Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.
Science Signaling - Call For Papers

Site Tools

  • AAAS
  • Subscribe
  • Feedback

Site Search

Search Advanced

Science 8 September 2000:
Vol. 289. no. 5485, pp. 1773 - 1775
DOI: 10.1126/science.289.5485.1773

Reports

Fairness Versus Reason in the Ultimatum Game

Martin A. Nowak,1* Karen M. Page,1 Karl Sigmund23

In the Ultimatum Game, two players are offered a chance to win a certain sum of money. All they must do is divide it. The proposer suggests how to split the sum. The responder can accept or reject the deal. If the deal is rejected, neither player gets anything. The rational solution, suggested by game theory, is for the proposer to offer the smallest possible share and for the responder to accept it. If humans play the game, however, the most frequent outcome is a fair share. In this paper, we develop an evolutionary approach to the Ultimatum Game. We show that fairness will evolve if the proposer can obtain some information on what deals the responder has accepted in the past. Hence, the evolution of fairness, similarly to the evolution of cooperation, is linked to reputation.

1 Institute for Advanced Study, Einstein Drive, Princeton, NJ 08540, USA.
2 Institute for Mathematics, University of Vienna, Strudlhofgasse 4, A-1090 Vienna, Austria.
3 International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria.
*   To whom correspondence should be addressed. E-mail: nowak{at}ias.edu


Read the Full Text


THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES:
A Path Toward Fairness: Preferential Association and the Evolution of Strategies in the Ultimatum Game.
Y.-S. Chiang (2008)
Rationality and Society 20, 173-201
   Abstract »    PDF »
Multiple Systems in Decision Making.
A. G. SANFEY and L. J. CHANG (2008)
Ann. N.Y. Acad. Sci. 1128, 53-62
   Abstract »    Full Text »    PDF »
From the Cover: The collective-risk social dilemma and the prevention of simulated dangerous climate change.
(2008)
PNAS 105, 2291-2294
Social Decision-Making: Insights from Game Theory and Neuroscience.
A. G. Sanfey (2007)
Science 318, 598-602
   Abstract »    Full Text »    PDF »
Heritability of ultimatum game responder behavior.
B. Wallace, D. Cesarini, P. Lichtenstein, and M. Johannesson (2007)
PNAS 104, 15631-15634
   Abstract »    Full Text »    PDF »
Sacred bounds on rational resolution of violent political conflict.
J. Ginges, S. Atran, D. Medin, and K. Shikaki (2007)
PNAS 104, 7357-7360
   Abstract »    Full Text »    PDF »
How Learning Affects the Evolution of Strong Reciprocity.
J. P. Calderon and R. Zarama (2006)
Adaptive Behavior 14, 211-221
   Abstract »    PDF »
Evolutionary Dynamics of Biological Games.
M. A. Nowak and K. Sigmund (2004)
Science 303, 793-799
   Abstract »    Full Text »    PDF »
Justice Within Social Dilemmas.
D. A. Schroeder, J. E. Steel, A. J. Woodell, and A. F. Bembenek (2003)
Personality and Social Psychology Review 7, 374-387
   Abstract »    PDF »
The Neural Basis of Economic Decision-Making in the Ultimatum Game.
A. G. Sanfey, J. K. Rilling, J. A. Aronson, L. E. Nystrom, and J. D. Cohen (2003)
Science 300, 1755-1758
   Abstract »    Full Text »    PDF »
Reward and punishment.
K. Sigmund, C. Hauert, and M. A. Nowak (2001)
PNAS 98, 10757-10762
   Abstract »    Full Text »    PDF »



ADVERTISEMENT
Click Me!

ADVERTISEMENT
Click Me!

To Advertise     Find Products


Science. ISSN 0036-8075 (print), 1095-9203 (online)