MRFs are a branch of probability theory with important theoretical properties and practical applications. Most prominent applications of MRFs lie in the areas of statistical physics 
, image processing [83
, and coordination of autonomous robots 
until now. A MRF is a stochastic process that generalizes the Markov process in the sense that the time index of the original Markov process (characterized by the memoryless property) is substituted ...