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

 Coordinated by IIIA
 Active Learning
 Algebraic logic
 Approximate Reasoning and Soft computing
 Argumentation
 Automated Auctions
 Automated Negotiation
 Automated Reasoning
 Autonomous Robots
 Case-Based Reasoning
 Combinatorial Optimisation
 Computational Creativity
 Computational Ontologies
 Data mining
 Data Privacy
 Deep Learning
 Embodied Cognition
 Expert Systems
 Fuzzy Logic
 Integration of Problem Solving and Learning
 Machine Learning
 Modal Logic
 Multiagent Systems
 Natural Language Processing
 Nonmonotonic Reasoning
 Normative Systems
 Optimisation
 Probabilistic Graphical Models
 Probabilistic Learning
 Probability Logic
 Recommender Systems
 Satisfiability models
 Self-* Systems
 Semantic Alignment
 Social Simulation
 Solving constraint-based problems
 Swarn Computing
 Team Formation
 Time Series Analysis
 Trust and Reputation
 Cultural Heritage
 Culture & Creativity
 Education
 Health
 Industry
 Optimisation
 SDGs
 Smart Cities
 Tourism
 Transport / Automotive
 GOAL 10: Reduced Inequality
 GOAL 11: Sustainable Cities and Communities
 GOAL 13: Climate Action
 GOAL 3: Good Health and Well-being
 GOAL 4: Quality Education
 GOAL 6: Clean Water and Sanitation
 GOAL 7: Affordable and Clean Energy
 GOAL 9: Industry, Innovation and Infrastructure
Adan Beltran Gomez
PhD Student
Phone Ext. 303
Adrià Fenoy
PhD Student
 
Anna Puig Puig
Tenured University Lecturer
Virtual Worlds, Visualisation and Artificial Intelligence Group - Universidad de Barcelona (UB)

 
Athina Georgara
Industrial PhD Student
Phone Ext. 234
Borja Sánchez López
PhD Student
   
Carles Sierra
Research Professor
Phone Ext. 231
Carlos Borrego Iglesias
Tenured University Lecturer
Virtual Worlds, Visualisation and Artificial Intelligence Group - Universidad de Barcelona (UB)

 
Dave de Jonge
Contract Researcher
Phone Ext. 262
Dimitra Bourou
PhD Student
Phone Ext. 201
Filippo Bistaffa
Contract Researcher
Phone Ext. 209
Inmaculada Rodríguez Santiago
Tenured University Lecturer
Virtual Worlds, Visualisation and Artificial Intelligence Group - Universidad de Barcelona (UB)

 
Jeronimo Hernandez-Gonzalez
Lecturer
Virtual Worlds, Visualisation and Artificial Intelligence Group - Universidad de Barcelona (UB)

 
Jianglin Qiao
PhD Student
 
Jordi Sabater-Mir
Tenured Scientist
Phone Ext. 261
Josep Puyol-Gruart
Tenured Scientist
Phone Ext. 210
Juan A. Rodríguez-Aguilar
Research Professor
Phone Ext. 218
Lissette Lemus del Cueto
Contract Engineer
Phone Ext. 259
Maite López-Sánchez
Tenured University Lecturer
Virtual Worlds, Visualisation and Artificial Intelligence Group - Universidad de Barcelona (UB)

Phone Ext. 242
Manel Rodríguez Soto
PhD Student
Phone Ext. 201
Marc Serramià Amorós
PhD Student
Phone Ext. 201
Marco Schorlemmer
Tenured Scientist
Phone Ext. 203
Maria Salamó
Tenured University Lecturer
Virtual Worlds, Visualisation and Artificial Intelligence Group - Universidad de Barcelona (UB)

 
Nardine Osman
Tenured Scientist
Phone Ext. 245
Nieves Montes
PhD Student
 
Pablo Noriega
Tenured Scientist
Phone Ext. 246
Pere Garcia Calvés
Tenured Scientist
Phone Ext. 216
Qurat ul ain Shaheen
PhD Student
 
