  Many open problems in biology, as in the physical sciences, display nonlinear
and 'chaotic' dynamics, which, to the extent possible, cannot be reasonably
understood. Moreover, mathematical models which aim to predict/estimate unknown
aspects of a biological system cannot provide more information about the set of
biologically meaningful (e.g., 'hidden') states of the system than could be
understood by the designer of the model ab initio. Here, the case is made for
the utilization of such models to shift from a 'predictive' to a 'questioning'
nature, and a simple natural-logarithm variation of the logistic polynomial map
is presented that can invoke questions about protein trafficking in eukaryotic
cells.
