Accepting and Modeling Uncertainty

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State: Public
Version: Final published version
License: CC BY-SA 4.0
Serval ID
serval:BIB_2ECC55F788D3
Type
Article: article from journal or magazin.
Collection
Publications
Title
Accepting and Modeling Uncertainty
Journal
Zeitschrift für digitale Geisteswissenschaften
Author(s)
Piotrowski Michael
ISSN
2510-1366
Publication state
Published
Issued date
2019
Volume
Sonderband 4
Language
english
Abstract
This article aims to outline the challenge of uncertainty for the construction of computational models in the humanities. Since we can neither ignore nor eliminate uncertainty, we need to model it, and so we need computational models of uncertainty. Such models already exist and are being used in practical applications. There is ongoing fundamental research on uncertainty and its representation in mathematics, philosophy, and computer science. Some of these approaches may be suitable for modeling uncertainty in the humanities—but we are still lacking the »bridge« that could relate the uncertainty encountered in the humanities to such formal modeling frameworks. We argue that DH needs to go beyond project-specific models of uncertainty and consider uncertainty more generally; in particular, we must closely examine various types of uncertainty in the humanities and seek to develop more general frameworks for handling it.
Keywords
Digital humanities, modeling, uncertainty
Publisher's website
Open Access
Yes
Create date
15/08/2019 22:07
Last modification date
16/09/2019 7:08
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