ABSTRACT
From the point of view of mathematical modelling and computational systems biology, we could postulate the necessity of the robustness property and make it a design principle in mathematical modelling (for example, see Alon, 2007a). This would allow us to distinguish mathematical models possessing such a property and to claim that, among equally good models, a model characterised by robust properties is more likely to better correspond to the biological reality. To achieve this, one needs to introduce a definition of a biological robustness in mathematical terms and to provide tools to measure it. This nontrivial problem attracted a lot of attention during recent years and many attempts to define and classify various types of robustness were made.
