  We present a family of one-dimensional cellular automata modeling the
diffusion of an innovation in a population. Starting from simple deterministic
rules, we construct models parameterized by the interaction range and
exhibiting a second-order phase transition. We show that the number of
individuals who eventually keep adopting the innovation strongly depends on
connectivity between individuals.
