Version 1
: Received: 21 September 2023 / Approved: 22 September 2023 / Online: 22 September 2023 (13:39:57 CEST)
How to cite:
An, L.; Turner II, B.L.; Liu, J.; Grimm, V.; Zhang, Q.; Wang, Z.; Huang, R. Agent-Based Complex Systems Science in the Era of Global Sustainability Crisis. Preprints2023, 2023091571. https://doi.org/10.20944/preprints202309.1571.v1
An, L.; Turner II, B.L.; Liu, J.; Grimm, V.; Zhang, Q.; Wang, Z.; Huang, R. Agent-Based Complex Systems Science in the Era of Global Sustainability Crisis. Preprints 2023, 2023091571. https://doi.org/10.20944/preprints202309.1571.v1
An, L.; Turner II, B.L.; Liu, J.; Grimm, V.; Zhang, Q.; Wang, Z.; Huang, R. Agent-Based Complex Systems Science in the Era of Global Sustainability Crisis. Preprints2023, 2023091571. https://doi.org/10.20944/preprints202309.1571.v1
APA Style
An, L., Turner II, B.L., Liu, J., Grimm, V., Zhang, Q., Wang, Z., & Huang, R. (2023). Agent-Based Complex Systems Science in the Era of Global Sustainability Crisis. Preprints. https://doi.org/10.20944/preprints202309.1571.v1
Chicago/Turabian Style
An, L., Zhangyang Wang and Ruihong Huang. 2023 "Agent-Based Complex Systems Science in the Era of Global Sustainability Crisis" Preprints. https://doi.org/10.20944/preprints202309.1571.v1
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 Agent-based Complex Systems—ACS science—has a significant potential to handle such challenges. The advantages of ACS science for sustainability are addressed by way of identifying the key elements and challenges in sustainability science, the generic features of ACS, and the key advances and challenges in modeling ACS. Artificial intelligence and data science promise to improve understanding of agents’ behaviors, detect SES structures, and formulate SES mechanisms.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
