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.

Computational Models of Language Evolution: Challenges and Future Perspectives

Ferri Fernando;D'Ulizia Arianna;Grifoni Patrizia
2018

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.
2018
Istituto di Ricerche sulla Popolazione e le Politiche Sociali - IRPPS
Language evolution
Grammatical evolution
Evolutionary computation
Agent-based models
Game theoretic models
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/351835
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