Abstract
Recent reviews stated that the complex and context-dependent nature of human decision-making resulted in ad-hoc representations of human decision in agent-based land use change models (LUCC ABMs) and that these representations are often not explicitly grounded in theory. However, a systematic survey on the characteristics (e.g. uncertainty, adaptation, learning, interactions and heterogeneities of agents) of representing human decision-making in LUCC ABMs is missing. Therefore, the aim of this study is to inform this debate by reviewing 134 LUCC ABM papers. We show that most human decision sub-models are not explicitly based on a specific theory and if so they are mostly based on economic theories, such as the rational actor, and mainly ignoring other relevant disciplines. Consolidating and enlarging the theoretical basis for modelling human decision-making may be achieved by using a structural framework for modellers, re-using published decision models, learning from other disciplines and fostering collaboration with social scientists.
| Original language | English |
|---|---|
| Pages (from-to) | 39-48 |
| Number of pages | 10 |
| Journal | Environmental modelling & software |
| Volume | 87 |
| DOIs | |
| Publication status | Published - 1 Jan 2017 |
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Keywords
- Adaptation
- Heterogeneity
- Human behaviour
- Learning
- Multi-agent systems
- ODD+D
- Uncertainty
- ITC-ISI-JOURNAL-ARTICLE
Cite this
}
Theoretical foundations of human decision-making in agent-based land use models – A review. / Groeneveld, Geert J.; Müller, B.; Buchmann, C.M.; Dressler, Gunnar; Guo, C.; Hase, N.; Hoffmann, F.; John, F.; Klassert, C.; Lauf, T.; Liebelt, V.; Nolzen, H.; Pannicke, N.; Schulze, J.; Weise, H.; Schwarz, N.
In: Environmental modelling & software, Vol. 87, 01.01.2017, p. 39-48.Research output: Contribution to journal › Review article › Academic › peer-review
TY - JOUR
T1 - Theoretical foundations of human decision-making in agent-based land use models – A review
AU - Groeneveld, Geert J.
AU - Müller, B.
AU - Buchmann, C.M.
AU - Dressler, Gunnar
AU - Guo, C.
AU - Hase, N.
AU - Hoffmann, F.
AU - John, F.
AU - Klassert, C.
AU - Lauf, T.
AU - Liebelt, V.
AU - Nolzen, H.
AU - Pannicke, N.
AU - Schulze, J.
AU - Weise, H.
AU - Schwarz, N.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Recent reviews stated that the complex and context-dependent nature of human decision-making resulted in ad-hoc representations of human decision in agent-based land use change models (LUCC ABMs) and that these representations are often not explicitly grounded in theory. However, a systematic survey on the characteristics (e.g. uncertainty, adaptation, learning, interactions and heterogeneities of agents) of representing human decision-making in LUCC ABMs is missing. Therefore, the aim of this study is to inform this debate by reviewing 134 LUCC ABM papers. We show that most human decision sub-models are not explicitly based on a specific theory and if so they are mostly based on economic theories, such as the rational actor, and mainly ignoring other relevant disciplines. Consolidating and enlarging the theoretical basis for modelling human decision-making may be achieved by using a structural framework for modellers, re-using published decision models, learning from other disciplines and fostering collaboration with social scientists.
AB - Recent reviews stated that the complex and context-dependent nature of human decision-making resulted in ad-hoc representations of human decision in agent-based land use change models (LUCC ABMs) and that these representations are often not explicitly grounded in theory. However, a systematic survey on the characteristics (e.g. uncertainty, adaptation, learning, interactions and heterogeneities of agents) of representing human decision-making in LUCC ABMs is missing. Therefore, the aim of this study is to inform this debate by reviewing 134 LUCC ABM papers. We show that most human decision sub-models are not explicitly based on a specific theory and if so they are mostly based on economic theories, such as the rational actor, and mainly ignoring other relevant disciplines. Consolidating and enlarging the theoretical basis for modelling human decision-making may be achieved by using a structural framework for modellers, re-using published decision models, learning from other disciplines and fostering collaboration with social scientists.
KW - Adaptation
KW - Heterogeneity
KW - Human behaviour
KW - Learning
KW - Multi-agent systems
KW - ODD+D
KW - Uncertainty
KW - ITC-ISI-JOURNAL-ARTICLE
UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2017/isi/schwarz_the.pdf
U2 - 10.1016/j.envsoft.2016.10.008
DO - 10.1016/j.envsoft.2016.10.008
M3 - Review article
VL - 87
SP - 39
EP - 48
JO - Environmental modelling & software
JF - Environmental modelling & software
SN - 1364-8152
ER -