yachty66/EconomicAgents

Implementation of the paper "Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?"

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Experimental

This tool helps researchers and academics in economics and social sciences simulate classic behavioral economics experiments. You provide a large language model (LLM) and define 'personalities' for the simulated agents. The tool then runs the experiment, producing data and plots showing how these agents behave in various economic scenarios. This is ideal for behavioral economists, social scientists, or AI ethicists exploring agent behavior.

No commits in the last 6 months.

Use this if you want to explore how AI agents with different defined personalities might behave in classic economic game theory and behavioral economics experiments, without needing to recruit human participants.

Not ideal if you are looking to simulate complex, real-world market dynamics or require highly customized experimental setups beyond the predefined paper scenarios.

behavioral-economics social-simulation game-theory economic-research AI-ethics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 0 / 25

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23

Forks

Language

Python

License

MIT

Last pushed

May 12, 2024

Commits (30d)

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