正义之声:在众多诉求中寻找共识

David Burth Kurka, J. Pitt
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引用次数: 2

摘要

英国法律中有一句著名的格言可以概括为:“正义不仅必须得到伸张,而且必须在人们的眼中得到伸张。”在本文中,我们考虑了这一声明对分布式分配正义政策的影响,该政策旨在在开放的多智能体系统中提供“公平”的资源分配,特别是在一个指定的智能体负责计算和声明资源分配过程的结果的情况下。拟议的解决方案使用了一个基于信任、社会影响和意见形成的信息传播框架,允许多个地方进程聚集并汇聚在一个总体反馈措施上,以衡量该系统在提供公平结果方面的有效性。我们考虑了一个代理服从不同资源分配策略的场景,并展示了系统如何能够处理不同和不同的帐户,并就其一般公平性达成共识。实验表明,我们的策略能够区分公平和不公平的分配,通过防止虚假印象的传播对恶意代理具有鲁棒性,并且可以在不同的拓扑结构中成功运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Voices of Justice: Finding Consensus in the Multitude of Claims
A well-known aphorism in English law can be summarised as: "not only must justice be done, it must also be seen to be done". In this paper, we consider the implications of this statement for a policy of distributed distributive justice intended to deliver 'fair' resource allocation in open multi-agent systems, in particular, where one designated agent is responsible for computing and declaring the outcome of the resource allocation process. The proposed solution uses an information dissemination framework that is based on trust, social influence and opinion formation, allowing multiple local processes to aggregate and converge on an overall feedback measure for the effectiveness of the system in delivering fair outcomes. We consider a scenario where agents are subject to different resource allocation policies, and show how the system is able to deal with diverse and divergent accounts and reach consensus on its general fairness. Experiments show that our strategy is able to distinguish between fair and unfair allocations, is robust to malicious agents by preventing propagation of false impressions, and can operate successfully in different topologies.
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