Ease-of-Teaching and Language Structure from Emergent Communication
- Fushan Li
- Michael Bowling, University of Alberta
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.
Citation
F. Li, M. Bowling. "Ease-of-Teaching and Language Structure from Emergent Communication". Neural Information Processing Systems, pp 15825-15835, December 2019.Keywords: | |
Category: | In Conference |
Web Links: | NeurIPS |
BibTeX
@incollection{Li+Bowling:NeurIPS19, author = {Fushan Li and Michael Bowling}, title = {Ease-of-Teaching and Language Structure from Emergent Communication}, Pages = {15825-15835}, booktitle = {Neural Information Processing Systems}, year = 2019, }Last Updated: October 28, 2020
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