Using Agent-Based Modeling to Understand Complex Social Phenomena: A Curriculum Approach

André Calero Valdez; Johannes Nakayama; Luisa Vervier; Hendrik Nunner; Martina Ziefle

doi:10.1007/978-3-031-35748-0_27

Using Agent-Based Modeling to Understand Complex Social Phenomena: A Curriculum Approach

André Calero Valdez^*, Johannes Nakayama, Luisa Vervier, Hendrik Nunner, Martina Ziefle

^*Korrespondierende/r Autor/-in für diese Arbeit

Institut für Multimediale und Interaktive Systeme

Rheinisch-Westfälische Technische Hochschule Aachen

Abstract

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.

Originalsprache	Englisch
Titel	14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023 : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	14029
Herausgeber (Verlag)	Springer Nature Swiitzerland
Erscheinungsdatum	2023
Seiten	368 - 377
DOIs	https://doi.org/10.1007/978-3-031-35748-0_27
Publikationsstatus	Veröffentlicht - 2023

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10.1007/978-3-031-35748-0_27

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Calero Valdez, A.
01.05.22 → 30.04.25
Projekt: Projekte aus Bundesmitteln › Projekte aus Mitteln der Bundesministerien: BMBF

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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 14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Band 14029, S. 368 - 377). Springer Nature Swiitzerland. https://doi.org/10.1007/978-3-031-35748-0_27

Calero Valdez, André ; Nakayama, Johannes ; Vervier, Luisa et al. / Using Agent-Based Modeling to Understand Complex Social Phenomena : A Curriculum Approach. 14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Band 14029 Springer Nature Swiitzerland, 2023. S. 368 - 377

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abstract = "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.",

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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 14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Bd. 14029, Springer Nature Swiitzerland, S. 368 - 377. https://doi.org/10.1007/978-3-031-35748-0_27

Using Agent-Based Modeling to Understand Complex Social Phenomena: A Curriculum Approach. / Calero Valdez, André; Nakayama, Johannes; Vervier, Luisa et al.
14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Band 14029 Springer Nature Swiitzerland, 2023. S. 368 - 377.

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

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T1 - Using Agent-Based Modeling to Understand Complex Social Phenomena

T2 - A Curriculum Approach

AU - Calero Valdez, André

AU - Nakayama, Johannes

AU - Vervier, Luisa

AU - Nunner, Hendrik

AU - Ziefle, Martina

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

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BT - 14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023

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ER -

Calero Valdez A, Nakayama J, Vervier L, Nunner H, Ziefle M. Using Agent-Based Modeling to Understand Complex Social Phenomena: A Curriculum Approach. in 14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Band 14029. Springer Nature Swiitzerland. 2023. S. 368 - 377 doi: 10.1007/978-3-031-35748-0_27

Using Agent-Based Modeling to Understand Complex Social Phenomena: A Curriculum Approach

Abstract

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UN SDGs

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