Multi-scale structures are prevalent in both natural and artificial systems, as they can handle increasing complexity. Several terms are employed almost interchangeably across various application domains to refer to the multi-scale concept - e.g., hierarchy, holarchy, multi-level, multi-layer, nested, embedded, micro-macro or coarse graining. While the concrete meanings behind these terms may differ slightly, several core commonalities persist across all cases. In this position paper we aim to highlight these common features of the multi-scale concept, as a preliminary basis for a generic theory of multi-scale systems. We discuss the concepts of scale and multi-scale systems in general, and then of multi-scale feedback systems in particular, focusing on the role played by information in such systems. Our long-term objective is to develop a general theory of multi-scale feedback systems, applicable across all domains dealing with complex systems.
翻译：多规模结构在自然和人工系统中都很普遍,因为它们可以处理日益复杂的问题。几个术语在各种应用领域几乎可以互换地使用,以提及多规模概念,例如等级、高层次、多层次、多层次、多层次、多层次、嵌套、嵌入、微型和粗粗粮等。虽然这些术语的具体含义可能略有不同,但在所有情况中,仍然存在着一些核心共同点。在本立场文件中,我们的目的是强调多尺度概念的这些共同点,作为多尺度系统通用理论的初步基础。我们讨论了一般规模和多尺度系统的概念,特别是多尺度反馈系统的概念,重点是信息在这类系统中发挥的作用。我们的长期目标是发展一套适用于复杂系统所有领域的多尺度反馈系统的一般理论。我们的目标是,在与复杂系统有关的所有领域,制定一套通用的多尺度反馈系统。
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