DagRep.9.9.45.pdf
- Filesize: 4.34 MB
- 21 pages
Document
Application-Oriented Computational Social Choice (Dagstuhl Seminar 19381)
Authors and all authors of the abstracts in this report
-
Part of:
Issue:
Dagstuhl Reports, Volume 9, Issue 9
Volume: Dagstuhl Reports, Volume 9
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2020-02-19
Cite AsGet BibTex
Umberto Grandi, Stefan Napel, Rolf Niedermeier, and Kristen Brent Venable. Application-Oriented Computational Social Choice (Dagstuhl Seminar 19381). In Dagstuhl Reports, Volume 9, Issue 9, pp. 45-65, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/DagRep.9.9.45
https://doi.org/10.4230/DagRep.9.9.45
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 19381 ``Application-Oriented Computational Social Choice''.
The seminar was organised around four focus topics: group recommender systems, fair allocation, electoral systems, and interactive democracy. For each topic, an invited survey was given by one of the participants.
26 participants presented their research in a regular talk, and two rump sessions allowed other participants to present their ongoing work and open problems in short talks. A special session was dedicated to software demonstrations, and 3 voting experiments were run during the seminar, also thanks to a mobile experimental laboratory that was brought to Dagstuhl. Finally, three afternoons were dedicated to group works.
Keywords
- ai for the social good
- collective decision making
- multi-agent systems
- social choice
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads