Conference articles PUBLISHED
- Conitzer, V; Freeman, R; Brill, M; Li, Y, Rules for choosing societal tradeoffs,
30th AAAI Conference on Artificial Intelligence, AAAI 2016
(January, 2016),
pp. 460-467.
(last updated on 2024/03/28)
Abstract: We study the societal tradeoffs problem, where a set of voters each submit their ideal tradeoff value between each pair of activities (e.g., "using a gallon of gasoline is as bad as creating 2 bags of landfill trash"), and these are then aggregated into the societal tradeoff vector using a rule.We introduce the family of distance-based rules and show that these can be justified as maximum likelihood estimators of the truth. Within this family, we single out the logarithmic distance-based rule as especially appealing based on a social-choice-Theoretic axiomatization. We give an efficient algorithm for executing this rule as well as an approximate hill climbing algorithm, and evaluate these experimentally.
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