Search results
Results: 36
Number of items: 36
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Colnaghi, M., Santos, F. P., Van Lange, P. A. M., & Balliet, D. (2023). Adaptations to infer fitness interdependence promote the evolution of cooperation. Proceedings of the National Academy of Sciences, 120(50), Article e2312242120. https://doi.org/10.1073/pnas.2312242120 -
Santos, F. P. (2023). Dynamics of Cooperation and Conflict in Multiagent Systems. In B. Williams, Y. Chen, & J. Neville (Eds.), Proceedings of the 37th AAAI Conference on Artificial Intelligence: AAAI-2023 : Washington, DC, USA, February 7-14, 2023 (Vol. 13, pp. 15453-15453). AAAI Press. https://doi.org/10.1609/aaai.v37i13.26820 -
da Silva, F. L., MacAlpine, P., Rădulescu, R., Santos, F. P., & Mannion, P. (2022). Special issue on adaptive and learning agents 2020. Neural Computing and Applications, 34(3), 1649-1651. https://doi.org/10.1007/s00521-021-06593-4
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Barsotti, F., Koçer, R. G., & Santos, F. P. (2022). Transparency, Detection and Imitation in Strategic Classification. In L. De Raedt (Ed.), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence: IJCAI 2022, Vienna, Austria, 23-29 July 2022 (pp. 67-73). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2022/10
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Arafan, A. M., Graus, D., Santos, F. P., & Beauxis-Aussalet, E. (2022). End-to-End Bias Mitigation in Candidate Recommender Systems with Fairness Gates. In M. Kaya, T. Bogers, D. Graus, S. Mesbah, C. Johnson, & F. Gutiérrez (Eds.), Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022): co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022) : Seattle, USA, 18th-23rd September 2022 Article 6 (CEUR Workshop Proceedings; Vol. 3218). CEUR-WS. https://ceur-ws.org/Vol-3218/RecSysHR2022-paper_6.pdf -
Barsotti, F., Koçer, R. G., & Santos, F. P. (2022). Can Algorithms be Explained Without Compromising Efficiency? The Benefits of Detection and Imitation in Strategic Classification: Extended abstract. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems : May 9-13, 2022, virtual event, New Zealand (Vol. 3, pp. 1536-1538). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/doi/10.5555/3535850.3536026 -
Merhej, R., Santos, F. P., Melo, F. S., & Santos, F. C. (2022). Cooperation and Learning Dynamics under Wealth Inequality and Diversity in Individual Risk Perception. Journal of Artificial Intelligence Research, 74, 733-764. https://doi.org/10.1613/jair.1.13519 -
Teixeira, A. S., Santos, F. C., Francisco, A. P., & Santos, F. P. (2021). Eliciting fairness in multiplayer bargaining through network-based role assignment: Extended abstract. In U. Endriss, A. Nowé, F. Dignum, & A. Lomuscio (Eds.), AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems : May 3-7, 2021, virtual event, UK (Vol. 3, pp. 1683–1685). International Foundation for Autonomous Agents and Multiagent Systems. https://www.ifaamas.org/Proceedings/aamas2021/pdfs/p1683.pdf
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Santos, F. P., Lelkes, Y., & Levin, S. A. (2021). Link recommendation algorithms and dynamics of polarization in online social networks. Proceedings of the National Academy of Sciences of the United States of America, 118(50), Article e2102141118. https://doi.org/10.1073/pnas.2102141118
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Merhej, R., Santos, F. P., Melo, F. S., & Santos, F. C. (2021). Cooperation between independent reinforcement learners under wealth inequality and collective risks. In U. Endriss, A. Nowé, F. Dignum, & A. Lomuscio (Eds.), AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems : May 3-7, 2021, virtual event, UK (Vol. 2, pp. 898-906). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/doi/10.5555/3463952.3464059
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