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This paper investigates formal mechanisms, such as Mediation, to maintain market stability among self-interested LLM agents (DeepSeek-V3) in a simulated marketplace, finding that Mediation enables recovery even under sustained adversarial attacks.
This paper examines how persona prompts influence strategic behavior of large language model agents in an iterated Split or Steal game, finding that mutual Split outcomes dominate and that model choice and persona type significantly affect cooperation and exploitation.
Introduces SovSim, a multi-agent simulation framework for studying cooperation and resource sustainability in LLM societies with asymmetric power structures. Experiments show that introducing a dominant agent (boss or king) severely degrades cooperation and survival rates across 11 state-of-the-art models.