AI RESEARCH
Beyond Preset Identities: How Agents Form Stances and Boundaries in Generative Societies
arXiv CS.AI
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ArXi:2603.23406v1 Announce Type: new While large language models simulate social behaviors, their capacity for stable stance formation and identity negotiation during complex interventions remains unclear. To overcome the limitations of static evaluations, this paper proposes a novel mixed-methods framework combining computational virtual ethnography with quantitative socio-cognitive profiling. By embedding human researchers into generative multiagent communities, controlled discursive interventions are conducted to trace the evolution of collective cognition.