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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/14225

Title: Simulation of the Emergence of Language Groups Using the Iterated Learning Model on Social Networks
Authors: Nakamura, Makoto
Matoba, Ryuichi
Tojo, Satoshi
Keywords: Language Acquisition
Iterated Learning Model
Social Network
Issue Date: 2015
Publisher: IARIA
Magazine name: COGNITIVE 2015 : The Seventh International Conference on Advanced Cognitive Technologies and Applications
Start page: 175
End page: 180
Abstract: In evolutionary linguistics, the Iterated Learning Model (ILM) is often used for simulating the first language acquisition. Our purpose in this paper is to develop an agent-based model for language contact based on ILM. We put a learning agent on each node in the social network. Our experimental result showed that the language exposure rather deteriorates the emergence of local common languages, and grammars become non-compositional, which is different from our expectation. However, we have shown that an excessive string-clipping as well as a language exposure may constrain the appearance of local language community, independent of the shape of networks.
Rights: Copyright (C) 2015 IARIA. Makoto Nakamura, Ryuichi Matoba, Satoshi Tojo, COGNITIVE 2015 : The Seventh International Conference on Advanced Cognitive Technologies and Applications, 2015, 175-180.
URI: http://hdl.handle.net/10119/14225
Material Type: publisher
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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