Descriptive Uncertainty and Maximizing Expected Choice-Worthiness
A popular model of normative decision-making under uncertainty suggests choosing the option with the maximum expected moral choice-worthiness (MEC), where the choice-worthiness values from each moral theory, which are assumed commensurable, are weighted by credence and combined. This study adds desc...
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| Format: | Electronic Article |
| Language: | English |
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| Published: |
Springer Science + Business Media B. V
[2021]
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| In: |
Ethical theory and moral practice
Year: 2021, Volume: 24, Issue: 1, Pages: 197-211 |
| Further subjects: | B
Moral theories
B Credence B Maximum expected choice-worthiness B Normative uncertainty B Commensurability |
| Online Access: |
Volltext (lizenzpflichtig) |
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| 520 | |a A popular model of normative decision-making under uncertainty suggests choosing the option with the maximum expected moral choice-worthiness (MEC), where the choice-worthiness values from each moral theory, which are assumed commensurable, are weighted by credence and combined. This study adds descriptive uncertainty about the non-moral facts of a situation into the model by treating choice-worthiness as a random variable. When agents face greater descriptive uncertainty, the choice-worthiness random variable will have a greater spread and a larger standard deviation. MEC, as a decision rule, is sensitive only to the expected value of the random variable and not to its standard deviation. For example, MEC is insensitive to cases where an option with a large degree of descriptive uncertainty may have a higher probability of being below some threshold of impermissibility than does an option with less dispersion, even though the latter has a higher expected choice-worthiness. When applied to the same situation, similar moral theories will have statistically correlated choice-worthiness values. This correlation affects the dispersion of the credence-weighted sum of the random variables but not its expected value. Thus, MEC is insensitive to aspects of the normative situation to which a good decision-rule should be sensitive. | ||
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| 650 | 4 | |a Maximum expected choice-worthiness | |
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| 650 | 4 | |a Normative uncertainty | |
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