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.
|Number of pages||6|
|Publication status||Accepted/In press - 20 Aug 2018|
|Event||14th Annual Conference on Social simulation 2018: Looking in the mirror - Department of Computer and Systems Sciences (DSV), Stockholm, Sweden|
Duration: 20 Aug 2018 → 24 Aug 2018
Conference number: 14
|Conference||14th Annual Conference on Social simulation 2018|
|Abbreviated title||SSC 2018|
|Period||20/08/18 → 24/08/18|
- Knowledge Co-Production
- Participatory Modeling
- Fuzzy Cognitive Mapping
- Agent-based modeling
Mehryar, S., Schwarz, N., Sliuzas, R. V., & van Maarseveen, M. F. A. M. (Accepted/In press). Making use of Fuzzy Cognitive Maps in Agent-Based Modeling. Paper presented at 14th Annual Conference on Social simulation 2018, Stockholm, Sweden.