What matters and how it matters: A choice-theoretic representation of moral theories

Philosophical Review 126 (4):421-479 (2017)
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Abstract

We present a new “reason-based” approach to the formal representation of moral theories, drawing on recent decision-theoretic work. We show that any moral theory within a very large class can be represented in terms of two parameters: a specification of which properties of the objects of moral choice matter in any given context, and a specification of how these properties matter. Reason-based representations provide a very general taxonomy of moral theories, as differences among theories can be attributed to differences in their two key parameters. We can thus formalize several distinctions, such as between consequentialist and non-consequentialist theories, between universalist and relativist theories, between agent-neutral and agent-relative theories, between monistic and pluralistic theories, between atomistic and holistic theories, and between theories with a teleological structure and those without. Reason-based representations also shed light on an important but under-appreciated phenomenon: the “underdetermination of moral theory by deontic content”.

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Author Profiles

Franz Dietrich
Centre National de la Recherche Scientifique
Christian List
Ludwig Maximilians Universität, München

Citations of this work

Decision under normative uncertainty.Franz Dietrich & Brian Jabarian - 2022 - Economics and Philosophy 38 (3):372-394.
Decision Theory.Katie Steele & H. Orri Stefánsson - 2012 - In Peter Adamson (ed.), Stanford Encyclopedia of Philosophy. Stanford Encyclopedia of Philosophy.
Hyperintensionality and Normativity.Federico L. G. Faroldi - 2019 - Cham, Switzerland: Springer Verlag.
Non-ideal prescriptions for the morally uncertain.Amelia Hicks - 2021 - Philosophical Studies 179 (4):1039-1064.

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References found in this work

Anarchy, State, and Utopia.Robert Nozick - 1974 - New York: Basic Books.
On What Matters: Two-Volume Set.Derek Parfit - 2011 - New York: Oxford University Press.
The Foundations of Statistics.Leonard J. Savage - 1954 - Wiley Publications in Statistics.

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