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Reputation mechanism for e-commerce in virtual reality environments
(Elsevier, 2014)
The interest in 3D technology and virtual reality (VR) is growing both from academia and industry, promoting the quick development of virtual marketplaces (VMs) (i.e. e-commerce systems in VR environments). VMs have inherited ...
Reasoning with uncertain information and trust
(SPIE, 2013)
A limitation of standard Description Logics is its inability to reason with uncertain and vague knowledge. Although probabilistic and fuzzy extensions of DLs exist, which provide an explicit representation of uncertainty, ...
Evidential deep learning to quantify classification uncertainty
(Neural Information Processing Systems Foundation, 2018)
Deterministic neural nets have been shown to learn effective predictors on a wide range of machine learning problems. However, as the standard approach is to train the network to minimize a prediction loss, the resultant ...
Partial observable update for subjective logic and its application for trust estimation
(Elsevier, 2015)
Subjective Logic (SL) is a type of probabilistic logic, which is suitable for reasoning about situations with
uncertainty and incomplete knowledge. In recent years, SL has drawn a significant amount of attention from the ...
Probabilistic logic programming with beta-distributed random variables
(Association for the Advancement of Artificial Intelligence, 2019-07-17)
We enable aProbLog-a probabilistic logical programming approach-to reason in presence of uncertain probabilities represented as Beta-distributed random variables. We achieve the same performance of state-of-the-art algorithms ...
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