Mathematical foundations of moral preferences
Article
Capraro, V. and Perc, M. 2021. Mathematical foundations of moral preferences. Journal of The Royal Society Interface. 18 (175), pp. 1-13. https://doi.org/10.1098/rsif.2020.0880
Type | Article |
---|---|
Title | Mathematical foundations of moral preferences |
Authors | Capraro, V. and Perc, M. |
Abstract | One-shot anonymous unselfishness in economic games is commonly explained by social preferences, which assume that people care about the monetary payoffs of others. However, during the last ten years, research has shown that different types of unselfish behaviour, including cooperation, altruism, truth-telling, altruistic punishment, and trustworthiness are in fact better explained by preferences for following one’s own personal norms – internal standards about what is right or wrong in a given situation. Beyond better organ- ising various forms of unselfish behaviour, this moral preference hypothesis has recently also been used to increase charitable donations, simply by means of interventions that make the morality of an action salient. Here we review experimental and theoretical work dedicated to this rapidly growing field of research, and in doing so we outline mathematical foundations for moral preferences that can be used in future models to better understand selfless human actions and to adjust policies accordingly. These foundations can also be used by artificial intelligence to better navigate the complex landscape of human morality. |
Keywords | Biotechnology, Biophysics, Biochemistry, Bioengineering, Biomaterials, Biomedical Engineering |
Publisher | The Royal Society |
Journal | Journal of The Royal Society Interface |
ISSN | 1742-5689 |
Electronic | 1742-5662 |
Publication dates | |
Online | 10 Feb 2021 |
28 Feb 2021 | |
Publication process dates | |
Deposited | 18 Jan 2021 |
Accepted | 20 Jan 2021 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | © 2021 The Author(s) |
Digital Object Identifier (DOI) | https://doi.org/10.1098/rsif.2020.0880 |
Language | English |
https://repository.mdx.ac.uk/item/893y8
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