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Small fraction of selective cooperators can elevate general wellbeing significantly

Author

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  • Lee, Hsuan-Wei
  • Cleveland, Colin
  • Szolnoki, Attila

Abstract

A cooperative player invests effort into a common venture without knowing the partner’s intention in advance. But this strategy can be implemented in various ways when a player is involved in different games simultaneously. Interestingly, if cooperative players distinguish their neighbors and allocate all their external investments into the most successful partner’s game exclusively then a significant cooperation level can be reached even at harsh circumstances where game parameters would dictate full defection otherwise. This positive impact, however, can also be reached when just a smaller fraction of players apply this sophisticated investment protocol during the game. To confirm this hypothesis we have checked several distributions that determine the fraction of supporting players who apply the mentioned selective investment protocol. Notably, when these players are not isolated, but their influences percolate then the whole population may enjoy the benefit of full cooperation already at a relatively low value of the synergy factor which represents the dilemma strength in the applied public goods game.

Suggested Citation

  • Lee, Hsuan-Wei & Cleveland, Colin & Szolnoki, Attila, 2021. "Small fraction of selective cooperators can elevate general wellbeing significantly," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    • Handle: RePEc:eee:phsmap:v:582:y:2021:i:c:s0378437121004957
    DOI: 10.1016/j.physa.2021.126222
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    Cited by:

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    2. Lee, Hsuan-Wei & Cleveland, Colin & Szolnoki, Attila, 2023. "Restoring spatial cooperation with myopic agents in a three-strategy social dilemma," Applied Mathematics and Computation, Elsevier, vol. 458(C).
    3. Schauf, Andrew & Oh, Poong, 2021. "Adaptation strategies and collective dynamics of extraction in networked commons of bistable resources," SocArXiv wmtqk, Center for Open Science.
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    6. Lee, Hsuan-Wei & Cleveland, Colin & Szolnoki, Attila, 2022. "Mercenary punishment in structured populations," Applied Mathematics and Computation, Elsevier, vol. 417(C).

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