Making use of fuzzy cognitive maps in agent-based modeling
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: Looking in the Mirror, 2018
(pp. 307 - 313).
Springer Berlin / Heidelberg.
https://doi.org/10.1007/978-3-030-34127-5_29
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.
| Item Type | Chapter |
|---|---|
| Copyright holders | © 2020 Springer Nature Switzerland AG |
| Departments | LSE > Research Centres > Grantham Research Institute |
| DOI | 10.1007/978-3-030-34127-5_29 |
| Date Deposited | 24 Jul 2020 |
| URI | https://researchonline.lse.ac.uk/id/eprint/105782 |
Explore Further
- https://www.scopus.com/pages/publications/85087910733 (Scopus publication)
- http://www.lse.ac.uk/granthaminstitute/profile/sara-mehryar/ (Author)
- https://link.springer.com/book/10.1007/978-3-030-3... (Official URL)
ORCID: https://orcid.org/0000-0002-5755-0869