Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
We present a new domain for unsupervised learning: automatically customizing the computer to a specific melodic performer by merely listening to them improvise. We also describe B...
This paper describes the architecture for a virtual agent and the implementation of its Affection Module. A novel affective model is proposed based on Probabilistic Fuzzy Cognitive...
Automated negotiation has attracted growing interest within fields such as e-business, multi-agent systems, and web services. Nevertheless, a majority of automated negotiation res...