AI4EU
: A European AI On Demand Platform and Ecosystem
A Project coordinated by IIIA.
Web page:
Principal investigator:
Collaborating organisations:
AI4EU is the European Union’s landmark Artificial Intelligence project, which seeks to develop a European AI ecosystem, bringing together the knowledge, algorithms, tools and resources available and making it a compelling solution for users. Involving 80 partners, covering 21 countries, the €20m project kicked off in January 2019 and will run for three years. AI4EU will unify Europe’s Artificial Intelligence community. It will facilitate collective work in AI research, innovation and business in Europe. By sharing AI expertise, knowledge and tools with the Platform, AI4EU will make AI available to all.
2023
Marc Serramia,
Manel Rodriguez-Soto,
Maite Lopez-Sanchez,
Juan A. Rodríguez-Aguilar,
Filippo Bistaffa,
Paula Boddington,
Michael Wooldridge,
& Carlos Ansotegui
(2023).
Encoding Ethics to Compute Value-Aligned Norms.
Minds and Machines, 1--30.
[BibTeX]
[PDF]
Manel Rodríguez Soto,
Maite López-Sánchez,
& Juan A. Rodríguez-Aguilar
(2023).
Multi-objective reinforcement learning for designing ethical multi-agent environments.
Neural Computing and Applications.
https://doi.org/10.1007/s00521-023-08898-y.
[BibTeX]
[PDF]
Manel Rodríguez Soto,
Roxana Radulescu,
Juan A. Rodríguez-Aguilar,
Maite López-Sánchez,
& Ann Nowé
(2023).
Multi-objective reinforcement learning for guaranteeing alignment with multiple values.
Adaptive and Learning Agents Workshop (AAMAS 2023)
.
[BibTeX]
[PDF]
Athina Georgara,
Raman Kazhamiakin,
Ornella Mich,
Alessio Palmero Approsio,
Jean-Christoph Pazzaglia,
Juan A. Rodríguez-Aguilar,
& Carles Sierra
(2023).
The AI4Citizen pilot: Pipelining AI-based technologies to support school-work alternation programmes.
Applied Intelligence.
https://doi.org/10.1007/s10489-023-04758-3.
[BibTeX]
[PDF]
2022
Athina Georgara,
Juan A. Rodríguez-Aguilar,
Carles Sierra,
Ornella Mich,
Raman Kazhamiakin,
Alessio P. Approsio,
& Jean-Christophe Pazzaglia
(2022).
An Anytime Heuristic Algorithm for Allocating Many Teams to Many Tasks.
Proceedings of the 21st International Conference on Autonomous Agents and MultiAgent Systems
.
International Foundation for Autonomous Agents and Multiagent Systems.
[BibTeX]
[PDF]
Athina Georgara,
Juan A. Rodríguez-Aguilar,
& Carles Sierra
(2022).
Building Contrastive Explanations for Multi-Agent Team Formation.
Proceedings of the 21st International Conference on Autonomous Agents and MultiAgent Systems
.
International Foundation for Autonomous Agents and Multiagent Systems.
[BibTeX]
[PDF]
Manel Rodríguez Soto,
Juan A. Rodríguez-Aguilar,
& Maite López-Sánchez
(2022).
Building Multi-Agent Environments with Theoretical Guarantees on the Learning of Ethical Policies.
.
Adaptive and Learning Agents Workshop at AAMAS 2022 (ALA 2022).
[BibTeX]
[PDF]
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]
Athina Georgara,
Juan A. Rodríguez-Aguilar,
& Carles Sierra
(2022).
Privacy-Aware Explanations for Team Formation.
Proceedings of the 24th International Conference on Principles and Practice of Multi-Agent Systems
.
[BibTeX]
[PDF]
2021
Ángeles Manjarrés,
Celia Fernández-Aller,
Maite López-Sánchez,
Juan A. Rodríguez-Aguilar,
& Manuel Sierra Castañer
(2021).
Artificial Intelligence for a Fair, Just, and Equitable World.
IEEE Technology and Society Magazine, 40, 19-24.
https://doi.org/10.1109/MTS.2021.3056292.
[BibTeX]
[PDF]
Manel Rodríguez Soto,
Maite López-Sánchez,
& Juan A. Rodríguez-Aguilar
(2021).
Guaranteeing the Learning of Ethical Behaviour through Multi-Objective Reinforcement Learning.
.
Adaptive and Learning Agents Workshop at AAMAS 2021 (ALA 2021).
[BibTeX]
[PDF]
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]
Manel Rodríguez Soto,
Maite López-Sánchez,
& Juan A. Rodríguez-Aguilar
(2021).
Multi-Objective Reinforcement Learning for Designing Ethical Environments.
Proceedings of the 30th International Joint Conference on Artificial Intelligence, (IJCAI-21)
(pp. 545-551).
[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]
Athina Georgara,
Juan A. Rodríguez-Aguilar,
& Carles Sierra
(2021).
Towards a Competence-Based Approach to Allocate Teams to Tasks.
Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems
(pp. 1504–1506).
International Foundation for Autonomous Agents and Multiagent Systems.
[BibTeX]
[PDF]
2020
Jordi Ganzer,
Natalia Criado,
Maite Lopez-Sanchez,
Simon Parsons,
& Juan A. Rodríguez-Aguilar
(2020).
A model to support collective reasoning: Formalization, analysis and computational assessment.
arXiv preprint arXiv:2007.06850.
[BibTeX]
[PDF]
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]
Francisco Salas-Molina,
Juan A. Rodríguez-Aguilar,
& David Pla-Santamaria
(2020).
A stochastic goal programming model to derive stable cash management policies.
Journal of Global Optimization, 76, 333--346.
[BibTeX]
[PDF]
Manel Rodríguez Soto,
Maite López-Sánchez,
& Juan A. Rodríguez-Aguilar
(2020).
A Structural Solution to Sequential Moral Dilemmas.
Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems
(pp. 1152--1160).
[BibTeX]
[PDF]
Athina Georgara,
Carles Sierra,
& Juan A. Rodríguez-Aguilar
(2020).
TAIP: an anytime algorithm for allocating student teams to internship programs.
arXiv preprint arXiv:2005.09331.
[BibTeX]
[PDF]
Ramon Lopez de Mantaras
Adjunct Professor Ad Honorem
Adjunct Professor Ad Honorem
Marc Serramià Amorós
PhD Student
PhD Student
