Abstract
This chapter makes a quick review of how the methods studied in this
work, the Discrete and Continuous-Time Markov Chain Processes, can be applied
to different fields and it explores their use con different approaches. It also examines
how the applicability of these random walks can affect diverse disciplines with
different impacts. The implementation of these methods can even have the option
of self-learning programming.