Abstract
As systems involving multiple agents are increasingly deployed, there is a growing need to diagnose failures in such systems. Model-Based Diagnosis (MBD) is a well known AI technique to diagnose faults in systems. In this approach, a model of the diagnosed system is given, and the real system is observed. A failure is announced when the real system's output contradicts the model's expected output. The model then is used to deduce the defective components that explain the unexpected observation. MBD has been increasingly being deployed in distributed and multi-agent systems. In this survey, we summarize twenty years of research in the field of model-based diagnosis algorithms for MAS diagnosis. We depict three attributes that should be considered when examining MAS diagnosis: (1) The objective of the diagnosis. Either diagnosing faults in the MAS plans or diagnosing coordination faults. (2) Centralized vs. distributed. The diagnosis method could be applied either by a centralized agent or by the agents in a distributed manner. (3) Temporal vs. non-temporal. Temporal diagnosis is used to diagnose the MAS's temporal behaviors, whereas non-temporal diagnosis is used to diagnose the conduct based on a single observation. We survey diverse studies in MBD of MAS based on these attributes, and provide novel research challenges in this field for the AI community.
Original language | English |
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Title of host publication | IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations |
Publisher | Association for the Advancement of Artificial Intelligence |
Pages | 12334-12341 |
Number of pages | 8 |
ISBN (Electronic) | 1577358767, 9781577358763 |
DOIs | |
State | Published - 30 Jun 2022 |
Externally published | Yes |
Event | 36th AAAI Conference on Artificial Intelligence, AAAI 2022 - Virtual, Online Duration: 22 Feb 2022 → 1 Mar 2022 |
Publication series
Name | Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 |
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Volume | 36 |
Conference
Conference | 36th AAAI Conference on Artificial Intelligence, AAAI 2022 |
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City | Virtual, Online |
Period | 22/02/22 → 1/03/22 |
Bibliographical note
Publisher Copyright:Copyright © 2022, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Funding
This research was funded by ISF grant No. 1716/17, and by the ministry of science grant No. 3-6078.
Funders | Funder number |
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Ministry of Science, ICT and Future Planning | 3-6078 |
Israel Science Foundation | 1716/17 |