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授课对象
: 计算机系本科生(一班)
教室
: 仙林校区仙2-313
时间
: 周五1-2节
教材
: Stuart J. Russell, Peter Norvig. Artificial Intelligence: A Modern Approach (3rd edition), Pearson, 2011.
助教
:
魏秀参
总评
: 课程作业 + 期末考试
课程讨论QQ群
:204071350
考试
: 6月28日 16:30-18:30 仙1-201
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相关课程
建议同时选修“
机器学习
”、“
数据挖掘
”、“
模式识别
”课
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作业
本次课程有四次作业,将基于GVGAI框架,请立即开始熟悉该框架:
http://www.gvgai.net
>>>作业1: 黑白棋游戏>>>
|
>>>收到作业名单>>>
>>>作业2: Bait游戏>>>
|
>>>收到作业名单>>>
>>>作业3: Aliens游戏>>>
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课程材料
Introduction (
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)
Search 1: Uninformed Search (
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)
Search 2: Informed Search (
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)
Search 3: Adversarial Search (
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)
Search 4: Beyond Classical Search: Bandit, Monte-Carlo Tree Search, and General Search (
Download PDF
)
Search 5: Constraint Satisfaction Problems (
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)
Knowledge 1: Propositional Logic (
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)
Knowledge 2: First Order Logic (
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)
Knowledge 3: SAT, Planning and Ontology (
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)
Uncertainty 1: Bayesian Network (
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)
Uncertainty 2: Inference in Bayesian Network (
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)
Learning 1: Decision Tree (
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)
Learning 2: Neural Networks (
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)
Learning 3: Learning Principle (
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)
Learning 4: Linear Learners (
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)
Learning 5: Nearest Neighbor and Naive Bayes Classifiers (
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)
Learning 6: Feature Processing (
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)
Learning 7: MDP and Reinforcement learning (
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)
Final: On Artificial Intelligence (
Download PDF
)
slides are derived from Russell's in http://aima.cs.berkeley.edu/instructors.html
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学术资源
人工智能领域学术期刊/杂志:
Artificial Intelligence
Journal of Artificial Intelligence Research
AI Magazine
Artificial Intelligence Review
IEEE Intelligent Systems
ACM Transactions on Intelligent Systems and Technology
人工智能领域学术会议
IJCAI
AAAI
ECAI
PRICAI
Aus-AI