A Sentinel Based Exception Diagnosis in Market Based Multi-Agent Systems

  • Nazaraf Shah
  • Kuo-Ming Chao
  • Nick Godwin
  • Anne James
  • Chun-Lung Huang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4055)


Market based Multi-agent systems (MAS) operate in an open and dynamic environment where agents enter and leave the system unpredictably. The dynamism and unpredictable nature of an open environment gives rise to unpredictable exceptions. It becomes essential to have some exception diagnosis mechanisms in these systems to effectively manage their exception diagnose processes. The defining characteristic of mechanisms is their ability to provide a uniform exception diagnosis capability to independently developed agents. In this paper we present a brief discussion of our proposed sentinel based approach to exception diagnosis in an open MAS and discuss the accuracy and performance overhead of our approach when applying in a market based MAS.


MultiAgent System Mobile Agent Fault Tree Exception Handling Action Failure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Nazaraf Shah
    • 1
  • Kuo-Ming Chao
    • 1
  • Nick Godwin
    • 1
  • Anne James
    • 1
  • Chun-Lung Huang
    • 2
  1. 1.DSM Research Group, Department of Computer and Network SystemsCoventry UniversityCoventryUK
  2. 2.Institute of Information ManagementNational Chiao Tung UniversityTaiwan

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