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Abstrakty
In this study we present a game-theoretic model of guilt in relation to sensitivity to norms of fairness. We focus on a specific kind of fairness norm à la Rawls according to which a fair society should be organized so as to admit economic inequalities to the extent that they are beneficial to the less advantaged agents. In a first step, we analyze the impact of the sensitivity to this fairness norm on the behavior of agents who play a repeated Prisoner’s Dilemma and learn via fictitious play. In a second step we transform the base game into a meta-game that represents a static description of a repeated game updated via fictitious play. We analyze such a meta-game under population dynamics by means of evolutionary game theory. Our results reveal two things: first of all, a great sensitivity to the fairness norm is beneficial in the long term when agents have the time to converge to mutual cooperation. Secondly, cooperativeness and fairness norm sensitivity can coevolve in a population of initially solely defectors.
Wydawca
Czasopismo
Rocznik
Tom
Strony
121--148
Opis fizyczny
Bibliogr. 37 poz., tab., wykr.
Twórcy
autor
- CNRS, Institut de Recherche en Informatique de Toulouse, Université Paul Sabatier, Toulouse, France
autor
- Department of Management, Ca’Foscari University, Venice, Italy
Bibliografia
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- [18] Lorini E, Mühlenbernd R. The long-term benefits of following fairness norms: A game-theoretic analysis. In Q. Chen, P. Torroni, S. Villata, J. Hsu & A. Omicini, edsitors, PRIMA 2015: Principles and Practice of Multi-agent Systems, volume 9387 of Lecture Notes in Artificial Intelligence. Springer. 2015, pp. 301-318. URL https://doi.org/10.1007/978-3-319-25524-8_19.
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Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d990a151-7f11-4acf-993f-c7f7bd493d0f