Concept and Realization of a Diagnostic System for Smart Environments


Automatically diagnosing a complex system containing heterogeneous hard- and software components is a challenging task. To analyze the problem, we first describe different scenarios a diagnostic engine might be confronted with. Based on those scenarios, a concept and an implementation of a semi-automatic diagnostic system are presented and some first benchmarks are shown.

International Conference on Agents and Artificial Intelligence (ICAART)