Language Evolution

Language evolution research investigates how languages change over time, aiming to understand the underlying mechanisms driving these changes and the factors influencing their structure and complexity. Current research employs computational models, including agent-based simulations, large language models (LLMs), and evolutionary algorithms like grammatical evolution, to simulate language emergence and track changes in vocabulary, grammar, and sound systems across different time periods and social contexts. These studies provide insights into the interplay between cognitive constraints, social pressures, and environmental factors in shaping language, with implications for fields such as linguistics, cognitive science, and even the design of more robust and adaptable AI systems.