Computational Models of Language Evolution: Challenges and Future Perspectives
Fernando Ferri (Consiglio Nazionale delle Ricerche, Italy)
Arianna D'Ulizia (Consiglio Nazionale delle Ricerche, Italy)
Patrizia Grifoni (Consiglio Nazionale delle Ricerche, Italy)
Abstract: This paper provides an analysis of the trends of the scientific production of language evolution models discussing the current developments and outlines the most promising future perspectives of this research field. A hybrid evaluation methodology has been applied in this study that integrates bibliometric and social research techniques to gain both quantitative and qualitative evidence of the research impact of language evolution models. Due to the ongoing interest in this research topic, the results of the analysis are valuable to many researchers to reveal the developments in the field and to plan future research directions.
Keywords: agent-based models, evolutionary computation, game theoretic models, grammatical evolution, language evolution
Categories: F.4, F.4.2, I.6