[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fLYLqPpQeoME5KTux2127ONwhyOGKXOyQOsBaL3K_D-A":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":16,"related":17,"source":27,"type":28},[],"2025-12-22 10:21:50",279485510,[8,9,10,11],"本质上解决问题的思路与A*搜索是类似的","AlphaGo在实现中也使用了大量人工设定的围棋知识","借用了深度学习的超强表示能力、蒙特拉洛树的概率优化能力","不属于博弈",{"courseId":13,"courseImg":14,"courseName":15},"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","关于AlphaGo说法错误的是()",[18,29,38,41,50,59,68,77,86,95],{"answer":19,"createTime":5,"id":20,"options":21,"question":26,"source":27,"type":28},[],279485508,[22,23,24,25],"全部样本都需要人工标注","对部分数据引入监督,使用间接的答案信息","不需要人工标注任何知识","方法简单、数据成本低,但性能难以提升","以下哪项是弱监督学习的特点()","v1",0,{"answer":30,"createTime":5,"id":31,"options":32,"question":37,"source":27,"type":28},[],279485509,[33,34,35,36],"人工智能发展的核心方法论一直在随着时间变化,研究问题都不具有持续性","人工智能是研究开发能够模拟、延伸和扩展人类智能的理论、方法、技术及应用系统的一门新的技术科学","人工智能的每个发展时期,都有比较明确的主流方法和里程碑式的应用成果","人工智能学科的发展与实际应用紧密结合","以下关于人工智能的说法错误的是()",{"answer":39,"createTime":5,"id":6,"options":40,"question":16,"source":27,"type":28},[],[8,9,10,11],{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":27,"type":28},[],279485511,[45,46,47,48],"&alpha;-&beta;剪枝在很长一段时间里都是棋类算法的代表,取得一系列成就","蒙特卡洛树搜索&quot;方式,以&quot;信心上限决策&quot;打分,使计算机围棋能力得到质的提升.为后续方法奠定基础","&alpha;-&beta;剪枝使用到了宽度优先算法","Alpha Go问世,将深度学习、价值网络、蒙特卡洛树搜索技术融合,战胜人类顶尖棋手","下列说法错误的是()",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":27,"type":28},[],279485512,[54,55,56,57],"选择","转化","连接","离散","状态空间图表示方法的核心思想包括将衔接、转移、导致等关系表示为状态之间的()",{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":27,"type":28},[],279485513,[63,64,65,66],"行为主义","经验主义","符号主义","连接主义","早期的人工智能研究,主要采用()",{"answer":69,"createTime":5,"id":70,"options":71,"question":76,"source":27,"type":28},[],279485514,[72,73,74,75],"IBM的&quot;深蓝&quot;以及&quot;Watson&quot;都属于计算智能的典型代表作","现阶段主流的人工神经网络方法属于连接主义","人工智能的发展经历了从&quot;逻辑智能&quot;到&quot;计算智能&quot;再到&quot;认知智能&quot;的转变","符号主义与经验主义是统一的,是经验主义解决问题的方式","下列关于人工智能发展的说法错误的是()",{"answer":78,"createTime":5,"id":79,"options":80,"question":85,"source":27,"type":28},[],279485515,[81,82,83,84],"固定化","内容化","结构化","模型化","知识表示就是将人类知识形式化或者()",{"answer":87,"createTime":5,"id":88,"options":89,"question":94,"source":27,"type":28},[],279485516,[90,91,92,93],"记忆力机制的出现解决了网络容量问题","一个深度学习模型可以仅依靠增加神经元数量,无限增加其内部记忆容量","最简单的记忆力模型主要包含一系列的记忆单元和I,G,O,R四个模块","记忆力模型的运行过程分为记忆写入、记忆读取两部分","以下关于记忆容量和记忆力机制的说法错误的是()",{"answer":96,"createTime":5,"id":97,"options":98,"question":103,"source":27,"type":28},[],279485517,[99,100,101,102],"特征匹配中常见的特征包括颜色特征、纹理特征、形状轮廓特征","马尔理论是一个自上而下的理论","深度学习仍需要专家提供知识,再通过神经网络堆叠结构,实现特征表征","要让计算机理解图像,一定先要恢复物体的三维结构","下列关于计算机视觉研究的说法正确的是()"]