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Thiago
Thiago
 
Freitas Dos Santos
Freitas Dos Santos

PhD Student
PhD Student


Thiago
Thiago
 
Freitas Dos Santos
Freitas Dos Santos
PhD Student
PhD Student

Multiagent Systems
Multiagent Systems
(+34) 93 580 9570 ext.
201
201
thiago@iiia.csic.es
thiago@iiia.csic.es
Research areas:
  • Ethics & AI
  • Machine Learning
  • Multiagent Systems
  • Normative Systems
  • Learning
  • Responsible AI
  • Ethics & AI
  • Machine Learning
  • Multiagent Systems
  • Normative Systems
  • Learning
  • Responsible AI
Impact areas:
  • Ethics
  • Social Networking
  • Industry
  • Ethics
  • Social Networking
  • Industry
SDGs:
  • GOAL 10: Reduced Inequality
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 09: Industry, Innovation & Infrastructure
  • GOAL 10: Reduced Inequality
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 09: Industry, Innovation & Infrastructure
2023
Thiago Freitas Santos,  Nardine Osman,  & Marco Schorlemmer (2023). A multi-scenario approach to continuously learn and understand norm violations. Autonomous Agents and Multi-Agent Systems, 37, 38. https://doi.org/10.1007/s10458-023-09619-4. [BibTeX]
2022
Thiago Freitas Dos Santos,  Nardine Osman,  & Marco Schorlemmer (2022). Ensemble and Incremental Learning for Norm Violation Detection. Piotr Faliszewski, Viviana Mascardi, Catherine Pelachaud, & Matthew E. Taylor (Eds.), 21st International Conference on Autonomous Agents and Multiagent Systems, {AAMAS}2022, Auckland, New Zealand, May 9-13, 2022 (pp. 427--435). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). https://doi.org/10.5555/3535850.3535899. [BibTeX]
2021
Thiago Freitas Dos Santos,  Nardine Osman,  & Marco Schorlemmer (2021). Learning for Detecting Norm Violation in Online Communities. International Workshop on Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems (COINE), co-located with AAMAS 2021 . https://doi.org/https://arxiv.org/abs/2104.14911. [BibTeX]