一种适合P2P MMOG的多粒度信誉管理模型

Liu Fang, Xiangbin Shi, Dai Qin, Hong-Ping Yang
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引用次数: 1

摘要

为了解决网络游戏公平性差、安全性差的问题,本文提出了一种P2P MMOG的多粒度信誉管理模型。为了准确地评价博弈参与者不同角色的声誉,该模型分别对参与者所扮演的不同角色的声誉进行评价,并利用模糊理论计算参与者的声誉。本文还给出了信誉评价算法。此外,本文还引入了激励机制,鼓励参与者主动对协调者服务质量进行评价,充当协调者的角色。实验结果表明,多粒度信誉可以在相关领域提供更合适的信用支持,为多人博弈提供公平可信的博弈环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multi-granularity Reputation Management Model Suitable for P2P MMOG
In order to solve the problem of the lack of fairness and poor security in online games, this paper presents a multi-granularity reputation management model for P2P MMOG. In order to accurately evaluate the reputation of the different roles of the games players, the model assesses the reputation of different roles taken by players respectively and calculates the player's reputation by fuzzy theory. This paper also gives the algorithm of reputation evaluation. In addition, this paper introduces the incentive mechanism to encourage players to take the initiative to carry out evaluation on the quality of coordinator service and act as a coordinator. The experimental results show that the multi-granularity reputation can provide a more appropriate credit support in related fields and provide a fair and credible gaming environment for the multi-player games.
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