Drawing on SFL for Making Intelligent Decisions in RBL

Martin Jochen Zimmermann, Ingo Pill, Franz Wotawa

Publikation: KonferenzbeitragPaperBegutachtung


Even when facing issues, we expect today’s systems to evaluate the situation and make intelligent choices in order to fulfill their tasks. With RBL, we recently proposed a language that we can use for describing and enabling smart system behavior such that a system can autonomously react to issues occurring during operation. The proposed
framework needed a designer to fine-tune internal parameters though and suffered from performance
problems for specific scenarios. We now show how to exploit diagnostic reasoning for enabling a self-configuring plug and play setup of an intelligent system that can make the most promising choices to fulfill its tasks. We also show that this concept significantly improves the performance for previously problematic application scenarios without sacrificing overall performance.
PublikationsstatusVeröffentlicht - Sept. 2020
VeranstaltungThe 31st International Workshop on Principles of Diagnosis: DX-2020 - virtuell, USA / Vereinigte Staaten
Dauer: 26 Sept. 202028 Sept. 2020


KonferenzThe 31st International Workshop on Principles of Diagnosis: DX-2020
KurztitelDX 2020
Land/GebietUSA / Vereinigte Staaten

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