Procedural knowledge describes how to accomplish tasks and mitigate prob...
Achieving at least some level of explainability requires complex analyse...
In socio-technical settings, operators are increasingly assisted by deci...
The utilization of digital agents to support crucial decision making is
...
This paper proposes AFMT, a packet scheduling algorithm to achieve adapt...
Several use cases from the areas of manufacturing and process industry,
...
We propose the SupRB learning system, a new Pittsburgh-style learning
cl...
XCS constitutes the most deeply investigated classifier system today. It...
An important component of many Deep Reinforcement Learning algorithms is...
Self-adaptation has been proposed as a mechanism to counter complexity i...