Home // COGNITIVE 2015, The Seventh International Conference on Advanced Cognitive Technologies and Applications // View article

Simulation of the Emergence of Language Groups Using the Iterated Learning Model on Social Networks

Authors:
Makoto Nakamura
Ryuichi Matoba
Satoshi Tojo

Keywords: Simulation, Iterated learning model, Social networks, Language change

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.

Pages: 175 to 180

Copyright: Copyright (c) IARIA, 2015

Publication date: March 22, 2015

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-390-2

Location: Nice, France

Dates: from March 22, 2015 to March 27, 2015