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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Fairness Versus Reason in the Ultimatum Game

Open access
Nowak, Martin A., Page, Karen M., Sigmund, Karl·2000·Science

Abstract

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.

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Crossref · 10.1126/science.289.5485.1773

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Metadata

Authors
Nowak, M. A., Page, K. M., & Sigmund, K.
Venue
Science
Published
2000-09-08
Volume
289
Issue
5485
Pages
1773-1775
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2119640925
Cited by
817
References
4
FWCI
54.51
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Fairness Versus Reason in the Ultimatum Game. https://app.cochat.ai/papers/10.1126/science.289.5485.1773
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Nowak, M. A., Page, K. M., & Sigmund, K. (2000). Fairness Versus Reason in the Ultimatum Game. Science. https://doi.org/10.1126/science.289.5485.1773

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.