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Web3 基础设施公司 Biconomy 正在引入人工智能 (AI) 代理,以代表用户实现链上交易。Biconomy 联合创始人 Aniket Jindal 向 Cointelegraph 解释道,委托授权网络 (DAN) “相对较新”,充当授权层,允许将交易活动委托给 AI 代理。
; N' O. q C. F4 G' B& i授权是指代理人可以自主管理交易账户,按照事先的指令执行交易。在去中心化应用程序(DApp)中定义权限后,它可以接收用户关于分配和交易策略的个性化输入。 Jindal 解释说:“从本质上讲,DAN 允许用户将某些交易任务和授权委托给 AI 代理,赋予它们在预定义参数范围内代表用户采取行动的能力。例如,以对话的方式,‘请将我的 1,000 美元用于此策略’,甚至通过设置仪表板提供更精细的控制。“ 人工智能代理被设计为代表用户自主或半自主地执行特定任务。这些任务范围很广,从简单的任务(例如自动执行重复操作)到复杂的任务(例如根据预设标准或学习经验在动态环境中做出决策)。 AI 代理和 AI 驱动的交易机器人之间的区别在于其操作的复杂性和适应性。虽然 AI 代理可以帮助优化资产配置和投资组合管理,但交易机器人专门用于自动化资产买卖。 该网络使用一种分片机制来保护密钥的隐私。据 Biconomy 称,系统会为每个用户生成一个新的委托授权密钥。然后,该密钥被分割成多个分片,并分布在分散的节点网络中,确保没有任何单个节点可以访问完整密钥。 Jindal 表示:“为了确保 DAN 网络中的每个节点都按预期运行,DAN 利用 EigenLayer 来确保以太坊的强大经济安全性。” EigenLayer 网络中的验证者会重新持有以太坊,如果检测到恶意活动,则会受到惩罚。人工智能很快就会参与链上交易,而 DAN 可以在不牺牲自我保管权的情况下安全地促进这一交易。 人工智能代理市场,尤其是金融领域的市场,预计将快速增长。根据 Grand View Research 的一份报告,到 2030 年,全球自主人工智能和自主代理市场预计将达到约 705.3 亿美元,2023 年至 2030 年的复合年增长率为 42.8%。金融机构正在利用人工智能代理实现交易自动化、管理风险和检测欺诈等用例。 $ A9 H4 V0 M9 X5 B
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