本文英文内容来自于https://docs.google.com/document/d/1P6Oz08vNjrJO1H3HmBkuh4BIVm3-0YAe4nqo-xfT4v0/edit，由Joanna翻译，转载请注明！
内容摘要：本文是Scatter 的RIDL原文翻译，主要内容是Scatter RIDL信誉的影响因素、逻辑信誉榜等。译文若有不当之处还望指出，欢迎感兴趣的朋友多多交流
一、信誉是由上下文划分的
给定实体的信誉不能是奇异的二进制表示。这样，RIDL在其核心实现分区信誉。然而，当涉及到更广泛的信誉感知时，明晰性是一个问题。
为了定义有用信誉的上下文，我们必须看看是什么构成了基本特征两侧的内容。不同的事物定义整体的信誉，以及我们感知实体的方式。
应用程序
·安全性
·机密性
·能力
·用户体验
用户ID名称
·偿付能力
·规矩
信任本身是建立在声誉的各个部分的顶点之上的。
二、信誉衰退
当我们谈论信誉时，重要的是要注意到我们曾经是谁，而对于我们此刻的身份并不需要明确。随着时间的推移，信誉会下降，因为更多的信誉流动会改变我们对自己的看法。比如，一个人去年没有能力按时支付账单，并不意味着他今年不会。
三、逻辑信誉榜
RIDL使用逻辑增长/衰减算法计算信誉地位。用户和应用程序能够快速地在RIDL中被定义为具有良好的地位或不好的地位，某些东西在开始时可以快速地来回变化，但随着时间的推移将变得更难恢复，尤其是应用程序。
这也使得单个用户、用户组或应用程序对单个ID产生负面或积极影响是非常困难和昂贵的。
英语原文如下：
Reputations are partitioned by context
The reputation that is given to an entity cannot be a singular binary representation. As such a RIDL implements a partitioned reputation at its core. However, specificity is an issue when it comes to the broader perception of reputation.
In order to define the contexts of useful reputation we must look at what makes up the basic traits on both sides of the scale. Different things define reputation as a whole, and the way we perceive an entity.
Applications
·Security
·Confidentiality
·Competence
·User-Experience
Users Identity Name
·Solvency
·Etiquette
Trust itself is built from the culmination of all parts of a reputation.
Reputation Decay
When we talk about reputation it’s important to note that who we once were is not definitive to who we are at this moment in time. Reputations must degrade over time as more reputation flows in which can change the overall perception of who we are. Just because a person didn’t have the ability to pay their bills on time last year doesn’t mean they don’t this year.
Logistic Reputation Standings
RIDL uses a logistic growth/decay algorithm for calculating Reputation Standing. Users and applications are able to quickly be defined within the RIDL as either having a Good Standing or a Bad Standing, something which can change quickly back and forth at the beginning but will be much harder to revert as time passes, especially with applications.
This also makes it very hard and costly for a single user, a group of users or an application to negatively or positively impact a single Identity.
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