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Scale-free structure in concept lattices associated to complex systems

机译:与复杂系统相关联的概念格的无垢结构

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Qualitative representation and reasoning on Complex Systems (CS) is important for a number of human activities on CS, mainly for the understanding of both, our perception about their structure as well as their dynamics. Formal Concept Analysis can help understanding the conceptual structure behind these qualitative representations by means of the called concept lattices (CL). In this paper the scale free conceptualization hypothesis, (SFCH) is asserted. SFCH claims that a scale-free distribution in node's connectivity appears on the CL associated to complex systems (CLCS) only when two requirements holds: CLCS is useful both to represent qualitative and reliable attributes on the CS, and to provide a basis for (qualitative) successfully reasoning about the CS. Experiments revealed that the topologies of CLCS are similar when the amount of information on the CS is sufficient, while it is different in other concept lattices associated to random formal contexts or to other systems in which some of the above requirements do not hold.
机译:复杂系统(CS)的定性表现和推理对于CS的许多人类活动至关重要,主要用于了解两者,我们对其结构以及动态的看法。正式的概念分析可以通过被称为概念格(CL)来帮助了解这些定性表示背后的概念结构。在本文中,无规模无概念化假设(SFCH)。 SFCH声明节点的连接中的无垢分布仅在与复杂系统(CLCS)相关联的CL上显示:CLCS非常有用,以代表CS上的定性和可靠的属性,并提供基础(定性)成功推理CS。实验表明,当CS上的信息量足够时,CLC的拓扑是相似的,而在与随机形式背景相关联的其他概念格子或其他一些系统中的其他系统中的其他概念晶格不同,其中一些概念不存在。

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