Collectiveware
Collectiveware

Collectiveware
Collectiveware
 : 
Tecnologías para potenciar colectivos humanos en la red eléctrica inteligente
Tecnologías para potenciar colectivos humanos en la red eléctrica inteligente

A Project coordinated by IIIA.

Web page:

Principal investigator: 

Collaborating organisations:

Funding entity:

Ministerio de Economía y Competitividad
Ministerio de Economía y Competitividad

Funding call:

Funding call URL:

Project #:

TIN2015-66863-C2-1-R (MINECO/FEDER)
TIN2015-66863-C2-1-R (MINECO/FEDER)

Total funding amount:

63.646,00€
63.646,00€

IIIA funding amount:

Duration:

01/Jan/2016
01/Jan/2016
31/Dec/2018
31/Dec/2018

Extension date:

Nowadays, information and communication technologies empower individuals’ communication, but are far from exploiting all their collavorative potential. Despite the recent surge of interest in technologies to help individuals collaborate, such as crowdsourcing, they are still in its infancy. And yet, such technologies are core to enable future smart infrastructures for the citizens. Indeed, participation and social innovation are at the heart of the development of emerging infrastructures such as the smart city or the smart grid, which require intensive collaboration within collectives. Here we focus on microgids, localized groupings of electricity resources and loads, which can function autonomously. We target novel technologies that empower human collectives to operate micro-grids to achieve sustainable energy management by supporting their self-awareness, cooperation, and self-governance.

Nowadays, information and communication technologies empower individuals’ communication, but are far from exploiting all their collavorative potential. Despite the recent surge of interest in technologies to help individuals collaborate, such as crowdsourcing, they are still in its infancy. And yet, such technologies are core to enable future smart infrastructures for the citizens. Indeed, participation and social innovation are at the heart of the development of emerging infrastructures such as the smart city or the smart grid, which require intensive collaboration within collectives. Here we focus on microgids, localized groupings of electricity resources and loads, which can function autonomously. We target novel technologies that empower human collectives to operate micro-grids to achieve sustainable energy management by supporting their self-awareness, cooperation, and self-governance.

