Toward a Society Oriented Approach for Fault Handling in Multi-Agent Systems
Toward a Society Oriented Approach for Fault Handling in Multi-Agent Systems
复制标题
面向社会的多智能体系统故障处理方法
DOI：
10.1109/ccece.2007.351
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
Goh Eck Soong
中科院分区：
文献类型：
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作者：
Maryam Ashoori;M. N. Ahmadabadi;C. Miao;Goh Eck Soong
故障处理/容错是多智能体系统（MAS）中的重要问题，也是一个具有挑战性的问题。大多数现有的分布式容错多智能体系统的不完整和不确定的情况下，从一个强大的解决方案。本文提出了一种面向社会的新方法，有效地处理故障的动态情况下，具有很高的不确定性的可能性。在这种方法中，受到股票市场概念启发而出现的隐式学习大大提高了容错能力。实验结果表明，所提出的方法的有效性相比，中央控制器的情况下，使用纯冗余组件的情况下，并帮助不使用社会价值。
Fault handling/tolerance is important and remains a challenging problem in multi agents systems (MAS). The majority of existed distributed fault tolerant MAS are suffering from a robust solution for incomplete and uncertain situations. This paper proposes a novel society oriented approach for effectively handling the faults in dynamic situations with a high possibility of uncertainty. In this approach, the emerged implicit learning inspired by the concepts of stock market has considerably improved the fault tolerant ability. The experimental results illustrate the effectiveness of the presented approach in comparison to the case of central controller, the case of using purely redundant components, and helping without using a social value.