Projects per year
Personal profile
Academic Biography
I am a PhD student and Research Assistant, funded by a grant offered by the Future of Life Institute, both under the supervision of Dr The Anh Han. My research interests revolve around costly incentives for promoting the emergence of cooperation, using methods from evolutionary game theory, multi-agent systems and complex networks. I am interested in institutional incentives and costly signalling, in particular. Recently, I have started thinking about how my research can be applied in the areas of safety compliance, specifically in the design of safe AI.
Education/Academic qualification
Bachelor, Teesside University
15 Sep 2015 → 1 Jun 2018
Award Date: 1 Jun 2018
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Network
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Projects
- 1 Finished
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Artificial intelligence development races in heterogeneous settings
Cimpeanu, T., Santos, F. C., Pereira, L. M., Lenaerts, T. & Han, T. A., 2 Feb 2022, In: Scientific Reports. 12, 1, 1723.Research output: Contribution to journal › Article › peer-review
Open AccessFile8 Downloads (Pure) -
Cost-efficient interventions for promoting fairness in the ultimatum game
Cimpeanu, T., Perret, C. & Han, T. A., 5 Dec 2021, In: Knowledge-Based Systems. 233, 107545.Research output: Contribution to journal › Article › peer-review
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Promoting Fair Proposers, Fair Responders or Both? Cost-Efficient Interference in the Spatial Ultimatum Game
Cimpeanu, T., Han, T. A. & Perret, C., 20 Jan 2021, (Accepted/In press) aamas.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Cost Effective Interventions in Complex Networks Using Agent-Based Modelling and Simulations: Doctoral Consortium
Cimpeanu, T., 9 May 2020, Proceedings of AAMAS'20. Association for Computing Machinery (ACM), p. 2188-2190 (AAMAS Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Exogenous rewards for promoting cooperation in scale-free networks
Cimpeanu, T., Han, T. A. & Santos, F. C., 2020, p. 316-323. 8 p.Research output: Contribution to conference › Paper › peer-review
1 Citation (Scopus)
Datasets
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A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning
International, C. O. A. A. A. M. S. 2. (Contributor), Cimpeanu, T. (Contributor) & Han, T. A. (Contributor), Underline Science Inc., 1 Jan 2020
DOI: 10.48448/ebhd-gq04, https://underline.io/lecture/315-a-very-condensed-survey-and-critique-of-multiagent-deep-reinforcement-learning
Dataset