Home // International Journal On Advances in Intelligent Systems, volume 8, numbers 3 and 4, 2015 // View article

Simulation of Emergence of Local Common Languages Using Iterated Learning Model on Social Networks

Authors:
Makoto Nakamura
Ryuchi Matoba
Satoshi Tojo

Keywords: Language Evolution; Language Acquisition; Iterated Learning Model; Social Network

Abstract:
Thus far, there have been a variety of methodologies proposed on simulating the evolution of languages, each of which belongs to a different level of abstraction. Our goal is to provide a framework that represents the diachronic change in language by the contact among language communities. We propose an agent-based model with Kirby's iterated learning model and complex networks, putting learning agents on each node in the social network. Our proposed model is examined in three aspects: (i) the effectiveness of string-clipping, (ii) the relation between generations for learning and the number of local common languages, and (iii) the relation between network types and local common languages. A series of experiments shows that we have succeeded in modeling the actual situation of language change.

Pages: 374 to 384

Copyright: Copyright (c) to authors, 2015. Used with permission.

Publication date: December 30, 2015

Published in: journal

ISSN: 1942-2679