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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, optimisation, semantics, and recommender systems. It positions itself at the intersection 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 communities that use them, empowering people in the interactions mediated by these systems, respecting and fostering diversity, and exploring new forms of collaboration.

Head of the Group:  Marco Schorlemmer
Davide Audrito
PhD Student

Filippo Bistaffa
Contract Researcher
Phone Ext. 431849

Dimitra Bourou
PhD Student
Phone Ext. 431832

Pompeu Casanovas Romeu
Research Professor

Olena Chebanyuk
Contract Researcher

Dave de Jonge
Contract Researcher
Phone Ext. 431825

Mark d'Inverno
Adjunct Scientist

Thiago Freitas Dos Santos
PhD Student
Phone Ext. 201

Roger Xavier Lera Leri
PhD Student
Phone Ext. 431834

Zhou Long
Visiting Scientist

Alejandra López de Aberasturi Gómez
PhD Student
Phone Ext. 431831

Nieves Montes
PhD Student
Phone Ext. 431831

Pablo Noriega
Científico Ad Honorem
Phone Ext. 431829

Nardine Osman
Tenured Scientist
Phone Ext. 431826

Shuxian Pan
PhD Student
Phone Ext. 431832

Manel Poch Espallargues
Visiting Professor
Israel Puerta Merino
Masters Student

Josep Puyol-Gruart
Tenured Scientist
Phone Ext. 431842

Juan A. Rodríguez-Aguilar
Research Professor
Phone Ext. 431861

Manel Rodríguez Soto
Contract Researcher
Phone Ext. 431832

Gerard Rovira Parra
Industrial PhD Student
Phone Ext. 431835

Jordi Sabater-Mir
Tenured Scientist
Phone Ext. 431856

Marco Schorlemmer
Tenured Scientist
Phone Ext. 431858

Carles Sierra
Research Professor
Phone Ext. 431801

In Press
Nardine Osman,  Ronald Chenu-Abente,  Qiang Shen,  Carles Sierra,  & Fausto Giunchiglia (In Press). Empowering Users in Online Open Communities. SN Computer Science. [BibTeX]  [PDF]
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]
Thiago Freitas Santos,  Nardine Osman,  & Marco Schorlemmer (2023). A multi-scenario approach to continuously learn and understand norm violations. Autonomous Agents and Multi-Agent Systems, 37, 38. https://doi.org/10.1007/s10458-023-09619-4. [BibTeX]
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]
Dimitra Bourou,  Marco Schorlemmer,  & Enric Plaza (2023). An Image-Schematic Analysis of Hasse and Euler Diagrams. Maria M. Hedblom, & Oliver Kutz (Eds.), Proceedings of The Seventh Image Schema Day co-located with The 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023), Rhodes, Greece, September 2nd, 2023 . CEUR-WS.org. https://doi.org/https://ceur-ws.org/Vol-3511/paper\_05.pdf. [BibTeX]
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]
Pablo Noriega,  & Enric Plaza (2023). The Use of Agent-based Simulation of Public Policy Design to Study the Value Alignment Problem. Proc. AIGEL 2022 Artificial Intelligence Governance Ethics and Law Workshop 2022 . CEUR-WS. https://doi.org/https://ceur-ws.org/Vol-3531/SPaper_10.pdf. [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
Nieves Montes,  Nardine Osman,  & Carles Sierra (2022). A computational model of Ostrom's Institutional Analysis and Development framework. Artificial Intelligence, 311, 103756. https://doi.org/10.1016/j.artint.2022.103756. [BibTeX]  [PDF]
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]
Pol Alexandra Popartan,  Toni Perello-Moragues,  Pablo Noriega,  David Sauri,  Manel Poch,  & Maria Molinos-Senante (2022). Agent-based modelling to simulate the socio-economic effects of implementing time-of-use tariffs for domestic water. Sustainable Cities and Society, 86, 104118. https://doi.org/10.1016/j.scs.2022.104118. [BibTeX]  [PDF]
Jianglin Qiao,  Dave de Jonge,  Dongmo Zhang,  Carles Sierra,  & Simeon Simoff (2022). A Hybrid Model of Traffic Assignment and Control for Autonomous Vehicles. Reyhan Aydogan, Natalia Criado, Jerôme Lang, Victor Sanchez-Anguix, & Marc Serramia (Eds.), {PRIMA}2022: Principles and Practice of Multi-Agent Systems - 24th International Conference, Valencia, Spain, November 16-18, 2022, Proceedings (pp. 208--226). Springer. https://doi.org/10.1007/978-3-031-21203-1\_13. [BibTeX]
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]
Dave de Jonge (2022). An Analysis of the Linear Bilateral {ANAC}Domains Using the {M}i{CRO}Benchmark Strategy. Luc Raedt (Eds.), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, {IJCAI}2022, Vienna, Austria, 23-29 July 2022 (pp. 223--229). ijcai.org. https://doi.org/10.24963/ijcai.2022/32. [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]
Eric Roselló-Marín,  Maite López-Sánchez,  Inmaculada Rodríguez Santiago,  Manel Rodríguez Soto,  & Juan A. Rodríguez-Aguilar (2022). An Ethical Conversational Agent to Respectfully Conduct In-Game Surveys. Artificial Intelligence Research and Development (pp 335--344). IOS Press. [BibTeX]  [PDF]
