Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
In this paper we are trying to clarify, with the aid of some semiotic notions, the confusions that lie around the widely used terms “analysis model” and “design model” in s...
Model transformations are frequently applied in business process modeling to bridge between languages on a different abstraction and formality. In this paper, we define a transfor...
Boolean modeling frameworks have long since proved their worth for capturing and analyzing essential characteristics of complex systems. Hybrid approaches aim at exploiting the ad...
We describe a simple scheme for mapping synchronous language models, in the form of Boolean Mealy Machines, into timed automata. The mapping captures certain idealized implementat...