Artificial Language - Motivation

Motivation

The lack of empirical evidence in the field of evolutionary linguistics has led many researchers to adopt computer simulations as a means to investigate the ways in which artificial agents can self-organize languages with natural-like properties. This research is based on the hypothesis that natural language is a complex adaptive system that emerges through interactions between individuals and continues to evolve in order to remain adapted to the needs and capabilities of its users. By explicitly building all assumptions into computer simulations, this strand of research strives to experimentally investigate the dynamics underlying language change as well as questions regarding the origin of language under controlled conditions.

Due to its success the paradigm has also been extended to investigate the emergence of new languages in psychological experiments with humans, leading up to the new paradigm of experimental semiotics.

Because the focus of the investigations lies on the conventionalisation dynamics and higher-level properties of the resulting languages rather than specific details of the conventions, artificially evolved languages are typically not documented or re-used outside the single experiment trial or simulation run in which they emerge. In fact, the limited size and short-lived nature of artificial languages are probably the only things that sets them apart from natural languages, since all languages are artificial insofar as they are conventional (see also Constructed language#Planned, constructed, artificial).