Data Visualisation of Complex Adaptive Systems

Satyendra Sinha, Z. Chaczko
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Abstract

In Complex Adaptive Systems, the complexity of a construct is predicated by its heterogenic entities and the dynamic nature of their interactions. These interactions are often non-probablistic and triggered as a consequence of potentially multiple previous effects, which can lead to emergent behaviours of the overall system not present in the individual sub-systems. These systems are ubiquitous, not only in natural habitats and within living organisms but also in human-made constructs such as communities, organisations and technology that often have a life of their own. Human-made constructs are particularly interesting due to the data generated that can be unstructured, multidimensional and dynamic, often containing outlier data that may be considered anomalous but can still have critical impact. Complex adaptive data or data generated from Complex Adaptive Systems have interesting ramifications, particularly for data visualisation. Due to the unpredictable nature of complex adaptive data well known forms of data visualisation such as bar charts, scatter plots and heatmaps are inadequate in effectively communicating the data stories in Complex Adaptive Systems. There is a need for more advanced data visualisations that caters for complex adaptive data as it can serve as an educational and decision-making tool for experimentation of ideas in systems that are complex and adaptive.
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复杂适应系统的数据可视化
在复杂适应系统中,结构的复杂性是由其异构实体及其相互作用的动态性质来预测的。这些相互作用通常是非概率的,并且是由于潜在的多个先前效应而触发的,这可能导致整个系统的紧急行为,而不是在单个子系统中出现。这些系统无处不在,不仅存在于自然栖息地和生物体内,而且存在于社区、组织和技术等通常具有自身生命的人造结构中。人造结构特别有趣,因为生成的数据可以是非结构化的、多维的和动态的,通常包含可能被认为是异常的异常数据,但仍然可以产生关键影响。复杂自适应数据或由复杂自适应系统生成的数据具有有趣的分支,特别是对于数据可视化。由于复杂自适应数据的不可预测性,众所周知的数据可视化形式,如条形图、散点图和热图,不足以有效地传达复杂自适应系统中的数据故事。我们需要更先进的数据可视化,以适应复杂的自适应数据,因为它可以作为一种教育和决策工具,用于在复杂和自适应的系统中进行思想实验。
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