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.
|Number of pages||5|
|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|
- Social-ecological systems
- Policy Making
- Fuzzy Cognitive Mapping
- Agent-based modeling
Mehryar, S., Sliuzas, R. V., Schwarz, N., & van Maarseveen, M. F. A. M. (Accepted/In press). Policy Option Simulation in Socio-Ecological Systems. Paper presented at 14th Annual Conference on Social simulation 2018, Stockholm, Sweden.