PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
December 1, 1986American Political Science Review1,470 citations

An Evolutionary Approach to Norms

View Full Paper
RARobert Axelrod

Key Points

  • The research aims to explore how behavioral norms emerge and remain stable in group settings without central authority.
  • Analyzed a computer simulation based on an evolutionary approach to strategy effectiveness.
  • Investigated the dynamics of behavioral norms in groups of people with limited rationality.
  • Examined historical examples to illustrate different mechanisms supporting norms.
  • Demonstrated specific conditions under which norms can evolve and become stable.
  • Highlighted the role of metanorms in regulating the enforcement of behavioral norms.
  • Identified various mechanisms, such as dominance and social proof, that contribute to norm stability.

Abstract

Norms provide a powerful mechanism for regulating conflict in groups, even when there are more than two people and no central authority. This paper investigates the emergence and stability of behavioral norms in the context of a game played by people of limited rationality. The dynamics of this new norms game are analyzed with a computer simulation based upon the evolutionary principle that strategies shown to be relatively effective will be used more in the future than less effective strategies. The results show the conditions under which norms can evolve and prove stable. One interesting possibility is the employment of metanorms, the willingness to punish someone who did not enforce a norm. Many historical examples of domestic and international norms are used to illustrate the wide variety of mechanisms that can support norms, including metanorms, dominance, internalization, deterrence, social proof, membership in groups, law, and reputation .

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Robert Axelrod (1986) studied this question.

synapsesocial.com/papers/69d77d0a447a5ff6a2b8a8cdhttps://doi.org/10.2307/1960858
Ask AI
Helpful
Bookmark
Share
View Full Paper