From cases to general principles: A call for theory development through agent-based modeling

Publikationstyp
Journal Article
Publikationsdatum
2019-02-01
Sprache
English
Author
Lorscheid, Iris 
Berger, Uta 
Grimm, Volker 
Meyer, Matthias 
Institut
Controlling und Simulation W-1 
TORE-URI
http://hdl.handle.net/11420/2201
Enthalten in
Ecological Modelling 
Volume
393
Start Page
153
End Page
156
Citation
Ecological Modelling (393): 153-156 (2019-02-01)
Publisher DOI
10.1016/j.ecolmodel.2018.10.006
Scopus ID
2-s2.0-85061566753
Virtually all current major social and environmental challenges such as financial crises, migration, the erosion of democratic institutions, and the loss of biodiversity involve complex systems comprising decision-making, interacting, adaptive agents. To understand how such agent-based complex systems function and respond to change and disturbances, agent-based modeling (ABM) is increasingly recognized as the main way forward. Many motivating examples of agent-based models exist that are realistic enough to successfully support the management of complex systems, but these solutions are case-specific and contribute few general insights into the functioning of systems. General theory, though, is highly needed because we cannot model each system and question. Still, across disciplines, a critical mass of expertise has accumulated that could transform ABM into a more coherent and efficient approach to discover the functioning of complex social-economic-ecological systems. To this end, we need a cross-disciplinary discussion among researchers and a goal-oriented synthesis to identify the general principles and theories essential to improve our understanding and management of complex systems.