Privacy-aware Distributed Diagnosis of Multi-Agent Plans
作者：
Highlights：
• Many multi-agent systems are prone to failures.
• When a failure occurs there is a need to diagnose it and identify the faulty agents.
• This problem has been addressed in a centralized manner with no privacy-awareness.
• We propose distributed diagnosis methods that do not share plans for privacy reasons.
• We evaluate the algorithm on synthetic as well as benchmark scenarios.
摘要
•Many multi-agent systems are prone to failures.•When a failure occurs there is a need to diagnose it and identify the faulty agents.•This problem has been addressed in a centralized manner with no privacy-awareness.•We propose distributed diagnosis methods that do not share plans for privacy reasons.•We evaluate the algorithm on synthetic as well as benchmark scenarios.
论文关键词：Model-based diagnosis,Multi-agent systems,Distributed diagnosis
论文评审过程：Received 9 March 2021, Revised 18 November 2021, Accepted 25 November 2021, Available online 21 December 2021, Version of Record 23 December 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116313
