The deployment of multi-agent systems demands for justified confidence into their behaviour, both with respect to correct results of computations and with respect to timeliness t...
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Abstract. Developing service-based interactive applications is time consuming and nontrivial. Annotating web services with additional information about the user interface and behav...
Lars Dannecker, Marius Feldmann, Tobias Nestler, G...
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Industrial processes can be often modelled using Petri nets. If all the process variables (or events) are assumed to be twovalued signals, then it is possible to obtain a hardware...