Juan A.
Rodríguez-Aguilar
Research Professor
Multiagent Systems
(+34) 93 580 9570 ext.
431861
jar@iiia.csic.es
Research areas:
- Argumentation
- Collective decision making
- Multiagent Systems
- Social choice
- Multi-Objective Optimization
- Ethics & AI
- Machine Learning
- Responsible AI
- Combinatorial Optimisation
- Natural Language Processing
- Optimisation
- Team Formation
- Recommender Systems
- Normative Systems
- Probabilistic Graphical Models
- Virtual reality
- Automated Auctions
Impact areas:
- Smart Cities
- Finance
- Ethics
- Education
- Industry
- Transport / Automotive
- Cultural Heritage
SDGs:
- GOAL 11: Sustainable Cities and Communities
- GOAL 16: Peace, Justice and Strong Institutions
- GOAL 09: Industry, Innovation & Infrastructure
- SDGs: General
- GOAL 04: Quality Education
2023
Jordi Ganzer-Ripoll,
Natalia Criado,
Maite Lopez-Sanchez,
Simon Parsons,
& Juan A. Rodríguez-Aguilar
(2023).
A model to support collective reasoning: Formalization, analysis and computational assessment.
Journal of Artificial Intelligence Research.
[BibTeX]
[PDF]
Francisco Salas-Molina,
Juan A. Rodríguez-Aguilar,
& Montserrat Guillén
(2023).
A multidimensional review of the cash management problem.
Financial Innovation, 9.
[BibTeX]
[PDF]
Francisco Salas-Molina,
David Pla-Santamaria,
& Juan A. Rodríguez-Aguilar
(2023).
An analytic derivation of the efficient frontier in biobjective cash management and its implications for policies.
Annals of Operations Research.
[BibTeX]
[PDF]
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]
Enrico Liscio,
Roger Lera-Leri,
Filippo Bistaffa,
Roel I. J. Dobbe,
Catholijn M. Jonker,
Maite López-Sánchez,
Juan A. Rodríguez-Aguilar,
& Pradeep K. Murukannaiah
(2023).
Inferring Values via Hybrid Intelligence.
Proceedings of the 2nd International Conference on Hybrid Human Artificial Intelligence (HHAI)
(pp. In press).
[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]
Enrico Liscio,
Roger Lera-Leri,
Filippo Bistaffa,
Roel I. J. Dobbe,
Catholijn M. Jonker,
Maite López-Sánchez,
Juan A. Rodríguez-Aguilar,
& Pradeep K. Murukannaiah
(2023).
Value Inference in Sociotechnical Systems.
Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
(pp. 1774-1780).
[BibTeX]
[PDF]
2022
Tomas Trescak,
Roger Lera-Leri,
Filippo Bistaffa,
& Juan A. Rodríguez-Aguilar
(2022).
Agent-Assisted Life-Long Education and Learning.
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).
Allocating teams to tasks: an anytime heuristic competence-based approach.
Dorothea Baumeister, & Jörg Rothe (Eds.),
Multi-Agent Systems - 19th European Conference, {EUMAS}2022, Düsseldorf, Germany, September 14-16, 2022, Revised Selected Papers
.
Springer International Publishing.
[BibTeX]
[PDF]
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]
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
Filippo Bistaffa,
Christian Blum,
Jesús Cerquides,
Alessandro Farinelli,
& Juan A. Rodríguez-Aguilar
(2021).
A Computational Approach to Quantify the Benefits of Ridesharing for Policy Makers and Travellers.
IEEE Transactions on Intelligent Transportation Systems, 22, 119-130.
https://doi.org/10.1109/TITS.2019.2954982.
[BibTeX]
[PDF]
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]
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