The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.
Agent‐based modeling in ecological economics
Abstract
Interconnected social and environmental systems are the domain of ecological economics, and models can be used to explore feedbacks and adaptations inherent in these systems. Agent‐based modeling (ABM) represents autonomous entities, each with dynamic behavior and heterogeneous characteristics. Agents interact with each other and their environment, resulting in emergent outcomes at the macroscale that can be used to quantitatively analyze complex systems. ABM is contributing to research questions in ecological economics in the areas of natural resource management and land‐use change, urban systems modeling, market dynamics, changes in consumer attitudes, innovation, and diffusion of technology and management practices, commons dilemmas and self‐governance, and psychological aspects to human decision making and behavior change. Frontiers for ABM research in ecological economics involve advancing the empirical calibration and validation of models through mixed methods, including surveys, interviews, participatory modeling, and, notably, experimental economics to test specific decision‐making hypotheses. Linking ABM with other modeling techniques at the level of emergent properties will further advance efforts to understand dynamics of social‐environmental systems.
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Cites
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Cited by
A framework for mapping and comparing behavioural theories in models of social-ecological systems
Schlüter, M., Baeza, A., Dressler, G., Frank, K., Groeneveld, J., Jager, W., Janssen, M. A., McAllister, R. R. J., Müller, B., Orach, K., et al. (2017) · Ecological Economics · doi:10.1016/j.ecolecon.2016.08.008 · Cited by 475
Large language models empowered agent-based modeling and simulation: a survey and perspectives
Gao, C., Lan, X., Li, N., Yuan, Y., Ding, J., Zhou, Z., Xu, F., & Li, Y. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03611-3 · Cited by 294
Fang, C., Liu, H., & Li, G. (2016) · Journal of Geographical Sciences · doi:10.1007/s11442-016-1317-9 · Cited by 256
The role of agent-based models in wildlife ecology and management
McLane, A. J., Semeniuk, C., McDermid, G. J., & Marceau, D. J. (2011) · Ecological Modelling · doi:10.1016/j.ecolmodel.2011.01.020 · Cited by 255
Examining fire-prone forest landscapes as coupled human and natural systems
Spies, T. A., White, E. M., Kline, J. D., Fischer, A. P., Ager, A., Bailey, J., Bolte, J., Koch, J., Platt, E., Olsen, C. S., et al. (2014) · Ecology and Society · doi:10.5751/es-06584-190309 · Cited by 186
Metadata
- Authors
- Heckbert, S., Baynes, T., & Reeson, A.
- Venue
- Annals of the New York Academy of Sciences
- Publisher
- Wiley
- Published
- 2010-01
- Volume
- 1185
- Issue
- 1
- Pages
- 39-53
- ISSN
- 0077-8923 (ISSN-L)
- 1749-6632
- OpenAlex
- W1960510011
- Cited by
- 291
- References
- 107
- FWCI
- 16.66
- Type
- journal article
- Language
- en
- Open access
- closed
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