Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1016/j.geosus.2024.09.011
Licence creative commons licence
Title (Primary) Complex adaptive systems science in the era of global sustainability crisis
Author An, L.; Turner II, B.L.; Liu, J.; Grimm, V.; Zhang, Q.; Wang, Z.; Huang, R.
Source Titel Geography and Sustainability
Year 2025
Department OESA
Volume 6
Issue 1
Page From art. 100250
Language englisch
Topic T5 Future Landscapes
Supplements https://ars.els-cdn.com/content/image/1-s2.0-S2666683924001032-mmc1.docx
Keywords highlight; Social-environmental systems; Complex adaptive systems; Sustainability science; Agent-based models; Artificial intelligence; Data science
Abstract A significant number and range of challenges besetting sustainability can be traced to the actions and interactions of multiple autonomous agents (people mostly) and the entities they create (e.g., institutions, policies, social network) in the corresponding social-environmental systems (SES). To address these challenges, we need to understand decisions made and actions taken by agents, the outcomes of their actions, including the feedbacks on the corresponding agents and environment. The science of complex adaptive systems—CAS science—has a significant potential to handle such challenges. We address the advantages of CAS science for sustainability by identifying the key elements and challenges in sustainability science, the generic features of CAS, and the key advances and challenges in modeling CAS. Artificial intelligence and data science combined with agent-based modeling promise to improve understanding of agents’ behaviors, detect SES structures, and formulate SES mechanisms.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=29021
An, L., Turner II, B.L., Liu, J., Grimm, V., Zhang, Q., Wang, Z., Huang, R. (2025):
Complex adaptive systems science in the era of global sustainability crisis
Geogr. Sustain. 6 (1), art. 100250 10.1016/j.geosus.2024.09.011