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Collaborative Construction and Structuring of Explanations in Knowledge-Based Systems: A Discursive Framework

机译:基于知识系统的解释的协作构建与结构:一种话语框架

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Explanations are important to users in a number of situations. They provide knowledge about how the system works, what the system knows and does, and why its actions and recommendations are appropriate. Most of the previous approaches to explanations are designed for those types of knowledge-based systems that attempt to capture the knowledge of a narrow application domain. The current tendency to move beyond closed systems to globally open ones creates opportunities but also some challenges. For example, it is a challenge for designers to cope with the dynamic and global nature of information and knowledge represented in the system as well as to structure explanations at the time of design so that they are appropriate at the time of use. This paper contributes to the current literature on explanation, by presenting a discursive framework for collaborative construction and structuring of explanations. It particularly illustrates how the model can be used for the following purposes: (a) for critical reflection on explanations at the time of design and use, (b) for management of justification-type explanation knowledge, and (c) for presentation of explanations. This paper contents that the discursive model, with its concepts and structures, provides a means for collective reflection, modification and validation of explanation knowledge. It can, thus, support the evolution of explanations along with the knowledge domain.
机译:解释是对用户很重要的一些情况。它们提供关于系统是如何工作的,什么系统知道和做的,为什么它的行动和建议是适当的知识。大多数以前的方法来解释是专为那些试图捕捉一个狭窄的应用领域的知识类型的知识为基础的系统。超越封闭的系统在全球范围内开放的人目前的趋势创造了机会,但也面临一些挑战。例如,它是设计师应对动态的系统,以及在设计的时间,使他们在使用的时候适当的结构解释所表示的信息和知识的全球性挑战。本文有助于目前的文献上的说明中,通过呈现话语框架协作构造和解释的结构。它特别示出了模型如何可以用于以下目的:(a)用于上解释在设计和使用的时间的理由型解释知识管理,以及(c)用于解释呈现临界反射,(b)中。本文内容,该话语模型,以其概念和结构,提供了一种用于集体反射,修改和解释的知识验证的手段。它可以,因此,支持解释的演变与知识领域一起。

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