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Agent-Based Participatory Simulations: Merging Multi-Agent Systems and Role-Playing Games

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Abstract

In 2001, Olivier Barreteau proposed to jointly use multi-agent systems and role-playing games for purposes of research, training and negotiation support in the field of renewable resource management. This joint use was later labeled the "MAS/RPG methodology" and this approach is one of the foundation stones of the ComMod movement. In this article, we present an alternative method called "agent-based participatory simulations". These simulations are multi-agent systems where human participants control some of the agents. The experiments we conducted prove that it is possible to successfully merge multi-agent systems and role-playing games. We argue that agent-based participatory simulations are also a significant improvement over the MAS/RPG approach, opening new perspectives and solving some of the problems generated by the joint use of role-playing games and multi-agent systems. The advantages are at least threefold. Because all interactions are computer mediated, they can be recorded and this record can be processed and used to improve the understanding of participants and organizers alike. Because of the merge, agent-based participatory simulations decrease the distance between the agent-based model and the behavior of participants. Agent-based participatory simulations allow for computer-based improvements such as the introduction of eliciting assistant agents with learning capabilities.

Suggested Citation

  • Paul Guyot & Shinichi Honiden, 2006. "Agent-Based Participatory Simulations: Merging Multi-Agent Systems and Role-Playing Games," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-8.
  • Handle: RePEc:jas:jasssj:2006-57-2
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    1. Michel Etienne, 2003. "SYLVOPAST: a Multiple Target Role-Playing Game to Assess Negotiation Processes in Sylvopastoral Management Planning," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(2), pages 1-5.
    2. Patrick D'aquino & Christophe Le Page & François Bousquet & Alassane Bah, 2003. "Using Self-Designed Role-Playing Games and a Multi-Agent System to Empower a Local Decision-Making Process for Land Use Management: the SelfCormas Experiment in Senegal," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(3), pages 1-5.
    3. Olivier Barreteau & François Bousquet & Jean-Marie Attonaty, 2001. "Role-Playing Games for Opening the Black Box of Multi-Agent Systems: Method and Lessons of Its Application to Senegal River Valley Irrigated Systems," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(2), pages 1-5.
    4. Olivier Barreteau, 2003. "Our Companion Modelling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(2), pages 1-1.
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    2. González-Méndez, Mauricio & Olaya, Camilo & Fasolino, Isidoro & Grimaldi, Michele & Obregón, Nelson, 2021. "Agent-Based Modeling for Urban Development Planning based on Human Needs. Conceptual Basis and Model Formulation," Land Use Policy, Elsevier, vol. 101(C).
    3. Appel, Franziska & Balmann, Alfons & Dong, Changxing & Rommel, Jens, 2018. "FarmAgriPoliS: An agricultural business management game for behavioral experiments, teaching, and gaming," IAMO Discussion Papers 271455, Institute of Agricultural Development in Transition Economies (IAMO).
    4. Falk, Thomas & Kumar, Shalander & Srigiri, Srinivasa, 2019. "Experimental games for developing institutional capacity to manage common water infrastructure in India," Agricultural Water Management, Elsevier, vol. 221(C), pages 260-269.
    5. Minh Nguyen-Duc & Alexis Drogoul, 2007. "Using Computational Agents to Design Participatory Social Simulations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(4), pages 1-5.
    6. Meine van Noordwijk & Erika Speelman & Gert Jan Hofstede & Ai Farida & Ali Yansyah Abdurrahim & Andrew Miccolis & Arief Lukman Hakim & Charles Nduhiu Wamucii & Elisabeth Lagneaux & Federico Andreotti , 2020. "Sustainable Agroforestry Landscape Management: Changing the Game," Land, MDPI, vol. 9(8), pages 1-38, July.
    7. Diana Adamatti & Jaime Simão Sichman & Helder Coelho, 2009. "An Analysis of the Insertion of Virtual Players in GMABS Methodology Using the Vip-JogoMan Prototype," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(3), pages 1-7.
    8. Amadou, Mahamadou L. & Villamor, Grace B. & Kyei-Baffour, Nicholas, 2018. "Simulating agricultural land-use adaptation decisions to climate change: An empirical agent-based modelling in northern Ghana," Agricultural Systems, Elsevier, vol. 166(C), pages 196-209.
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    10. Stefano Balbi & Carlo Giupponi, 2009. "Reviewing agent-based modelling of socio-ecosystems: a methodology for the analysis of climate change adaptation and sustainability," Working Papers 2009_15, Department of Economics, University of Venice "Ca' Foscari".
    11. Busch, Jonathan & Roelich, Katy & Bale, Catherine S.E. & Knoeri, Christof, 2017. "Scaling up local energy infrastructure; An agent-based model of the emergence of district heating networks," Energy Policy, Elsevier, vol. 100(C), pages 170-180.

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