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.
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Lindh-Knuutila, T., Honkela, T., Lagus, K. (2006). Simulating Meaning Negotiation Using Observational Language Games. In: Vogt, P., Sugita, Y., Tuci, E., Nehaniv, C. (eds) Symbol Grounding and Beyond. EELC 2006. Lecture Notes in Computer Science(), vol 4211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11880172_13
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DOI: https://doi.org/10.1007/11880172_13
Publisher Name: Springer, Berlin, Heidelberg
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