JUCS - Journal of Universal Computer Science 24(10): 1345-1377, doi: 10.3217/jucs-024-10-1345
Computational Models of Language Evolution: Challenges and Future Perspectives
Fernando Ferri‡, Arianna D’Ulizia, Patrizia Grifoni‡ Consiglio Nazionale delle Ricerche, Rome, Italy
Corresponding author: Fernando Ferri ( fernando.ferri@irpps.cnr.i ) © Fernando Ferri, Arianna D’Ulizia, Patrizia Grifoni. This article is freely available under the J.UCS Open Content License. Citation:
Ferri F, D’Ulizia A, Grifoni P (2018) Computational Models of Language Evolution: Challenges and Future Perspectives. JUCS - Journal of Universal Computer Science 24(10): 1345-1377. https://doi.org/10.3217/jucs-024-10-1345 |  |
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
language evolution, grammatical evolution, evolutionary computation, agent-based models, game theoretic models