@InProceedings{cornudella-poibeau-vantrijp:2016:COLING,
  author    = {Cornudella, Miquel  and  Poibeau, Thierry  and  van Trijp, Remi},
  title     = {The Role of Intrinsic Motivation in Artificial Language Emergence: a Case Study on Colour},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {1646--1656},
  abstract  = {Human languages have multiple strategies that allow us to discriminate objects
	in a vast variety of contexts. Colours have been extensively studied from this
	point of view. In particular, previous research in artificial language
	evolution has shown how artificial languages may emerge based on specific
	strategies to distinguish colours. Still, it has not been shown how several
	strategies of diverse complexity can be autonomously managed by artificial
	agents . We propose an intrinsic motivation system that allows agents in a
	population to create a shared artificial language and progressively increase
	its expressive power. Our results show that with such a system agents
	successfully regulate their language development, which indicates a relation
	between population size and consistency in the emergent communicative systems.},
  url       = {http://aclweb.org/anthology/C16-1155}
}