Georgina Curto,  Nieves Montes,  Carles Sierra,  Nardine Osman,  & Flavio Comim (2022). A norm optimisation approach to {SDGs}: tackling poverty by acting on discrimination. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence . International Joint Conferences on Artificial Intelligence Organization. https://doi.org/10.24963/ijcai.2022/726. [BibTeX]
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]
Nieves Montes,  Nardine Osman,  & Carles Sierra (2022). Combining Theory of~Mind and~Abduction for~Cooperation Under Imperfect Information. Multi-Agent Systems (pp 294--311). Springer International Publishing. https://doi.org/10.1007/978-3-031-20614-6_17. [BibTeX]  [PDF]
Pablo Noriega,  Harko Verhagen,  Julian Padget,  & Mark d'Inverno (2022). Design Heuristics for Ethical Online Institutions. Nirav Ajmeri, Andreasa Morris Martin, & Bastin Tony Roy Savarimuthu (Eds.), Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV (pp. 213--230). Springer International Publishing. [BibTeX]  [PDF]
Pompeu Casanovas,  & Pablo Noriega (2022). Dilemmas in Legal Governance. JOAL, 10, 1-.20. https://doi.org/https://ojs.law.cornell.edu/index.php/joal/article/view/122. [BibTeX]  [PDF]
Filippo Bistaffa,  Georgios Chalkiadakis,  & Alessandro Farinelli (2022). Efficient Coalition Structure Generation via Approximately Equivalent Induced Subgraph Games. IEEE Transactions on Cybernetics, 52, 5548-5558. https://doi.org/10.1109/TCYB.2020.3040622. [BibTeX]  [PDF]
Dimitra Bourou,  Marco Schorlemmer,  & Enric Plaza (2022). Embodied Sense-Making of Diagrams as Conceptual Blending with Image Schemas. Maria M. Hedblom, & Oliver Kutz (Eds.), Proceedings of the Sixth Image Schema Day, Jönköping, Sweden, March 24-25th, 2022 . CEUR-WS.org. [BibTeX]  [PDF]
Nieves Montes (2022). Engineering Pro-social Values in~Autonomous Agents - Collective and~Individual Perspectives. Multi-Agent Systems (pp 431--434). Springer International Publishing. https://doi.org/10.1007/978-3-031-20614-6_26. [BibTeX]  [PDF]
Nieves Montes (2022). Engineering Socially-Oriented Autonomous Agents and Multiagent Systems. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence . International Joint Conferences on Artificial Intelligence Organization. https://doi.org/10.24963/ijcai.2022/833. [BibTeX]
Thiago Freitas Dos Santos,  Nardine Osman,  & Marco Schorlemmer (2022). Ensemble and Incremental Learning for Norm Violation Detection. Piotr Faliszewski, Viviana Mascardi, Catherine Pelachaud, & Matthew E. Taylor (Eds.), 21st International Conference on Autonomous Agents and Multiagent Systems, {AAMAS}2022, Auckland, New Zealand, May 9-13, 2022 (pp. 427--435). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). https://doi.org/10.5555/3535850.3535899. [BibTeX]
Dimitra Bourou,  Marco Schorlemmer,  & Enric Plaza (2022). Euler vs Hasse Diagrams for Reasoning About Sets: A Cognitive Approach. Valeria Giardino, Sven Linker, Richard Burns, Francesco Bellucci, Jean-Michel Boucheix, & Petrucio Viana (Eds.), Diagrammatic Representation and Inference - 13th International Conference, Diagrams 2022, Rome, Italy, September 14-16, 2022, Proceedings (pp. 151--167). Springer. https://doi.org/10.1007/978-3-031-15146-0_13. [BibTeX]
Jesús Vega,  M. T. Ceballos,  B. Cobo,  F. J. Carrera,  Pere Garcia Calvés,  & Josep Puyol-Gruart (2022). Event Detection and Reconstruction Using Neural Networks in TES Devices: a Case Study for Athena/X-IFU. Publications of the Astronomical Society of the Pacific, 134, 024504. https://doi.org/10.1088/1538-3873/ac5159. [BibTeX]  [PDF]
Dave de Jonge,  & Dongmo Zhang (2022). {GDL}as a Unifying Domain Description Language for Declarative Automated Negotiation. Piotr Faliszewski, Viviana Mascardi, Catherine Pelachaud, & Matthew E. Taylor (Eds.), 21st International Conference on Autonomous Agents and Multiagent Systems, {AAMAS}2022, Auckland, New Zealand, May 9-13, 2022 (pp. 1935--1937). International Foundation for Autonomous Agents and Multiagent Systems {(IFAAMAS)}. https://doi.org/10.5555/3535850.3536158. [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]
Pablo Noriega,  & Pompeu Casanovas (2022). La Gobernanza de los Sistemas Artificiales Inteligentes. Olivia Velarde Hermida, & Manuel Martin Serrano (Eds.), Mirando hacia el futuro. Cambios sociohistoricos vinculados a la virtualizacion (pp 115-143). Centro de Investigaciones Sociologicas. [BibTeX]  [PDF]
Dave de Jonge,  Filippo Bistaffa,  & Jordi Levy (2022). Multi-Objective Vehicle Routing with Automated Negotiation. Applied Intelligence, 52, 16916-16939. https://doi.org/10.1007/s10489-022-03329-2. [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]
Alejandra Aberasturi Gómez,  Jordi Sabater-Mir,  & Carles Sierra (2022). Probabilistic Models for Competence Assessment in Education. Applied Sciences, 12. https://doi.org/10.3390/app12052368. [BibTeX]  [PDF]