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Enhanced Reputation-based Tit-for-Tat Strategy for Collaborative Social Applications

机译:增强的基于声誉的协作式社交应用“以牙还牙”策略

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摘要

One known problem that can impact the sustainability of collaborative social applications is the presence of selfish users. In the literature, repeated non-cooperative game theory was introduced as a solution where several strategies were introduced to identify selfish users. However, such strategies do not differentiate between selfish learners and cooperative learners who are reluctant to answer others requests either due to lack of knowledge or confidence. In this paper, we show that educational and collaborative groups need to distinguish between those types of users and put in place mechanisms to encourage non contributing cooperative learners to participate rather than punishing them and excluding them from the group. An enhanced reputation-based Tit-for-Tat strategy is proposed as a solution that will enhance the group activity and overall gain.
机译:可能影响协作社交应用程序可持续性的一个已知问题是自私用户的存在。在文献中,引入了重复的非合作博弈理论作为一种解决方案,其中引入了几种策略来识别自私用户。但是,这样的策略无法区分自私学习者和合作学习者,因为缺乏知识或自信心,他们不愿意回答其他要求。在本文中,我们表明,教育和协作小组需要区分这些类型的用户,并建立机制来鼓励无贡献的合作学习者参与而不是惩罚他们并将他们从小组中排除。提出了一种基于声誉的增强型按需付费策略,作为可以提高团队活动和整体收益的解决方案。

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