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English(EN) AI agents in Algorithmic Electricity Markets: On the Emergence of Tacit Collusion

研究发现:人工智能代理可能在电力市场中学会串通

一项新的研究论文探讨了人工智能代理在算法电力市场中进行默示串通的可能性。该研究由Georgios Tsaousoglou撰写,将战略性竞价建模为一个重复博弈,并使用多智能体强化学习来模拟代理行为。研究结果表明,人工智能代理可以学会维持超竞争性结果,即使没有明确的指示,也表现出默示串通的迹象。 AI

影响 强调了人工智能驱动的市场中可能出现的非竞争性行为的潜在风险,需要仔细的监控和监管考虑。

排序理由 在arXiv上发表的研究论文,详细介绍了人工智能代理中可能出现的行为。

在 arXiv cs.MA (Multiagent) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

研究发现:人工智能代理可能在电力市场中学会串通

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在arXiv上发表的研究论文,详细介绍了人工智能代理中可能出现的行为。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Jakub Seredy\'nski, Georgios Tsaousoglou ·

    人工智能在算法电力市场中的应用:默契合谋的出现

    arXiv:2608.26896v1 Announce Type: new Abstract: As electricity market participants increasingly adopt learning-based agents for their bidding strategies, electricity markets are becoming algorithmic. Evidence from algorithmic markets in other domains shows that tacit collusion ca…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Georgios Tsaousoglou ·

    算法电力市场中的人工智能代理:默契合谋的出现

    As electricity market participants increasingly adopt learning-based agents for their bidding strategies, electricity markets are becoming algorithmic. Evidence from algorithmic markets in other domains shows that tacit collusion can arise purely through independent learning. Mor…