Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
Causal independence modelling is a well-known method both for reducing the size of probability tables and for explaining the underlying mechanisms in Bayesian networks. In this pap...
- The Cell Matrix Architecture is a massive array of dynamically self-configurable, uniformly connected, identical computational units. This architecture can enable efficient, prac...
E-business is one important element promoting business competitiveness and is thus closely linked to innovation. However, the potentials of ICT for business processes are not yet ...
To enhance effectiveness in real world applications, autonomous agents have to develop cognitive competencies and anticipatory capabilities. Here we point out their strong liaison...