Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
This paper deals with the exploration of biomedical multivariate time series to construct typical parameter evolution or scenarios. This task is known to be difficult: the tempora...
In this paper we propose an ontology matching paradigm based on the idea of harvesting the Semantic Web, i.e., automatically finding and exploring multiple and heterogeneous online...
The motivation of this paper is to research the individual and the team levels of knowledge management, in order to unveil prominent knowledge needs, interactions and processes, an...
— The advent of ubiquitous computing has revolutionized distributed Multi-agent systems (MAS). Consequently, there are many software projects focusing on MASs. However, its succe...