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]
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]
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]
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]
2018
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]
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]  [PDF]
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]
José Luis Fernández-Martínez,  Maite Lopez-Sanchez,  Juan A. Rodríguez-Aguilar,  Dionisio Sánchez Rubio,  & Berenice Zambrano Nemegyei (2018). Co-Designing Participatory Tools for a New Age: A Proposal for Combining Collective and Artificial Intelligences. International Journal of Public Administration in the Digital Age (IJPADA), 5, 1--17. [BibTeX]  [PDF]
Francisco Salas-Molina,  & Juan A. Rodríguez-Aguilar (2018). Data-driven multiobjective decision-making in cash management. European Journal on Decision Processes, 6, 77-91. https://doi.org/10.1007/s40070-017-0075-y. [BibTeX]
Marc Pujol-Gonzalez,  Jesus Cerquides,  Pedro Meseguer,  Juan A. Rodríguez-Aguilar,  & Milind Tambe (2018). Decentralized dynamic task allocation for UAVs with limited communication range. arXiv preprint arXiv:1809.07863. [BibTeX]  [PDF]
Jesús Cerquides,  Rémi Emonet,  Gauthier Picard,  & Juan A. Rodríguez-Aguilar (2018). DeciMaxSum: Décimer pour résoudre des DCOP cycliques plus efficacement. 26emes Journées Francophones sur les Systèmes Multi-Agents (JSFMA 2018) . [BibTeX]
Jesus Cerquides,  Rémi Emonet,  Gauthier Picard,  & Juan A. Rodríguez-Aguilar (2018). Decimaxsum: Décimer pour résoudre des dcop cycliques plus efficacement. In Journées Francophones sur les Systèmes Multi-Agents. . [BibTeX]
Jesús Cerquides,  Rémi Emonet,  Gauthier Picard,  & Juan A. Rodríguez-Aguilar (2018). DeciMaxSum: Using decimation to improve max-sum on cyclic DCOPs. Artificial Intelligence Research and Development (pp 27-36). IOS Press. [BibTeX]
Francisco Salas-Molina,  Juan A. Rodríguez-Aguilar,  Joan Serrà,  Montserrat Guillén,  & Francisco Martin (2018). Empirical analysis of daily cash flow time-series and its implications for forecasting. SORT-Statistics and Operation Research Transactions, 42, 73-98. [BibTeX]
Francisco Salas-Molina,  David Pla-Santamaria,  & Juan A. Rodríguez-Aguilar (2018). Empowering Cash Managers Through Compromise Programming. Financial Decision Aid Using Multiple Criteria. Springer, Cham. https://doi.org/10.1007/978-3-319-68876-3_7. [BibTeX]
Maite López-Sánchez,  Marc Serramia,  Juan A. Rodríguez-Aguilar,  Javier Morales,  Michael Wooldridge,  & Carlos Ansótegui (2018). Exploiting moral values to choose the right norms. AAAI/ACM Conference on Artificial Intelligence, Ethics and Society . AAAI/ACM. [BibTeX]
Christian Blum (2018). ILP-Based Reduced Variable Neighborhood Search for Large-Scale Minimum Common String Partition. Electronic Notes in Discrete Mathematics, 66, 15-22. https://doi.org/10.1016/j.endm.2018.03.003. [BibTeX]
Marc Serramia,  Maite López-Sánchez,  Juan A. Rodríguez-Aguilar,  Manel Rodríguez Soto,  Michael Wooldridge,  Javier Morales,  & Carlos Ansótegui (2018). Moral Values in Norm Decision Making. International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018) . IFAAMAS. [BibTeX]
Javier Morales,  Michael Wooldridge,  Juan A. Rodríguez-Aguilar,  & Maite López-Sánchez (2018). Off-line Synthesis of Evolutionarily Stable Normative Systems. Autonomous Agents and Multi-agent Systems, 32, 635-671. [BibTeX]
Francisco Salas-Molina,  Juan A. Rodríguez-Aguilar,  & Pablo Díaz-García (2018). Selecting cash management models from a multiobjective perspective. Annals of Operations Research, 261, 275-288. [BibTeX]
Ewa Andrejczuk,  Rita Berger,  Carles Sierra,  Juan A. Rodríguez-Aguilar,  & Víctor Marín-Puchades (2018). The Composition and Formation of Effective Teams. Computer Science meets Psychology. The Knowledge Engineering Review, 33. https://doi.org/10.1017/S026988891800019X. [BibTeX]
2017
Ewa Andrejczuk,  Juan A. Rodríguez-Aguilar,  & Carles Sierra (2017). A concise review on multi-agent teams: contributions and research opportunities. Multi-Agent Systems and Agreement Technologies. EUMAS 2016, AT 2016 (pp 31-39). Springer-Verlag. [BibTeX]
