We present an Information Customization framework, which offers a unique hybrid of Adaptive Hypermedia and Constraint Satisfaction methods. IC is being modelled as a constraint sa...
We propose a method for sequential Bayesian kernel regression. As is the case for the popular Relevance Vector Machine (RVM) [10, 11], the method automatically identifies the num...
The idea of Learning Objects – “any digital resource that can be reused to support learning” – is emerging as a way to reuse learning materials in different settings and c...
We describe a framework that can be used to model and predict the behavior of MASs with learning agents. It uses a difference equation for calculating the progression of an agent&...
Software evolution and reuse is more likely to receive higher payoff if high-level artifacts—such as architectures and designs—can be reused and can guide low-level component ...