?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Is a polarized society inevitable, where people choose to be exposed to only political news and commentary that reinforces their existing viewpoints? We examine the relationship b...
One of the challenging issues in a distributed time sensitive information rich environment is how to assist the decision makers to make decisions quickly and effectively. This pap...
Guruprasad Airy, Po-Chun Chen, Xiaocong Fan, John ...
In this paper, we show how reinforcement learning can be applied to real robots to achieve optimal robot behavior. As example, we enable an autonomous soccer robot to learn interce...
In this paper we demonstrate how a qualitative framework for decision making can be used to model scenarios from experimental economic studies and we show how our approach explains...
Trevor J. M. Bench-Capon, Katie Atkinson, Peter Mc...