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Trust Evaluation for Reliable Electronic Transactions between Business Partners

机译:商业伙伴之间可靠电子交易的信任评估

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摘要

In this era of digital economy, commercial relationships between business partners are increasing in flexibility, with new business binds being created whenever a business opportunity arises. Moreover, the instability in demand increases the need for enterprises to procure new partners as well as the associated risk of dealing with partners that may be unknown beforehand. Therefore, enterprises need mechanisms that allow to evaluate the confidence they have on their current and potential new, unknown, partners, and to monitor this confidence in a continuous and automatic way. This paper presents our computational trust model, which was inspired in the concept of the hysteresis of trust and betrayal and in the asymmetry principle of human psychology. Our model allows to estimate the trustworthiness of agents using different features of the dynamics of trust. Additionally, we present a study on the effect of preselecting partners based on their trustworthiness in automated negotiation processes. The study was conducted experimentally using our agent-based Electronic Institution framework for e-Contracting, which includes a normative environment and an automatic negotiation service, as well as the mentioned computational trust service. The results obtained show that, in identified conditions, business clients benefit from preselecting partners based on trust prior to the negotiation phase.
机译:在这个数字经济时代,业务合作伙伴之间的商业关系越来越灵活,只要有商机出现,就会建立新的业务绑定。而且,需求的不稳定增加了企业购买新合作伙伴的需求,以及与合作伙伴打交道的风险,而这种风险可能是事先未知的。因此,企业需要一种机制来评估他们对当前和潜在的新的,未知的合作伙伴的信心,并以连续和自动的方式监视这种信心。本文介绍了我们的计算信任模型,该模型受到信任和背叛的滞后概念以及人类心理学的不对称原理的启发。我们的模型允许使用信任动态的不同特征来估计代理的信任度。此外,我们基于自动协商过程中的信任度提出了关于预选合作伙伴效果的研究。该研究是使用我们基于代理的电子合同电子合同框架通过实验进行的,该框架包括规范性环境,自动协商服务以及上述计算信任服务。获得的结果表明,在确定的条件下,业务客户可以从协商阶段之前基于信任的预选伙伴中受益。

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