A computational model of trust and reputation

L. Mui, M. Mohtashemi, A. Halberstadt
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引用次数: 1062

Abstract

Despite their many advantages, e-businesses lag behind brick and mortar businesses in several fundamental respects. This paper concerns one of these: relationships based on trust and reputation. Recent studies on simple reputation systems for e-Businesses such as eBay have pointed to the importance of such rating systems for deterring moral hazard and encouraging trusting interactions. However, despite numerous studies on trust and reputation systems, few have taken studies across disciplines to provide an integrated account of these concepts and their relationships. This paper first surveys existing literatures on trust, reputation and a related concept: reciprocity. Based on sociological and biological understandings of these concepts, a computational model is proposed. This model can be implemented in a real system to consistently calculate agents' trust and reputation scores.
信任和声誉的计算模型
尽管电子商务有许多优势,但在几个基本方面仍落后于实体企业。本文关注的是其中之一:基于信任和声誉的关系。最近对电子商务(如eBay)的简单声誉系统的研究指出,这种评级系统对于阻止道德风险和鼓励信任互动的重要性。然而,尽管有许多关于信任和声誉系统的研究,很少有跨学科的研究来提供这些概念及其关系的综合说明。本文首先回顾了现有的关于信任、声誉和互惠概念的文献。基于对这些概念的社会学和生物学理解,提出了一个计算模型。该模型可以在实际系统中实现,以一致地计算代理的信任和声誉得分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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