Combining Self-Organizing and Bayesian Models of Concept Formation

In this article, we consider contemporary theories of concepts, and Bayesian and self-organizing models of concept formation. After introducing the different models, we present our own experiment. It utilizes a multi-agent simulation framework, in which the emergence of a common vocabulary can be studied. In the experiment, we use jointly the self-organizing maps and probabilistic modeling of concept naming. The results of the experiments show that a common vocabulary to denote prototypical colors emerges in the agent population.