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首页> 外文会议>International Conference on Conceptual Modeling(ER 2004): Workshops on CoMoGIS, CoMWIM, ECDM, CoMoA, DGOV, and eCOMO; 20041108-12; Shanghai(CN) >Subjective Trust Inferred by Kalman Filtering vs. a Fuzzy Reputation
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Subjective Trust Inferred by Kalman Filtering vs. a Fuzzy Reputation

机译：卡尔曼滤波与模糊声誉推断的主观信任

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摘要

Inferring Trust in dynamic and subjective environments is an interesting issue in the way to obtain a complete delegation of humanlike decisions in autonomous agents. Complex mathematical algorithms have been proposed by academic researchers to be applied when there are no universally accepted evaluation criteria. In this paper we propose a method based on fuzzy logic that has been successfully compared with several of these alternatives. Our innovative approach is compared with a classic estimation method known as kalman. The convergence of both methods has been tested in a multiagent scenario where the subjectivity of evaluations adopt prefixed variability.
机译：在动态和主观环境中推断信任是在自治代理中获得人性化决策的完全委派的一个有趣问题。学术研究人员已经提出了复杂的数学算法，可以在没有公认的评估标准时应用。在本文中，我们提出了一种基于模糊逻辑的方法，该方法已成功地与其中的几种方法进行了比较。我们的创新方法与称为卡尔曼的经典估算方法进行了比较。两种方法的收敛性已在多主体方案中进行了测试，其中评估的主观性采用了前缀可变性。

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