Interaction and Expressivity in Collective Decision-Making

Umberto Grandi

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Early Career. Pages 5813-5815.

https://doi.org/10.24963/ijcai.2022/816

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Abstract

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
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