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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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Artificial intelligence chatbots mimic human collective behaviour
James K He1, Felix P S Wallis2, Andrés Gvirtz3
1Artificial Societies Ltd., London, UK.
British Journal of Psychology (London, England : 1953)
|December 31, 2024
Summary
Artificial intelligence (AI) chatbots exhibit collective behavior, mimicking human homophily by forming communities based on shared language and content. This suggests AI-powered societies can simulate group dynamics for social science research.
Area of Science:
- Social Sciences
- Computer Science
- Artificial Intelligence
Background:
- Artificial Intelligence (AI) chatbots demonstrate individual human behavior mimicry.
- The potential for AI chatbots to simulate collective human behavior remains largely unexplored.
Purpose of the Study:
- To investigate whether groups of AI chatbots exhibit collective behavior.
- To determine if AI chatbots mimic homophily, the tendency to form communities with similar others.
Main Methods:
- A large-scale simulated online society of AI chatbots (N=33,299) was created using large language models.
- Community formation was analyzed based on language and content similarity among chatbots.
Main Results:
- Communities spontaneously formed around AI chatbots using a common language.
- Among English-dominant chatbots (N=17,746), communities emerged based on similar posted content.
Conclusions:
- AI chatbots demonstrate homophily, a key aspect of human collective behavior.
- AI-powered artificial societies offer a novel tool for simulating nuanced collective behaviors in social science research.
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