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Boosting Brownian-inspired games with network synchronization

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  • Lai, Joel Weijia
  • Cheong, Kang Hao

Abstract

In this study, we have applied a mean-field synchronization approach to a network of dynamic agents. We consider a network of connecting agents whose positions are affected by mean-field synchronization. Based on this position, one can choose which of the two Parrondo’s games to play using a decision-making heuristic. This study reveals the counterintuitive result of achieving a winning outcome by combining two losing strategies through network synchronization and utilizing a real-world decision-making heuristic of preferences. We have also investigated the effects of varying network parameters on the emergence of Parrondo’s paradox.

Suggested Citation

  • Lai, Joel Weijia & Cheong, Kang Hao, 2023. "Boosting Brownian-inspired games with network synchronization," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    • Handle: RePEc:eee:chsofr:v:168:y:2023:i:c:s0960077923000371
    DOI: 10.1016/j.chaos.2023.113136
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    References listed on IDEAS

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    1. Gregory P. Harmer & Derek Abbott, 1999. "Losing strategies can win by Parrondo's paradox," Nature, Nature, vol. 402(6764), pages 864-864, December.
    2. Dai, Xiangfeng & Li, Xuelong & Gutiérrez, Ricardo & Guo, Hao & Jia, Danyang & Perc, Matjaž & Manshour, Pouya & Wang, Zhen & Boccaletti, Stefano, 2020. "Explosive synchronization in populations of cooperative and competitive oscillators," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    3. Rosas, Alexandre, 2021. "Synchronization induced by alternation of dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 153(P2).
    4. Lai, Joel Weijia & Cheong, Kang Hao, 2022. "Risk-taking in social Parrondo’s games can lead to Simpson’s paradox," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
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    Cited by:

    1. Lai, Joel Weijia & Cheong, Kang Hao, 2024. "A Parrondo paradoxical interplay of reciprocity and reputation in social dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).

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