Policy Option Simulation in Socio-Ecological Systems

Research output: Contribution to conferencePaper

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.
Original languageEnglish
Number of pages5
Publication statusAccepted/In press - 20 Aug 2018
Event14th Annual Conference on Social simulation 2018: Looking in the mirror - Department of Computer and Systems Sciences (DSV), Stockholm, Sweden
Duration: 20 Aug 201824 Aug 2018
Conference number: 14
http://ssc2018.dsv.su.se/

Conference

Conference14th Annual Conference on Social simulation 2018
Abbreviated titleSSC 2018
CountrySweden
CityStockholm
Period20/08/1824/08/18
Internet address

Fingerprint

Water

Keywords

  • Social-ecological systems
  • Policy Making
  • Fuzzy Cognitive Mapping
  • Agent-based modeling

Cite this

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.
Mehryar, S. ; Sliuzas, R.V. ; Schwarz, N. ; van Maarseveen, M.F.A.M. / Policy Option Simulation in Socio-Ecological Systems. Paper presented at 14th Annual Conference on Social simulation 2018, Stockholm, Sweden.5 p.
@conference{2ed438e32e6a40e5ac420656a7eff37b,
title = "Policy Option Simulation in Socio-Ecological Systems",
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.",
keywords = "Social-ecological systems, Policy Making, Fuzzy Cognitive Mapping, Agent-based modeling",
author = "S. Mehryar and R.V. Sliuzas and N. Schwarz and {van Maarseveen}, M.F.A.M.",
year = "2018",
month = "8",
day = "20",
language = "English",
note = "14th Annual Conference on Social simulation 2018 : Looking in the mirror, SSC 2018 ; Conference date: 20-08-2018 Through 24-08-2018",
url = "http://ssc2018.dsv.su.se/",

}

Mehryar, S, Sliuzas, RV, Schwarz, N & van Maarseveen, MFAM 2018, 'Policy Option Simulation in Socio-Ecological Systems' Paper presented at 14th Annual Conference on Social simulation 2018, Stockholm, Sweden, 20/08/18 - 24/08/18, .

Policy Option Simulation in Socio-Ecological Systems. / Mehryar, S.; Sliuzas, R.V.; Schwarz, N.; van Maarseveen, M.F.A.M.

2018. Paper presented at 14th Annual Conference on Social simulation 2018, Stockholm, Sweden.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Policy Option Simulation in Socio-Ecological Systems

AU - Mehryar, S.

AU - Sliuzas, R.V.

AU - Schwarz, N.

AU - van Maarseveen, M.F.A.M.

PY - 2018/8/20

Y1 - 2018/8/20

N2 - 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.

AB - 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.

KW - Social-ecological systems

KW - Policy Making

KW - Fuzzy Cognitive Mapping

KW - Agent-based modeling

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2018/conf/mehryar_pol.pdf

M3 - Paper

ER -

Mehryar S, Sliuzas RV, Schwarz N, van Maarseveen MFAM. Policy Option Simulation in Socio-Ecological Systems. 2018. Paper presented at 14th Annual Conference on Social simulation 2018, Stockholm, Sweden.