基于进化多智能体系统的弹性策略评价

Kazuhiro Minami, Tomoya Tanjo, H. Maruyama
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引用次数: 3

摘要

许多社会基础设施以意想不到的方式失败,因此使系统具有弹性,使其能够以动态和灵活的方式从各种损害中恢复是很重要的。这一领域的许多研究人员似乎一致认为,冗余、多样性和适应性是弹性系统能够吸收冲击并从破坏中优雅恢复的三个关键特征。然而,目前还不清楚我们如何定量地结合这些策略来构建给定领域的弹性系统。在本文中,我们提出了一个进化的多智能体系统来评估这些策略的有效性,并展示了从我们的初步结果中得出的一些见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating resilience strategies based on an evolutionary multi-agent system
Many social infrastructures fail in an unexpected way, and thus it is important to make a system resilient such that it can recover from various damages in a dynamic and flexible way. There seems to be a consensus among many researchers in this field that redundancy, diversity, and adaptability are the three key characteristics of resilient systems that can absorb shocks and recover from damages gracefully. However, it is still not clear how we quantitatively combine those strategies to build a resilient system of a given domain. In this paper, we present an evolutionary multi-agent system for evaluating the effectiveness of those strategies and show several insights drawn from our preliminary results.
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