Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
For a multiagent system (MAS), coordination is the assumption that agents are able to adapt their behavior according to those of the other agents. The principle of Property Based C...
The design of complex systems is largely ruled by the time needed for verification. Even though formal methods can provide higher reliability, in practice often simulation based ve...
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
Martin Antenreiter, Christian Savu-Krohn, Peter Au...
Abstract. Adaptive process management systems must be able to support changes of single process instances as well as modifications at the process type level and their propagation t...