Can neural networks learn to select an alternative based on a systematic aggregation of conflicting individual preferences (i.e. a 'voting rule')? And if so, which voting rule best describes their behavior? We show that a prominent neural network can be trained to respect two fundamental...

Voting rules can be assessed from quite different perspectives: the axiomatic, the pragmatic, in terms of computational or conceptual simplicity, susceptibility to manipulation, and many others aspects. In this paper, we take the machine learning perspective and ask how 'well' a few prominent...

We characterize the preference domains on which the Borda count satisfies Maskin monotonicity. The basic concept is the notion of a cyclic permutation domain which arises by fixing one particular ordering of alternatives and including all its cyclic permutations. The cyclic permutation domains...