Results 21 to 30 of about 2,142,393 (151)
Acta Scientiarum Polonorum. Administratio LocorumMotivation: Real estate markets, particularly in emerging economies such as Nigeria, are subject to significant uncertainties. These can be broadly categorized into aleatoric uncertainties, which arise from inherent market variability, and epistemic ...
Nonso Izuchukwu Ewurum +4 more
doaj +1 more source
Learning Credal Sum-Product Networks
, 2019 Accepted to AKBC ...
Amélie Levray, Vaishak Belle
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Structural Causal Models Are (Solvable by) Credal Networks
CoRR, 2020 A structural causal model is made of endogenous (manifest) and exogenous (latent) variables. We show that endogenous observations induce linear constraints on the probabilities of the exogenous variables. This allows to exactly map a causal model into a credal network.
Marco Zaffalon +2 more
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Valuation Network for Ongoing Assessment of Threat to an Underwater Vehicle
IEEE AccessThe paper develops a valuation based system for reasoning under uncertainty in the context of threat assessment onboard an underwater vehicle. The focus is on threat posed by the nearby contacts, while the vessel is navigating busy waters with warships ...
Branko Ristic +2 more
doaj +1 more source
CoRRUncertainty quantification is essential for deploying reliable Graph Neural Networks (GNNs), where existing approaches primarily rely on Bayesian inference or ensembles. In this paper, we introduce the first credal graph neural networks (CGNNs), which extend credal learning to the graph domain by training GNNs to output set-valued predictions in the ...
Matteo Tolloso, Davide Bacciu
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Modeling Unreliable Observations in Bayesian Networks by Credal Networks [PDF]
, 2009 Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs about a variable of interest in the network after the observation of some other variables. This is usually achieved under the assumption that the observations could reveal the
Alessandro Antonucci 0001 +1 more
openaire +2 more sources
MathematicsAs the penetration rate of distributed power sources increases and distribution network structures grow increasingly complex, the uncertainty in switch action control during load transfer has become a critical issue affecting grid safety and reliability.
Hua Zhang +4 more
doaj +1 more source
MathematicsProbabilistic risk assessment of complex offshore oil and gas systems is often challenged by scarce statistical data and multiple uncertainties. Traditional point-value probability and standard Bayesian networks cannot fully represent and propagate these
Shibo Wu +3 more
doaj +1 more source
Journal of Organizational Behavior, EarlyView.ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley +1 more source
An Interdisciplinary Review of the Gaslighting Literature and Future Research Agenda
Journal of Organizational Behavior, EarlyView.ABSTRACT Gaslighting is increasingly discussed in organizational contexts, yet its meaning, boundaries, and process remain unclear within management and organizational scholarship. Although research on gaslighting has expanded across multiple disciplines, existing work is conceptually fragmented and difficult to integrate, limiting cumulative theory ...
Paula A. Kincaid, Samantha C. O. Stalion
wiley +1 more source