Network flow of mobile agents enhances the evolution of cooperation
Network flow of mobile agents enhances the evolution of cooperation
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DOI：
10.1209/0295-5075/121/28001
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发表时间：
2018-01
期刊：
影响因子：
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通讯作者：
G. Ichinose;Y. Satotani;T. Nagatani
中科院分区：
文献类型：
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作者：
G. Ichinose;Y. Satotani;T. Nagatani
研究了空节点复杂网络中偶然运动对合作持续性的影响。每个智能体与其邻居进行囚徒困境博弈，然后它要么根据与邻居的收益差异更新策略，要么如果对自己的收益不满意，它就移动到另一个空节点。如果没有相邻节点为空，则每个代理都留在同一站点。通过广泛的进化模拟，我们表明，中等密度的代理增强合作的网络流量的移动的代理也是中等。此外，如果代理人的运动比策略更新更频繁，合作得到进一步促进。在无标度网络中，合作的最佳密度低于其他网络，因为代理被卡在枢纽上。我们的研究表明，在不断变化的社会中，保持顺畅的网络流对于合作的持续性具有重要意义。
We study the effect of contingent movement on the persistence of cooperation on complex networks with empty nodes. Each agent plays the Prisoner's Dilemma game with its neighbors and then it either updates the strategy depending on the payoff difference with neighbors or it moves to another empty node if not satisfied with its own payoff. If no neighboring node is empty, each agent stays at the same site. By extensive evolutionary simulations, we show that the medium density of agents enhances cooperation where the network flow of mobile agents is also medium. Moreover, if the movements of agents are more frequent than the strategy updating, cooperation is further promoted. In scale-free networks, the optimal density for cooperation is lower than other networks because agents get stuck at hubs. Our study suggests that keeping a smooth network flow is significant for the persistence of cooperation in ever-changing societies.