activity
20182025
most citedContrastive Explanations for Reinforcement Learning in terms of Expected Consequences

65 citations · 98 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2025

Designing AI-Enabled Countermeasures to Cognitive Warfare

Jurriaan van Diggelen, Eugene Aidman, Jazz Rowa +1

Foreign information operations on social media platforms pose significant risks to democratic societies. With the rise of Artificial Intelligence (AI), this threat is likely to int…

cs.HC2023★ 6 cited

Designing for Meaningful Human Control in Military Human-Machine Teams

Jurriaan van Diggelen, Karel van den Bosch, Mark Neerincx +1

We propose methods for analysis, design, and evaluation of Meaningful Human Control (MHC) for defense technologies from the perspective of military human-machine teaming (HMT). Our…

cs.HC2021

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…

cs.AI2019★ 7 cited

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…

cs.LG2018★ 65 cited

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…

stat.ML2018★ 20 cited

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…