One of the factors hindering the wide-spread application of qualitative simulation techniques is the difficulty encountered when developing a qualitative model . Analyzing the resulting behavioral description and revising the model in response to this analysis requires a significant amount of expertise and is often left up to the modeler. As a result, developing a qualitative model is difficult...

This paper explores how the dynamics of complex biological processes can be modeled as an organisation of multiple agents. This modelling perspective identifies organisational structure occurring in complex decentralised processes and handles complexity of the analysis of the dynamics by structuring these dynamics according to an organisational structure. More specifically, dynamic properties a...

A common task in business process modelling is the verification of process models regarding syntactical and structural errors. While the former might be checked with low efforts, the latter usually requires a complex state-space analysis to prove properties like deadlock-freedom of the models. In this paper, we address the issue of deadlock detection with a novel approach based on business proc...

Learning objects along with their sequencing are being studied to support efficient e-learning systems. They could solve the problem of costly reproduction of learning materials for e-learning systems. The problem arising here is related to the size and complexity of methods used to achieve the appropriate composition of learning objects in order to generate courses with pedagogic efficiency an...

In sensor data management, it is often useful to collect statistics about state changes of an observed phenomenon. The most basic case is to keep track of how often certain transitions, e.g. from state c to d, have occurred. In our research, we consider a discrete state space and timeline. For example, in the above figure, the state space corresponds to actual two-dimensional space and is divid...

In the paper at hand a model based approach for managing the knowledge based innovation aspects of an enterprise is presented. Meta modelling techniques are applied to design the organizational Knowledge Space and then the Knowledge Maturing Scorecards approach is applied to define, manage and visualize indicators concerned with innovation potential of established enterprise goals. Paper provid...