# Microcosmic Language Simulations The 'Language Evolution Simulation' Replicates Linguistic Changes By Joey Haar | Published 2016-07-26 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/language-evolution-simulation References: [boingboing.net](http://boingboing.net/2016/07/26/watch-language-evolve-as-littl.html) & [fatiherikli.github.io](https://fatiherikli.github.io/language-evolution-simulation/) For armchair linguists fascinated by the mutation of languages over time, the 'Language Evolution Simulation' is a neat visualization that uses probability and a computational model called the "agent based model" to demonstrate [linguistic changes](https://www.trendhunter.com/trends/easylang-ai). In the [browser app](https://www.trendhunter.com/trends/websim), "agents" represented by tiny dots live on three islands, each with a unique fictional language consisting of a dictionary of meaningless words. As these dots gradually interact with one another and occasionally travel to the neighboring islands, they pass words to one another. These words have a small percentage chance of being changed by the agent that hears them, and over time each of the three languages adapts and shifts. The Language Evolution Simulation is a simple example of how computers can quickly replicate the immense complexity and era-spanning time frame of something like linguistic modulation. ## Trend Insights (Trend Hunter) - Score: 1.8/10 - Popularity: 19% | Activity: 27% | Freshness: 8% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: North America ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai) ## Key Themes ### What's Driving This Trend - **Language Evolution Simulation:** Opportunities for developing more sophisticated simulations powered by machine learning algorithms that can replicate the complex and nuanced evolution of language. - **Agent-based Modeling:** Potential for exploring other social phenomena, such as the spread of ideas or diseases, using agent-based modeling in combination with machine learning techniques. - **Data Visualization:** Growing demand for data visualization tools that can help people understand and make sense of complex information and data sets in an intuitive and engaging way. ### Who This Affects Most - **Education:** Language Evolution Simulation can be a useful tool in linguistic studies and language learning programs to enhance understanding of how languages evolve over time. - **Computational Linguistics:** Potential to leverage Agent-Based Modeling to develop more accurate models for predicting linguistic changes and studying their effects on human communication. - **Data Science:** The demand for data visualization expertise and tools is driving growth in the data science industry, particularly in areas such as data analytics and business intelligence. ## Related on Trend Hunter - [interactive Language Games](https://www.trendhunter.com/trends/langguesser.md) - [Interactive AI Language Learning](https://www.trendhunter.com/trends/roleplaying-games.md) - [Immersive Language Games](https://www.trendhunter.com/trends/noun-town.md) - [Immersive Language-Learning Apps](https://www.trendhunter.com/trends/lingo-looper.md) - [AI-Assisted Language Tutors](https://www.trendhunter.com/trends/learn-language-on-perplexity.md) - [Interactive Language Tools](https://www.trendhunter.com/trends/ai-dictionary.md) - [Immersive Language-Learning Tools](https://www.trendhunter.com/trends/english-learning.md) - [Language Learning Tools](https://www.trendhunter.com/trends/best-language-learning-system.md) - [AI Language Learning Metaverses](https://www.trendhunter.com/trends/lingocity.md)