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Modeling the Emergence of a New Language: Naming Game with Hybridization

  • Lorenzo Pucci
  • Pietro Gravino
  • Vito D. P. Servedio
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8221)

Abstract

In recent times, the research field of language dynamics has focused on the investigation of language evolution, dividing the work in three evolutive steps, according to the level of complexity: lexicon, categories and grammar. The Naming Game is a simple model capable of accounting for the emergence of a lexicon, intended as the set of words through which objects are named. We introduce a stochastic modification of the Naming Game model with the aim of characterizing the emergence of a new language as the result of the interaction of agents. We fix the initial phase by splitting the population in two sets speaking either language A or B. Whenever the result of the interaction of two individuals results in an agent able to speak both A and B, we introduce a finite probability that this state turns into a new idiom C, so to mimic a sort of hybridization process. We study the system in the space of parameters defining the interaction, and show that the proposed model displays a rich variety of behaviours, despite the simple mean field topology of interactions.

Keywords

Master Equation Language Evolution Linear Stability Analysis Transition Line Convergence Time 
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

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Lorenzo Pucci
    • 1
  • Pietro Gravino
    • 2
    • 3
  • Vito D. P. Servedio
    • 2
  1. 1.Phys. Dept.Univ. Federico IINapoliItaly
  2. 2.Phys. Dept.Sapienza Univ. of RomeRomaItaly
  3. 3.Phys. Dept.Alma Mater Studiorum, Univ. of BolognaItaly

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