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  Towards representing human behavior and decision making in Earth system models - an overview of techniques and approaches

Müller-Hansen, F., Schlüter, M., Mäs, M., Donges, J. F., Kolb, J. J., Thonicke, K., Heitzig, J. (2017): Towards representing human behavior and decision making in Earth system models - an overview of techniques and approaches. - Earth System Dynamics, 8, 4, 977-1007.
https://doi.org/10.5194/esd-8-977-2017

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Müller-Hansen, Finn1, Autor              
Schlüter, M.2, Autor
Mäs, M.2, Autor
Donges, Jonathan Friedemann1, Autor              
Kolb, Jakob Johannes1, Autor              
Thonicke, Kirsten1, Autor              
Heitzig, Jobst1, Autor              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Zusammenfassung: Today, humans have a critical impact on the Earth system and vice versa, which can generate complex feedback processes between social and ecological dynamics. Integrating human behavior into formal Earth system models (ESMs), however, requires crucial modeling assumptions about actors and their goals, behavioral options, and decision rules, as well as modeling decisions regarding human social interactions and the aggregation of individuals' behavior. Here, we review existing modeling approaches and techniques from various disciplines and schools of thought dealing with human behavior at different levels of decision making. We demonstrate modelers' often vast degrees of freedom but also seek to make modelers aware of the often crucial consequences of seemingly innocent modeling assumptions. After discussing which socioeconomic units are potentially important for ESMs, we compare models of individual decision making that correspond to alternative behavioral theories and that make diverse modeling assumptions about individuals' preferences, beliefs, decision rules, and foresight. We review approaches to model social interaction, covering game theoretic frameworks, models of social influence, and network models. Finally, we discuss approaches to studying how the behavior of individuals, groups, and organizations can aggregate to complex collective phenomena, discussing agent-based, statistical, and representative-agent modeling and economic macro-dynamics. We illustrate the main ingredients of modeling techniques with examples from land-use dynamics as one of the main drivers of environmental change bridging local to global scales.

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 Datum: 2017
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.5194/esd-8-977-2017
PIKDOMAIN: Earth System Analysis - Research Domain I
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 7579
Research topic keyword: Climate Policy
Research topic keyword: Economics
Research topic keyword: Tipping Elements
Research topic keyword: Planetary Boundaries
Model / method: copan:CORE
Model / method: Agent-based Models
Model / method: Decision Theory
Organisational keyword: FutureLab - Earth Resilience in the Anthropocene
Organisational keyword: FutureLab - Game Theory & Networks of Interacting Agents
Organisational keyword: RD1 - Earth System Analysis
Organisational keyword: RD4 - Complexity Science
Working Group: Ecosystems in Transition
Working Group: Whole Earth System Analysis
Working Group: Network- and machine-learning-based prediction of extreme events
 Art des Abschluß: -

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Titel: Earth System Dynamics
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 8 (4) Artikelnummer: - Start- / Endseite: 977 - 1007 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1402282