The role of coordination in regularization

Computational models allow us to observe the dynamics of simulated interacting populations in short periods of time. In addition, the study of language regularization can shed light on the evolutionary dynamics of language, illuminating how language systems become rule-governed, and why they sustain exceptions to rules. Verb regularity has been extensively studied from an individual perspective. Experimental approaches show that novel non-verbs are regularized at high rates (e.g., Albright & Hayes, 2003). Computational approaches have examined different neural network strategies for accurately learning the patterns of verb regularity in natural language (e.g., Rumelhart & McClelland, 1986), and the effect of transmission on patterns of regularization (Reali & Griffiths, 2010). However, few approaches have considered how coordination in a population of interacting speakers may contribute to regularization...