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pro vyhledávání: '"Wieten, Remi"'
We propose a human-centred explanation method for rule-based automated decision-making systems in the legal domain. Firstly, we establish a conceptual framework for developing explanation methods, representing its key internal components (content, co
Externí odkaz:
http://arxiv.org/abs/2310.16704
Publikováno v:
In International Journal of Approximate Reasoning September 2021 136:249-280
Publikováno v:
Argument & Computation; 2022, Vol. 13 Issue 1, p49-91, 43p
Autor:
Wieten, Remi, Bex, Floris, Prakken, Henry, Renooij, Silja, Kern-Isberner, Gabriele, Ognjanović, Zoran, Intelligent Systems, Decision Support Systems, Sub Intelligent Systems, Sub Decision Support Systems
Publikováno v:
Symbolic and quantitative approaches to reasoning with uncertainty: 15th European Conference, ECSQARU 2019, Belgrade, Serbia, September 18-20, 2019, proceedings, 99-110
STARTPAGE=99;ENDPAGE=110;TITLE=Symbolic and quantitative approaches to reasoning with uncertainty
Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 11726(1), 99. Springer Cham
Lecture Notes in Computer Science ISBN: 9783030297640
ECSQARU
STARTPAGE=99;ENDPAGE=110;TITLE=Symbolic and quantitative approaches to reasoning with uncertainty
Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 11726(1), 99. Springer Cham
Lecture Notes in Computer Science ISBN: 9783030297640
ECSQARU
Bayesian networks (BNs) are powerful tools that are well-suited for reasoning about the uncertain consequences that can be inferred from evidence. Domain experts, however, typically do not have the expertise to construct BNs and instead resort to usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2825ca2ccb4ab1d8e3add881377482d
https://dspace.library.uu.nl/handle/1874/427793
https://dspace.library.uu.nl/handle/1874/427793
Akademický článek
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