Scholar
Tomáš Gavenčiak
Google Scholar ID: WeCJARQAAAAJ
Alignment of Complex Systems, Charles University, Prague
Citations & Impact
Citations
1,931
H-index
15
i10-index
17
Publications
20
Co-authors
57
list available
Contact
Publications
Resume (English only)
Academic Achievements
- His research can be found on Scholar, DBLP, arXiv, and ORCID. His current research interests include active inference-based agent models, interaction dynamics of large language models, hierarchical agency models, and ecosystem and biology-inspired models for agent systems. He also examines cooperation within games played on complex systems and networks, as well as models of bounded-rationality. Additionally, he has delved into topics such as graph theory, computational complexity, deep learning, artificial intelligence, reinforcement learning, genomic algorithm application, epidemic modelling, and job scheduling.
Research Experience
- He has worked on projects at Epidemic Forecasting project, Department of Applied Mathematics, Charles University, Algorithms group at ETH Zurich, AIC at Czech Technical University, Google Zurich, and CZ.NIC.
Education
- Specific educational background information not provided.
Background
- He is a multidisciplinary researcher in AI alignment, computer science theory, game theory, machine learning, existential risks, and applied rationality at the Alignment in Complex Systems Research Group, CTS, Charles University, Prague.
Miscellany
- Email: gavento@gmail.com
- GnuPG: 4800B554 (@gpg.mit.edu)
- GitHub: github.com/gavento
- LinkedIn: linkedin.com/in/gavento
