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Procedia Computer Science
Article . 2013 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Procedia Computer Science
Article . 2013
License: CC BY NC ND
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
DBLP
Conference object . 2022
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Modeling and Simulation Agent-based of Natural Disaster Complex Systems

Authors: Karam Mustapha; Hamid Mcheick; Sehl Mellouli;

Modeling and Simulation Agent-based of Natural Disaster Complex Systems

Abstract

AbstractA number of modeling and simulation tools have been developed in the domain of Natural Disasters. In these situations, several research teams may make an intervention and that have to coordinate their activities in order to save the maximum number of lives. To this end, they have to define an organizational structure and adopt management policies to improve their performance. The organizational structure and the policies are important elements that have to be taken into account to simulate a real emergency activity. To facilitate the design of these simulations, an agent-based methodological framework for complex system (Supply Chain, Natural Disaster) is proposed. The main contribution of the framework is that it will reflect the organizational structure and policies within the simulation, and which involves the integration truly dynamic dimension of this organization. We propose also a specification of the translation process to ensure the transition between various models that are proposed in the methodological framework.

Keywords

Natural Disaster, Agent Based Simulation, Modeling, Simulation., Multi-Agent Systems, Organization

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
gold