Decision making and partner selection based on trust in multi-context environment

J. Samek, Ondrej Malacka, F. Zboril, F. Zboril
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引用次数: 1

Abstract

Currently there are exist many different trust models for different purposes. These models are often used for collaborative filtering to find partner for interaction in distributed systems. Most of these models simple uses decision making and partner selection approaches based on highest trust level selection method to choose an entity for an interaction. We assume that decision making and selection most reliable partner based on trust require more complex solutions because it is key aspect when evaluating an efficient trust model. In this article we compares two different kind of partner selection methods based on highest trust level selection and the roulette wheel selection.
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多情境下基于信任的决策与伙伴选择
目前,针对不同的目的存在着许多不同的信任模型。这些模型通常用于协作过滤,以寻找分布式系统中的交互伙伴。这些模型大多简单地使用基于最高信任级别选择方法的决策制定和伙伴选择方法来选择用于交互的实体。我们假设基于信任的决策和选择最可靠的合作伙伴需要更复杂的解决方案,因为这是评估有效信任模型的关键方面。本文比较了基于最高信任水平选择和基于轮盘赌轮选择的两种不同的伙伴选择方法。
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