arXiv cs.MA· Federico Gatta, Manuel Naviglio, Francesco Tarantelli·· 13 小时前AI 评分31
当身份可重置：AI 智能体市场中声誉机制的经济学分析
Tempting the Agent: The Economics of Reputation without Persistent Identity in AI Agent Markets
AI 导读
一篇 arXiv 论文构建动态经济框架，分析声誉何时足以约束自主 AI 智能体：智能体每期在诚实经营、投资质量以保住未来收益、以及一次性套现声誉后以受罚新身份重启之间做选择。研究将机会主义诱惑与身份重置成本、声誉持久性、需求敏感度和执法设计联系起来，推导最优质量供给的比较静态结果。论文以区块链上运行于 ERC-8004、ERC-8183、x402 等基础设施的自主 AI 智能体为主要应用场景。
正文 · 原文
Abstract:Reputation is a fundamental mechanism through which markets sustain trust when service quality cannot be perfectly assessed ex ante, constituting a form of intertemporal economic capital by attracting future demand. Its effectiveness as a disciplinary mechanism depends not only on past interactions but also on the persistence of the identity to which reputation is attached. When identities can be abandoned and recreated cheaply, reputational capital may itself become an object of opportunistic exploitation.
This paper develops a dynamic economic framework to study when reputation is sufficient to discipline autonomous agents. We model reputation as capital attracting future economic activity. At each point, an agent chooses between operating honestly, investing in quality to preserve future gains, or executing a one-shot deviation to extract its reputation's value and restart from a penalized identity. Our analysis relates the temptation to opportunistic behavior to identity-reset costs, reputation persistence, demand sensitivity, and enforcement design, deriving comparative statics on optimal quality provision.
Autonomous AI-agent operating on the blockchain are a relevant application: infrastructures such as ERC-8004, ERC-8183, and x402 combine reputation, identity, and payments in permissionless markets. Nonetheless, our framework applies to any environment where reputation generates future business and identities are replaceable.
| Subjects: | General Finance (q-fin.GN); Multiagent Systems (cs.MA) |
| Cite as: | arXiv:2609.02992 [q-fin.GN] |
| (or arXiv:2609.02992v2 [q-fin.GN] for this version) | |
| https://doi.org/10.48550/arXiv.2609.02992 arXiv-issued DOI via DataCite |
Submission history
From: Federico Gatta [view email]
[v1]
Wed, 2 Sep 2026 15:47:12 UTC (4,270 KB)
[v2]
Wed, 21 Oct 2026 12:44:59 UTC (666 KB)
来源：arXiv cs.MA · arxiv.org