Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Nico, Potyka"'
Quantitatively explaining the strength of arguments under gradual semantics has recently received increasing attention. Specifically, several works in the literature provide quantitative explanations by computing the attribution scores of arguments.
Externí odkaz:
http://arxiv.org/abs/2404.14304
Autor:
Anthony Hunter, Nico Potyka
Publikováno v:
Artificial Intelligence. 321:103934
Autor:
Nico Potyka
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:6463-6470
We show that an interesting class of feed-forward neural networks can be understood as quantitative argumentation frameworks. This connection creates a bridge between research in Formal Argumentation and Machine Learning. We generalize the semantics
Publikováno v:
The Semantic Web – ISWC 2022 ISBN: 9783031194320
Lecture Notes in Computer Science
Lecture Notes in Computer Science-The Semantic Web – ISWC 2022
Lecture Notes in Computer Science
Lecture Notes in Computer Science-The Semantic Web – ISWC 2022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e2b7ae2eb0dd7e74a4bbe3277a6ad97
https://doi.org/10.1007/978-3-031-19433-7_2
https://doi.org/10.1007/978-3-031-19433-7_2
Autor:
Nico Potyka
Publikováno v:
International Journal of Approximate Reasoning. 115:265-289
Probabilistic argumentation allows reasoning about argumentation problems in a way that is well-founded by probability theory. However, in practice, this approach can be severely limited by the fact that probabilities are defined by adding an exponen
Publikováno v:
International Journal of Approximate Reasoning. 113:207-244
In an epistemic graph, belief in arguments is represented by probability distributions. Furthermore, the influence that belief in arguments can have on the belief in other arguments is represented by constraints on the probability distributions. Diff
Autor:
Nico Potyka
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030867713
ECSQARU
ECSQARU
Computational models of argumentation are an interesting tool to represent decision processes. Bipolar abstract argumentation studies the question of which arguments a rational agent can accept given attack and support relationships between them. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa4e20107aa0e7735a703c60467ece5f
https://doi.org/10.1007/978-3-030-86772-0_10
https://doi.org/10.1007/978-3-030-86772-0_10
Autor:
Nico Potyka
Publikováno v:
KR
Bipolar abstract argumentation frameworks allow modeling decision problems by defining pro and contra arguments and their relationships. In some popular bipolar frameworks, there is an inherent tendency to favor either attack or support relationships