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Authors: Jean Le Fur 1 ; Pape A. Mboup 2 and Moussa Sall 3

Affiliations: 1 Institut de Recherche pour le Développement (IRD), France ; 2 Univ. C. A. Diop, Senegal ; 3 Univ. G. Berger, Senegal

ISBN: 978-989-758-265-3

Keyword(s): Multidisciplinary Knowledge, Heuristic, Object-oriented Modelling, Case Study, Agent-based Model, Simulation Model, Robustness, Rodents.

Related Ontology Subjects/Areas/Topics: Agent Based Modeling and Simulation ; Case Studies ; Complex Systems Modeling and Simulation ; Domain-Specific Tools ; Dynamical Systems Models and Methods ; Formal Methods ; Health Engineering and Technology Applications ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Sensor Networks ; Simulation and Modeling ; Simulation Tools and Platforms ; Software and Architectures

Abstract: Knowledge about rodents has been obtained at multiple observation scales and covers many functional levels, from DNA to ecosystems. We have developed an object/agent-oriented simulation model to represent these elements and phenomena in an integrated manner. Given the diversity of domains, items, processes and scales to be considered, we used an incremental approach to model development, with contrasting case studies successively represented and connected within the same model. Each study enriches the model and benefits from previous developments. The results emerging from this compilation are reflected into a shared class tree composed of three broad domains of variability: (i) concrete agents, (ii) specific genomes that instantiate the characteristics of each type of agent and (iii) agent containers that can be described on several scales. The classification that appears is characterized by the triviality of the categories obtained. It resembles natural partitioning, which lends it certain robustness, facilitating its extension. The essentially transitory nature of the construction is discussed, together with its dependence on the formalisms used. The current model, built on a combination of eight case studies, appears to be sufficiently robust to address new aspects and to serve as a basis for the further construction of an integrated view of the complex dynamics associated here with rodents. (More)

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Paper citation in several formats:
Le Fur J., A. Mboup P. and Sall M. (2017). A Simulation Model for Integrating Multidisciplinary Knowledge in Natural Sciences - Heuristic and Application to Wild Rodent Studies.In Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-265-3, pages 340-347. DOI: 10.5220/0006441803400347

@conference{simultech17,
author={Jean Le Fur and Pape A. Mboup and Moussa Sall},
title={A Simulation Model for Integrating Multidisciplinary Knowledge in Natural Sciences - Heuristic and Application to Wild Rodent Studies},
booktitle={Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2017},
pages={340-347},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006441803400347},
isbn={978-989-758-265-3},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - A Simulation Model for Integrating Multidisciplinary Knowledge in Natural Sciences - Heuristic and Application to Wild Rodent Studies
SN - 978-989-758-265-3
AU - Le Fur J.
AU - A. Mboup P.
AU - Sall M.
PY - 2017
SP - 340
EP - 347
DO - 10.5220/0006441803400347

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