Abstract
Theoretical trends in agent-based modeling (ABM) draw sharp lines that usually limit the expressiveness of models to fit their methodological box: KISS puts emphasis on parsimonious and tractable model for systematic simulation analysis, KIDS focuses on the use of data for model specification and simulation validation, while KILT highlights the involvement of stakeholders to build representative model and turn simulation into a learning tool. In this proposal, we stress the benefit to break the lines and reinstate the various agent-based model purposes, focuses and supports in the particular context of designing transformative ABM. The proposed perspective to burst methodological boxes is based on the creation of models to mix social actors and issues based on sub-models supporting a variety of theoretical approaches. To back this methodological claim, we detailed a 10 years-long modeling effort to represent and support community based management of renewable resources in the wetlands of the lower Amazon, in the Para state of Brazil.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Axelrod, R., Hamilton, W.D.: The evolution of cooperation. Science 211(4489), 1390–1396 (1981). American Association for the Advancement of Science Section. https://doi.org/10.1126/science.7466396, https://science.sciencemag.org/content/211/4489/1390
Barreteau, O., Bots, P., Daniell, K., Etienne, M., Perez, P., Barnaud, C., Bazile, D., Becu, N., Castella, J.C., Daré, W., Trebuil, G.: Participatory approaches. In: Edmonds, B., Meyer, R. (eds.) Simulating Social Complexity: A Handbook. Understanding Complex Systems, pp. 197–234. Springer, Berlin (2013)
Bommel, P., Bonnet, M.P., Coudel, E., Haentjens, E., Nunes, C., Melo, G., Nasuti, S.: Livelihoods of local communities in an Amazonian floodplain coping with global changes. In: iEMSs Proceedings, Toulouse, p. 8 (2016)
Bousquet, F., Barreteau, O., D’Aquino, P., Etienne, M., Boissau, S., Aubert, S., Le Page, C., Babin, D., Castella, J.: Multi-agent systems and role games: collective learning processes for ecosystem management (2002). https://hal.inrae.fr/hal-02582720
van Bruggen, A., Nikolic, I., Kwakkel, J.: Modeling with stakeholders for transformative change. Sustainability 11(3), 825 (2019). Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/su11030825, https://www.mdpi.com/2071-1050/11/3/825
Castro, J., Drews, S., Exadaktylos, F., Foramitti, J., Klein, F., Konc, T., Savin, I., Bergh, J.: A review of agent–based modeling of climate–energy policy. WIREs Clim. Chang. 11(4) (2020). https://doi.org/10.1002/wcc.647, https://onlinelibrary.wiley.com/doi/abs/10.1002/wcc.647
Edmonds, B., Moss, S.: From KISS to KIDS - an ‘anti-simplistic’ modelling approach. In: Davidsson, P., Logan, B., Takadama, K. (eds.) Multi-Agent and Multi-Agent-Based Simulation. Lecture Notes in Computer Science, pp. 130–144. Springer, Berlin (2005)
Étienne, M., Bousquet, F., Le Page, C., Trébuil, G.: Transferring the ComMod approach. In: Étienne, M. (ed.) Companion Modelling: A Participatory Approach to Support Sustainable Development, pp. 291–309. Springer Netherlands, Dordrecht (2014)
Gilbert, N., Ahrweiler, P., Barbrook-Johnson, P., Narasimhan, K.P., Wilkinson, H.: Computational modelling of public policy: reflections on practice. J. Artif. Soc. Soc. Simul. 21(1), 14 (2018)
Hanappi, H.: Agent-based modelling. History, essence, future (2017)
Isaac, V.J., Castello, L., Santos, P.R.B., Ruffino, M.L.: Seasonal and interannual dynamics of river-floodplain multispecies fisheries in relation to flood pulses in the lower Amazon. Fish. Res. 183, 352–359 (2016). https://doi.org/10.1016/j.fishres.2016.06.017, https://www.sciencedirect.com/science/article/pii/S0165783616302065
Isaac, V.J., De Almeida, M.C.: El consumo de pescado en la Amazonía brasileña. COPESCAL. Documento Ocasional (13), I (2011). Food and Agriculture Organization of the United Nations
