Paper: Agent-based modeling of language evolution

ACL ID W14-0510
Title Agent-based modeling of language evolution
Venue Cognitive Aspects of Computational Language Learning
Session
Year 2014
Authors

Agent-based models of language evolution have received a lot of attention in the last two decades. Researchers wish to under- stand the origin of language, and aim to compensate for the lacking empirical evi- dence by utilizing methods from computer science and artificial life. The paper looks at the main theories of language evolution: biological evolution, learning, and cultural evolution. In particular, the Baldwin effect in a naming game model is elaborated on by describing a set of experimental simu- lations. This is on-going work and ideas for further investigating the social aspects of language evolution are also discussed.