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A Multi-Level Multi-Agent Simulation Framework in Animal Epidemiology

Picault, Sébastien ; Huang, Yu-Lin ; Sicard, Vianney ; Beaudeau, François ; Ezanno, Pauline

Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection, 2017-06-03, Vol.10349, p.209-221

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  • Title:
    A Multi-Level Multi-Agent Simulation Framework in Animal Epidemiology
  • Author: Picault, Sébastien ; Huang, Yu-Lin ; Sicard, Vianney ; Beaudeau, François ; Ezanno, Pauline
  • Subjects: Epidemiological modelling ; Multi-level agent-based simulation ; Knowledge and software engineering ; Modeling and Simulation ; Multiagent Systems ; Artificial Intelligence ; Computer Science
  • Is Part Of: Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection, 2017-06-03, Vol.10349, p.209-221
  • Description: In order to recommend better control measures in public or animal health, epidemiologists incorporate ever-finer details in their models, from individual diversity to public policies, which often involve several observation scales. Due to the variety of modelling paradigms, it becomes more and more difficult to compare hypotheses and outcomes, all the more that the increased complexity of simulation programs is not yet counterbalanced by design principles nor by software engineering methods. We propose in this paper to use the multi-level agent-based paradigm to integrate existing methods within a common interface, provide a separation between concerns and reduce the part of code devoted to model designers. We illustrate our approach with an application to the Q fever disease in cattle.
  • Publisher: Cham: Springer International Publishing
  • Language: English
  • Identifier: ISSN: 0302-9743
    ISBN: 3319599291
    ISBN: 9783319599298
    EISSN: 1611-3349
    EISBN: 3319599305
    EISBN: 9783319599304
    DOI: 10.1007/978-3-319-59930-4_17
  • Source: Hyper Article en Ligne (HAL) (Open Access)

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