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([MainPage|Back to homepage]) ==Information== * '''授课对象''': 计算机系本科生 * '''教室''': 仙林校区仙2-117 * '''时间''': 周五3-4节 + 双周周三1-2节 * '''教材''': Stuart J. Russell, Peter Norvig. Artificial Intelligence: A Modern Approach (3rd edition), Pearson, 2011. * '''助教''': [^http://lamda.nju.edu.cn/yangjw|杨敬文] * '''总评''': 课程作业 + 期末考试 ==作业== * [course_ai15_hw1|>>>作业1: 推盒子游戏>>>] <s>截止日期: 3月26日晚上8点整</s> * [course_ai15_hw2|>>>作业2: 黑白棋游戏>>>] <s>截止日期: 4月16日晚上8点整</s> * [course_ai15_hw3|>>>作业3: Mr.PacMan游戏>>>] <font color="red">截止日期: 7月10日晚上8点整</font> ==课程材料== # Introduction ([{UP}course_ai15/Lecture1.pdf|Download PDF]) # Search 1: Uninformed Search ([{UP}course_ai15/Lecture2.pdf|Download PDF]) # Search 2: Informed Search ([{UP}course_ai15/Lecture3.pdf|Download PDF]) # Search 3: Iterative-Improvement Methods ([{UP}course_ai15/Lecture4.pdf|Download PDF]) # Search 4: Adversarial Search ([{UP}course_ai15/Lecture5.pdf|Download PDF]) # Search 5: Constraint Satisfaction Problems ([{UP}course_ai15/Lecture6.pdf|Download PDF]) # Knowledge 1: Propositional Logic ([{UP}course_ai15/Lecture7.pdf|Download PDF]) # Knowledge 2: First Order Logic ([{UP}course_ai15/Lecture8.pdf|Download PDF]) # Knowledge 3: SAT, Planning, Ontology ([{UP}course_ai15/Lecture9.pdf|Download PDF]) # Uncertainty 1: Probability and Bayesian Network ([{UP}course_ai15/Lecture10.pdf|Download PDF]) # Uncertainty 2: Inference in Bayesian Network ([{UP}course_ai15/Lecture11.pdf|Download PDF]) # Uncertainty 3: Inference with Time ([{UP}course_ai15/Lecture12.pdf|Download PDF]) # Learning 1: Decision Tree Learning ([{UP}course_ai15/Lecture13.pdf|Download PDF]) # Learning 2: Neural Networks ([{UP}course_ai15/Lecture14.pdf|Download PDF]) # Learning 3: Learning Principle ([{UP}course_ai15/Lecture15.pdf|Download PDF]) # Learning 4: Linear Models ([{UP}course_ai15/Lecture16.pdf|Download PDF]) # Learning 5: Nearest Neighbors, Naive Bayes, and Ensemble Learning ([{UP}course_ai15/Lecture17.pdf|Download PDF]) # Learning 6: Feature Processing ([{UP}course_ai15/Lecture18.pdf|Download PDF]) <small>slides are derived from Russell's in http://aima.cs.berkeley.edu/instructors.html</small><br/> <small>[{UP}course_ai15/chslides.zip|slides for reference]</small> ==学术资源== * 人工智能领域学术期刊/杂志: ** [^http://dblp.uni-trier.de/db/journals/ai/|Artificial Intelligence] ** [^http://dblp.uni-trier.de/db/journals/aim/|AI Magazine] ** [^http://dblp.uni-trier.de/db/journals/air/|Artificial Intelligence Review] ** [^http://dblp.uni-trier.de/db/journals/expert/|IEEE Intelligent Systems] ** [^http://tist.acm.org/index.php|ACM Transactions on Intelligent Systems and Technology] * 人工智能领域学术会议 ** [^http://dblp.uni-trier.de/db/conf/ijcai|IJCAI] ** [^http://dblp.uni-trier.de/db/conf/aaai|AAAI] ** [^http://dblp.uni-trier.de/db/conf/ecai|ECAI] ** [^http://dblp.uni-trier.de/db/conf/pricai|PRICAI] ** [^http://dblp.uni-trier.de/db/conf/ausai|Aus-AI]
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