Concepts and Algorithms for - and Usage of - Self-Explaining Digitally Controlled Systems (CAUSE)
Fact Sheet
Acronym | CAUSE |
---|---|
Name | Concepts and Algorithms for - and Usage of - Self-Explaining Digitally Controlled Systems (in German: Konzepte und Algorithmen für - und Nutzung von - selbsterklärenden digital kontrollierten Systemen) |
Homepage | rtg-cause.github.io |
Role of TUHH | Applicant |
Start Date | 01/11/2024 |
End Date | 31/10/2029 |
Funds Donor | Deutsche Forschungsgemeinschaft (DFG) |
Summary
Today, almost any technical system is digitally controlled which adds to its smartness. Such digitally controlled systems feature many and functionally diverse interacting subsystems, system levels, and connections to other systems. Many problems arising during their design and operation can be traced back to a lack of understanding and consequential mismatches at their interfaces. Avoiding such fallacies, demands mutual explanations of behaviour comprehensible to other systems, designers, developers, and operators.
The research training group CAUSE addresses these issues by striving to make digitally controlled systems self-explaining to developers, users, and other systems.
Our acronym CAUSE expands to Concepts and Algorithms for - and Usage of - Self-Explaining Digitally Controlled Systems. Researchers from three institutions - the Hamburg University of Technology, the University of Bremen, and the University of Oldenburg - team up to comprehensively cover Cyber-Physical Sytems (CPS) design on all abstraction levels. Four cohorts of eight to ten doctoral researchers plus associated researchers from the participating groups are following a structured graduation programme.