Juan A.
Juan A.
 
Rodríguez-Aguilar
Rodríguez-Aguilar

Research Professor
Research Professor


Juan A.
Juan A.
 
Rodríguez-Aguilar
Rodríguez-Aguilar
Research Professor
Research Professor

Multiagent Systems
Multiagent Systems
(+34) 93 580 9570 ext.
218
218
jar@iiia.csic.es
jar@iiia.csic.es
Research areas:
  • Ethics & AI
  • Combinatorial Optimisation
  • Multiagent Systems
  • Responsible AI
  • Machine Learning
  • Normative Systems
  • Social choice
  • Optimisation
  • Probabilistic Graphical Models
  • Team Formation
  • Argumentation
  • Virtual reality
  • Automated Auctions
  • Ethics & AI
  • Combinatorial Optimisation
  • Multiagent Systems
  • Responsible AI
  • Machine Learning
  • Normative Systems
  • Social choice
  • Optimisation
  • Probabilistic Graphical Models
  • Team Formation
  • Argumentation
  • Virtual reality
  • Automated Auctions
Impact areas:
  • Ethics
  • Smart Cities
  • Transport / Automotive
  • Finance
  • Industry
  • Education
  • Cultural Heritage
  • Ethics
  • Smart Cities
  • Transport / Automotive
  • Finance
  • Industry
  • Education
  • Cultural Heritage
SDGs:
  • GOAL 16: Peace, Justice and Strong Institutions
  • GOAL 11: Sustainable Cities and Communities
  • SDGs: General
  • GOAL 09: Industry, Innovation & Infrastructure
  • GOAL 04: Quality Education
  • GOAL 16: Peace, Justice and Strong Institutions
  • GOAL 11: Sustainable Cities and Communities
  • SDGs: General
  • GOAL 09: Industry, Innovation & Infrastructure
  • GOAL 04: Quality Education
In Press
Marc Serramia,  Maite López-Sánchez,  & Juan A. Rodríguez-Aguilar (In Press). Value-aligned AI: Lessons learnt from value-aligned norm selection. Philosophy and Technology. [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]
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. in-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]
Francisco Salas-Molina,  Juan A. Rodríguez-Aguilar,  David Pla-Santamaria,  & Ana García-Bernabeu (2021). On the formal foundations of cash management systems. Operational Research, 1081--1095. [BibTeX]  [PDF]
Jesús Cerquides,  Juan A. Rodríguez-Aguilar,  Rémi Emonet,  & Gauthier Picard (2021). Solving Highly Cyclic Distributed Optimization Problems Without Busting the Bank: A Decimation-based Approach. Logic Journal of the IGPL, 29, 72-95. https://doi.org/10.1093/jigpal/jzaa069. [BibTeX]
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]
Anna Puig,  Inmaculada Rodríguez,  Josep Ll Arcos,  Juan A. Rodríguez-Aguilar,  Sergi Cebrián,  Anton Bogdanovych,  Núria Morera,  Antoni Palomo,  & Raquel Piqué (2020). Lessons learned from supplementing archaeological museum exhibitions with virtual reality. Virtual Reality, 24, 343--358. [BibTeX]  [PDF]
Filippo Bistaffa,  Juan A. Rodríguez-Aguilar,  & Jesús Cerquides (2020). Predicting Requests in Large-Scale Online P2P Ridesharing. arXiv preprint arXiv:2009.02997. [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]
2019
Francisco Salas-Molina,  Juan A. Rodríguez-Aguilar,  & David Pla-Santamaria (2019). Characterizing compromise solutions for investors with uncertain risk preferences. Operational Research, 19, 661--677. [BibTeX]  [PDF]
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]
Jordi Ganzer-Ripoll,  Natalia Criado,  Maite Lopez-Sanchez,  Simon Parsons,  & Juan A. Rodríguez-Aguilar (2019). Combining social choice theory and argumentation: Enabling collective decision making. Group Decision and Negotiation, 28, 127--173. [BibTeX]  [PDF]