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Replication in Fault-Tolerant Distributed CSP

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Advances in Artificial Intelligence: From Theory to Practice (IEA/AIE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10350))

Abstract

Real life problems can be solved by a distributed way, in particular by multi-agent approaches. However, the fault tolerance is not guarantee when an agent, for example, does not have any activity (e.g. it dies). This problem is very crucial, when the interactional model is based on a Distributed CSP. Many algorithms have been proposed in the literature, but they give wrong results if an agent dies. This paper presents an approach which is based on a replication principle: each local CSP is replicated in another agent.

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References

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Author information

Authors and Affiliations

  1. LAMIH UMR CNRS 8201, University of Valenciennes, Valenciennes, France

    Fadoua Chakchouk, Julien Vion, Sylvain Piechowiak & René Mandiau

  2. ENSI, University of Manouba, Manouba, Tunisia

    Fadoua Chakchouk, Makram Soui & Khaled Ghedira

Authors
  1. Fadoua Chakchouk
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  2. Julien Vion
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  3. Sylvain Piechowiak
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  4. René Mandiau
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  5. Makram Soui
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  6. Khaled Ghedira
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Corresponding author

Correspondence to Fadoua Chakchouk .

Editor information

Editors and Affiliations

  1. Artois University, Lens, France

    Salem Benferhat

  2. Artois University, Lens, France

    Karim Tabia

  3. Texas State University, San Marcos, Texas, USA

    Moonis Ali

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© 2017 Springer International Publishing AG

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Chakchouk, F., Vion, J., Piechowiak, S., Mandiau, R., Soui, M., Ghedira, K. (2017). Replication in Fault-Tolerant Distributed CSP. In: Benferhat, S., Tabia, K., Ali, M. (eds) Advances in Artificial Intelligence: From Theory to Practice. IEA/AIE 2017. Lecture Notes in Computer Science(), vol 10350. Springer, Cham. https://doi.org/10.1007/978-3-319-60042-0_16

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  • DOI: https://doi.org/10.1007/978-3-319-60042-0_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60041-3

  • Online ISBN: 978-3-319-60042-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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