Evolutionary linguistic approach to modeling the change in language associated with the rapid change in environment

2014 Fiscal Year Final Research Report

• Project/Area Number: 23700310
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Cognitive science
• Research Institution: Nagoya University
• Principal Investigator: NAKAMURA Makoto 名古屋大学, 法学(政治学)研究科(研究院), 助教 (50377438)
• Project Period (FY): 2011-04-28 – 2015-03-31
• Keywords: 言語進化 / モデル化 / シミュレーション / エージェント

Outline of Final Research Achievements

We proposed an agent-based model for language contact, where we employed Kirby’s iterated learning model (ILM) and complex networks. Totally, we succeeded to implement a linguistic community with learning agents connected with a social network. The network model makes it possible to observe not only diachronic but also synchronic changes in grammar. We achieved implementation of a large-scale, agent-based model where 100 processes of ILM run in parallel, which contributes to the simulation study on language evolution.

Free Research Field

言語進化