Indirect reciprocity under opinion synchronization
PNAS (2024)
Team Director, Mathematical Social Science Team, RIKEN iTHEMS
Yohsuke Murase
I study how cooperation and collective behavior emerge in complex social systems, from evolutionary game dynamics to networked interactions. My work combines theoretical modeling with large-scale simulation to understand how local rules shape global outcomes.
Google Scholar / ORCID / GitHub / Email
Research Interests
Evolution of cooperation. I develop models of indirect and direct reciprocity to identify conditions that sustain cooperation under noise and incomplete information. This includes the role of social norms and reputation dynamics.
Dynamics on and of social networks. I study the dynamics on and of social networks, such as how network structure coevolves with individual behavior, and how diffusion, opinion alignment, or norm formation depend on connectivity.
HPC simulation tooling. I build scalable software pipelines for agent-based and network simulations on large parallel machines, focusing on reproducibility and performance.
Contact
Email: yohsuke.murase [at] gmail.com / yohsuke.murase [at] riken.jp
Affiliations:
- RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS)
- RIKEN Center for Computational Science (R-CCS)
- Graduate School of Science and Engineering, Saitama University