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2014 Fiscal Year Final Research Report

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

Research Project

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Project/Area Number 23700310
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Cognitive science
Research InstitutionNagoya 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

URL: 

Published: 2016-06-03  

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