Multiagent Systems

The Multi-Agent Systems (MAS) group at IIIA-CSIC carries out scientific research of excellence in areas that are central to autonomous agents and multi-agent systems: computational models of negotiation, control and organisation, trust and reputation, optmisation, semantics, and recommender systems. It positons itself at the intersecton of CSIC's global areas SOCIETY and MATTER through interdisciplinary research of high socio-economic impact. The goals of the group are governed by an approach to AI focused on human beings, developing computer systems that are aligned with the ethical and social values of the communites that use them, empowering people in the interactions mediated by these systems, respecting and fostering diversity, and exploring new forms of collaboraton.

Head of the Group:  Marco Schorlemmer
Adan Beltran Gomez
PhD Student
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Filippo Bistaffa
Contract Researcher
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Carlos Borrego Iglesias
Tenured University Lecturer

Dimitra Bourou
PhD Student
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Dave de Jonge
Contract Researcher
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Adrià Fenoy
PhD Student

Pere Garcia Calvés
Tenured Scientist
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Athina Georgara
Industrial PhD Student
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Aitor Gonzalez
Masters Student
Ignacio Huitzil
Contract Engineer
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Lissette Lemus del Cueto
Contract Engineer
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Roger Xavier Lera Leri
Masters Student

Maite López-Sánchez
Tenured University Lecturer
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Nieves Montes
PhD Student

Pablo Noriega
Tenured Scientist
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Nardine Osman
Tenured Scientist
Phone Ext. 245

Anna Puig Puig
Tenured University Lecturer

Josep Puyol-Gruart
Tenured Scientist
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Jianglin Qiao
PhD Student

Juan A. Rodríguez-Aguilar
Research Professor
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Inmaculada Rodríguez Santiago
Tenured University Lecturer

Manel Rodríguez Soto
PhD Student
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Jordi Sabater-Mir
Tenured Scientist
Phone Ext. 261

