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Three-Way Conflict Analysis with Negative Feedback

  • Yucong Yan,
  • Xiaonan Li

摘要

Conflict often arises when individuals have different opinions. Owing to the ubiquity of conflict, conflict analysis is always widely discussed. Recently, the three-way conflict analysis proposed by Yao has attracted much attention. In Yao’s framework, each three-way conflict model consists of the whole, trisections, and final results. However, the final results are induced once a trisection is given. In other words, the model cannot correct the final results. Therefore, we provide a new conflict analysis framework with negative feedback. This way, we can deliver better results, even when we are not given proper thresholds in advance. In addition, we provide three algorithms for three-way conflict models with negative feedback in this paper after showing the new framework. In the third algorithm, we focus on coalitions instead of trisections while improving thresholds, which distinguishes greatly from previous models.