一种使用认知计算的主观信任融合模型

Subjective Trust Fusion Model Using Cognitive Calculation

信任是人类解决复杂社会问题的有效机制之一,受到多个研究领域的高度重视.与此同时,人类认知过程在社会关系学领域也有着广泛的研究.在信任模型中,信任度动态变化的根本原因在于信任实体间的认知变化.为了克服现有信任模型中对信任的动态性刻画不足的问题,提出一种基于认知计算的主观信任模型.该模型对实体间的交互行为进行模糊综合评判计算认知因子.根据认知因子分配直接信任,间接信任以及信誉在融合信任中所占权重,构建信任融合模型.实验结果表明,该模型的收敛速度更快,更加能够体现主客体之间信任度的实时性和动态适应性.

As trust is one of the effective mechanisms for solving complex social problems,it has been highly valued in many research fields.At the same time,human cognitive process also has the extensive research in social psychology.In trust model,the dynamic trust is due to the change of cognitive between entities.In order to overcome the problem of lack dynamic in the existing trust model,put forward a subjective trust model based on cognitive calculation.This model uses fuzzy comprehensive evaluation to calculate cognitive factor.Then,the weight of trust was allocated by cognitive factor.Finally,to build trust fusion model combine with direct trust,indirect trust and reputation.Experiments show that this model has faster convergence speed,more can reflect real time and dynamic trust between subject and object.