Marc
Serramià Amorós
PhD Student
Multiagent Systems
Research areas:
- Ethics & AI
- Machine Learning
- Multiagent Systems
- Responsible AI
- Social choice
- Argumentation
Impact areas:
- Ethics
- Smart Cities
SDGs:
- GOAL 16: Peace, Justice and Strong Institutions
- SDGs: General
- GOAL 09: Industry, Innovation & Infrastructure
- GOAL 11: Sustainable Cities and Communities
2023
Marc Serramia,
Maite López-Sánchez,
Stefano Moretti,
& Juan A. Rodríguez-Aguilar
(2023).
Building rankings encompassing multiple criteria to support qualitative decision-making.
Information Sciences, 631, 288-304.
[BibTeX]
[PDF]
2022
Manel Rodríguez Soto,
Marc Serramia,
Maite López-Sánchez,
& Juan A. Rodríguez-Aguilar
(2022).
Instilling moral value alignment by means of multi-objective reinforcement learning.
Ethics and Information Technology, 24.
https://doi.org/10.1007/s10676-022-09635-0.
[BibTeX]
[PDF]
Roger Lera-Leri,
Filippo Bistaffa,
Marc Serramia,
Maite López-Sánchez,
& Juan A. Rodríguez-Aguilar
(2022).
Towards Pluralistic Value Alignment: Aggregating Value Systems through ℓₚ-Regression.
Proceedings of the 21st International Conference on Autonomous Agents and MultiAgent Systems
.
International Foundation for Autonomous Agents and Multiagent Systems.
[BibTeX]
[PDF]
2021
Maite Lopez-Sanchez,
Marc Serramia,
& Juan A Rodríguez-Aguilar
(2021).
Improving on-line debates by aggregating citizen support.
Artificial Intelligence Research and Development.
IOS Press.
[BibTeX]
[PDF]
Marc Serramia,
Maite López-Sánchez,
Stefano Moretti,
& Juan A. Rodríguez-Aguilar
(2021).
On the dominant set selection problem and its application to value alignment.
Autonomous Agents and Multi-agent Systems, 35.
[BibTeX]
[PDF]
2020
Marc Serramia,
Maite Lopez-Sanchez,
& Juan A. Rodríguez-Aguilar
(2020).
A Qualitative Approach to Composing Value-Aligned Norm Systems.
Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems
(pp. 1233--1241).
[BibTeX]
[PDF]
2019
Marc Serramia,
Jordi Ganzer-Ripoll,
Maite López-Sánchez,
Juan A. Rodríguez-Aguilar,
Natalia Criado,
Simon Parsons,
Patricio Escobar,
& Marc Fernández
(2019).
Citizen Support Aggregation Methods for Participatory Platforms..
CCIA
(pp. 9--18).
[BibTeX]
Marc Serramia,
Maite López-Sánchez,
Juan A. Rodríguez-Aguilar,
& Patricio Escobar
(2019).
Optimising Participatory Budget Allocation: The Decidim Use Case.
Artificial Intelligence Research and Development (pp 193-202).
IOS Press.
https://doi.org/10.3233/FAIA190124.
[BibTeX]
[PDF]
2018
Maite López-Sánchez,
Marc Serramia,
Juan A. Rodríguez-Aguilar,
Javier Morales,
Michael Wooldridge,
& Carlos Ansótegui
(2018).
Exploiting moral values to choose the right norms.
AAAI/ACM Conference on Artificial Intelligence, Ethics and Society
.
AAAI/ACM.
[BibTeX]
Marc Serramia,
Maite López-Sánchez,
Juan A. Rodríguez-Aguilar,
Manel Rodríguez Soto,
Michael Wooldridge,
Javier Morales,
& Carlos Ansótegui
(2018).
Moral Values in Norm Decision Making.
International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018)
.
IFAAMAS.
[BibTeX]
2017
Maite López-Sánchez,
Marc Serramia,
Juan A. Rodríguez-Aguilar,
Javier Morales,
& Michael Wooldridge
(2017).
Automating decision making to help establish norm-based regulations.
CoRR, abs/1703.09087.
[BibTeX]
Maite López-Sánchez,
Marc Serramia,
Juan A. Rodríguez-Aguilar,
Javier Morales,
& Michael Wooldridge
(2017).
Automating decision making to help establish norm-based regulations.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems
(pp. 1613-1615).
[BibTeX]
2016
Marc Serramia,
Maite López-Sánchez,
& Juan A. Rodríguez-Aguilar
(2016).
Aggregation operators to compute norm support in virtual communities.
The 10th Workshop on Advances in Preference Handling
.
https://doi.org/http://www.mpref-2016.preflib.org/program/.
[BibTeX]
Juan A. Rodríguez-Aguilar,
Marc Serramia,
& Maite López-Sánchez
(2016).
Aggregation operators to support collective reasoning.
Modeling Decisions for Artificial Intelligence (pp 3-14).
[BibTeX]