Model uncertainty: When modeling risk leads to a pretense of knowledge

The main purpose of the paper is to develop a concept of model uncertainty as opposed to the existing and well-established concept of model risk. Up to date the broad literature on probability not only developed complete probability systems, but also correctly noticed limitations of probability calc...

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Main Author: Mateusz Machaj
Format: Article
Language:deu
Published: Copernicus Center Press 2024-12-01
Series:Zagadnienia Filozoficzne w Nauce
Subjects:
Online Access:https://zfn.edu.pl/index.php/zfn/article/view/679
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author Mateusz Machaj
author_facet Mateusz Machaj
author_sort Mateusz Machaj
collection DOAJ
description The main purpose of the paper is to develop a concept of model uncertainty as opposed to the existing and well-established concept of model risk. Up to date the broad literature on probability not only developed complete probability systems, but also correctly noticed limitations of probability calculus. Despite the acknowledgement of such probability restrictions, drawbacks of modeling are often related to model risk. We present an argument here to distinguish a feature limiting models even further: model uncertainty. The tenets of it already exist in the literature on probability, but were not properly emphasized while the idea of model risk was developed. Our plan it to start with a broad overview of the existing knowledge about probability in order to start with fundamental principles. From them we are deriving a new concept of model uncertainty.
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institution Kabale University
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series Zagadnienia Filozoficzne w Nauce
spelling doaj-art-09e0348ae94447e88ff9d1146f6717042024-12-31T19:19:08ZdeuCopernicus Center PressZagadnienia Filozoficzne w Nauce0867-82862451-06022024-12-017615117510.59203/zfn.76.679627Model uncertainty: When modeling risk leads to a pretense of knowledgeMateusz Machaj0University of New York in PragueThe main purpose of the paper is to develop a concept of model uncertainty as opposed to the existing and well-established concept of model risk. Up to date the broad literature on probability not only developed complete probability systems, but also correctly noticed limitations of probability calculus. Despite the acknowledgement of such probability restrictions, drawbacks of modeling are often related to model risk. We present an argument here to distinguish a feature limiting models even further: model uncertainty. The tenets of it already exist in the literature on probability, but were not properly emphasized while the idea of model risk was developed. Our plan it to start with a broad overview of the existing knowledge about probability in order to start with fundamental principles. From them we are deriving a new concept of model uncertainty.https://zfn.edu.pl/index.php/zfn/article/view/679uncertaintyfrank knightmodel riskmodel uncertainty
spellingShingle Mateusz Machaj
Model uncertainty: When modeling risk leads to a pretense of knowledge
Zagadnienia Filozoficzne w Nauce
uncertainty
frank knight
model risk
model uncertainty
title Model uncertainty: When modeling risk leads to a pretense of knowledge
title_full Model uncertainty: When modeling risk leads to a pretense of knowledge
title_fullStr Model uncertainty: When modeling risk leads to a pretense of knowledge
title_full_unstemmed Model uncertainty: When modeling risk leads to a pretense of knowledge
title_short Model uncertainty: When modeling risk leads to a pretense of knowledge
title_sort model uncertainty when modeling risk leads to a pretense of knowledge
topic uncertainty
frank knight
model risk
model uncertainty
url https://zfn.edu.pl/index.php/zfn/article/view/679
work_keys_str_mv AT mateuszmachaj modeluncertaintywhenmodelingriskleadstoapretenseofknowledge