(Named after Andrei Markov) A model of sequences of events where the probability of an event occurring depends upon the fact that a preceding event occurred. A Markov process is governed by a Markov chain. In SImulation, the principle of the Markov chain is applied to the selection of samples from a probability denSIty function to be applied to the model. SImscript II.5 uses this approach for some modelling functions. [Better explanation?] (1995-02-23)