Abstract
The Uncertainty of Information (UoI) concept is based on the premise is that all uncertainty is not equal. Uncertainty can have greater or lesser impact based on what caused the uncertainty. Thus, UoI focuses on providing a description that can be linked to the numerical value that represents the uncertainty. This can allow greater understanding of the category of uncertainty and improve the decisions that are impacted by different categories of uncertainties.
In our previous paper, we explored how the concept of Black Swan events can be extended to different colors of swans. The severity of the uncertainty and its impact can be expressed utilizing different color swans. The categories of uncertainty described in the UoI is complementary to the idea with the different color swans. In this paper, we will continue to explore UoI and swan colors. We will expand on the network use case presented in the first paper by applying UoI to network monitoring metrics. Finally, we will present a graphical user interface that could be used to quantify uncertainty to aid decision makers.
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Raglin, A., Newcomb, A., Scott, L. (2024). Uncertainty of Information Applied to Network Monitoring Metrics. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2024. Lecture Notes in Computer Science(), vol 14734. Springer, Cham. https://doi.org/10.1007/978-3-031-60606-9_23
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DOI: https://doi.org/10.1007/978-3-031-60606-9_23
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