Evolutionary Establishment of Moral and Double Moral Standards Through Spatial Interactions

PLoS Computational Biology 6 (2010) e1000758

15 Pages Posted: 19 Jul 2010 Last revised: 17 Jan 2012

See all articles by Dirk Helbing

Dirk Helbing

ETH Zürich - Department of Humanities, Social and Political Sciences (GESS)

Attila Szolnoki

Hungarian Academy of Sciences (HAS) - Research Institute for Technical Physics and Materials Science

Matjaz Perc

Faculty of Natural Sciences and Mathematics, University of Maribor

Gyorgy Szabo

Hungarian Academy of Sciences (HAS) - Research Institute for Technical Physics and Materials Science

Date Written: April 29, 2010

Abstract

Situations where individuals have to contribute to joint efforts or share scarce resources are ubiquitous. Yet, without proper mechanisms to ensure cooperation, the evolutionary pressure to maximize individual success tends to create a tragedy of the commons (such as over-fishing or the destruction of our environment). This contribution addresses a number of related puzzles of human behavior with an evolutionary game theoretical approach as it has been successfully used to explain the behavior of other biological species many times, from bacteria to vertebrates. Our agent-based model distinguishes individuals applying four different behavioral strategies: non-cooperative individuals ("defectors"), cooperative individuals abstaining from punishment efforts (called "cooperators" or "second-order free-riders"), cooperators who punish non-cooperative behavior ("moralists"), and defectors, who punish other defectors despite being non-cooperative themselves ("immoralists"). By considering spatial interactions with neighboring individuals, our model reveals several interesting effects: First, moralists can fully eliminate cooperators. This spreading of punishing behavior requires a segregation of behavioral strategies and solves the "second-order free-rider problem." Second, the system behavior changes its character significantly even after very long times ("who laughs last laughs best effect"). Third, the presence of a number of defectors can largely accelerate the victory of moralists over non-punishing cooperators. Forth, in order to succeed, moralists may profit from immoralists in a way that appears like an "unholy collaboration." Our findings suggest that the consideration of punishment strategies allows to understand the establishment and spreading of "moral behavior" by means of game-theoretical concepts. This demonstrates that quantitative biological modeling approaches are powerful even in domains that have been addressed with non-mathematical concepts so far. The complex dynamics of certain social behaviors becomes understandable as result of an evolutionary competition between different behavioral strategies.

Keywords: Second-Order Free-Riding, Punishment, Moral, Double Moral, Public Goods, Cooperation, Spatial Games

JEL Classification: C7, D8, H4

Suggested Citation

Helbing, Dirk and Szolnoki, Attila and Perc, Matjaz and Szabo, Gyorgy, Evolutionary Establishment of Moral and Double Moral Standards Through Spatial Interactions (April 29, 2010). PLoS Computational Biology 6 (2010) e1000758, Available at SSRN: https://ssrn.com/abstract=1644923

Dirk Helbing

ETH Zürich - Department of Humanities, Social and Political Sciences (GESS) ( email )

ETH Zurich - Swiss Federal Institute of Technology
Clausiusstrasse 50
Zurich, 8092
Switzerland

HOME PAGE: http://www.coss.ethz.ch

Attila Szolnoki (Contact Author)

Hungarian Academy of Sciences (HAS) - Research Institute for Technical Physics and Materials Science ( email )

Konkoly-Thege u. 29-33
Budapest, H-1525
Hungary

Matjaz Perc

Faculty of Natural Sciences and Mathematics, University of Maribor ( email )

Koroska cesta 160
Maribor, SI-2000
Slovenia

HOME PAGE: http://www.matjazperc.com/

Gyorgy Szabo

Hungarian Academy of Sciences (HAS) - Research Institute for Technical Physics and Materials Science ( email )

P.O.B. 49
Budapest, H-1525
Hungary
+36-1 392-2678 (Phone)
+36-1 392-2235 (Fax)

HOME PAGE: http://www.mfa.kfki.hu/~szabo/

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