Generative Agent-Based Modeling: Unveiling Social System Dynamics through Coupling Mechanistic Models with Generative Artificial Intelligence

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dc.contributor.authorGhaffarzadegan, Naviden
dc.contributor.authorMajumdar, Aritraen
dc.contributor.authorWilliams, Rossen
dc.contributor.authorHosseinichimeh, Niyoushaen
dc.date.accessioned2024-01-25T18:02:54Zen
dc.date.available2024-01-25T18:02:54Zen
dc.date.issued2024-01en
dc.description.abstractWe discuss the emerging new opportunity for building feedback-rich computational models of social systems using generative artificial intelligence. Referred to as Generative Agent-Based Models (GABMs), such individual-level models utilize large language models to represent human decision-making in social settings. We provide a GABM case in which human behavior can be incorporated in simulation models by coupling a mechanistic model of human interactions with a pre-trained large language model. This is achieved by introducing a simple GABM of social norm diffusion in an organization. For educational purposes, the model is intentionally kept simple. We examine a wide range of scenarios and the sensitivity of the results to several changes in the prompt. We hope the article and the model serve as a guide for building useful dynamic models of various social systems that include realistic human reasoning and decision-making.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationGhaffarzadegan, N., Majumdar, A., Williams, R., & Hosseinichimeh, N. (2024). Generative agent‐based modeling: an introduction and tutorial. System Dynamics Review. https://doi.org/10.1002/sdr.1761en
dc.identifier.doihttps://doi.org/10.1002/sdr.1761en
dc.identifier.orcidGhaffarzadegan, Navid [0000-0003-3632-8588]en
dc.identifier.urihttps://hdl.handle.net/10919/117686en
dc.identifier.volumeabs/2309.11456en
dc.language.isoenen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectGenerative agenten
dc.subjectgenerative artificial intelligenceen
dc.subjectagent-based modelen
dc.subjectgenerative agent-based modelen
dc.subjectsystem dynamicsen
dc.subjectChatGPTen
dc.titleGenerative Agent-Based Modeling: Unveiling Social System Dynamics through Coupling Mechanistic Models with Generative Artificial Intelligenceen
dc.title.serialSystem Dynamics Reviewen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Industrial and Systems Engineeringen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen
pubs.organisational-group/Virginia Tech/Report testen

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