Detection and diagnosis of deviations in distributed systems of autonomous agents

IF 0.4 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS
Vivek Nigam, Minyoung Kim, Ian Mason, C. Talcott
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引用次数: 0

Abstract

Abstract Given the complexity of cyber-physical systems (CPS), such as swarms of drones, often deviations, from a planned mission or protocol, occur which may in some cases lead to harm and losses. To increase the robustness of such systems, it is necessary to detect when deviations happen and diagnose the cause(s) for a deviation. We build on our previous work on soft agents, a formal framework based on using rewriting logic for specifying and reasoning about distributed CPS, to develop methods for diagnosis of CPS at design time. We accomplish this by (1) extending the soft agents framework with Fault Models; (2) proposing a protocol specification language and the definition of protocol deviations; and (3) development of workflows/algorithms for detection and diagnosis of protocol deviations. Our approach is partially inspired by existing work using counterfactual reasoning for fault ascription. We demonstrate our machinery with a collection of experiments.
分布式自治Agent系统中偏差的检测与诊断
摘要考虑到网络物理系统(CPS)的复杂性,例如成群的无人机,经常会偏离计划的任务或协议,在某些情况下可能会导致伤害和损失。为了提高此类系统的稳健性,有必要检测偏差何时发生,并诊断偏差的原因。我们在之前关于软代理的工作的基础上,开发了在设计时诊断CPS的方法。软代理是一个基于使用重写逻辑来指定和推理分布式CPS的正式框架。我们通过(1)用故障模型扩展软代理框架来实现这一点;(2) 提出了协议规范语言和协议偏差的定义;以及(3)开发用于检测和诊断协议偏差的工作流程/算法。我们的方法在一定程度上受到了现有工作的启发,这些工作使用反事实推理来进行故障归属。我们用一系列实验来展示我们的机器。
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来源期刊
Mathematical Structures in Computer Science
Mathematical Structures in Computer Science 工程技术-计算机:理论方法
CiteScore
1.50
自引率
0.00%
发文量
30
审稿时长
12 months
期刊介绍: Mathematical Structures in Computer Science is a journal of theoretical computer science which focuses on the application of ideas from the structural side of mathematics and mathematical logic to computer science. The journal aims to bridge the gap between theoretical contributions and software design, publishing original papers of a high standard and broad surveys with original perspectives in all areas of computing, provided that ideas or results from logic, algebra, geometry, category theory or other areas of logic and mathematics form a basis for the work. The journal welcomes applications to computing based on the use of specific mathematical structures (e.g. topological and order-theoretic structures) as well as on proof-theoretic notions or results.
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