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International Conference on Autonomous Agents and Multiagent Systems

AAMAS 2017: Autonomous Agents and Multiagent Systems pp 31–44Cite as

KILT: A Modelling Approach Based on Participatory Agent-Based Simulation of Stylized Socio-Ecosystems to Stimulate Social Learning with Local Stakeholders

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10643))

Abstract

A new approach is introduced under the slogan «Keep It a Learning Tool» (KILT) to emphasize the crucial need to make the purpose of the modelling process explicit when choosing the degree of complicatedness of an agent-based simulation model. We suggest that a co-design approach driven by early-stage and interactive simulation of empirical agent-based models representing stylized socio-ecosystems stimulates collective learning and, as a result, may promote the emergence of cooperative interactions among local stakeholders.

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Notes

  1. 1.

    http://ccl.northwestern.edu/netlogo/models/HubNetGridlockHubNet.

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Author information

Authors and Affiliations

  1. CIRAD, UPR Green, 34398, Montpellier, France

    Christophe Le Page

  2. CIRAD, UPR Green, University of Brasilia, Brasilia, Brazil

    Christophe Le Page

  3. CIRAD, UMR Astre, 34398, Montpellier, France

    Arthur Perrotton

  4. Center for Applied Social Sciences, University of Zimbabwe, Harare, Zimbabwe

    Arthur Perrotton

Authors
  1. Christophe Le Page
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  2. Arthur Perrotton
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Correspondence to Christophe Le Page or Arthur Perrotton .

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Editors and Affiliations

  1. University of Central Florida, Orlando, Florida, USA

    Gita Sukthankar

  2. IIIA-CSIC, Bellaterra, Spain

    Juan A. Rodriguez-Aguilar

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Le Page, C., Perrotton, A. (2017). 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. (eds) Autonomous Agents and Multiagent Systems. AAMAS 2017. Lecture Notes in Computer Science(), vol 10643. Springer, Cham. https://doi.org/10.1007/978-3-319-71679-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-71679-4_3

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