An Empirical Evaluation of Geometric Subjective Logic Operators

An Empirical Evaluation of Geometric Subjective Logic Operators
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几何主观逻辑算子的实证评价

DOI:
10.1007/978-3-642-39860-5_8
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发表时间:
2013
期刊:
Proceedings of the AAAI Conference on Artificial Intelligence
影响因子:
--
通讯作者:
T. Norman
T. Norman
中科院分区:
--
文献类型:
--
作者:
F. Cerutti;Alice Toniolo;N. Oren;T. Norman

文献摘要

被引文献

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计算信任机制旨在根据有关代理行为的直接和间接信息产生信任评级。 Josang的主观逻辑通过其融合和折扣算子已被广泛采用作为此类系统的核心。最近,我们提出了一种基于几何属性来折扣意见的算子,并且,继续这一研究方向,本文描述了一种新的基于几何的融合算子。我们在信任系统的背景下与我们的几何折扣算子一起评估这个融合算子,并表明我们的算子优于 Josang 最初描述的算子。我们工作的核心优势是,可以使用这些操作符而无需修改信任和声誉系统的其余部分。
Computational trust mechanisms aim to produce a trust rating from both direct and indirect information about agents behaviour. Josang's Subjective Logic has been widely adopted as the core of such systems via its fusion and discount operators. Recently we proposed an operator for discounting opinions based on geometrical properties, and, continuing this line of investigation, this paper describes a new geometry based fusion operator. We evaluate this fusion operator together with our geometric discount operator in the context of a trust system, and show that our operators outperform those originally described by Josang. A core advantage of our work is that these operators can be used without modifying the remainder of the trust and reputation system.