Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Roos, Nico"'
Autor:
Roos, Nico
Publikováno v:
Artificial Intelligence 57 (1992) 69-103
In many situations humans have to reason with inconsistent knowledge. These inconsistencies may occur due to not fully reliable sources of information. In order to reason with inconsistent knowledge, it is not possible to view a set of premisses as a
Externí odkaz:
http://arxiv.org/abs/2411.10197
With the next generation of big telescopes such as the ELT and SKA it might become possible to measure changes in the expansion rate of the Universe in real time by measuring the change of the redshifts of a large number of galaxies over a period of
Externí odkaz:
http://arxiv.org/abs/2410.08741
Autor:
Roos, Nico
Publikováno v:
Computational Intelligence 16:3 (2000) 469-497
Argument systems are based on the idea that one can construct arguments for propositions; i.e., structured reasons justifying the belief in a proposition. Using defeasible rules, arguments need not be valid in all circumstances, therefore, it might b
Externí odkaz:
http://arxiv.org/abs/2209.09838
Autor:
Roos, Nico
Publikováno v:
Intelligent Systems Engineering 2 (1993) 107-118
In this paper an efficient model based diagnostic process is described for systems whose components possess a causal relation between their inputs and their outputs. In this diagnostic process, firstly, a set of focuses on likely broken components is
Externí odkaz:
http://arxiv.org/abs/2209.09819
Autor:
Roos, Nico
Publikováno v:
Artificial Intelligence and Machine Learning, Communications in Computer and Information Science 1398 (2021) 122-140
A semantic tableau method, called an argumentation tableau, that enables the derivation of arguments, is proposed. First, the derivation of arguments for standard propositional and predicate logic is addressed. Next, an extension that enables reasoni
Externí odkaz:
http://arxiv.org/abs/2209.04759
Autor:
Bei, Jonas, Pomerenke, David, Schreiner, Lukas, Sharbaf, Sepideh, Collins, Pieter, Roos, Nico
Learning arguments is highly relevant to the field of explainable artificial intelligence. It is a family of symbolic machine learning techniques that is particularly human-interpretable. These techniques learn a set of arguments as an intermediate r
Externí odkaz:
http://arxiv.org/abs/2202.00383
Autor:
Qiao, Wenzhao, Roos, Nico
Publikováno v:
Proceedings of the 15th International Workshop on Non-Monotonic Reasoning (NMR 2014)
The semantic web is an open and distributed environment in which it is hard to guarantee consistency of knowledge and information. Under the standard two-valued semantics everything is entailed if knowledge and information is inconsistent. The semant
Externí odkaz:
http://arxiv.org/abs/1404.7719
Autor:
Roos, Nico
The interest in the concept of entropic forces has risen considerably since E. Verlinde proposed to interpret the force in Newton s second law and Gravity as entropic forces [1]. Brownian motion, the motion of a small particle (pollen) driven by rand
Externí odkaz:
http://arxiv.org/abs/1310.4139
Autor:
Roos, Nico
Publikováno v:
The 34th Benelux Conference on Artificial Intelligence and the 31th Belgian Dutch Conference on Machine Learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::38e9dd8f7502229bcd0ea808b2bf21eb
https://cris.maastrichtuniversity.nl/en/publications/f7d8a21c-a3e0-4b28-bd29-3dd4ed0818cc
https://cris.maastrichtuniversity.nl/en/publications/f7d8a21c-a3e0-4b28-bd29-3dd4ed0818cc
Autor:
Roos, Nico
Publikováno v:
In Knowledge-Based Systems 2011 24(4):467-477