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New LLM simulator models financial fraud economy

Researchers have developed FraudSociety, a novel LLM-agent-based simulator designed to model the financial fraud economy. This simulator uniquely integrates a social environment for information exposure with financial ledgers to capture both informational and financial dynamics. It aims to bridge the gap in existing simulators that typically focus on only one aspect of fraud. The system uses a Need-Intent-Action architecture for civilian decision-making and allows fraudsters to adapt their strategies based on interaction histories and ledger states, creating a feedback loop. AI

IMPACT This simulator could advance research on financial fraud and its prevention by providing a testbed for anti-fraud strategies.

RANK_REASON The cluster describes a research paper introducing a new simulator for financial fraud. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New LLM simulator models financial fraud economy

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The cluster describes a research paper introducing a new simulator for financial fraud. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Keyang Chen, Mingxuan Jiang, Zeping Li, Yiwen Zhao, Yifan Wang, Qiuyang Zhang, Shuaicheng Qi, Yicun Liu, Zhixin Li, Sen Liu, Yinan Jing, Guangnan Ye, Hongfeng Chai ·

    FraudSociety: A Generative Agent-Based Society for the Financial-Fraud Economy

    arXiv:2610.33536v1 Announce Type: new Abstract: Financial fraud caused over \$15.9 billion in losses in the United States in 2025, according to the Federal Trade Commission~\citep{ftc2026databook}. Understanding such large-scale harm requires jointly modeling informational and fi…