Roger Xavier Lera Leri
Master Student
 
Sharika Vijayakumar
Master Student
 
Toni Perelló
Ex PhD Student
 
 Active Learning
 Algebraic logic
 Approximate Reasoning and Soft computing
 Argumentation
 Automated Auctions
 Automated Negotiation
 Automated Reasoning
 Autonomous Robots
 Case-Based Reasoning
 Combinatorial Optimisation
 Computational Creativity
 Computational Ontologies
 Data mining
 Data Privacy
 Deep Learning
 Embodied Cognition
 Expert Systems
 Fuzzy Logic
 Integration of Problem Solving and Learning
 Machine Learning
 Modal Logic
 Multiagent Systems
 Natural Language Processing
 Nonmonotonic Reasoning
 Normative Systems
 Optimisation
 Probabilistic Graphical Models
 Probabilistic Learning
 Probability Logic
 Recommender Systems
 Satisfiability models
 Self-* Systems
 Semantic Alignment
 Social Simulation
 Solving constraint-based problems
 Swarn Computing
 Team Formation
 Time Series Analysis
 Trust and Reputation
 Cultural Heritage
 Culture & Creativity
 Education
 Health
 Industry
 Optimisation
 SDGs
 Smart Cities
 Tourism
 Transport / Automotive
 GOAL 10: Reduced Inequality
 GOAL 11: Sustainable Cities and Communities
 GOAL 13: Climate Action
 GOAL 3: Good Health and Well-being
 GOAL 4: Quality Education
 GOAL 6: Clean Water and Sanitation
 GOAL 7: Affordable and Clean Energy
 GOAL 9: Industry, Innovation and Infrastructure
2020
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]
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. [BibTeX]
2019
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]
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]
Dave Jonge,  Tim Baarslag,  Reyhan Aydoğan,  Catholijn Jonker,  Katsuhide Fujita,  & Takayuki Ito (2019). The Challenge of Negotiation in the Game of Diplomacy. Marin Lujak (Eds.), Agreement Technologies 2018, Revised Selected Papers (pp. 100-114). Springer International Publishing. [BibTeX]
Carles Sierra,  Nardine Osman,  Pablo Noriega,  Jordi Sabater-Mir,  & Antoni Perello-Moragues (2019). Value alignment: A formal approach. Responsible Artificial Intelligence Agents Workshop (RAIA) in AAMAS 2019 . [BibTeX]  [PDF]
2018
Manfred Eppe,  Ewen Maclean,  Roberto Confalonieri,  Oliver Kutz,  Marco Schorlemmer,  Enric Plaza,  & Kai-Uwe Kühnberger (2018). A computational framework for conceptual blending. Artificial Intelligence, 256, 105-129. [BibTeX]
Filippo Bistaffa,  & Alessandro Farinelli (2018). A COP Model For Graph-Constrained Coalition Formation. Journal of Artificial Intelligence Research, 62, 133-153. https://doi.org/10.1613/jair.1.11205. [BibTeX]
Filippo Bistaffa,  & Alessandro Farinelli (2018). A COP Model for Graph-Constrained Coalition Formation (Extended Abstract). International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2018) (pp. 5553-5557). AAAI Press. https://doi.org/10.24963/ijcai.2018/783. [BibTeX]
Pham Tran Anh Quang,  Kamal Deep Singh,  Juan A. Rodríguez-Aguilar,  Gauthier Picard,  Kandaraj Piamrat,  Jesús Cerquides,  & César Viho (2018). AD3-GLaM: A Cooperative Distributed QoE-based Approach for SVC Video Streaming over Wireless Mesh Networks. Ad Hoc Networks, 80, 1-15. https://doi.org/10.1016/j.adhoc.2018.07.005. [BibTeX]
Fèlix Bou,  Enric Plaza,  & Marco Schorlemmer (2018). Amalgams, colimits, and conceptual blending. Concept Invention: Foundations, Implementation, Social Aspects and Applications. Springer. https://doi.org/10.1007/978-3-319-65602-1_2. [BibTeX]
Francisco Salas-Molina,  David Pla-Santamaria,  & Juan A. Rodríguez-Aguilar (2018). A multi-objective approach to the cash management problem. Annals of Operations Research, 267, 515-529. https://doi.org/10.1007/s10479-016-2359-1. [BibTeX]
Filippo Bistaffa,  Juan A. Rodríguez-Aguilar,  Jesús Cerquides,  & Christian Blum (2018). A Simulation Tool for Large-Scale Online Ridesharing (Demonstration). International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018) (pp. 1797-1799). IFAAMAS. https://doi.org/https://dl.acm.org/citation.cfm?id=3237981. [BibTeX]