Consistent Probabilistic Social Choice
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Abstract (arXiv)
Two fundamental axioms in social choice theory are consistency with respect to a variable electorate and consistency with respect to components of similar alternatives. In the context of traditional non-probabilistic social choice, these axioms are incompatible with each other. We show that in the context of probabilistic social choice, these axioms uniquely characterize a function proposed by Fishburn (Rev. Econ. Stud., 51(4), 683--692, 1984). Fishburn's function returns so-called maximal lotteries, i.e., lotteries that correspond to optimal mixed strategies of the underlying plurality game. Maximal lotteries are guaranteed to exist due to von Neumann's Minimax Theorem, are almost always unique, and can be efficiently computed using linear programming.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Feb 2015.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 0; 2026: 2.
4 papers.
- 2024A Minimaximalist Approach to Reinforcement Learning from Human Feedbackcited by 141
- 2023Is RLHF More Difficult than Standard RL?cited by 96
- 2026Robust AI Evaluation through Maximal Lotteriescited by 1
- 2026AI Alignment From Social Choice Perspectivescited by 0
- 2026AI Alignment From Social Choice Perspectives19 Jun 2026
- 2026Robust AI Evaluation through Maximal Lotteries24 Feb 2026
- 2024A Minimaximalist Approach to Reinforcement Learning from Human Feedback8 Jan 2024
- 2023Is RLHF More Difficult than Standard RL?25 Jun 2023