Advertisement

On Fault Tolerance in Law-Governed Multi-agent Systems

  • Maíra A. de C. Gatti
  • Gustavo R. de Carvalho
  • Rodrigo B. de Paes
  • Carlos J. P. de Lucena
  • Jean-Pierre Briot
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4408)

Abstract

The dependability of open multi-agent systems is a particular concern, notably because of their main characteristics as decentralization and no single point of control. This paper describes an approach to increase the availability of such systems through a technique of fault tolerance known as agent replication, and to increase their reliability through a mechanism of agent interaction regulation called law enforcement mechanism. Therefore, we combine two frameworks: one for law enforcement, named XMLaw, and another for agent adaptive replication, named DimaX, in which the decision of replicating an agent is based on a dynamic estimation of its criticality. Moreover, we will describe how we can reuse some of the information expressed by laws in order to help at the estimation of agent criticality, thus providing a better integration of the two frameworks. At the end of the paper, we recommend a means to specify criticality monitoring variation through a structured argumentation approach that documents the rationale around the decisions of the law elements derivation.

Keywords

Multi-Agent Systems Open Systems Law-Governed Approach Dependability of Open Systems Fault Tolerance Requirements Criticality Availability Reliability 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    http://agtivity.com/agdef.htm (accessed in October 2005 )
  2. 2.
    Jennings, Nicholas, R.: An Agent-Based Approach for building Complex Software Systems. Communications of the ACM 44(4), 35–41 (2001)CrossRefGoogle Scholar
  3. 3.
    Xu, P., Deters, R.: Using Event-Streams for Fault-Management in MAS. In: IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), pp. 433–436 (2004)Google Scholar
  4. 4.
    Fedoruk, A., Deters, R.: Improving fault-tolerance by replicating agents. In: AAMAS 2002, Bologna, Italy (2002)Google Scholar
  5. 5.
    Fedoruk, A., Deters, R.: Using dynamic proxy agent replicate groups to improve fault-tolerance in multi-agent systems. In: Proc. of the Sec. int. Joint Conf. AAMAS 2003, pp. 990–991. ACM Press, New York (2003)Google Scholar
  6. 6.
    Guessoum, Z., Faci, N., Briot, J.-P.: Adaptive Replication of Large-Scale Multi-Agent Systems - Towards a Fault-Tolerant Multi-Agent Platform. ACM Software Engineering Notes (Proc. of ICSE’05, 4th Int. Workshop on Soft. Eng. for Large-Scale Multi-Agent Systems) 30(4), 1–6 (2005)CrossRefGoogle Scholar
  7. 7.
    Paes, R., Carvalho, G.R., Lucena, C.J.P., Alencar, P.S.C., Almeida, H.O., Silva, V.T.: Specifying Laws in Open Multi-Agent Systems. In: Agents, Norms and Institutions for Regulated Multi-agent Systems (ANIREM), AAMAS (2005)Google Scholar
  8. 8.
    Murata, T., Minsky, N.: On Monitoring and Steering in Large-Scale Multi-Agent Systems. In: Proceedings of ICSE 2003, 2nd Int’l Workshop on Software Engineering for Large-Scale Multi-Agent Systems, SELMAS (2003)Google Scholar
  9. 9.
    Guerraoui, R., Schiper, A.: Software-based replication for fault tolerance. IEEE Computer Journal 30(4), 68–74 (1997)Google Scholar
  10. 10.
    Vázquez-Salceda, J., Dignum, V., Dignum, F.: Organizing Multiagent Systems. Autonomous Agents and Multi-Agent Systems 11, 307–360 (2005)CrossRefGoogle Scholar
  11. 11.
    Lussier, B., et al.: 3rd IARP-IEEE/RAS-EURON Joint Workshop on Technical Challenges for Dependable Robots in Human Environments, Manchester, GB, September 7-9 (2004)Google Scholar
  12. 12.
