Abstract
One of the main challenges in Agent-Based Modeling (ABM) is to model agents’ preferences and behavioral rules such that the knowledge and decision-making processes of real-life stakeholders will be reflected. To tackle this challenge, we demonstrate the potential use of a participatory method, Fuzzy Cognitive Mapping (FCM), that aggregates agents’ qualitative knowledge (i.e., knowledge co-production). In our proposed approach, the outcome of FCM would be a basis for designing agents’ preferences and behavioral rules in ABM. We apply this method to a social-ecological system of a farming community facing water scarcity.
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This work was supported by Faculty of Geo-Information Science & Earth Observation, University of Twente, Netherlands, the Grantham Foundation for the Protection of the Environment, and the ESRC via the Centre for Climate Change Economics and Policy, United Kingdom (grant number: ES/R009708/1).
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Mehryar, S., Schwarz, N., Sliuzas, R., van Maarseveen, M. (2020). Making Use of Fuzzy Cognitive Maps in Agent-Based Modeling. In: Verhagen, H., Borit, M., Bravo, G., Wijermans, N. (eds) Advances in Social Simulation. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-34127-5_29
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