基于Galileo的多智能体系统动态事件/故障树分析

J. Dehlinger, J. Dugan
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引用次数: 9

摘要

面向代理的软件工程(ase)通过采用对基本基础设施有利的自治、适应性和健壮性机制,具有革新关键软件系统的潜力。然而,关键软件的必要条件是需要可靠性技术,以提供多代理系统(MAS)将按预期工作的高度保证。在本文中,我们研究了动态事件/故障树(DEFT)如何作为一种机制来分析和推理智能体的行为和故障。具体而言,我们:(1)将DEFT应用于MAS,以识别和分析必要的安全责任;(2)展示如何使用伽利略(用于DEFT概率风险评估的工具)帮助开发更健壮的MAS;(3)确定必要的针对aose的DEFT增强,以更好地支持MAS的可靠性分析。我们通过NASA提出的基于代理的卫星群的应用来说明这项工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Event/Fault Tree Analysis of Multi-agent Systems Using Galileo
Agent-oriented software engineering (AOSE) has the potential to revolutionize critical software systems by employing autonomy, adaptability, and robustness mechanisms advantageous to essential infrastructure. Yet, requisite with critical software is the need for dependability techniques to provide high assurance that the multi-agent system (MAS) will function as intended. In this paper we investigate how dynamic event/fault trees (DEFT) can be utilized for AOSE as a mechanism to analyze and reason about agent behavior and failures. Specifically, we: (1) adapt DEFT for MAS to identify and analyze necessary safety responsibilities; (2) show how the use of Galileo, the tool for DEFT probabilistic risk assessment, assists in developing a more robust MAS; and, (3) identify necessary AOSE-specific enhancements for DEFT needed to better support the dependability analysis of MAS. We illustrate this work through an application to a proposed NASA agent-based satellite swarm.
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