  Mathematical models of population extinction have a variety of applications
in such areas as ecology, paleontology and conservation biology. Here we
propose and investigate two types of sub-exponential models of population
extinction.The results of performed analysis show that the principle of minimum
of information loss is the underlying law for the evolution of a broad class of
models of population extinction. Finally, we propose a possible application of
this modeling framework to mechanisms underlying time perception.
