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AAAI 2021

Proportional Representation under Single-Crossing Preferences Revisited

Conference Paper AAAI Technical Track on Game Theory and Economic Paradigms Artificial Intelligence

Abstract

We study the complexity of determining a winning committee under the Chamberlin–Courant voting rule when voters’ preferences are single-crossing on a line, or, more generally, on a tree. For the line, Skowron et al. (2015) describe an O(n2 mk) algorithm (where n, m, k are the number of voters, the number of candidates and the committee size, respectively); we show that a simple tweak improves the time complexity to O(nmk). We then improve this bound for k = Ω(log n) by reducing our problem to the k-link path problem for DAGs with concave Monge weights, obtaining a nm2O( √ log k log log n) algorithm for the general case and a nearly linear algorithm for the Borda misrepresentation function. For trees, we point out an issue with the algorithm proposed by Clearwater, Puppe, and Slinko (2015), and develop a O(nmk) algorithm for this case as well.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
360245762554949722