Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
The inherent difficulty in supporting human usability in large control systems--such as building environmental and security systems--derives from the large diversity of components...
Robin R. Penner, Erik S. Steinmetz, Christopher L....
The trends and recent changes in logistics lead to complex and partially conflicting requirements on logistic planning and control systems. Due to the lack of efficiency of curren...
Hagen Langer, Jan D. Gehrke, Joachim Hammer, Marti...
Management of large-scale parallel and distributed applications is an extremely complex task due to factors such as centralized management architectures, lack of coordination and ...
Workflow management systems guide and monitor tasks performed by humans and computers. The workflow specifications are usually expressed in special purpose (graphical) formalisms....
Jan Martin Jansen, Rinus Plasmeijer, Pieter W. M. ...