A.M. (Alexandre) da Silva Pires MSc
Ph.D. student at the SIAS Group (https://www.sias-uva.nl/)
Faculty of Science
Informatics Institute
Area of expertise: Indirect Reciprocity, Reputations, Hybrid Populations, Cooperation, Consensus, Evolutionary Game Theory
Visiting address
- Science Park 900
Postal address
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Postbus 94323
1090 GH Amsterdam
Social media
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About me
I'm a Ph.D. student at the Socially Intelligent Artificial Systems (SIAS) Group, University of Amsterdam. My work focuses on understanding indirect reciprocity as a mechanism for cooperation under Human-AI hybrid populations. I'm supervised by Fernando P. Santos (SIAS) and Ana Paiva (GAIPS). The focus of my formal education is on artificial intelligence and complex systems. However, I always strive to bring perspectives from various fields, such music, art, history, economics, ecology and more.
Before this, I did my Computer Science and Engineering master's degree at Instituto Superior Técnico, University of Lisbon, Portugal, accompanied by professors Francisco C. Santos and Jorge M. Pacheco.
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Publications
2025
Pires, A. S., & Santos, F. P. (2025). Artificial Agents Mitigate the Punishment Dilemma of Indirect Reciprocity. In Y. Vorobeychik, S. Das, & A. Nowe (Eds.), AAMAS '25: Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems : May 19-23, 2025, Detroit, Michigan, USA (pp. 1650-1659). International Foundation for Autonomous Agents and Multiagent Systems. https://doi.org/10.65109/CSYI9046 [details]
2024
- Pires, A. S., & Santos, F. P. (2024). Artificial Agents Facilitate Human Cooperation Through Indirect Reciprocity. In U. Endriss, F. S. Melo, K. Bach, A. Bugarín-Diz, J. M. Alonso-Moral, S. Barro, & F. Heintz (Eds.), ECAI 2024: 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain : including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) : proceedings (pp. 3228-3235). (Frontiers in Artificial Intelligence and Applications; Vol. 392). IOS Press. https://doi.org/10.3233/FAIA240869 [details]
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Ancillary activities
No ancillary activities
Pires, A. S., & Santos, F. P. (2025). Artificial Agents Mitigate the Punishment Dilemma of Indirect Reciprocity. In Y. Vorobeychik, S. Das, & A. Nowe (Eds.), AAMAS '25: Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems : May 19-23, 2025, Detroit, Michigan, USA (pp. 1650-1659). International Foundation for Autonomous Agents and Multiagent Systems.