Language Learning in Multi-Agent Systems
Martin Allen, Claudia V. Goldman, and Shlomo Zilberstein. Language Learning in Multi-Agent Systems. Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI), 1649-1650, Edinburgh, Scotland, 2005.
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.
Bibtex entry:
@inproceedings{AGZijcai05, author = {Martin Allen and Claudia V. Goldman and Shlomo Zilberstein}, title = {Language Learning in Multi-Agent Systems}, booktitle = {Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence}, year = {2005}, pages = {1649-1650}, address = {Edinburgh, Scotland}, url = {http://rbr.cs.umass.edu/shlomo/papers/AGZijcai05.html} }shlomo@cs.umass.edu