The Norm Game - How a Norm Fails

  • Authors:
  • Antoni Dydejczyk;Krzysztof Kułakowski;Marcin Rybak

  • Affiliations:
  • Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Kraków, Poland PL-30059;Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Kraków, Poland PL-30059;Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Kraków, Poland PL-30059

  • Venue:
  • ICCS 2009 Proceedings of the 9th International Conference on Computational Science
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

We discuss the simulations of the norm game between players at nodes of a directed random network. The final boldness, i.e. the probability of norm breaking by the players, can vary sharply with the initial boldness, jumping from zero to one at some critical value. One of the conditions of this behaviour is that the player who does not punish automatically becomes a defector. The threshold value of the initial boldness can be interpreted as a norm strength. It increases with the punishment and decreases with its cost. Surprisingly, it also decreases with the number of potential punishers. The numerical results are discussed in the context of the statistical data on crimes in Northern Ireland and New Zealand, on divorces in USA, and on the alcohol consumption in Poland.