开放多智能体系统中的自组织错误检测与校正

Mark Zolotas, J. Pitt
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引用次数: 1

摘要

开放系统的一个关键特征是对不兼容行为的预期,这可能是由于意外、需要或恶意造成的。因此,可持续运行的系统需求是根据类型和严重程度通过错误检测和纠正来处理不合规。本文提出了一个“报应性正义”的自组织系统的正式模型,它包含了监督、执行和冲突解决。多智能体模拟用于评估该系统的性能,其中智能体玩线性公共利益博弈的变体,并使用行为观察框架来调整其决策。实验结果表明,尽管报复正义的自我组织本身不能保证开放系统的可持续性,而且似乎没有“理想”的系统,但它可以提高集体的效用,减少不遵守的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-Organising Error Detection and Correction in Open Multi-agent Systems
A key feature of open systems is the expectation of non-compliant behaviour, which may be due to accident, necessity, or malice. Therefore, a system requirement for sustainable operation is to deal with non-compliance through error detection and correction according to type and severity. This paper presents a formal model of a self-organising system of `retributive justice' that encapsulates monitoring, enforcement, and conflict-resolution. Multi-agent simulation is used to evaluate the performance of this system, whereby agents play a variant of the linear public good game and use a behaviour observation framework to adapt their decision-making. Experimental results show that although self-organisation of retributive justice alone cannot guarantee sustainability in an open system and there seems to be no `ideal' system, it can improve the utility of the collective and diminish the likelihood of non-compliance.
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