SGR
: Ajuts a Groups de Recerca Consolidats
A Project coordinated by IIIA.
Principal investigator:
Collaborating organisations:
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]
Marco Schorlemmer,
& Enric Plaza
(2021).
A Uniform Model of Computational Conceptual Blending.
Cognitive Systems Research, 65, 118--137.
https://doi.org/10.1016/j.cogsys.2020.10.003.
[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]
2020
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]
2019
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]
2018
Francisco Salas-Molina,
Juan A. Rodríguez-Aguilar,
& David Pla-Santamaria
(2018).
Boundless multiobjective models for cash management.
The Engineering Economist, 63, 363-381.
https://doi.org/10.1080/0013791X.2018.1456596.
[BibTeX]
[PDF]