    Laprie, J.C., Arlat, J., Blanquart, J.P., Costes, A., Crouzert, Y., Deswarte, Y., Fabre, J.C., Guillermain, H., Kaâniche, M., Kanoun, K., Mazet, C., Powel, D., Rabéjac, C., Thévenod, P.: Dependability Handbook (in French), 2nd edition. Cépaduès – Éditions (1996)Google Scholar
  13. 13.
    Avizienis, A., Laprie, J.-C., Randell, B.: Dependability and its threats - A taxonomy. IFIP Congress Topical Sessions, 91–120 (2004)Google Scholar
  14. 14.
    Decker, K., Sycara, K., Williamson, M.: Cloning for intelligent adaptive information agents. In: Rao, A., Singh, M.P., Wooldridge, M.J. (eds.) ATAL 1997. LNCS, vol. 1365, pp. 63–75. Springer, Heidelberg (1998)Google Scholar
  15. 15.
    Hagg, S.A.: sentinel approach to fault handling in multi-agent systems. In: Dickson, L., Zhang, C. (eds.) DAI 1996. LNCS, vol. 1286, pp. 190–195. Springer, Heidelberg (1997)Google Scholar
  16. 16.
    Guessoum, Z., Briot, J.-P., Faci, N.: Towards Fault-Tolerant Massively Multiagent Systems. In: Ishida, T., Gasser, L., Nakashima, H. (eds.) Massively Multi-Agent Systems I. LNCS (LNAI), vol. 3446, pp. 55–69. Springer, Heidelberg (2005)Google Scholar
  17. 17.
    Minsky, N.H., Ungureanu, V.: Law-governed interaction: a coordination and control mechanism for heterogeneous distributed systems. ACM Trans. Softw. Eng. Methodol. 9(3), 273–305 (2000)CrossRefGoogle Scholar
  18. 18.
    Esteva, M.: Electronic institutions: from specification to developement, Ph.D. thesis, Institut d’Investigació en Intelligència Artificial, Catalonia, Spain (October 2003)Google Scholar
  19. 19.
    Paes, R., Alencar, P., Lucena, C.: Governing Agent Interaction in Open Multi-Agent Systems. Monografias de Ciência da Computação nº 30/05, Departamento de Informática, PUC-Rio, Brazil (2005)Google Scholar
  20. 20.
    Weinstock, C.B., Goodenough, J.B., Hudak, J.J.: Dependability Cases. Technical Note, CMU/SEI-2004-TN-016 (2004)Google Scholar
  21. 21.
    FIPA – The Foundation for Inteligent Physical Agents - Contract Net Interaction Protocol Specification, http://www.fipa.org/specs/fipa00029/
  22. 22.
    XML Schema. http://www.w3.org/XML/Schema (last accessed in August 2006)
  23. 23.
    Guessoum, Z., Briot, J.-P., Marin, O., Hamel, A., Sens, P.: Dynamic and Adaptive Replication for Large-Scale Reliable Multi-Agent Systems. In: Garcia, A.F., de Lucena, C.J.P., Zambonelli, F., Omicini, A., Castro, J. (eds.) Software Engineering for Large-Scale Multi-Agent Systems. LNCS, vol. 2603, pp. 182–198. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  24. 24.
    Gatti, M.A.C, Carvalho, G.R., Paes, R., Lucena, C.J.P, Briot, J.-P.: Structuring a Law Case for Law-Governed Open Multi-Agent Systems. Monografias em Ciência da Computação, PUC-Rio, n. MCC27/06, pp. 1–34 (2006)Google Scholar
  25. 25.
    Gatti, M.A.C., Lucena, C.J.P., de Briot, J.-P.: On Fault Tolerance in Law-Governed Multi-Agent Systems. In: 5th International Workshop on Software Engineering for Large-scale Multi-Agent Systems, 2006. 28th International Conference on Software Engineering, Shanghai, pp. 21–27. ACM Press, New York (2006)Google Scholar
  26. 26.
    Omicini, A., Zambonelli, F.: TuCSoN: A Coordination Model for Mobile Information Agents. In: Proc. First Int’l Workshop Innovative Internet Information Systems (June 1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Maíra A. de C. Gatti
    • 1
  • Gustavo R. de Carvalho
    • 1
  • Rodrigo B. de Paes
    • 1
  • Carlos J. P. de Lucena
    • 1
  • Jean-Pierre Briot
    • 2
  1. 1.Software Engineering Laboratory, PUC-Rio, Rio de JaneiroBrazil
  2. 2.Laboratoire d’informatique de Paris 6 (LIP6), Universit´e Pierre et Marie Curie, ParisFrance

Personalised recommendations