1. A method for modeling living biological systems, comprising: determining a plurality of state variables y that indicate relevant properties of a living biological system; determining a plurality of perturbation variables u that indicate factors that might affect one or more of the relevant properties of the biological system; determining a measurable subset Ω of the plurality of state variables y, wherein a measureable variable of Ω is a state variable for which a value can be derived based on a measurement; receiving measurement-based values Y for the measurable variables in Ω; determining model constants based on the measured values Y, including determining a value for a constant interaction factor w ij between a first state variable y i and a second state variable y j such that a change in a value of y i over time depends, at least in part, on a non-linear transformation of a sum of a value of a perturbation variable u i that affects y i added to a sum of all non-zero values for a product of w ij and y i for all state variables in the plurality of state variables; and determining model data that indicates the model constants, the plurality of state variables y and the plurality of perturbation variables u for a model that predicts a temporal change in y i based on values for the plurality of state variables y and for a perturbation variable u i .