Our goal is to construct a model for genetic regulatory networks such that the model class: (i) incorporates rule-based dependencies between genes, (ii) allows the systematic study of global network dynamics, (iii) is able to cope with uncertainty, both in the data and the model selection, and (iv) permits the quantification of the relative influence and sensitivity of genes in their interactions with other genes.