Interaction and Expressivity in Collective Decision-Making
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
Early Career. Pages 5813-5815.
https://doi.org/10.24963/ijcai.2022/816
Collective decisions among human and artificial agents can be enhanced by allowing for more interaction among decision-makers and by letting them express more information about their preferences.
In this paper I present ongoing research on two settings: iterative voting, which repeatedly applies a voting rule until decision-makers converge to an outcome, and delegative voting on multiple issues.
Keywords:
EC: Agent-based And Multi-agent Systems
EC: Knowledge Representation And Reasoning
EC: Game Theory And Economic Paradigms