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Partial observable update for subjective logic and its application for trust estimation

机译:主观逻辑的部分可观察更新及其在信任估计中的应用

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摘要

Subjective Logic (SL) is a type of probabilistic logic, which is suitable for reasoning about situations withuncertainty and incomplete knowledge. In recent years, SL has drawn a significant amount of attention from the multi-agent systems community as it connects beliefs and uncertainty in propositions to a rigorousstatistical characterization via Dirichlet distributions. However, one serious limitation of SL is that the belief updates are done only based on completely observable evidence. This work extends SL to incorporate belief updates from partially observable evidence. Normally, the belief updates in SL presume that the current evidence for a proposition points to only one of its mutually exclusive attribute states. Instead, this work considers that the current attribute state may not be completely observable, and instead, one is only able to obtain a measurement that is statistically related to this state. In other words, the SL belief is updated based upon the likelihood that one of the attributes was observed. The paper then illustrates properties of the partial observable updates as a function of the state likelihood and illustrates the use of these likelihoods for a trust estimation application. Finally, the utility of the partial observable updates is demonstrated via various simulations including the trust estimation case.
机译:主观逻辑(SL)是一种概率逻辑,适用于对不确定性和知识不完整的情况进行推理。近年来,SL通过Dirichlet分布将命题的信念和不确定性与严格的统计特征联系起来,引起了多主体系统社区的极大关注。但是,SL的一个严重局限性是仅基于完全可观察的证据才能完成信念更新。这项工作扩展了SL,以结合部分可观察到的证据的信念更新。通常,SL中的信念更新假定一个命题的当前证据仅指向其互斥属性状态之一。取而代之的是,这项工作认为当前的属性状态可能无法完全观察到,而只能获得与该状态在统计上相关的度量。换句话说,基于观察到属性之一的可能性来更新SL信念。然后,本文说明了部分可观察的更新的属性与状态可能性的关系,并说明了这些可能性在信任估计应用中的使用。最后,通过各种模拟(包括信任估计情况)演示了部分可观察更新的实用性。

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