SocioVerse2: A Longitudinal Dynamic Social Simulation Framework under a Human-AI Co-evolutionary Paradigm

arXiv:2609.24911 · cs.CL, cs.CY · Submitted 2026-09-21 · Read on arXiv

cs.CL, cs.CY

Submitted: 2026-09-21

Updated: 2026-09-21

Comments: Project page: https://socioverse.fudan-disc.com/

Code: https://github.com/Lishi905/SocioVerse-ABM

Project page: https://socioverse.fudan-disc.com

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Core — 35× in this paper · explained in 2 episodes
• Ablation — 34× in this paper · explained in 1 episode
• Alignment — 24× in this paper · explained in 1 episode
• Fidelity — 24× in this paper · explained in 2 episodes
• Actor — 20× in this paper · explained in 3 episodes
• Accuracy — 17× in this paper · explained in 1 episode
• Benchmark — 13× in this paper · explained in 2 episodes
• Calibration — 10× in this paper · explained in 7 episodes
• Consistency — 10× in this paper · explained in 3 episodes
• Grounding — 10× in this paper · explained in 3 episodes
• Provenance — 7× in this paper · explained in 4 episodes
• Cooperation — 5× in this paper · explained in 2 episodes
• Abstraction — 4× in this paper · explained in 1 episode
• Agent-based modeling — 3× in this paper · explained in 1 episode
• Human-in-the-Loop — 3× in this paper · explained in 3 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Action Space — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Causal Inference — 2× in this paper · explained in 4 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Agent Core — 1× in this paper · explained in 2 episodes
• Agent-Based Simulation — 1× in this paper · explained in 1 episode
• Agentic Workflows — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Conference on Human Factors in Computing Systems — 1× in this paper
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Proximal Policy Optimization — 1× in this paper
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 5 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents
• Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
• YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models
• AgentSociety 2: An Integrated Research Environment for Executable Social Science
• WhatIf: Interactive Exploration of LLM-Powered Social Simulations for Policy Reasoning
• Inject, Fork, Compare: Defining an Interaction Vocabulary for Multi-Agent Simulation Platforms
• Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation
• LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
• AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society
• SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users
• OASIS: Open Agent Social Interaction Simulations with One Million Agents
• How Far Are We From True Auto-Research?
• Jr. AI Scientist and Its Risk Report: Autonomous Scientific Exploration from a Baseline Paper
• AI Scientists Fail Without Strong Implementation Capability
• Agent Laboratory: Using LLM Agents as Research Assistants
• Accelerating scientific discovery with Co-Scientist
• HLER: Human-in-the-Loop Economic Research via Multi-Agent Pipelines for Empirical Discovery
• The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
• Whose Opinions Do Language Models Reflect?
• EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities

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