Basic Information

Email Address

• Email Address

  si.zehua.7skyoto-u.ac.jp

Academic Degree

• 22 Jun. 2020

  Master of Engineering(Jilin University)
• 25 Sep. 2024

  九州大学博士（工学）

Academic Resume (Graduate Schools)

• Jilin University, Master program for Road and Railway Engineering in the School of Transportation, 修了
• 九州大学, 大学院総合理工学府総合理工学専攻博士後期課程, 修了

Academic Resume (Undergraduate School/Majors)

• Changchun University of Architecture and Engineering, Department of Road，Bridge，and River-Crossing Engineering in the School of Trans, 卒業

Research History

• From Apr. 2026, To Present

  Kyoto University, Graduate School of Informatics Department of Socisl Informatics, Program-Specific Assistant Professor
• From Oct. 2024, To Mar. 2026

  Kyoto University, Graduate School of Informatics Department of Socisl Informatics, Program-Specific Researcher

ID,URL

• ORCID ID

  0000-0003-0454-5203

• J-Global ID

  202401000002681647

researchmap URL

• https://researchmap.jp/529060

Research

Research Topics, Overview of the research

• Research Topics

  Computational modeling of cooperation through evolutionary game theory, multi-agent systems, complex networks, and reinforcement learning, alongside human–AI collaboration and the evaluation of large language model agents.

• Overview of the research

  My research focuses on understanding the emergence and maintenance of cooperation in complex social and networked systems. Using evolutionary game theory, multi-agent modeling, and computational simulations, I investigate how learning, adaptation, and interactions among agents influence collective behavior. In particular, I study social dilemmas such as the prisoner's dilemma and public goods games across different network structures, with an emphasis on the mechanisms that promote or inhibit cooperation. I also explore reinforcement learning and large language models to study human–AI cooperation and develop and evaluate AI agents with diverse behavioral and personality characteristics. My broader goal is to connect theoretical models of collective behavior with practical intelligent multi-agent systems.

Research Interests

• Evolutionary Game Theory

Research Areas

• Social infrastructure (civil Engineering, architecture, disaster prevention), Social systems engineering

Papers

• Can conditional prosocial rewarding outperform unconditional prosocial rewarding in promoting cooperation within structured populations?

  Zehua Si; Zhixue He; Sho Kawano; Jun Tanimoto

  Applied Mathematical Modelling, Jun. 2026

  
• Adaptive conformity promotes cooperation within structured populations

  Zehua Si; Takayuki Ito

  Chaos: An Interdisciplinary Journal of Nonlinear Science, 01 Mar. 2026

  
• Evolution of cooperation in spatial public goods games with migration and interactive diversity

  Zehua Si; Takayuki Ito; Hsuan-Wei Lee

  Applied Mathematics and Computation, Dec. 2025

  
• Beyond cyclic dominance: Reinforcement learning promotes cooperation in the spatial rock–paper–scissors game

  Zehua Si; Takayuki Ito

  Chaos, Solitons & Fractals, Oct. 2025

  
• Cooperative bots exhibit nuanced effects on cooperation across strategic frameworks

  Zehua Si; Zhixue He; Chen Shen; Jun Tanimoto

  Journal of The Royal Society Interface, Jan. 2025

  
• Mixed strategy approach destabilizes cooperation in finite populations with clustering coefficient

  Zehua Si; Zhixue He; Chen Shen; Jun Tanimoto

  Chaos: An Interdisciplinary Journal of Nonlinear Science, 01 May 2024

  
• An improved microscopic traffic model for heterogeneous vehicles using the vehicle's mass effect

  Zehua Si; Md Anowar Hossain; Jun Tanimoto

  Heliyon, Jun. 2023

  
• Speculative defectors as unexpected insulators of super cooperators in structured populations

  Zehua Si; Zhixue He; Chen Shen; Jun Tanimoto

  Chaos, Solitons & Fractals, May 2023

  

Awards

• 01 Nov. 2019

  Outstanding graduates(Jilin University，Changchun，China)