Thiago
Freitas Dos Santos
PhD Student
Multiagent Systems
Research areas:
- Ethics & AI
- Machine Learning
- Multiagent Systems
- Normative Systems
- Learning
- Responsible AI
Impact areas:
- Ethics
- Social Networking
- Industry
SDGs:
- 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]