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Emergence of Altruistic Behavior Based on Game Involves Reputation and Future Expectation in Complex Networks

机译:基于博弈的利他行为的出现涉及复杂网络中的声誉和未来期望

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We study the altruistic behavior on spatial small-world network and scale-free network in the framework of game theory, by establishing a mechanism based on reputation and future expectation. Each player interacts with his immediate neighbors can follow two strategies: cooperation or defection. Reputation and discount factor are respectively introduced to describe the information of players' historical behavior and the future expectation of players. Players not only consider current payoff but also care about future payoff when they employ strategy. Simulations and analysis show players choose cooperation voluntarily for the purpose of payoff-maximizing as long as the benefit-to-cost ratio is big enough. The level of convergence average reputation of group does not rely on the level of initial average reputation of group absolutely. Group can converge to full cooperation even though the initial average reputation of group is small. In a certain interval, a slight increase of the initial average reputation of group can effectively enhance the level of cooperation. Although the non-subjective factors prevent cooperation from emerging, complex network has a certain ability to resist the disturbance. The cooperation state in scale-free network is more stable than that in small-world network. Concentrating on the situation of group state changing from cooperative to defective, dynamic spatial patterns of small-world network show long-range connections are the main reason for the emergence of new defective cluster. Reasonable network randomness is in favor of motivating altruistic behavior. In scale-free network, heterogeneity makes players converge to three states: full cooperation, full defection and reputation oscillate in a specific domain with particular mode. A small amount of players with large degree and high reputation and a large number of players with small degree and low reputation restrict each other, which enable group can converge to a state between full cooperation and full defection. In addition, heterogeneity has no effect on promoting behavior spread under the mechanism against the common belief.
机译:通过建立基于声誉和未来期望的机制,我们在博弈论的框架下研究了空间小世界网络和无标度网络上的利他行为。每个玩家与其直系邻居互动都可以遵循两种策略:合作或叛逃。分别引入声誉和折扣因子来描述玩家的历史行为信息和玩家的未来期望。玩家在采用策略时,不仅会考虑当前的收益,还会考虑未来的收益。仿真和分析表明,只要收益成本比足够大,参与者就会自愿选择合作以最大程度地提高收益。组的收敛平均声誉水平绝对不依赖于组的初始平均声誉水平。即使小组最初的平均声誉很小,也可以收敛到全面合作。在一定的时间间隔内,小组初始平均声誉的略微提高可以有效地提高合作水平。尽管非主观因素阻止合作的出现,但是复杂的网络具有一定的抵抗干扰的能力。无标度网络中的合作状态比小世界网络中的合作状态更稳定。着眼于小组状态从合作状态变为有缺陷状态的情况,小世界网络的动态空间格局表明,远程连接是出现新的有缺陷簇的主要原因。合理的网络随机性有利于激发利他行为。在无规模网络中,异质性使参与者收敛到三个状态:完全合作,完全叛逃和声誉在特定领域以特定模式振荡。少数具有较高程度和较高声誉的玩家,以及大量具有较低程度和较低声誉的玩家相互限制,这使团队可以收敛到充分合作和完全叛逃之间的状态。另外,异质性对促进行为传播在反对共同信念的机制下没有影响。

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