Kagho, G.O., Balac, M., Axhausen, K.W.: Agent-based models in transport planning: current state, issues, and expectations. Procedia Comput. Sci. 170, 726–732 (2020). https://doi.org/10.1016/j.procs.2020.03.164, https://linkinghub.elsevier.com/retrieve/pii/S187705092030627X
Katz, E., Lammel, A., Bonnet, M.P.: Climate change in a floodplain of the Brazilian Amazon: scientific observation and local knowledge. In: Welch-Devine, M.E., Sourdril, A.E., Burke, B.E. (eds.) Changing Climate, Changing Worlds: Local Knowledge and the Challenges of Social and Ecological Change. Ethnobiology, pp. 123–144. Springer (2020). https://hal.archives-ouvertes.fr/hal-02613684
Le Page, C., Perrotton, A.: KILT: a modelling approach based on participatory agent-based simulation of stylized socio-ecosystems to stimulate social learning with local stakeholders. In: Sukthankar, G., Rodriguez-Aguilar, J.A. (eds.) Autonomous Agents and Multiagent Systems, pp. 31–44. Springer International Publishing, Cham (2017)
McGrath, D.G., Cardoso, A., Almeida, O.T., Pezzuti, J.: Constructing a policy and institutional framework for an ecosystem-based approach to managing the lower Amazon floodplain. Environ. Dev. Sustain. 10(5), 677 (2008). https://doi.org/10.1007/s10668-008-9154-3
McGrath, D.G., Castello, L., Almeida, O.T., Estupiñán, G.M.B.: Market formalization, governance, and the integration of community fisheries in the Brazilian Amazon. Soc. Nat. Resour. 28(5), 513–529 (2015). https://doi.org/10.1080/08941920.2015.1014607, http://www.tandfonline.com/doi/full/10.1080/08941920.2015.1014607
McGrath, D.G., de Castro, F., Futemma, C., de Amaral, B.D., Calabria, J.: Fisheries and the evolution of resource management on the lower Amazon floodplain. Human Ecology 21(2), 167–195 (1993). https://doi.org/10.1007/BF00889358
Metcalf, S.S., Wheeler, E., BenDor, T.K., Lubinski, K.S., Hannon, B.M.: Sharing the floodplain: mediated modeling for environmental management. Environ. Model. Softw. 25(11), 1282–1290 (2010). https://doi.org/10.1016/j.envsoft.2008.11.009, https://linkinghub.elsevier.com/retrieve/pii/S1364815208002193
Pahl-Wostl, C.: The importance of social learning in restoring the multifunctionality of rivers and floodplains. Ecol. Soc. 11(1), art10 (2006). https://doi.org/10.5751/ES-01542-110110, http://www.ecologyandsociety.org/vol11/iss1/art10/
Squazzoni, F., Polhill, J.G., Edmonds, B., Ahrweiler, P., Antosz, P., Scholz, G., Chappin, E., Borit, M., Verhagen, H., Giardini, F., Gilbert, N.: Computational models that matter during a global pandemic outbreak: a call to action. J. Artif. Soc. Soc. Simul. 23(2), 10 (2020)
Stefanska, J., Magnuszewski, P., Sendzimir, J., Romaniuk, P., Taillieu, T., Dubel, A., Flachner, Z., Balogh, P.: A gaming exercise to explore problem-solving versus relational activities for river floodplain management: a game to explore problem-solving vs. relational activities. Environ. Policy Gov. 21(6), 454–471 (2011). https://doi.org/10.1002/eet.586, http://doi.wiley.com/10.1002/eet.586
Taillandier, P., Grignard, A., Marilleau, N., Philippon, D., Huynh, Q.N., Gaudou, B., Drogoul, A.: Participatory modeling and simulation with the GAMA platform. J. Artif. Soc. Soc. Simul. 22(2), 3 (2019)
Theophilo Folhes, R.: A gênese da transumância no baixo Rio Amazonas: arranjos fundiários, relações de poder e mobilidade entre ecossistemas. Boletim Goiano de Geografia 38(1), 138–158 (2018). https://doi.org/10.5216/bgg.v38i1.52818, https://www.revistas.ufg.br/bgg/article/view/52818
Voinov, A., Bousquet, F.: Modelling with stakeholders. Environ. Model Softw. 25(11), 1268–1281 (2010). Elsevier
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Chapuis, K. et al. (2022). Support Local Empowerment Using Various Modeling Approaches and Model Purposes: A Practical and Theoretical Point of View. In: Czupryna, M., Kamiński, B. (eds) Advances in Social Simulation. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-92843-8_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-92843-8_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-92842-1
Online ISBN: 978-3-030-92843-8
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)