Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Borg, AnneMarie"'
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
Autor:
Borg, AnneMarie, Bex, Floris
In this paper we discuss contrastive explanations for formal argumentation - the question why a certain argument (the fact) can be accepted, whilst another argument (the foil) cannot be accepted under various extension-based semantics. The recent wor
Externí odkaz:
http://arxiv.org/abs/2107.03265
Autor:
Borg, AnneMarie, Bex, Floris
Publikováno v:
In International Journal of Approximate Reasoning May 2024 168
Autor:
Borg, AnneMarie, Bex, Floris
In this paper, we discuss necessary and sufficient explanations for formal argumentation - the question whether and why a certain argument can be accepted (or not) under various extension-based semantics. Given a framework with which explanations for
Externí odkaz:
http://arxiv.org/abs/2011.02414
Publikováno v:
In Artificial Intelligence September 2023 322
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Borg, AnneMarie, Straßer, Christian
We study properties related to relevance in non-monotonic consequence relations obtained by systems of structured argumentation. Relevance desiderata concern the robustness of a consequence relation under the addition of irrelevant information. For a
Externí odkaz:
http://arxiv.org/abs/1809.04861
Autor:
Borg, AnneMarie
In many expert and everyday reasoning contexts it is very useful to reason on the basis of defeasible assumptions. For instance, if the information at hand is incomplete we often use plausible assumptions, or if the information is conflicting we inte
Externí odkaz:
http://arxiv.org/abs/1804.08674
Publikováno v:
In Intelligent Systems with Applications November 2022 16
In this paper we present an agent-based model (ABM) of scientific inquiry aimed at investigating how different social networks impact the efficiency of scientists in acquiring knowledge. As such, the ABM is a computational tool for tackling issues in
Externí odkaz:
http://arxiv.org/abs/1612.04432