 Axelrod notes a number of intriguing results from the model, many of which have been further explored in later work. Results are very sensitive to the number of features F and traits q used as parameters, for example. Changing numbers of features and traits changes the final number of stable regions in opposite directions: the number of stable regions correlates negatively with the number of features F but positively with the number of traits q (Klemm et al. 2003). In Axelrod’s base case with \(F = 5\) and \(q = 10\) on a \(10 \times 10\) lattice, the result is a median of three stable regions. When q is increased from 10 to 15, the number of final regions increases from three to 20; increasing the number of traits increases the number of stable groups dramatically. If the number of features F is increased to 15, in contrast, the average number of stable regions drops to only 1.2 (Axelrod 1997). Further explorations of parameters of population size, configuration, and dynamics, with measures of relative size of resultant groups, appear in Klemm et al. (2003a, b, c, 2005) and in Centola et al. (2007).