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Communication Dans Un Congrès Année : 2022

Itero: An Online Iterative Voting Application (demo track)

Joseph Boudou
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Rachael Colley
Umberto Grandi

Résumé

Iterative voting allows a group of agents to take a collective decision in a dynamic fashion: a series of plurality elections are staged, making the relative scores of the candidates public after each round. Voters can thus adjust their ballots at each step until the process converges (or a maximal number of steps is reached). Research in computational social choice has shown that this method has the potential of reaching good-quality decisions while at the same time being easy to explain to voters. This paper presents our implementation of iterative voting on a voting platform accessible on the web.
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Dates et versions

hal-03858783 , version 1 (17-11-2022)

Identifiants

Citer

Joseph Boudou, Rachael Colley, Umberto Grandi. Itero: An Online Iterative Voting Application (demo track). 31st International Joint Conference on Artificial Intelligence (IJCAI 2022), International Joint Conferences on Artifical Intelligence (IJCAI), Jul 2022, Vienna, Austria. pp.5896-5899, ⟨10.24963/ijcai.2022/848⟩. ⟨hal-03858783⟩
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