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A Multi-agent Organizational Model for a Snow Storm Crisis Management

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Information Systems for Crisis Response and Management in Mediterranean Countries (ISCRAM-med 2014)

Abstract

This paper introduces an organizational multi-agent model for crisis management. The considered crisis is a heavy snow storm, occurred at a north Tunisian delegation. The studied crisis caused severe infrastructure damages and endangered people’s lives. Crisis systems are generally made of several heterogeneous and autonomousorganizations. Each organization is given tasks and their tasks are strongly correlated. Organizations have to interact frequently and cooperate at a high level to deal with the crisis. In this context, thinking the crisis management at a macro level with an organizational view as well as structuring organizations’ communications and their functioning is a crucial requirement. Following this view, the main purpose of our work is to propose a multi-agent system organization that manages resources efficiently, structure the communication among all the actors involved in the crisis management and orchestrate their work. More precisely, we provide an environment model that identifies all concepts and entities involved in the snow storm crisis. We specify, using GAIA methodology, a multi-agent organizational model that defines the roles involved in the system and the interaction protocols to realize organizational objectives. Finally, a simulator has been implemented to demonstrate the feasibility of our approach.

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Thabet, I., Chaawa, M., Ben Said, L. (2014). A Multi-agent Organizational Model for a Snow Storm Crisis Management. In: Hanachi, C., Bénaben, F., Charoy, F. (eds) Information Systems for Crisis Response and Management in Mediterranean Countries. ISCRAM-med 2014. Lecture Notes in Business Information Processing, vol 196. Springer, Cham. https://doi.org/10.1007/978-3-319-11818-5_13

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  • DOI: https://doi.org/10.1007/978-3-319-11818-5_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11817-8

  • Online ISBN: 978-3-319-11818-5

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