  We present a computational model to reconstruct trees of ancestors for
animals with sexual reproduction. Through a recursive algorithm combined with a
random number generator, it is possible to reproduce the number of ancestors
for each generation and use it to constraint the maximum number of the
following generation. This new model allows to consider the reproductive
preferences of particular species and combine several trees to simulate the
behavior of a population. It is also possible to obtain a description
analytically, considering the simulation as a theoretical stochastic process.
Such process can be generalized in order to use an algorithm associated with it
to simulate other similar processes of stochastic nature. The simulation is
based in the theoretical model previously presented before.
