Arrow Research search
Back to AAAI

AAAI 2023

Voting with Preference Intensities

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

Abstract

When an agent votes, she typically ranks the set of available alternatives. Occasionally, she may also wish to report the intensity of her preferences by indicating adjacent pairs of alternatives in her ranking between which her preference is acutely decisive; for instance, she may suggest that she likes alternative a more than b, but b much more than c. We design near-optimal voting rules which aggregate such preference rankings with intensities using the recently-popular distortion framework. We also show that traditional voting rules, which aggregate preference rankings while ignoring (or not eliciting) intensities, can incur significant welfare loss.

Authors

Keywords

  • GTEP: Social Choice / Voting

Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
42383231253547371