EconPapers    
Economics at your fingertips  
 

Boosting Brownian-inspired games with network synchronization

Joel Weijia Lai and Kang Hao Cheong

Chaos, Solitons & Fractals, 2023, vol. 168, issue C

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.

Keywords: Decision-making; Network synchronization; Parrondo’s paradox; Social dynamics (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077923000371
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:168:y:2023:i:c:s0960077923000371

DOI: 10.1016/j.chaos.2023.113136

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().

 
Page updated 2025-03-19
Handle: RePEc:eee:chsofr:v:168:y:2023:i:c:s0960077923000371