MSD CoP Webinar: "Generative agents: A new frontier for representing human actors and their behavior in MSD models"

Chen, Cong; Zeng, Yongchao

doi:10.57931/3003115

Title: MSD CoP Webinar: "Generative agents: A new frontier for representing human actors and their behavior in MSD models"

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Abstract

Context: This webinar was hosted by the MultiSector Dynamics Community of Practice (MSD CoP; https://multisectordynamics.org). Talk #1: Behavioral Generative Agents for Energy Operations Presenter: Dr. Cong Chen (Thayer School of Engineering, Dartmouth College) Abstract: Accurately modeling consumer behavior in energy operations remains challenging due to inherent uncertainties, behavioral complexities, and limited empirical data. This talk introduces a novel approach leveraging generative agents--artificial agents powered by large language models--to realistically simulate customer decision-making in dynamic energy operations. Talk #2: Simulating multiple human perspectives in socio-ecological systems using large language models Presenter: Dr. Yongchao Zeng (Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU) of the Karlsruhe Institute of Technology in Germany) Abstract: Understanding socio-ecological systems requires insights from diverse stakeholder perspectives. This talk describes a novel simulation system called HoPeS (Human-oriented Perspective Shifting). HoPeS enables model users to not only explore simulated socio-ecological systems (SESs) from a third-person observer's perspective but also take any of the simulated stakeholder roles, like playing an RPG game. By shifting multiple perspectives, model users can reflect and integrate the situated knowledge learned through the participatory simulation, approximating a more holistic and less biased understanding of SESs. Moderators: Jim Yoon (MSD CoP Human Systemsmore »« less

Authors:

; Zeng, Yongchao

Thayer School of Engineering, Dartmouth College
Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU) of the Karlsruhe Institute of Technology in Germany

Publication Date:: Mon Nov 17 04:00:00 UTC 2025

DOE Contract Number:: AC05-76RL01830

Research Org.:: Pacific Northwest National Lab (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Subject:: Artificial Intelligence; Generative AI; Human Systems

OSTI Identifier:: 3003115

DOI:: https://doi.org/10.57931/3003115

Citation Formats


                    Chen, Cong, and Zeng, Yongchao. MSD CoP Webinar: "Generative agents: A new frontier for representing human actors and their behavior in MSD models".  United States: N. p., 2025. 
        Web.  doi:10.57931/3003115.

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                    Chen, Cong, & Zeng, Yongchao. MSD CoP Webinar: "Generative agents: A new frontier for representing human actors and their behavior in MSD models".  United States.  doi:https://doi.org/10.57931/3003115

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                    Chen, Cong, and Zeng, Yongchao. 2025.  
"MSD CoP Webinar: "Generative agents: A new frontier for representing human actors and their behavior in MSD models"".  United States.  doi:https://doi.org/10.57931/3003115.  https://www.osti.gov/servlets/purl/3003115. Pub date:Mon Nov 17 04:00:00 UTC 2025

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@article{osti_3003115,

  title        = {MSD CoP Webinar: "Generative agents: A new frontier for representing human actors and their behavior in MSD models"},

  author       = {Chen, Cong and Zeng, Yongchao},

  abstractNote = {Context: This webinar was hosted by the MultiSector Dynamics Community of Practice (MSD CoP; https://multisectordynamics.org).   Talk #1: Behavioral Generative Agents for Energy Operations Presenter:  Dr. Cong Chen (Thayer School of Engineering, Dartmouth College) Abstract: Accurately modeling consumer behavior in energy operations remains challenging due to inherent uncertainties, behavioral complexities, and limited empirical data. This talk introduces a novel approach leveraging generative agents--artificial agents powered by large language models--to realistically simulate customer decision-making in dynamic energy operations.  Talk #2: Simulating multiple human perspectives in socio-ecological systems using large language models Presenter:  Dr. Yongchao Zeng (Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU) of the Karlsruhe Institute of Technology in Germany) Abstract: Understanding socio-ecological systems requires insights from diverse stakeholder perspectives. This talk describes a novel simulation system called HoPeS (Human-oriented Perspective Shifting). HoPeS enables model users to not only explore simulated socio-ecological systems (SESs) from a third-person observer's perspective but also take any of the simulated stakeholder roles, like playing an RPG game. By shifting multiple perspectives, model users can reflect and integrate the situated knowledge learned through the participatory simulation, approximating a more holistic and less biased understanding of SESs. Moderators: Jim Yoon (MSD CoP Human Systems Modeling Working Group Co-Chair); Stefano Galelli (MSD CoP Using AI to Enhance MSD Research Working Group Co-Chair); Patrick M. Reed (MSD CoP Facilitation Team) This webinar was held on:  November 13th, 2025 from 12-1 PM EST.  },

  doi          = {10.57931/3003115},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Nov 17 04:00:00 UTC 2025},

  month        = {Mon Nov 17 04:00:00 UTC 2025}

}

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DOI: https://doi.org/10.57931/3003115

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