Social Ranking under Incomplete Knowledge: Elicitation of the Lex-cel Necessary Winners - Université Paris Dauphine
Communication Dans Un Congrès Année : 2024

Social Ranking under Incomplete Knowledge: Elicitation of the Lex-cel Necessary Winners

Résumé

In this paper, we introduce two elicitation approaches for the determination of lex-cel necessary winners (i.e., the elements that are ranked highest according to lex-cel) in a social ranking problem, when the knowledge about preferences over the coalitions is incomplete, and the initially accessible input is a subset of an existing total preorder. The first approach is preorder-driven, and elicitates enough of the underlying total preorder to determine the lex-cel necessary winners. The second approach is element-driven and guides comparisons based on strategically-located coalitions. Finally, we present experimental results and discuss the performance of each approach depending on various parameters and scenarios.
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Dates et versions

hal-04750114 , version 1 (23-10-2024)

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  • HAL Id : hal-04750114 , version 1

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Sébastien Konieczny, Stefano Moretti, Ariane Ravier, Paolo Viappiani. Social Ranking under Incomplete Knowledge: Elicitation of the Lex-cel Necessary Winners. 16th International Conference on Scalable Uncertainty Management. SUM 2024., Nov 2024, Palermo, Italy. ⟨hal-04750114⟩
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