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Subjective bayesian networks and human-in-the-loop situational understanding
(Springer, 2018-03-21)
In this paper we present a methodology to exploit human-machine coalitions for situational understanding. Situational understanding refers to the ability to relate relevant information and form logical conclusions, as well ...
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. ...
Reinforcement learning to adjust parametrized motor primitives to new situations
(Springer Science+Business Media, 2012-11)
Humans manage to adapt learned movements very quickly to new situations by generalizing learned behaviors from similar situations. In contrast, robots currently often need to re-learn the complete movement. In this paper, ...
E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing
(ACM, 2011-06-12)
Many modern applications, including online financial feeds, tag-based mass transit systems and RFID-based supply chain management systems transmit real-time data streams. There is a need for event stream processing technology ...
Robotic grasping and manipulation through human visuomotor learning
(Elsevier, 2012-03)
A major goal of robotics research is to develop techniques that allow non-experts to teach robots dexterous skills. In this paper, we report our progress on the development of a framework which exploits human sensorimotor ...
Automated extraction of feature models from android based portable devices
(IEEE, 2017)
Domain analysis is an essential activity in software product line engineering to identify common and variable features among the products of a product family. Feature models are commonly used for depicting the identified ...
FORMAT: a tool for adapting test models based on feature models
(IEEE, 2017)
We introduce a tool that facilitates the reuse of test models for a family of systems. Test models are defined as hierarchical Markov chains for specifying possible usage of features for these systems. Variability among ...
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