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Generative Agent-based Simulation of Mobility Policy Preferences from Surveys
US & West ·
A framework converts real survey respondents into LLM agents for simulation. This approach improves realism of behavioral simulations and can be used for experiments in mobility policy.
Why it matters
Shows potential of LLM agents for modeling socio-economic processes, important for urban planning and policy analysis.
At the 20th anniversary of the Korea-Africa Economic Cooperation (KOAFEC), Korea and Africa charted a new course for cooperation on artificial intelligence and digital infrastructure. Details of agreements were not disclosed.
