Making use of fuzzy cognitive maps in agent-based modeling

Mehryar, S.ORCID logo, 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: Looking in the Mirror, 2018 (pp. 307 - 313). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-030-34127-5_29
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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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