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Arxiv
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Evaluating LLM Agent Collusion in Double Auctions
- Large language models (LLMs) are being examined for collusion behavior as sellers in simulated continuous double auction markets.
- Study analyzes factors influencing collusive tendencies, including communication abilities, choice of model, and environmental pressures.
- Direct seller communication found to increase collusive behavior, with variations across different models.
- Research emphasizes economic and ethical implications of deploying LLM agents in market scenarios.
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