Social Choice on Social Networks (SCONE)
ANR JCJC Project ANR-18-CE23-0009-01
This project starts from the observation that collective decision methods, as traditionally studied in the field of (computational) social choice, do not take into account the existence of a network relating the decision-makers. The objective of this project is the conception of algorithms for opinion diffusion and vote computation in the presence of a social network, and its assessment in terms of computational and communication complexity, axiomatic properties, including game-theoretic ones such as resistance to strategic actions by voters or external agents.
Duration: 2019-2022
Permanent members from IRIT, University of Toulouse:
- Umberto Grandi (principal investigator)
- Emiliano Lorini
- Laurent Perrussel
- Rachael Colley, PhD student
- Loujain Liekah, intern from Master in Machine Learning and Data Mining, Université Jean Monnet, 2019.
12 November 2019: Workshop in knowledge representation for collective decision making + Kick-off talk of ANR SCONE Project.
13 May 2019: Tutorial on Social Choice and Mechanism Design on Social Networks, International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2019)
Loujayn Layka. Multiagent Reinforcement Learning for Iterative Voting. Master thesis. 2019. (manuscript)
Sirin Botan, Umberto Grandi and Laurent Perrussel. Multi-Issue Opinion Diffusion under Constraints. In Proceedings of the 18th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019.
