In this paper, we study the problem of achieving efficient interaction in a distributed scheduling system whose scheduling agents may borrow resources from one another. Specifical...
Daniel E. Neiman, David W. Hildum, Victor R. Lesse...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
The last decade has witnessed substantial progress in speech recognition technology, with todays state-of-the-art systems being able to transcribe unrestricted broadcast news audi...
Synthesis of behaviour models from software development artifacts such as scenario-based descriptions or requirements specifications not only helps significantly reduce the effort...
Software Fault Tree Analysis (SFTA) provides a structured way to reason about the safety or reliability of a software system. As such, SFTA is widely used in missioncritical appli...