Abstract
Rule-based modeling (RBM) is a paradigm for describing combinatorially complex stochastic processes with an underlying network structure through a finite set of rewrite rules. In this talk, I will give an overview of RBM -- illustrating how it can been used to model biological process in particular -- and present some recent work on generating rate-equations and ODEs tracking higher order statistics from a large class of rule-based systems.