Decision-making under uncertainty: beyond probabilities Challenges and perspectives

This position paper reflects on the state-of-the-art in decision-making under uncertainty. A classical assumption is that probabilities can sufficiently capture all uncertainty in a system. In this paper, the focus is on the uncertainty that goes beyond this classical interpretation, particularly by...

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Vydané v:	International journal on software tools for technology transfer Ročník 25; číslo 3; s. 375 - 391
Hlavní autori:	Badings, Thom, Simão, Thiago D., Suilen, Marnix, Jansen, Nils
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023
Predmet:	Computer Science Explanation Paradigms Leveraging Analytic Intuition Software Engineering Software Engineering/Programming and Operating Systems Theory of Computation Formal abstractions Epistemic uncertainty Partially observable Markov decision process Decision-making under uncertainty Reinforcement learning Markov decision process Aleatoric uncertainty
ISSN:	1433-2779, 1433-2787
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