Grand challenges in social physics: in pursuit of moral behavior

Capraro, Valerio ORCID: and Perc, Matjaz (2018) Grand challenges in social physics: in pursuit of moral behavior. Frontiers in Physics, 6 . ISSN 2296-424X (doi:10.3389/fphy.2018.00107)

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Methods of statistical physics have proven valuable for studying the evolution of cooperation in social dilemma games. However, recent empirical research shows that cooperative behavior in social dilemmas is only one kind of a more general class of behavior, namely moral behavior, which includes reciprocity, respecting others' property, honesty, equity, efficiency, as well as many others. Inspired by these experimental works, we here open up the path toward studying other forms of moral behavior with methods of statistical physics. We argue that this is a far-reaching direction for future research that can help us answer fundamental questions about human sociality. Why did our societies evolve as they did? What moral principles are more likely to emerge? What happens when different moral principles clash? Can we predict the break out of moral conflicts in advance and contribute to their solution? These are amongst the most important questions of our time, and methods of statistical physics could lead to new insights and contribute toward finding answers.

Item Type: Article
Additional Information: Article number = 107
Research Areas: A. > Business School > Economics
Item ID: 25711
Notes on copyright: Copyright © 2018 Capraro and Perc. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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Depositing User: Valerio Capraro
Date Deposited: 26 Nov 2018 12:01
Last Modified: 25 Jan 2020 19:01

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