反应性常识推理中的模糊商

M. Cebulla
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引用次数: 1

摘要

在当代分布式应用中,关于协调的问题变得越来越紧迫。但是,在需要高度反应性的行为和需要语义丰富的高级抽象之间需要进行权衡。特别是w.r.t.上下文感知的应用程序,其中各种系统必须一起行动并得出协调一致的结论,因此对强大的语义抽象的需求是显而易见的。我们的研究是基于这样一种观察,即人类团队在协调方面非常出色(与技术系统相比)。因此,我们选择了一种能够把握人类行为细节的常识推理方法。这种方法的一个特点是模糊商的使用,它与颗粒的概念非常相似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Quotients in Reactive Common Sense Reasoning
In contemporary distributed applications questions concerning coordination have become increasingly urgent. There is a trade-off however to be made between the need for a highly reactive behavior and the need for semantically rich high level abstractions. Especially w.r.t. context-aware applications where various systems have to act together and come to coordinated conclusions the need for powerful semantic abstractions is evident. Our research is based on the observation that human teams are very good in coordinating (when compared to technical systems). Consequently we chose an approach of common sense reasoning which is capable to grasp the specifics of human behavior. One specific in this approach is the usage of fuzzy quotients which bears strong similarities to the notion of granules.
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