Approximations for Stochastic Graph Rewriting
Danos
Vincent
Heindel
Tobias
Honorato-Zimmer
Ricardo
Stucki
Sandro
2014
In this note we present a method to compute approximate descriptions of a class of stochastic systems. For the method to apply, the system must be presented as a Markov chain on a state space consisting in graphs or graph-like objects, and jumps must be described by transformations which follow a finite set of local rules.
CONF