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Abstract
In this article, we study the emergence of associations between words and concepts using the self-organizing map. In particular, we explore the meaning negotiations among communicating agents. The self-organizing map is used as a model of an agent’s conceptual memory. The concepts are not explicitly given but they are learned by the agent in an unsupervised manner. Concepts are viewed as areas formed in a self-organizing map based on unsupervised learning. The language acquisition process is modeled in a population of simulated agents by using a series of language games, specifically observational games. The results of the simulation experiments verify that the agents learn to communicate successfully and a shared lexicon emerges. This work was supported by the Academy of Finland through Adaptive Informatics Research Centre that is a part of the Finnish Centre of Excellence Programme.BibTex
@inproceedings{lindh06meaningEELC,
author={Tiina Lindh-Knuutila and Timo Honkela and Krista Lagus},
title={Simulating Meaning Negotiation Using Observational Language Games},
year={2006},
pages={168-179},
editor={P. Vogt and et al.},
publisher={Springer},
booktitle={Symbol Grounding and Beyond: Proceedings of the Third International Workshop on the Emergence and Evolution of Linguistic Communication},
doi={10.1007/11880172_13},
url={http://www.isrl.uiuc.edu/~amag/langev/paper/lindh06meaningEELC.html}
}