Many physical and artificial phenomena can be described by time series. The prediction of such phenomenon could be as complex as interesting. There are many time series forecasti...
In this paper, we address the problem of building a system of autonomous agents for a complex environment, in our case, a museum with many visitors. Visitors may have varying pref...
Andrew S. Cantino, David L. Roberts, Charles L. Is...
We use 63 features extracted from sources such as versioning and issue tracking systems to predict defects in short time frames of two months. Our multivariate approach covers aspe...
Developing agent applications is a complex and difficult task due to a variety of reasons. One key aspect making multi-agent systems more complicated than traditional applications ...
In this paper we take a view from the bottom to RDF(S) reasoning. We discuss some issues and requirements on reasoning towards effectively building Semantic Web Pipes, aggregating...
Christian Morbidoni, Axel Polleres, Giovanni Tumma...