提高多智能体系统弹性的生物学启发策略的验证

Bryan C. Watson;Isabella V. Hernandez;Marc J. Weissburg;Bert Bras
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引用次数: 0

摘要

目前迫切需要提高多智能体系统的弹性。然而,这些努力受到三个缺口的阻碍:目前的方法是针对具体案例研究的,可能依赖于基础设施投资,而且往往没有共享。针对这些需求,我们提出了14种受生物学启发的个体代理设计和通信协议策略。这些策略是一般化的,不依赖于基础设施投资。将该策略应用于电机制造供应链的混合系统动态和基于智能体的模型。为了支持未来的应用,明确描述了应用每种策略的方法。战术运用成功地使适应力平均提高了6.6%。通过报告上下文中立的解决方案方法来增加弹性,关注代理干预,并明确报告供应链案例研究的实施,本文朝着我们使用生物学启发设计来增加多代理系统弹性的目标迈出了重要的一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of Biologically Inspired Tactics to Increase Multi-Agent System Resilience
There is an urgent need to increase multi-agent systems’ resilience. Efforts, however, are hampered by three gaps: current approaches are case study specific, may depend on infrastructure investment, and are often unshared. In response to these needs, we propose 14 biologically inspired Tactics for individual agent design and communication protocols. The Tactics are generalizable and do not depend upon infrastructure investments. The Tactics are applied to a hybrid system dynamic and agent-based model of an electric motor manufacturing supply chain case study. The approach for applying each of the Tactics is clearly described to support future application. Tactic use successfully increased resilience by an average of 6.6%. By reporting a context-neutral solution approach to increase resilience, focusing on agent intervention, and clearly reporting the implementation to a supply chain case study, this article takes an important step toward our goal of using biologically inspired design to increase multi-agent system resilience.
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