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Information exchange, meaning and redundancy generation in anticipatory systems: self-organization of expectations -- the case of Covid-19
arXiv - CS - Computers and Society Pub Date : 2021-05-25 , DOI: arxiv-2106.07432
Inga A. Ivanova

When studying the evolution of complex systems one refers to model representations comprising various descriptive parameters. There is hardly research where system evolution is described on the base of information flows in the system. The paper focuses on the link between the dynamics of information and system evolution. Information, exchanged between different system's parts, before being processed is first provided with meaning by the system. Meanings are generated from the perspective of hindsight, i.e. against the arrow of time. The same information can be differently interpreted by different system's parts (i,e,provided with different meanings) so that the number of options for possible system development is proliferated. Some options eventually turn into observable system states. So that system evolutionary dynamics can be considered as due to information processing within the system. This process is considered here in a model representation. The model under study is Triple Helix (TH) model, which was earlier used to describe interactions between university, industry and government to foster innovations. In TH model the system is comprised of three interacting parts where each part process information ina different way. The model is not limited to the sphere of innovation and can be used in a broader perspective. Here TH is conceptualized in the framework of three compertment model used to describe infectious disease. The paper demonstrates how the dynamics of information and meaning can be incorporated in the description of Covid-19 infectious propagation. The results show correspondence of model predictions with observable infection dynamics.

中文翻译:

预期系统中的信息交换、意义和冗余生成:期望的自组织——以 Covid-19 为例

在研究复杂系统的演化时,人们指的是包含各种描述性参数的模型表示。几乎没有研究基于系统中的信息流来描述系统演化。该论文侧重于信息动态与系统演化之间的联系。在不同系统部分之间交换的信息在被处理之前首先由系统提供意义。意义是从后见之明的角度产生的,即逆着时间之箭。相同的信息可以被不同系统的部分不同地解释(即,提供不同的含义),从而使可能的系统开发的选项数量激增。一些选项最终会变成可观察的系统状态。因此,系统演化动力学可以被认为是由于系统内部的信息处理。此处在模型表示中考虑了该过程。正在研究的模型是三重螺旋 (TH) 模型,该模型早期用于描述大学、行业和政府之间的互动以促进创新。在 TH 模型中,系统由三个相互作用的部分组成,其中每个部分以不同的方式处理信息。该模型不仅限于创新领域,还可以用于更广阔的视野。这里 TH 在用于描述传染病的三个能力模型的框架中被概念化。该论文展示了如何将信息和意义的动态整合到 Covid-19 传染性传播的描述中。
更新日期:2021-06-15
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