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Strategy intervention for the evolution of fairness.

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Fairness evolves through strategic interactions, with spitefulness promoting it and altruism inhibiting it. Non-monotonic rejections in the Ultimatum Game model help fairness prevail over selfishness, especially in structured populations.

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Area of Science:

  • Evolutionary Game Theory
  • Behavioral Economics
  • Social Psychology

Background:

  • Fairness preference is a key aspect of human behavior, yet its evolutionary origins remain debated.
  • Previous models often overlooked non-monotonic rejection patterns observed in experimental economics.
  • Understanding fairness requires incorporating complex strategic interactions and population structures.

Purpose of the Study:

  • To introduce non-monotonic rejections into an evolutionary Ultimatum Game model.
  • To investigate the evolutionary dynamics of fairness in structured populations.
  • To analyze the impact of altruism and spitefulness on fairness evolution.

Main Methods:

  • Developed an evolutionary model of the Ultimatum Game incorporating non-monotonic rejections.
  • Employed strategy intervention by sequentially adding strategies to analyze evolutionary competition.
  • Utilized analytical methods to study fairness, selfishness, altruism, and spitefulness in group-structured populations.

Main Results:

  • Altruism was found to inhibit the evolution of fairness, while spitefulness promoted it.
  • Non-monotonic rejections facilitated the dominance of fairness over selfishness.
  • Population structure, size, mutation, and migration significantly influenced the prevalence of different strategies.

Conclusions:

  • Non-monotonic rejections are crucial for understanding the evolution of fairness.
  • Spitefulness plays a promoting role, whereas altruism acts as a constraint on fairness.
  • The study provides insights into the evolutionary origins of fairness in complex social structures.