirable properties of a reasonable generalization of the classic model, and prove that smaller penalty factors bring the model closer to satisfying these properties. In the subsequent section, we explore the presence of equilibrium states in a general delegation game utilizing the proposed voting measure. In contrast to the classical model, we demonstrate that this game exhibits pure strategy Nash equilibria, contingent upon the imposition of a penalty on the length of delegation chains.
翻译:本研究提出经典液态民主模型的推广形式,允许投票权重的分数化委托,同时保证均衡状态的存在。我们的方法使智能体能够将选票分割并委托给多个代表,同时保留部分投票权供自身使用。我们引入了针对委托链长度的惩罚机制。我们讨论了经典模型合理推广应具备的理想性质,并证明较小的惩罚因子能使模型更接近满足这些性质。在后续章节中,我们利用所提出的投票度量方法,探讨了广义委托博弈中均衡状态的存在性。与经典模型不同,我们证明该博弈存在纯策略纳什均衡,其存在条件是对委托链长度施加惩罚。