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网络演化对 Parrondo 效应的影响分析。

Influence analysis of network evolution on Parrondo effect.

机构信息

School of Mechanical Engineering, Anhui University of Technology, Anhui Ma'anshan, 243002, China.

School of Management Science and Engineering, Anhui University of Technology, Anhui Ma'anshan, 243002, China.

出版信息

Biosystems. 2024 Feb;236:105124. doi: 10.1016/j.biosystems.2024.105124. Epub 2024 Jan 18.

Abstract

Parrondo's paradox is a scheme used to describe an interesting paradoxical situation that a losing Game A and a losing Game B played randomly or periodically will produce a winning result. Here, a dynamic process of network evolution of Link A + Game B is proposed to yield the Parrondo effect. Game B with two asymmetric branches depends on the relative comparison between the capital of the network node and the average capital of all its neighbors. Simulation results demonstrate that network structure evolution make the losing Game B produce a paradoxical effect of winning and would be advantageous to the development of the "ratcheting" mechanism in Game B. Furthermore, the underlying paradoxical mechanism is analyzed to illustrate the parameter space where the "strong" Parrondo effect occurs. Then influence of two types of network connection is analyzed, indicating that the "agitating" effect of the network is basically the same when a node connects to a neighbor's neighbor or randomly chooses a node other than its neighbors. Further, a higher frequency of network evolution yields a larger parameter region where the "strong" Parrondo effect emerges.

摘要

帕隆多悖论是一种用于描述有趣的悖论情况的方案,即随机或周期性地进行一场输家游戏 A 和一场输家游戏 B,将产生赢家结果。在这里,提出了一种链接 A + 游戏 B 的网络演化的动态过程,以产生帕隆多效应。具有两个不对称分支的游戏 B 取决于网络节点的资本与所有邻居的平均资本之间的相对比较。模拟结果表明,网络结构演化使输家游戏 B 产生了赢家的悖论效应,并且有利于游戏 B 中“棘轮”机制的发展。此外,还分析了潜在的悖论机制,以说明“强”帕隆多效应发生的参数空间。然后分析了两种网络连接的影响,表明当节点连接到邻居的邻居或随机选择邻居以外的节点时,网络的“搅动”效应基本相同。此外,网络演化的频率越高,“强”帕隆多效应出现的参数区域就越大。

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