A Reorganization Strategy to Build Fault-Tolerant Multi-Agent Systems

  • Authors:
  • Sehl Mellouli

  • Affiliations:
  • Département of Organizational Information Systems, Laval University, G1K 7P4, Quebec, Canada

  • Venue:
  • CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
  • Year:
  • 2007

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Abstract

MAS failures are not only due to programming exceptions; they may originate from other sources such as the environment of the MAS which may influence the MAS' behavior. Furthermore, MAS fault-tolerant techniques based on agent replication cannot always be applied to a MAS. For example, it is not always possible to replicate a costly robot in a robotic MAS application. In this paper, we propose a reorganization strategy, based on bothtask and agent replication, to enable a MAS to detect and recover from its failures. Our strategy is different from those presented in the literature, which are based on agent replication, since it does not deal with programming faults but with failures originating from the MAS environment, and it is based on task and agent replication and not only on agent replication. Our strategy is scalable and is robust in detecting agents failure.