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CORDIS

Collectiveware: Highly-parallel algorithms for collective intelligence

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

A COP Model For Graph-Constrained Coalition Formation (opens in new window)

Author(s): Filippo Bistaffa, Alessandro Farinelli
Published in: Journal of Artificial Intelligence Research, Issue 62, 2018, Page(s) 133-153, ISSN 1076-9757
Publisher: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.11205

Synergistic team composition: A computational approach to foster diversity in teams (opens in new window)

Author(s): Ewa Andrejczuk, Filippo Bistaffa, Christian Blum, Juan A. Rodríguez-Aguilar, and Carles Sierra
Published in: Knowledge-Based Systems, Issue 182, 2019, Page(s) 104799, ISSN 0950-7051
Publisher: Elsevier BV
DOI: 10.1016/j.knosys.2019.06.007

A cooperative game-theoretic approach to the social ridesharing problem (opens in new window)

Author(s): Filippo Bistaffa, Alessandro Farinelli, Georgios Chalkiadakis, Sarvapali D. Ramchurn
Published in: Artificial Intelligence, Issue 246, 2017, Page(s) 86-117, ISSN 0004-3702
Publisher: Elsevier BV
DOI: 10.1016/j.artint.2017.02.004

A Simulation Tool for Large-Scale Online Ridesharing

Author(s): Filippo Bistaffa, Juan Rodríguez-Aguilar, Jesús Cerquides, Christian Blum
Published in: AAMAS '18 Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018, Page(s) 1797-1799
Publisher: International Foundation for Autonomous Agents and Multiagent Systems

Solving the Synergistic Team Composition Problem

Author(s): Ewa Andrejczuk, Filippo Bistaffa, Christian Blum, Juan A. Rodríguez-Aguilar, Carles Sierra
Published in: AAMAS '18 Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018, Page(s) 1853-1855
Publisher: International Foundation for Autonomous Agents and Multiagent Systems

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