Subjective Logic (SL) is a logic incorporating uncertainty and opinions for agents in dynamic systems. In this work, we investigate the use of subjective logic to model opinions and belief change in social networks. In particular, we work toward the development of a subjective logic belief/opinion update function appropriate for modeling belief change as communication occurs in social networks. We found through experiments that an update function with belief fusion from SL does not have ideal properties to represent a rational update. Even without these properties, we found that an update function with cumulative belief fusion can describe behaviors not explored by the social network model defined by Alvim, Knight, and Valencia (2019).

翻译：主观逻辑是一种融合了不确定性与观点的逻辑体系，适用于动态系统中的智能体。本文研究如何利用主观逻辑对社交网络中的观点和信念变化进行建模。具体而言，我们致力于开发一种适用于主观逻辑的信念/观点更新函数，以刻画社交网络通信过程中发生的信念变化。通过实验发现，基于主观逻辑信念融合的更新函数并不具备表征理性更新的理想特性。即便缺乏这些特性，采用累积信念融合的更新函数仍能描述Alvim、Knight与Valencia（2019）所定义的社交网络模型尚未探索的行为模式。