五億合成家庭人格體做經濟模擬 新框架基於真實調查造出五億個合成家庭人格🏠

Computer Science > Multiagent Systems arXiv:2610.

27746 (cs) [Submitted on 20 Oct 2026 (v1), last revised 22 Oct 2026 (this version, v3)] Title:S$^2$-MAS: A Society-Scale Multi-Agent Simulation Framework with 500 Million Household Persona Agents Authors:Yang Li, Yike Wang, Di Wan, Chujun He, Zongsi Xu, Yitao Yu, Quanfeng Lu, Xiyu Chen, Sheng Zhong, Deng Binjie, Yichen Guo, Zhenwei Guo, Hou Jun, Kunhan Guo, Weihao Lin, Tuo Zhou, Hai Liu, Chenwei Wu, Jianyuan Zhong, Xilin Dai, Ye Luo View a PDF of the paper titled S$^2$-MAS: A Society-Scale Multi-Agent Simulation Framework with 500 Million Household Persona Agents, by Yang Li and 20 other authors View PDF HTML (experimental) Abstract:Simulating economic responses at society scale requires agents whose decisions reflect household circumstances and the effects of earlier actions.

We introduce S$^2$-MAS, a society-scale multi-agent simulation framework built on 500 million synthetic household personas grounded in real-survey data.

Its Genese engine separates decisions from state updates, while reusable financial scenarios and application ledgers track consumption, cash, debt and payments.Trained with SFT + RLCD on 2.93 million examples, sharp-421m-mlx achieves 74.55% accuracy and 38.

37% question-macro F1 on one-shot consumer financial-choice tasks derived from held-out survey responses.Its accuracy exceeds GLM-5.3-Flash, Jev 1.13, DeepSeek-V4.1-Flash, GPT-6-Luna and GPT-6-Astra in the common benchmark (full test for the first four; matched 500-group sample for Astra).

We evaluate eight financial task families and simulate 12 million distinct household agents in paired purchase-funding conditions.Jointly raising purchase goals and approved credit limits increases consumption, with responses differing across age and income groups.

Education, employment and household-size differences persist after age-income standardization and mainly reflect transitions from deferral to purchase.Asset and debt groups differ in cash drawdown, repayment and closing debt.

A response-stratified 24-month panel varies purchase goals under a common credit product, with repayment and arrears updating subsequent offers.

S$^2$-MAS links heterogeneous household decisions to evolving consumption, cash and repayment paths, supporting economic experiments across household groups, population scales and time horizons.Comments: 58 pages, 13 main figures and 7 supplementary figures.

Project resources: this https URL Subjects: Multiagent Systems (cs.MA); Artificial Intelligence (cs.AI) Cite as: arXiv:2610.27746 [cs.MA] (or arXiv:2610.27746v3 [cs.MA] for this version) https://doi.org/10.48550/arXiv.2610.

27746 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Yang Li [view email] [v1] Tue, 20 Oct 2026 07:05:47 UTC (2,982 KB) [v2] Wed, 21 Oct 2026 09:52:56 UTC (2,977 KB) [v3] Thu, 22 Oct 2026 09:36:40 UTC (2,968 KB) Full-text links: Access Paper: View a PDF of the paper titled S$^2$-MAS: A Society-Scale Multi-Agent Simulation Framework with 500 Million Household Persona Agents, by Yang Li and 20 other authorsView PDFHTML (experimental)TeX Source view license Additional Features Audio Summary Current browse context: cs.

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