Evolving Learnable Languages

Recent theories suggest that language acquisition is assisted by the evolution of languages towards forms that are easily learnable. In this paper, we evolve combinatorial languages which can be learned by a recurrent neural network quickly and from relatively few examples. Additionally,we evolve languages for generalization in different "worlds", and for generalization from specific examples.