Social physics in the age of artificial intelligence
Artificial intelligence (AI) systems are rapidly becoming more capable, autonomous, and deeply embedded in social life. As humans increasingly interact, cooperate, and compete with AI, we move from purely human societies to hybrid human-AI societies whose collective dynamics cannot be captured by existing behavioural models alone. Drawing on evolutionary game theory, cultural evolution, and Large Language Models (LLMs) powered simulations, we argue that these developments open a new research agenda for social physics centred on the co-evolution of humans and machines. We outline six key research directions. First, modelling the evolutionary dynamics of social behaviours (e.g. cooperation,...
| Authors | The Anh Han, Joel Z. Leibo, Tom Lenaerts et al. |
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| Primary category | physics.soc-ph |
| Published | 4 March 2026 |
| Last updated at source | 4 March 2026 |
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