[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fOChzg9qcx-iAl6dt3UW1zIfLkNCgbIuzX4HkeNAqUhA":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":8,"question":15,"related":16,"source":25,"type":94},[],"2025-12-06 01:34:53",251882878,[],{"count":9,"courseId":10,"courseImg":11,"courseName":12,"workId":13,"workName":14},29,"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","b0b6ac602ebc4c9bb550edae9c086607","章节测验:第一周 人工智能学科概述","在()学习中,学习者不会被告知应该采取什么动作,而是必须自己去尝试发现哪些动作湖产生最大收益",[17,27,36,45,54,62,71,79,84,89],{"answer":18,"createTime":19,"id":20,"options":21,"question":24,"source":25,"type":26},[],"2025-12-29 21:24:59",235793276,[22,23],"算数(数据)算力","算法","人工智能基础要素包括()","v1",1,{"answer":28,"createTime":19,"id":29,"options":30,"question":35,"source":25,"type":26},[],235793277,[31,32,33,34],"行为主义","符号主义","连接主义","逻辑主义","人工智能的主要学派包括()",{"answer":37,"createTime":19,"id":38,"options":39,"question":44,"source":25,"type":26},[],235793278,[40,41,42,43],"弱人工智能","通用人工智能","强人工智能","超人工智能","人工智能可以分为()",{"answer":46,"createTime":47,"id":48,"options":49,"question":53,"source":25,"type":26},[],"2025-12-29 21:17:26",235793279,[50,51,52],"比特(bit)","奈特(Nat)","哈特(Hart)","信息熵的单位包括()",{"answer":55,"createTime":19,"id":56,"options":57,"question":61,"source":25,"type":26},[],235793280,[58,59,60],"无监督学习","强化学习","监督学习","机器学习包括的主要类型有()",{"answer":63,"createTime":19,"id":64,"options":65,"question":70,"source":25,"type":26},[],235793281,[66,67,68,69],"降维","聚类","分类","回归","常见的机器学习任务有()",{"answer":72,"createTime":5,"id":73,"options":74,"question":77,"source":25,"type":78},[],251882868,[75,76],"正确","错误","电车难题作为伦理困境经典案例,探讨人工智能在自主决策中的责任认定问题",3,{"answer":80,"createTime":5,"id":81,"options":82,"question":83,"source":25,"type":78},[],251882869,[75,76],"维纳提出的&quot;熵&quot;的概念和三个基本定律构成了信息论的核心,也是后来信息技术发展的理论基础",{"answer":85,"createTime":5,"id":86,"options":87,"question":88,"source":25,"type":78},[],251882870,[75,76],"大模型是指使用大规模数据和强大的计算能力训练出来的&quot;大参数&quot;模型,这些模型通常具有高度的通用性和泛化能力",{"answer":90,"createTime":5,"id":91,"options":92,"question":93,"source":25,"type":78},[],251882871,[75,76],"自然语言处理是人工智能的重要分支,研究计算机理解、生成和处理人类语言的技术.其核心目标是实现人机自然交互",2]