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The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

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Published on: January 19, 2019

The spatial Ultimatum game revisited.

Jaime Iranzo1, Javier Román, Angel Sánchez

  • 1Centro de Astrobiología CSIC-INTA, 28850 Torrejón de Ardoz, Madrid, Spain.

Journal of Theoretical Biology
|March 5, 2011
PubMed
Summary
This summary is machine-generated.

Fair behavior emerges generically in spatial Ultimatum games. Simulations reveal quasi-empathetic individuals, whose offers align with acceptance thresholds, frequently arise due to local evolutionary dynamics.

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Area of Science:

  • Evolutionary Game Theory
  • Agent-Based Modeling
  • Behavioral Economics

Background:

  • The spatial Ultimatum game explores fairness emergence.
  • Previous work by Page et al. (2000) demonstrated fairness in a 2D setup.
  • Further investigation is needed to understand the generality and mechanisms of fair behavior.

Purpose of the Study:

  • To thoroughly investigate the emergence of fair behavior in the spatial Ultimatum game.
  • To expand upon and add insights to the foundational work in this area.
  • To analyze the role of local evolutionary dynamics in fostering altruistic strategies.

Main Methods:

  • Extensive computer simulations within a spatial framework.
  • Analysis of evolutionary dynamics under varying conditions.
  • Development of analytical arguments to support simulation findings.

Main Results:

  • Altruism emerges as a generic phenomenon in the spatial Ultimatum game.
  • Quasi-empathetic individuals, with offers near acceptance thresholds, frequently emerge and stabilize.
  • The specific details of emergent fairness depend on the considered evolutionary dynamics.

Conclusions:

  • Local evolutionary effects can drive the emergence of seemingly non-rational or maladaptive behaviors like altruism.
  • Quasi-empathy is a common outcome, suggesting a robust evolutionary pathway to fairness.
  • The spatial structure significantly influences the evolution of cooperative and fair strategies.