Language Learning in Multi-Agent Systems
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1649-1649.
Abstract
We present the problem of learning to communicate in decentralized and stochastic environments, analyzing it formally in a decision-theoretic context and illustrating the concept experimentally. Our approach allows agents to converge upon coordinated communication and action over time.
Martin Allen, Claudia V. Goldman, and Shlomo Zilberstein. 2005. Language Learning in Multi-Agent Systems. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1649–1649. https://ijcai.org/proceedings/2005/333
Allen, M., Goldman, C. V., & Zilberstein, S. (2005). Language Learning in Multi-Agent Systems. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 (pp. 1649–1649). IJCAI. https://ijcai.org/proceedings/2005/333
@inproceedings{ijcai2005p333,
title = {Language Learning in Multi-Agent Systems},
author = {Allen, Martin and Goldman, Claudia V. and Zilberstein, Shlomo},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1649--1649},
year = {2005},
url = {https://ijcai.org/proceedings/2005/333},
}
TY - CPAPER TI - Language Learning in Multi-Agent Systems AU - Allen, Martin AU - Goldman, Claudia V. AU - Zilberstein, Shlomo T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1649 EP - 1649 UR - https://ijcai.org/proceedings/2005/333 ER -Copied
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