Filippo Bistaffa,  Alessandro Farinelli,  Juan A. Rodríguez-Aguilar,  Jesús Cerquides,  & Sarvapali D. Ramchurn (2017). Algorithms for Graph-Constrained Coalition Formation in the Real World. ACM Transactions on Intelligent Systems, 8, 1-24. https://doi.org/10.1145/3040967. [BibTeX]
Jordi Ganzer-Ripoll,  Maite López-Sánchez,  & Juan A. Rodríguez-Aguilar (2017). A multi-agent argumentation framework to support collective reasoning. COREDEMA 2016. Springer International Publishing AG. [BibTeX]
Jordi Ganzer-Ripoll,  Maite López-Sánchez,  & Juan A. Rodríguez-Aguilar (2017). A target-oriented discussion framework to support collective decision making. Multi-Agent Systems and Agreement Technologies. 14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers. Springer. http://www.springer.com/gp/book/9783319592930. [BibTeX]
Maite López-Sánchez,  Marc Serramia,  Juan A. Rodríguez-Aguilar,  Javier Morales,  & Michael Wooldridge (2017). Automating decision making to help establish norm-based regulations. CoRR, abs/1703.09087. [BibTeX]
Maite López-Sánchez,  Marc Serramia,  Juan A. Rodríguez-Aguilar,  Javier Morales,  & Michael Wooldridge (2017). Automating decision making to help establish norm-based regulations. Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (pp. 1613-1615). [BibTeX]
Francisco Salas-Molina,  Juan A. Rodríguez-Aguilar,  & David Pla-Santamaria (2017). Characterizing compromise solutions for investors with uncertain risk preferences. Operational Research: An International Journal. [BibTeX]
Francisco Cruz,  Jesús Cerquides,  Juan A. Rodríguez-Aguilar,  Antonio Espinosa,  Juan Carlos Moure,  Sarvapali D. Ramchurn,  & Kim Svensson (2017). Coalition Structure Generation Problems: parallelization of the IDP algorithm in multicore systems. Concurrency and computation: Practice and experience. https://doi.org/10.1002/cpe.3969. [BibTeX]
Francisco Salas-Molina,  Francisco Martin,  Juan A. Rodríguez-Aguilar,  Joan Serrà,  & Josep Lluis Arcos (2017). Empowering cash managers to achieve cost savings by improving predictive accuracy. International Journal of Forecasting, 33, 403-415. http://dx.doi.org/10.1016/j.ijforecast.2016.11.002. [BibTeX]
Javier Morales,  Michael Wooldridge,  Juan A. Rodríguez-Aguilar,  & Maite López-Sánchez (2017). Evolutionary Synthesis of Stable Normative Systems. Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (pp. 1646-1648). [BibTeX]
Jesús Cerquides,  Rémi Emonet,  Gauthier Picard,  & Juan A. Rodríguez-Aguilar (2017). Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems. arXiv preprint arXiv:1706.02209. [BibTeX]  [PDF]
Ewa Andrejczuk,  Juan A. Rodríguez-Aguilar,  Carme Roig,  & Carles Sierra (2017). Synergistic Team Composition. Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2017) (pp. 1463-1465). [BibTeX]
Martin Nettling,  Henrik Treutler,  Jesús Cerquides,  & Ivo Grosse (2017). Unrealistic phylogenetic trees may improve phylogenetic footprinting. Bioinformatics. [BibTeX]
2016
Marc Serramia,  Maite López-Sánchez,  & Juan A. Rodríguez-Aguilar (2016). Aggregation operators to compute norm support in virtual communities. The 10th Workshop on Advances in Preference Handling . http://www.mpref-2016.preflib.org/program/. [BibTeX]
Juan A. Rodríguez-Aguilar,  Marc Serramia,  & Maite López-Sánchez (2016). Aggregation operators to support collective reasoning. Modeling Decisions for Artificial Intelligence (pp 3-14). [BibTeX]
Jordi Ganzer-Ripoll,  Maite López-Sánchez,  & Juan A. Rodríguez-Aguilar (2016). A target-oriented discussion framework to support collective decision making. Proceedings of the International Conference on Agreement Technologies. Springer-Verlag. [BibTeX]
Martin Nettling,  Hendrik Treutler,  Jesús Cerquides,  & Ivo Grosse (2016). Detecting and correcting the binding-affinity bias in ChIP-seq data using inter-species information. BMC Genomics, 17, 347. https://doi.org/10.1186/s12864-016-2682-6. [BibTeX]
Francisco Salas-Molina,  Francisco Martin,  Juan A. Rodríguez-Aguilar,  Joan Serrà,  & Josep Lluis Arcos (2016). Empowering cash managers to achieve cost savings by improving predictive accuracy. arXiv:1605.04219 [q-fin.GN]. [BibTeX]
Jesus Cerquides
Scientific Researcher
Phone Ext. 431859

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