Computational Multi-Agents Society Experiments: Social Modeling Framework Based on Generative Agents

Computational Multi-Agents Society Experiments (CMASE) is a generative agent‑based framework that enables researchers to participate in‑world and trace interventions at runtime, treating simulation as a simulated ethnographic field. It combines LLM‑driven perception, memory, and emotion with a composable environment and researcher roles that allow real‑time interaction, controlled experiments, and forward exploration of intervention trajectories. Using CMASE, the authors replicated two published field studies—urban greenery and social fragmentation, and a public goods game—demonstrating that embedded social interventions produce observable, auditable processes that parametric manipulation alone does not.

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• llms
• agents
• robotics