Cookies?
Library Header Image
LSE Research Online LSE Library Services

Policy option simulation in socio-ecological systems

Mehryar, Sara ORCID: 0000-0002-5755-0869, Sliuzas, Richard, Schwarz, Nina and van Maarseveen, Martin (2020) Policy option simulation in socio-ecological systems. In: Verhagen, Harko, Borit, Melania, Bravo, Giangiacomo and Wijermans, Nanda, (eds.) Advances in Social Simulation: Looking in the Mirror, 2018. Springer Proceedings in Complexity. Springer, SWE, 315 - 320. ISBN 9783030341268

[img] Text (Policy_Option_Simulation_in_Socio_Ecological_Systems) - Accepted Version
Download (102kB)

Identification Number: 10.1007/978-3-030-34127-5_30

Abstract

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.

Item Type: Book Section
Official URL: https://link.springer.com/book/10.1007/978-3-030-3...
Additional Information: © 2020 Springer Nature Switzerland AG
Divisions: Grantham Research Institute
Subjects: Q Science
Date Deposited: 24 Jul 2020 11:06
Last Modified: 20 Aug 2021 02:50
URI: http://eprints.lse.ac.uk/id/eprint/105783

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics