Structural AI for Macroeconomic Intelligence
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Updated
Aug 10, 2026 - Python
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ai-economist
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Build and solve economic worlds where agents, markets, data, and learned models co-evolve. Based on Cong’s “Economic World Models and Data-Driven Generative Equilibria” and Han et al.’s “From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models”: https://arxiv.org/abs/2608.06020v1
python simulation reproducible-research economics agent-based-modeling multi-agent-systems computational-economics equilibrium world-models ewm ai-economist economic-ai economic-world-model data-driven-generative-equilibrium generative-equilibrium
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Aug 29, 2026 - Python
What does 'The AI Economist' 16%-better-than-Saez actually depend on? Five experiments built from the authors' own code.
reinforcement-learning economics reproducibility multi-agent-rl public-economics ai-economist optimal-taxation
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Updated
Aug 17, 2026 - HTML
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