The multi-agent Parrondo’s model based on the network evolution

Ye Ye, Neng-gang Xie, Lu Wang and Yu-wan Cen

Physica A: Statistical Mechanics and its Applications, 2013, vol. 392, issue 21, 5414-5421

Abstract: A multi-agent Parrondo’s model is proposed in the paper. The model includes link A based on the rewiring mechanism (the network evolution) + game B (dependent on the spatial neighbors). Moreover, to produce the paradoxical effect and analyze the “agitating” effect of the network evolution, the dynamic processes of the network evolution + game B are studied. The simulation results and the theoretical analysis both show that the network evolution can make game B which is losing produce the winning paradoxical effect. Furthermore, we obtain the parameter space where the strong or weak Parrondo’s paradox occurs. Each size of the region of the parameter space is larger than the one in the available multi-agent Parrondo’s model of game A + game B. This result shows that the “agitating” effect of rewiring based on the network evolution is better than that of the zero-sum game between individuals.

Keywords: The multi-agent Parrondo’s model; The network evolution; The paradoxical effect; The “agitating” effect (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:392:y:2013:i:21:p:5414-5421

DOI: 10.1016/j.physa.2013.07.009

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