Computing Voting Rules with Improvement Feedback
This addresses a fundamental issue in social choice for researchers and practitioners dealing with constrained feedback scenarios, though it is incremental as it extends prior impossibility results to a new feedback type.
The paper tackled the problem of aggregating preferences under improvement feedback, where voters express incremental adjustments, and characterized which positional scoring rules can be computed, finding that plurality is learnable but many others are not, and improvement feedback fails for Condorcet-consistent rules.
Aggregating preferences under incomplete or constrained feedback is a fundamental problem in social choice and related domains. While prior work has established strong impossibility results for pairwise comparisons, this paper extends the inquiry to improvement feedback, where voters express incremental adjustments rather than complete preferences. We provide a complete characterization of the positional scoring rules that can be computed given improvement feedback. Interestingly, while plurality is learnable under improvement feedback--unlike with pairwise feedback--strong impossibility results persist for many other positional scoring rules. Furthermore, we show that improvement feedback, unlike pairwise feedback, does not suffice for the computation of any Condorcet-consistent rule. We complement our theoretical findings with experimental results, providing further insights into the practical implications of improvement feedback for preference aggregation.