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The HoneyComb Paradigm for Research on Collective Human Behavior
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The evolutionary extortion game of multiple groups in hypernetworks.

Aizhong Shen1, Zilin Gao2, Xiang Gao3

  • 1College of Business Administration, Chaohu University, Hefei, 238000, Anhui Province, People's Republic of China.

Scientific Reports
|December 5, 2022
PubMed
Summary
This summary is machine-generated.

Extortion strategies are evolutionarily stable in hypernetwork gift-giving games. This structure promotes cooperation more than traditional games, even under extreme conditions, with smaller groups favoring cooperation.

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Area of Science:

  • Evolutionary Game Theory
  • Network Science
  • Computational Social Science

Background:

  • Zero-determinant strategies, including extortion, have been identified as evolutionarily stable in structured groups.
  • Previous research primarily focused on complex networks, leaving hypernetwork structures unexplored for these dynamics.

Purpose of the Study:

  • To investigate the evolutionary stability of the extortion strategy within a multi-group game played on hypernetworks.
  • To compare the cooperative outcomes in hypernetworks with traditional dual-strategy games and extortion games on complex networks.

Main Methods:

  • Utilized a gift-giving game framework incorporating replicator-like dynamics.
  • Analyzed a multi-group game model specifically designed for hypernetwork structures.

Main Results:

  • The extortion strategy was found to be evolutionarily stable in the hypernetwork setting.
  • Hypernetwork extortion games significantly promote cooperative behavior compared to other game structures.
  • Cooperation is favored in smaller groups and persists even under extreme conditions, though it may shift to defection or extortion with increased benefit values.

Conclusions:

  • Hypernetworks provide a unique structure where extortion can be an evolutionarily stable strategy that fosters cooperation.
  • The findings suggest that network topology plays a crucial role in the emergence and stability of cooperation in evolutionary games.