NeurIPS 2019poster126 citations
Ease-of-Teaching and Language Structure from Emergent Communication
Abstract
Artificial agents have been shown to learn to communicate when needed to complete a cooperative task. Some level of language structure (e.g., compositionality) has been found in the learned communication protocols. This observed structure is often the result of specific environmental pressures during training. By introducing new agents periodically to replace old ones, sequentially and within a population, we explore such a new pressure — ease of teaching — and show its impact on the structure of the resulting language.
BibTeX
@inproceedings{NEURIPS2019_b0cf188d,
author = {Li, Fushan and Bowling, Michael},
booktitle = {Advances in Neural Information Processing Systems},
editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
pages = {},
publisher = {Curran Associates, Inc.},
title = {Ease-of-Teaching and Language Structure from Emergent Communication},
url = {https://proceedings.neurips.cc/paper_files/paper/2019/file/b0cf188d74589db9b23d5d277238a929-Paper.pdf},
volume = {32},
year = {2019}
}