SDGs: General
SDGs: General
Rodríguez Soto,  Marc Serramia,  Maite López-Sánchez,  & Juan A. Rodríguez-Aguilar<code> (2022). Instilling moral value alignment by means of multi-objective reinforcement learning. Ethics and Information Technology, 24. [BibTeX]  [PDF]
Jesus Cerquides,  Oguz Mulayim,  Jerónimo Hernández-González,  Amudha Ravi Shankar,  & Jose Luis Fernandez-Marquez (2021). A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data. Mathematics, 9. [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. [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]
Nieves Montes (2021). Value Engineering for Autonomous Agents -- Position Paper. [BibTeX]  [PDF]
Nieves Montes,  & Carles Sierra (2021). Value-Guided Synthesis of Parametric Normative Systems. Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (pp. 907–915). International Foundation for Autonomous Agents and Multiagent Systems. [BibTeX]  [PDF]