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Communication Dans Un Congrès Année : 2018

Accountable Approval Sorting

Résumé

We consider decision situations in which a set of points of view (voters, criteria) are to sort a set of candidates to ordered classes (GOOD / BAD). Candidates are judged GOOD when approved by a sufficient set of points of view; this corresponds to noncompensatory sorting. To be accountable, such approval sorting should provide guarantees about the decision process and decisions concerning specific candidates. We formalize accountability using a feasibility problem expressed as a boolean satisfi-ability formulation. We illustrate different forms of accountability when a committee decides with approval sorting and study the information that should be disclosed by the committee.
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Dates et versions

hal-01785011 , version 1 (01-06-2018)

Identifiants

  • HAL Id : hal-01785011 , version 1

Citer

Khaled Belahcene, Yann Chevaleyre, Nicolas Maudet, Christophe Labreuche, Vincent Mousseau, et al.. Accountable Approval Sorting. 27th International Joint Conference on Artificial Intelligence and 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Jul 2018, Stockholm, Sweden. ⟨hal-01785011⟩
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