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Agent Based Modeling and Adaption to Climate Change

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  • Anthony Patt
  • Bernd Siebenhüner

Abstract

Agent based modeling is a technique for simulating complex systems that allows the modeler to investigate both the potential for and the sources of emergent properties: behaviors of the system quite different from the behavior of any of the elements within it. Problems well suited to investigation by agent based models are those with many people solving a similar problem where their individual responses to the problem influence the choices that others make, where new technologies may emerge to assist them solve the problem, and where social dilemmas exist. These features are inherent in many problems of adaptation to climate change. Agent based modeling can not predict the future of a complex adaptive system - no method of modeling can - but it can offer insights into the relationship between features of current systems and the range of possible future adaptations that will be likely in response to climate change. Die agentenbasierte Modellierung als Methode der Simulation komplexer Systeme ermöglicht die Analyse von Potentialen und Ursprüngen emergenter Eigenschaften, die nicht allein auf Basis des Verhaltens der Elemente des Systems erklärt werden können. Für agentenbasierte Modellansätze bieten sich insbesondere solche Probleme an, bei denen eine Vielzahl von sich wechselseitig beeinflussenden Individuen in die Lösung desselben Problems einbezogen sind. Zudem kann die Entstehung neuartiger Techniken sowie bestehende Umgangsformen mit sozialen Dilemmasituationen analysiert werden. Die Probleme der Anpassung an den Klimawandel zeichnen sich durch diese Kennzeichen aus. Zwar kann die agentenbasierte Modellierung die Zukunft eines komplexen adaptiven Systems ebenso wenig vorhersagen wie andere Modelle, doch kann sie Einsichten in die Beziehungen zwischen verschiedenen Eigenschaften dieser Systeme und in die möglichen zukünftigen Anpassungsmaßnahmen an den Klimawandel und deren Kosten liefern.

Suggested Citation

  • Anthony Patt & Bernd Siebenhüner, 2005. "Agent Based Modeling and Adaption to Climate Change," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 74(2), pages 310-320.
  • Handle: RePEc:diw:diwvjh:74-2-15
    DOI: 10.3790/vjh.74.2.310
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    1. Sylvie Geisendorf, 2018. "Evolutionary Climate-Change Modelling: A Multi-Agent Climate-Economic Model," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 921-951, October.
    2. Asseng, S. & Dray, A. & Perez, P. & Su, X., 2010. "Rainfall–human–spatial interactions in a salinity-prone agricultural region of the Western Australian wheat-belt," Ecological Modelling, Elsevier, vol. 221(5), pages 812-824.
    3. Amadou, Mahamadou L. & Villamor, Grace B. & Kyei-Baffour, Nicholas, 2018. "Simulating agricultural land-use adaptation decisions to climate change: An empirical agent-based modelling in northern Ghana," Agricultural Systems, Elsevier, vol. 166(C), pages 196-209.
    4. Scrieciu, S. Şerban & Barker, Terry & Ackerman, Frank, 2013. "Pushing the boundaries of climate economics: critical issues to consider in climate policy analysis," Ecological Economics, Elsevier, vol. 85(C), pages 155-165.
    5. Stefano Balbi & Carlo Giupponi, 2009. "Reviewing agent-based modelling of socio-ecosystems: a methodology for the analysis of climate change adaptation and sustainability," Working Papers 2009_15, Department of Economics, University of Venice "Ca' Foscari".
    6. Chion, Clément & Lamontagne, P. & Turgeon, S. & Parrott, L. & Landry, J.-A. & Marceau, D.J. & Martins, C.C.A. & Michaud, R. & Ménard, N. & Cantin, G. & Dionne, S., 2011. "Eliciting cognitive processes underlying patterns of human–wildlife interactions for agent-based modelling," Ecological Modelling, Elsevier, vol. 222(14), pages 2213-2226.

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