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Evolution of extortion in structured populations.

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Summary
This summary is machine-generated.

Extortion strategies in evolutionary games can destabilize cooperation. However, a myopic best response update reveals that defectors and extortioners coarsen, surprisingly allowing cooperators to prevail.

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Area of Science:

  • Evolutionary Game Theory
  • Computational Social Science
  • Agent-Based Modeling

Background:

  • Extortion strategies can dominate opponents in iterated prisoner's dilemma games.
  • However, widespread adoption makes these strategies evolutionarily unstable.
  • Extortion can sometimes facilitate cooperation but is not an evolutionarily stable outcome.

Purpose of the Study:

  • To investigate the evolutionary dynamics of strategies in spatial games.
  • To explore the impact of different update rules on strategy evolution.
  • To understand the role of extortion strategies in promoting cooperation.

Main Methods:

  • Simulations of spatial games with pairwise imitation and birth-death dynamics.
  • Analysis using myopic best response strategy updating.
  • Examination across various interaction topologies.

Main Results:

  • Pairwise imitation and birth-death dynamics yield known evolutionary outcomes.
  • Myopic best response updating leads to spontaneous coarsening of defectors and extortioners.
  • This coarsening enables cooperators to thrive even with high temptation to defect.

Conclusions:

  • Myopic best response updating offers counterintuitive solutions in spatial evolutionary games.
  • Extortion strategies can act as a 'Trojan horse,' enabling cooperation's emergence.
  • Coarsening, checkerboard ordering, and best response updating are crucial for understanding cooperation's evolution.