4 papers
Teaming up with information agents
Jurriaan van Diggelen, Wiard Jorritsma, Bob van der Vecht
Despite the intricacies involved in designing a computer as a teampartner, we can observe patterns in team behavior which allow us to describe at a general level how AI systems are…
Pluggable Social Artificial Intelligence for Enabling Human-Agent Teaming
J. van Diggelen, J. S. Barnhoorn, M. M. M. Peeters +5
As intelligent systems are increasingly capable of performing their tasks without the need for continuous human input, direction, or supervision, new human-machine interaction conc…
Contrastive Explanations for Reinforcement Learning in terms of Expected Consequences
Jasper van der Waa, Jurriaan van Diggelen, Karel van den Bosch +1
Machine Learning models become increasingly proficient in complex tasks. However, even for experts in the field, it can be difficult to understand what the model learned. This hamp…
Contrastive Explanations with Local Foil Trees
Jasper van der Waa, Marcel Robeer, Jurriaan van Diggelen +2
Recent advances in interpretable Machine Learning (iML) and eXplainable AI (XAI) construct explanations based on the importance of features in classification tasks. However, in a h…