High-fidelity Multi-agent Simulations for Social Systems

For realizing the rational and quantitative design of social systems, we have been developing intelligent multi-agent based simulations together with high-fidelity models of social systems.The one is MATES (Multi-Agents based Traffic and Environmental Simulator), and the other is a virtual nursing care process simulator based on a multi-agent model.In this talk, I first describe the objectives of the research and some key technologies, and then introduce their practical applications with verification and validation, i.e.Tramway extension problem in an actual middle sized-city, Okayama, Japan, and an excretion care process in an actual day-care facility for elderly persons.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.ps1
Primary Topic
Simulation Techniques and Applications
Type
article
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article

High-fidelity Multi-agent Simulations for Social Systems

Hideki Fujii, Shinobu Yoshimura
Proceedings of International Conference on Artificial Life and Robotics
Simulation Techniques and Applications
article

High-fidelity Multi-agent Simulations for Social Systems

Hideki Fujii, Shinobu Yoshimura
article en

Abstract

For realizing the rational and quantitative design of social systems, we have been developing intelligent multi-agent based simulations together with high-fidelity models of social systems.The one is MATES (Multi-Agents based Traffic and Environmental Simulator), and the other is a virtual nursing care process simulator based on a multi-agent model.In this talk, I first describe the objectives of the research and some key technologies, and then introduce their practical applications with verification and validation, i.e.Tramway extension problem in an actual middle sized-city, Okayama, Japan, and an excretion care process in an actual day-care facility for elderly persons.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
The University of Tokyo (JP)
Reduced inequalities
Openalex Percentile: Top 70%
Simulation Techniques and Applications
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