The aim of social robotics is to make robots that are integrated in our daily life and cooperate with humans. For efficient cooperation, the understanding of actions of other agents is important. In Artificial Intelligence ...

Co-training is a classification scheme needing only a small set of training instances for correct classification. The main question assessed in this thesis was how co-training performance varies with varying representat ...

In an effort to test mental rehearsal as an energy efficient way to learn spatial navigation tasks, a maze navigation simulation was constructed. A robot driven by a single layer feed forward neural network had to find ...

In many situations, humans are able to predict other agents’ behavior. It would be useful if a robot would also be able to do this. Cognitive models can be implemented in a robot. For robots and cognitive models, humans ...

This study presents methods, results and conclusions used and drawn from an attempt to cluster fMRI brain activation patterns in an unsupervised manner in order to retrieve a categorization in a set of nouns denoting ...