A Grammar-Based Multi-Agent System for Language Evolution

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 156)

Abstract

Considering the adequacy of agent systems for the simulation of language evolution, we introduce a formal-language-theoretic multi-agentmodel based on grammar systems that may account for language change: cultural grammar systems. The framework we propose is a variant of the so-called eco-grammar systems. We modify this formal model, by adding new elements and relationships, in order to obtain a new machinery to describe the dynamics of the evolution of language.

Keywords

Biological Evolution Language Evolution Formal Language Cultural Evolution Individual Learning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Research Group on Mathematical LinguisticsUniversitat Rovira i VirgiliTarragonaSpain

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