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复杂物联网传感器网络中理想的系统不确定性——一般预期性前瞻性视角

The Desirable Systemic Uncertainty in Complex IoT Sensor Networks-General Anticipatory Foresight Perspective.

作者信息

Magruk Andrzej

机构信息

Faculty of Engineering Management, Bialystok University of Technology, 45A, Wiejska Street, 15-351 Bialystok, Poland.

出版信息

Sensors (Basel). 2022 Feb 22;22(5):1698. doi: 10.3390/s22051698.

Abstract

A wide methodological spectrum regarding future research is offered by anticipation studies, with a special role of foresight studies. Many studies of this type focus on generating the desired future, taking into account the fact that it is accompanied by uncertainty. The author of this publication postulates treating uncertainty as an equivalent-in relation to the future-research object. This approach allows us to formulate general assumptions for a model of the anticipatory management of systemic uncertainty in IoT networks. The goal of such a model will not be to eliminate or even minimize uncertainty, but to regulate it to a desired level. Such an action can bring many more benefits than trying to zero out uncertainty. On the general side, uncertainty can be studied in two ways: (1) as an abstract idea, or (2) as a feature of a particular structure, also with elements of research on its abstract component. In this paper the attention is focused on the second approach. The main research area is the IoT network in its broadest sense, with a particular role of the social construct, in the context of the study of systemic uncertainty in relation to selected anticipatory actions. The overarching goal is to define a desired state, or to determine what such a desired state is, of anticipatory IoT uncertainty.

摘要

预期研究为未来研究提供了广泛的方法论范围,其中前瞻性研究具有特殊作用。许多这类研究专注于创造理想的未来,同时考虑到未来伴随着不确定性这一事实。本出版物的作者假定将不确定性视为与未来研究对象等同的事物。这种方法使我们能够为物联网网络中系统性不确定性的预期管理模型制定一般假设。这样一个模型的目标不是消除甚至最小化不确定性,而是将其调节到期望的水平。这种行动能带来比试图将不确定性归零更多的好处。从总体上来说,不确定性可以通过两种方式进行研究:(1)作为一种抽象概念,或者(2)作为特定结构的一个特征,同时也涉及对其抽象成分的研究。本文将注意力集中在第二种方法上。主要研究领域是最广义的物联网网络,在与选定预期行动相关的系统性不确定性研究背景下,社会建构具有特殊作用。总体目标是定义预期物联网不确定性的理想状态,或者确定这样的理想状态是什么。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01b3/8914765/f57de49382a4/sensors-22-01698-g001.jpg

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