Maria Salamó
Tenured University Lecturer

Marco Schorlemmer
Tenured Scientist
Phone Ext. 203

Marc Serramià Amorós
PhD Student
Phone Ext. 201

Carles Sierra
Research Professor
Phone Ext. 231

Sharika Vijayakumar
Masters Student

In Press
Filippo Bistaffa,  Georgios Chalkiadakis,  & Alessandro Farinelli (In Press). Efficient Coalition Structure Generation via Approximately Equivalent Induced Subgraph Games. IEEE Transactions on Cybernetics. https://doi.org/10.1109/TCYB.2020.3040622. [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]
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. https://doi.org/10.3390/math9080875. [BibTeX]  [PDF]
Jaume Agustí-Cullell,  & Marco Schorlemmer (2021). A Humanist Perspective on Artificial Intelligence. Comprendre, 23, 99--125. [BibTeX]
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]
Antoni Perello-Moragues,  Manel Poch,  David Sauri,  Lucia Alexandra Popartan,  & Pablo Noriega (2021). Modelling Domestic Water Use in Metropolitan Areas Using Socio-Cognitive Agents. Water, 13. https://doi.org/10.3390/w13081024. [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]
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]
Nieves Montes,  & Carles Sierra (2021). Value-Alignment Equilibrium in Multiagent Systems. Fredrik Heintz, Michela Milano, & Barry O'Sullivan (Eds.), Trustworthy AI - Integrating Learning, Optimization and Reasoning (pp 189--204). Springer International Publishing. https://doi.org/10.1007/978-3-030-73959-1_17. [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. https://doi.org/https://dl.acm.org/doi/10.5555/3463952.3464060. [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]
Jerónimo Hernández-González,  & Jesús Cerquides (2020). A Robust Solution to Variational Importance Sampling of Minimum Variance. Entropy, 22, 1405. https://doi.org/10.3390/e22121405. [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]
Nardine Osman,  Carles Sierra,  Ronald Chenu-Abente,  Qiang Shen,  & Fausto Giunchiglia (2020). Open Social Systems. Nick Bassiliades, Georgios Chalkiadakis, & Dave Jonge (Eds.), Multi-Agent Systems and Agreement Technologies (pp. 132--142). Springer International Publishing. [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]
Dave de Jonge,  & Dongmo Zhang (2020). Strategic negotiations for extensive-form games. Autonomous Agents and Multi-Agent Systems, 34. https://doi.org/10.1007/s10458-019-09424-y. [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]
Jesús Vega,  M. Ceballos,  Josep Puyol-Gruart,  Pere García,  B. Cobo,  & F. J. Carrera (2020). TES X-ray pulse identification using CNNs. ADASS XXX . [BibTeX]  [PDF]
Marta Poblet,  & Carles Sierra (2020). Understanding Help as a Commons. International Journal of the Commons, 14, 281--493. https://doi.org/http://doi.org/10.5334/ijc.1029. [BibTeX]  [PDF]
Antoni Perello-Moragues,  & Pablo Noriega (2020). Using Agent-Based Simulation to Understand the Role of Values in Policy-Making. Harko Verhagen, Melania Borit, Giangiacomo Bravo, & Nanda Wijermans (Eds.), Advances in Social Simulation (pp. 355--369). Springer International Publishing. [BibTeX]
Paula Chocron,  & Marco Schorlemmer (2020). Vocabulary Alignment in Openly Specified Interactions. Journal of Artificial Intelligence Research, 68, 69--107. https://doi.org/10.1613/jair.1.11497. [BibTeX]
2019
Mariela Morveli Espinoza,  J.C. Nieves,  A. Possebom,  Josep Puyol-Gruart,  & C.A. Tacla (2019). An argumentation-based approach for identifying and dealing with incompatibilities among procedural goals. International Journal of Approximate Reasoning, 105, 1 - 26. https://doi.org/10.1016/j.ijar.2018.10.015. [BibTeX]
Mariela Morveli Espinoza,  Ayslan Trevizan Possebom,  Josep Puyol-Gruart,  & C.A Tacla (2019). Argumentation-based intention formation process. DYNA, 86, 82 - 91. https://doi.org/http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532019000100082&nrm=iso. [BibTeX]
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]
Karla Trejo,  Pere García,  & Josep Puyol-Gruart (2019). Metadata Generation for Multi-Text Classification in Structured Data. Artificial Intelligence Research and Development (pp. 417-421). [BibTeX]
Antoni Perello-Moragues,  Pablo Noriega,  & Manel Poch (2019). Modelling Contingent Technology Adoption in Farming Irrigation Communities. Journal of Artificial Societies and Social Simulation, 22, 1. https://doi.org/10.18564/jasss.4100. [BibTeX]  [PDF]
Francisco Salas-Molina,  Juan A. Rodríguez-Aguilar,  David Pla-Santamaria,  & Ana García-Bernabeu (2019). On the formal foundations of cash management systems. Operational Research, 1--15. [BibTeX]  [PDF]
Inmaculada Rodriguez,  Anna Puig,  Juan A. Rodríguez-Aguilar,  Josep Lluis Arcos,  Sergi Cebrián,  Anton Bogdanovych,  Núria Morera,  Raquel Piqué,  & Antoni Palomo (2019). On the Relationship between Subjective and Objective Measures of Virtual Reality Experiences: a Case Study of a Serious Game. International Symposium on Gamification and Games for Learning (GamiLearn 2019) . CEUR-WS.org. [BibTeX]
Francisco Salas-Molina,  Juan A. Rodríguez-Aguilar,  & David Pla-Santamaria (2019). On the use of multiple criteria distance indexes to find robust cash management policies. INFOR: Information Systems and Operational Research, 57, 345-360. https://doi.org/10.1080/03155986.2017.1282291. [BibTeX]
Marc Serramia,  Maite López-Sánchez,  Juan A. Rodríguez-Aguilar,  & Patricio Escobar (2019). Optimising Participatory Budget Allocation: The Decidim Use Case. Artificial Intelligence Research and Development (pp 193-202). IOS Press. https://doi.org/10.3233/FAIA190124. [BibTeX]
Juan Carlos Teze,  Antoni Perelló-Moragues,  Lluís Godo,  & Pablo Noriega (2019). Practical reasoning using values: an argumentative approach based on a hierarchy of values. Annals of Mathematics and Artificial Intelligence, 293-319. https://doi.org/10.1007/s10472-019-09660-8. [BibTeX]  [PDF]
Ewa Andrejczuk,  Filippo Bistaffa,  Christian Blum,  Juan A. Rodríguez-Aguilar,  & Carles Sierra (2019). Synergistic team composition: A computational approach to foster diversity in teams. Knowledge-Based Systems, 182. https://doi.org/10.1016/j.knosys.2019.06.007. [BibTeX]