Agent-based modeling (ABM) is a powerful tool for studying complex systems that involve multiple agents interacting with each other and their environment. However, there is a lack of comprehensive and easily accessible resources for learning about ABM and its applications. To address this issue, collaboration on developing an open curriculum on ABM for university seminars is proposed. An open curriculum would allow for the sharing of expertise and knowledge across disciplines and institutions, be more accessible to a broader audience, and foster greater collaboration and cooperation among researchers and practitioners in the field of ABM. This would ultimately improve the accessibility and impact of ABM as a tool for understanding and predicting the behavior of complex systems. We propose a curriculum comprising six modules covering the introduction to ABM, building an ABM, analyzing and interpreting results, real-world applications, advanced topics, and future directions.
CITATION STYLE
Calero Valdez, A., Nakayama, J., Vervier, L., Nunner, H., & Ziefle, M. (2023). Using Agent-Based Modeling to Understand Complex Social Phenomena - A Curriculum Approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 14029 LNCS, pp. 368–377). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-35748-0_27
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