避免公共资源和非附加效用下的平均主义社会福利中的战略行为

Jonathan Carrero, Ismael Rodríguez, F. Rubio
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引用次数: 0

摘要

在多智能体资源分配系统中,资源的具体分配取决于不同智能体声明的效用函数,这是合理的。然而,这很容易导致代理商对撒谎感兴趣的战略行为,因为这种谎言可以给他们带来更有利可图的交易。本文分析了平均主义社会福利的情况,其目标是使获得最小效用的代理人的效用最大化。在这种情况下,代理人可以通过低估他们的偏好来获得优势。因此,我们将看到即使在公共产品和非附加效用存在的情况下,如何阻止这种谎言。同样,我们将使用遗传算法,通过实验结果来证明我们的建议对谎言的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Avoiding strategic behaviors in the egalitarian social welfare under public resources and non-additive utilities
In multi-agent resource allocation systems, it is reasonable that the specific allocation of resources depends on the utility functions declared by the different agents. However, this can easily lead to strategic behaviors in which the agents involved are interested in lying, since such lies can bring them more profitable deals. In this paper we analyze the case of egalitarian social welfare, where the objective is to maximize the utility of the agent who receives the least utility. In this context, agents can obtain advantages by undervaluing their preferences. Thus, we will see how to discourage such lies even in the presence of public goods and non-additive utilities. Likewise, we will use genetic algorithms to show, through experimental results, the robustness of our proposal against lies.
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