Complex adaptive systems science in the era of global sustainability crisis
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 ad...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Geography and Sustainability |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666683924001032 |
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| author | Li An B.L. Turner, II Jianguo Liu Volker Grimm Qi Zhang Zhangyang Wang Ruihong Huang |
| author_facet | Li An B.L. Turner, II Jianguo Liu Volker Grimm Qi Zhang Zhangyang Wang Ruihong Huang |
| author_sort | Li An |
| collection | DOAJ |
| description | 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—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. |
| format | Article |
| id | doaj-art-1c9a5f427ed94e8fbc62cf4dc20d5afc |
| institution | Kabale University |
| issn | 2666-6839 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Geography and Sustainability |
| spelling | doaj-art-1c9a5f427ed94e8fbc62cf4dc20d5afc2025-01-04T04:57:13ZengElsevierGeography and Sustainability2666-68392025-02-0161100250Complex adaptive systems science in the era of global sustainability crisisLi An0B.L. Turner, II1Jianguo Liu2Volker Grimm3Qi Zhang4Zhangyang Wang5Ruihong Huang6College of Forestry, Wildlife, and Environment, Auburn University, 602 Duncan Drive, Auburn, AL 36849, USA; International Center for Climate and Global Change Research, Auburn University, 602 Duncan Drive, Auburn, AL 36849, USA; Corresponding author.School of Geographical Sciences and Urban Planning & School of Sustainability, Arizona State University, PO Box 875302, Tempe, AZ 85287-5302, USACenter for Systems Integration and Sustainability, Michigan State University, East Lansing, MI 48823-5243, USAHelmholtz Centre for Environmental Research – UFZ, Department of Ecological Modelling, Permoserstr. 15, 04318 Leipzig, GermanyDepartment of Geography and Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USADepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USADepartment of Computer Science and Engineering, Texas A&M University, College Station, TX 77843, USAA 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—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.http://www.sciencedirect.com/science/article/pii/S2666683924001032Social-environmental systemsComplex adaptive systemsSustainability scienceAgent-based modelsArtificial intelligenceData science |
| spellingShingle | Li An B.L. Turner, II Jianguo Liu Volker Grimm Qi Zhang Zhangyang Wang Ruihong Huang Complex adaptive systems science in the era of global sustainability crisis Geography and Sustainability Social-environmental systems Complex adaptive systems Sustainability science Agent-based models Artificial intelligence Data science |
| title | Complex adaptive systems science in the era of global sustainability crisis |
| title_full | Complex adaptive systems science in the era of global sustainability crisis |
| title_fullStr | Complex adaptive systems science in the era of global sustainability crisis |
| title_full_unstemmed | Complex adaptive systems science in the era of global sustainability crisis |
| title_short | Complex adaptive systems science in the era of global sustainability crisis |
| title_sort | complex adaptive systems science in the era of global sustainability crisis |
| topic | Social-environmental systems Complex adaptive systems Sustainability science Agent-based models Artificial intelligence Data science |
| url | http://www.sciencedirect.com/science/article/pii/S2666683924001032 |
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