There has been a significant amount of research on computational
modeling of language evolution to understand the origins and evolution of communication. However, there has relatively been
relatively little computational modeling of environmental factors
that enable the evolution of creole languages, specifically,
modeling lexical term transmission between intersecting language
groups, within the context of artificial creole language evolution. This study used an iterative agent-based naming game simulation to investigate the impact of population size and lexical
similarity of interacting language groups on the evolution of
an artificial creole lexicon. We applied the synthetic methodology, using agent-based artificial language evolution as an experimental platform to investigate two objectives. First, to investigate
the impact of population size of interacting groups (with differing
lexicons) on the evolution of a common (creole) lexicon. Second,
to evaluate the concurrent impact of lexical similarity between
interacting agent groups on the evolution of a creole lexicon
