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Agent-Based Simulation of Complex Systems: Application to Collective Management of Animal Wastes

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This paper presents the utilization of the multi-agent platform Geamas through the Biomas application for the collective management of animal wastes. The complexity of the scenarios under study gives rise to many unpredictable behavioral schemas whose analyses necessitate a simulation approach. In the present article we describe the whole set of concepts in use in multi-agent systems modeling and we demonstrate how these concepts are implemented in the Biomas application. We put the emphasis on the representation of agents, roles and on their operational environment. Simulation outputs of a realistic scenario of negotiation between agents are discussed and we demonstrate the importance of a well-adapted user interface.

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  • Rémy Courdier & François Guerrin & Fenintsoa Andriamasinoro & Jean-Marie Paillat, 2002. "Agent-Based Simulation of Complex Systems: Application to Collective Management of Animal Wastes," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-4.
    • Handle: RePEc:jas:jasssj:2001-20-2
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    1. Justin Tan & Hongjuan Zhang & Liang Wang, 2015. "Network Closure or Structural Hole? The Conditioning Effects of Network–Level Social Capital on Innovation Performance," Entrepreneurship Theory and Practice, , vol. 39(5), pages 1189-1212, September.
    2. Christopher J Lynch & Saikou Y Diallo & Hamdi Kavak & Jose J Padilla, 2020. "A content analysis-based approach to explore simulation verification and identify its current challenges," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-33, May.
    3. Van der Straeten, Bart & Buysse, Jeroen & Nolte, Stephan & Lauwers, Ludwig H. & Claeys, Dakerlia & Van Huylenbroeck, Guido, 2011. "Policy intervention in a concentration permit market: efficiency analysis of obligatory manure processing in Flanders," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114832, European Association of Agricultural Economists.
    4. Van der Straeten, Bart & Buysse, Jeroen & Nolte, Stephan & Marchand, Fleur L. & Lauwers, Ludwig H. & Claeys, Dakerlia & Van Huylenbroeck, Guido, 2008. "A Farm Level Analysis Of The Relation Between Cap Reforms And Local Environmental Legislations: How And In Which Extent Flemish Dairy Farmers Can Fill Up Extra Milk Quota?," 109th Seminar, November 20-21, 2008, Viterbo, Italy 44846, European Association of Agricultural Economists.
    5. Andriamasinoro, Fenintsoa & Angel, Jean-Michel, 2007. "Modeling the ultra-pure quartz exploitation in northeastern madagascar: Impact of the activity on the socio-economical situation of the population," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 36(2), pages 311-329, April.
    6. Coronese, Matteo & Occelli, Martina & Lamperti, Francesco & Roventini, Andrea, 2023. "AgriLOVE: Agriculture, land-use and technical change in an evolutionary, agent-based model," Ecological Economics, Elsevier, vol. 208(C).
    7. Davies, G.J. & Kendall, G. & Soane, Emma & Li, J. & Rocks, S.A. & Jude, S.R. & Pollard, S.J.T., 2014. "Regulators as agents: modelling personality and power as evidence is brokered to support decisions on environmental risk," LSE Research Online Documents on Economics 51229, London School of Economics and Political Science, LSE Library.
    8. Wassenaar, T. & Doelsch, E. & Feder, F. & Guerrin, F. & Paillat, J.-M. & Thuriès, L. & Saint Macary, H., 2014. "Returning Organic Residues to Agricultural Land (RORAL) – Fuelling the Follow-the-Technology approach," Agricultural Systems, Elsevier, vol. 124(C), pages 60-69.
    9. Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.
    10. Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2024. "Towards sustainable agriculture: behaviors, spatial dynamics and policy in an evolutionary agent-based model," LEM Papers Series 2024/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Fernandez-Mena, Hugo & Gaudou, Benoit & Pellerin, Sylvain & MacDonald, Graham K. & Nesme, Thomas, 2020. "Flows in Agro-food Networks (FAN): An agent-based model to simulate local agricultural material flows," Agricultural Systems, Elsevier, vol. 180(C).

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