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Cost-effective external interference for promoting the evolution of cooperation.

The Anh Han1, Long Tran-Thanh2

  • 1School of Computing, Media and the Arts, Teesside University, Borough Road, Middlesbrough, TS1 3BA, UK. T.Han@tees.ac.uk.

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Summary

This study introduces a cost-efficient interference model to promote cooperation in populations. A novel strategy based on population composition proves more cost-effective than traditional incentives, especially with weak selection.

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Area of Science:

  • Evolutionary Game Theory
  • Behavioral Economics
  • Computational Social Science

Background:

  • Cooperative behavior evolution is studied across behavioral, social, and computational sciences.
  • Existing models often overlook external interference and its cost-efficiency in promoting cooperation.
  • Self-regarding individuals typically act in their own interest, posing a challenge for collective cooperation.

Purpose of the Study:

  • To develop and analyze a cost-efficient interference model for promoting cooperation.
  • To investigate how an external decision-maker can ensure high cooperation levels at minimal cost.
  • To compare the cost-efficiency of novel interference strategies against standard institutional incentives.

Main Methods:

  • Utilized evolutionary game theory to model population dynamics.
  • Developed an exogenous interference model focusing on the Prisoner's Dilemma game.
  • Derived analytical conditions for guaranteed cooperation levels and minimized interference costs.
  • Analyzed the sensitivity of outcomes to the intensity of selection by interference.

Main Results:

  • Identified analytical conditions for cost-efficient interference strategies.
  • Demonstrated that outcomes are highly sensitive to the intensity of selection.
  • Showcased that population-composition-based interference is more cost-efficient than standard incentives, particularly under weak selection.

Conclusions:

  • A novel, cost-efficient interference strategy can effectively promote cooperation.
  • Population-composition-based interference offers superior cost-efficiency compared to traditional methods.
  • The intensity of selection significantly impacts the effectiveness and cost of interference strategies.