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Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Synthese
Article . 2024 . Peer-reviewed
Data sources: Crossref
Synthese
Article . 2024 . Peer-reviewed
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Normative uncertainty meets voting theory

Authors: Lee Elkin;

Normative uncertainty meets voting theory

Abstract

AbstractRecent attempts to provide a viable account of decision making under normative uncertainty through the use of voting procedures seem promising, but incomparable options pose a challenge. This paper focuses on the so-called Borda approach to decision making under normative uncertainty (MacAskill, Mind 125(500):967–1004, 2016; MacAskill et al., Moral uncertainty, Oxford University Press, 2020) and illustrates how an extended version of it aimed at accommodating incomplete preference orderings associated with normative theories fails. I propose a different account for proponents fond of the voter-theoretic approach that is grounded by approval voting, which sufficiently addresses the problem of option incomparability and is pragmatically compelling due to its simpler structure.

Country
Poland
Keywords

Borda count, decision theory, approval voting, normative uncertainty

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid