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Policy Option Simulation in Socio-ecological Systems

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Advances in Social Simulation

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

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.

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Notes

  1. 1.

    See [7, 8] for a detailed discussion on technical aspects of our proposed approach. A comprehensive framework that integrates the conceptual and methodological aspects will be presented in the long version.

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Author information

Authors and Affiliations

  1. Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, AE, The Netherlands

    Sara Mehryar, Richard Sliuzas, Nina Schwarz & Martin van Maarseveen

  2. Grantham Research Institute on Climate Change and the Environment, London School of Economics (LSE), London, UK

    Sara Mehryar

Authors
  1. Sara Mehryar
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  2. Richard Sliuzas
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  3. Nina Schwarz
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  4. Martin van Maarseveen
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Corresponding author

Correspondence to Sara Mehryar .

Editor information

Editors and Affiliations

  1. Department of Computer and Systems Sciences, Stockholm University, Kista, Sweden

    Harko Verhagen

  2. Norwegian College of Fishery Science, UiT The Arctic University of Norway, Tromsø, Norway

    Melania Borit

  3. Linnaeus University Centre for Data Intensive Sciences and Applications, Växjö, Sweden

    Giangiacomo Bravo

  4. Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden

    Nanda Wijermans

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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. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-34127-5_30

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