Emergent Communication for Understanding Human Language Evolution: What's Missing?. (arXiv:2204.10590v1 [cs.CL])

Emergent communication protocols among humans and artificial neural network
agents do not yet share the same properties and show some critical mismatches
in results. We describe three important phenomena with respect to the emergence
and benefits of compositionality: ease-of-learning, generalization, and group
size effects (i.e., larger groups create more systematic languages). The latter
two are not fully replicated with neural agents, which hinders the use of
neural emergent communication for language evolution research. We argue that
one possible reason for …

arxiv communication evolution human language understanding