2019 IJCAI IJCAI 2019

Portioning Using Ordinal Preferences: Fairness and Efficiency

Abstract

A public divisible resource is to be divided among projects. We study rules that decide on a distribution of the budget when voters have ordinal preference rankings over projects. Examples of such portioning problems are participatory budgeting, time shares, and parliament elections. We introduce a family of rules for portioning, inspired by positional scoring rules. Rules in this family are given by a scoring vector (such as plurality or Borda) associating a positive value with each rank in a vote, and an aggregation function such as leximin or the Nash product. Our family contains well-studied rules, but most are new. We discuss computational and normative properties of our rules. We focus on fairness, and introduce the SD-core, a group fairness notion. Our Nash rules are in the SD-core, and the leximin rules satisfy individual fairness properties. Both are Pareto-efficient.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Machine Learning and Mathematics & Optimization
🧭 Keyword Pioneer — participatory budgeting
🐝 Cross-Pollinator — Artificial Intelligence, Machine Learning, Mathematics & Optimization, Reinforcement Learning
🐣 Hot Topic Early Bird — group fairness