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本教学日程提供了讲座的主题和推荐教材中的相关内容。
人工智能，Patrick H.
Winston，第3版
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讲座序号
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讲座日期 |
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侧重点 |
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授课人 |
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主要内容 |
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周三 |
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绪论，什么是人工智能 |
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2 |
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周一 |
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符号集成中的规则，范例学习， pp. 61 |
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3 |
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周三 |
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基于规则的专家系统的规则，pp. 53-60, 119-137 |
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4 |
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周一 |
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基本的搜索，第4章。 |
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5 |
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周三 |
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优化搜索，第5章 |
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6 |
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周三 |
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博弈中的搜索，第6章。 |
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7 |
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周一 |
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方块图中的约束，pp. 249-272 |
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8 |
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周三 |
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地图和调度中的约束 |
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9 |
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周一 |
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通过Rete算法实现的规则，pp. 138-160 |
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10 |
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周三 |
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课堂测验 |
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11 |
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周三 |
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语言中的约束，第29章 |
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12 |
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周一 |
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表达范式的框架，pp. 179-202。 |
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13 |
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周三 |
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推理机制的框架，pp. 202-206。
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14 |
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周一 |
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通过最近邻学习，第19章。 |
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15 |
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周三 |
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通过建立判定树学习 |
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16 |
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周一 |
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PHW |
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通过BP神经网络学习，第22章 |
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17 |
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周三 |
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通过演化解决方案学习，第25章 |
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18 |
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周三 |
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支持向量机 |
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19 |
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周一 |
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课堂测验 |
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20 |
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周三 |
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L,S |
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PHW |
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通过分析差异学习，第16章。 |
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21 |
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周一 |
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L,S |
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PHW |
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利用视觉中的线形组合进行学习，第26章。 |
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22 |
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周三 |
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我认为我明白所有的事情之后，我所能学到的。 |
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23 |
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周一 |
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L,S |
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利用讲话中的间隔进行学习。 |
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24 |
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周三 |
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Pawan Sinha主讲 |
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25 |
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周一 |
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L,S |
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PHW |
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通过解释与修复的学习，第17和18章，评估 |
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26 |
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周三 |
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PHW |
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课程结束总结 |
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侧重点
R =
侧重推理
L =
侧重学习
S =侧重知识
授课人
PHW = Patrick Winston
G =客座教师
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