Beyond Preset Identities: Selective Stance Accommodation and Interaction Reorganisation in Generative Agent Societies
The research investigated how AI agents develop their own stances despite preset identities and how they reorganize social structures through language. By measuring metrics like Innate Value Bias and Trust-Action Decoupling, the study found that agents override initial prompts based on internal biases. This suggests static instructions fail, requiring dynamic alignment mechanisms for coherent social behavior.