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Reasoning under uncertainty: variations of subjective logic deduction
(IEEE, 2013)
This work develops alternatives to the classical subjective logic deduction operator. Given antecedent and consequent propositions, the new operators form opinions of the consequent that match the variance of the consequent ...
Goal directed policy conflict detection and prioritisation: an empirical evaluation
(Springer Science+Business Media, 2014)
We address the problem of developing effective automated reasoning support for the detection and resolution of conflicts between plans and policies (or norms). How automated reasoning mechanisms can effectively support ...
Strategies for truth discovery under resource constraints
(ACM, 2015)
We present a decision-theoretic approach for sampling information sources in resource-constrained environments, where there is uncertainty regarding source trustworthiness. We exploit diversity among sources to stratify ...
Cooperation and trust in the presence of bias
(2014)
Stereotypes may influence the attitudes that individuals have towards others. Stereotypes, therefore, represent biases toward and against others. In this paper, we formalise stereotypical bias within trust evaluations. ...
TRIBE: Trust revision for information based on evidence
(IEEE, 2013)
In recent years, the number of information sources available to support decision-making has increased dramatically. However, more information sources do not always mean higher precision in the fused information. This is ...
Trust estimation and fusion of uncertain information by exploiting consistency
(IEEE, 2014)
Agents may cooperate by communicating their opinions about various phenomena. These opinions are then fused by agents and used for informed decision-making. However, fusing opinions from diverse sources is not trivial - ...
Interpretability of deep learning models: a survey of results
(IEEE, 2018-06-26)
Deep neural networks have achieved near-human accuracy levels in various types of classification and prediction tasks including images, text, speech, and video data. However, the networks continue to be treated mostly as ...
TIDY: A trust-based approach to information fusion through diversity
(IEEE, 2013)
Trust and reputation are significant components in open dynamic systems for making informed and reliable decisions. State-of-the-art information fusion models that exploit these mechanisms generally rely on reports from ...
A generalized stereotype learning approach and its instantiation in trust modeling
(Elsevier, 2018-08)
Owing to the lack of historical data regarding an entity in online communities, a user may rely on stereotyping to estimate its behavior based on historical data about others. However, these stereotypes cannot accurately ...
A 2020 perspective on “A generalized stereotype learning approach and its instantiation in trust modeling”
(Elsevier, 2020-03)
Owing to the rapid increase of user data and development of machine learning techniques, user modeling has been explored in depth and exploited by both academia and industry. It has prominent impacts in e-commercerelated ...
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