Name
Abstract | ||
|---|---|---|
Automatically diagnosing a complex system containing heterogeneous hard- and software components is a challenging task. To analyse 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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.5220/0006257903180329 | ICAART: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2 |
Keywords | Field | DocType |
Automatic Diagnosis,Diagnostic Engine,Non-monotonic Reasoning,Model-based Diagnosis | Smart environment,Diagnostic system,Computer science,Human–computer interaction,Artificial intelligence,Machine learning | Conference |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eric Heiden | 1 | 7 | 5.63 |
| Sebastian Bader | 2 | 51 | 14.66 |
| Thomas Kirste | 3 | 117 | 25.44 |