Policy option simulation in socio-ecological systems
Mehryar, S.
, Sliuzas, R., Schwarz, N. & van Maarseveen, M.
(2020).
Policy option simulation in socio-ecological systems.
In
Verhagen, H., Borit, M., Bravo, G. & Wijermans, N.
(Eds.),
Advances in Social Simulation: Looking in the Mirror, 2018
(pp. 315 - 320).
Springer Berlin / Heidelberg.
https://doi.org/10.1007/978-3-030-34127-5_30
, Sliuzas, R., Schwarz, N. & van Maarseveen, M.
(2020).
Policy option simulation in socio-ecological systems.
In
Verhagen, H., Borit, M., Bravo, G. & Wijermans, N.
(Eds.),
Advances in Social Simulation: Looking in the Mirror, 2018
(pp. 315 - 320).
Springer Berlin / Heidelberg.
https://doi.org/10.1007/978-3-030-34127-5_30
Social-ecological systems (SESs) i.e., systems linking human behavior and environmental dynamics, are characterized as complex, dynamic, and heterogeneous systems. A comprehensive policy simulation in SESs has to consider all these properties. In this paper, we present a conceptual analysis on key aspects of policy simulation in SESs and introduce a combined use of fuzzy cognitive mapping (FCM) and agent-based modeling (ABM) methods as an approach to cover those aspects. We illustrate the applicability of this combined method for policy simulation in the case of a farming community facing water scarcity.