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Network fluctuations hinder cooperation in evolutionary games.

Alberto Antonioni1, Marco Tomassini

  • 1Information Systems Department, Faculty of Business and Economics, University of Lausanne, Lausanne, Switzerland. alberto.antonioni@unil.ch

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PubMed
Summary
This summary is machine-generated.

Random network fluctuations significantly reduce cooperation in evolutionary games. Even minor network noise, especially in the Prisoner's Dilemma, can cause cooperation to disappear, highlighting network stability's importance.

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Area of Science:

  • Evolutionary Game Theory
  • Network Science
  • Complex Systems

Background:

  • Barabási-Albert networks promote cooperation in social dilemmas like the Prisoner's Dilemma under static conditions.
  • Understanding the impact of dynamic network changes is crucial for realistic evolutionary game modeling.

Purpose of the Study:

  • To investigate the influence of random network fluctuations on cooperation in evolutionary games.
  • To compare the effects of network noise versus strategy noise on cooperation levels.

Main Methods:

  • Modeling evolutionary games on Barabási-Albert networks with introduced exogenous random link fluctuations.
  • Employing various noise models to simulate network dynamics.
  • Comparing evolutionary dynamics under static versus dynamic network conditions.

Main Results:

  • Moderate random network noise significantly decreases cooperation.
  • Cooperation vanishes in the Prisoner's Dilemma when network noise rate equals strategy revision rate.
  • Network noise is a more potent suppressor of cooperation than strategy noise.

Conclusions:

  • Random network fluctuations pose a significant limitation to achieving high cooperation levels, even in payoff-accumulating scenarios.
  • Network stability is critical for fostering cooperation in evolutionary games.
  • The findings are robust across different types of exogenous noise.