Participatory Management of Protected Areas for Biodiversity Conservation and Social Inclusion: Experience of the SimParc Multi-Agent Based Serious Game

Abstract : The objective of this paper is to reflect on our experience in a serious game research project, named SimParc, about multi-agent support for participatory management of protected areas for biodiversity conservation and social inclusion. Our project has a clear filiation with the MAS-RPG (Multi-Agent-Simulation – Role-Playing Games) methodology developed by the ComMod action-research community about participatory management of renewable resources, where multi-agent simulation (MAS) computes the dynamics of the resources and role-playing game (RPG) represents the actions and dialogue between stakeholders about the resources. Meanwhile, we have explored some specific directions, such as: dialogue support for negotiation; argumentation-based decision making and its explanation; technical assistance to the players based on viability modeling. In fact, in our project multi-agent based simulation focuses on the negotiation process itself, performed by human players and some artificial participants/agents, rather than on the simulation of the resources dynamics. Meanwhile, as we will see, we have also reintroduced the modeling of the socioecosystem dynamics, but as a local technical assistance/analysis tool for the players and not as a global system modeling. In this proposed chapter, we aim at discussing the rationales for these specificities and for the whole project, as well as summarizing the architecture of our prototype system, current results and experience produced and, last but not the least, lessons learned and prospects for future works.
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Jean-Pierre Briot, Marta de Azevedo Irving, José Eurico Vasconcelos Filho, Gustavo Mendes de Melo, Isabelle Alvarez, et al.. Participatory Management of Protected Areas for Biodiversity Conservation and Social Inclusion: Experience of the SimParc Multi-Agent Based Serious Game. Diana F. Adamatti. Multi-Agent Based Simulations Applied to Biological and Environmental Systems, IGI Global, pp.295-332, 2017, Advances in Computational Intelligence and Robotics (ACIR) Book Series, 978-1-5225-1756-6. ⟨hal-01359644v3⟩

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