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Notice

The main page of Professor Yuan's Machine Learning and Data Mining course has been changed to site: http://bcmi.sjtu.edu.cn/mldm/

学生用户信息更新,请尽快注册,如有问题联系助教tczhouzz@126.com  (2016/9/14 9:42:14)
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今后作业打分如有问题,也请联系助教tczhouzz@126.com。  (2016/9/14 9:54:29)
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可以开始补交,日期至12月15号。  (2016/12/9 10:55:02)

Introduction

Course Description:
Artificial Intelligence (AI) is still a research discipline in attempting to understand the mechanisms underlying intelligent behavior and to build "intelligent systems" from variety of mechanical and electronic devices. This course is to offer an introduction to artificial intelligence covering from mechanism, models, algorithm to some typical AI applications as well. The course AI covers the following interesting topics: a brief history of AI, research and philosophical questions faced by AI practitioners, representing and solving AI problems in a state space search formalism, heuristics, connectionism, and specific AI problems such as vision, natural language and robotics.

Course Objectives:
To develop the student's understanding of the issues involved in trying to define and simulate intelligence.
To familiarize the student with specific, well known Artificial Intelligence methods, algorithms and results.
To provide the student additional experience in the analysis and evaluation of complicated systems.
To provide the student with paper and proposal writing experience.

Prerequisites:
Advanced Programming, Mathematical Logic

Evaluation:
Students will be graded on their understanding of the course as reflected in their performance on the homework, class participation, examinations, and projects as follows (approximately):

Homework 20% + Projects 40% + Final Exams 40%

Instructor:
Liqing Zhang, Prof.
Office: Room 3-435, SEIEE Building
Tel: 34204423
Email: zhang-lq@cs.sjtu.edu.cn


Bo Yuan, Ph.D., Prof.
Office: Room 3-401, SEIEE Building
Phone: 131-6211-5543
Email: boyuan@sjtu.edu.cn

Textbook and References:

Textbook: Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, Prentice Hall, Englewood Cliffs, New Jersey, 2003.

References:
[1] George Luger, Artificial Intelligence: Structures and Strategies for Complex Problem Solving, Addison-Wesley, 2008
[2] Nils Nilsson, "Artificial Intelligence", Morgan Kaufman, 1998

Homework

Deal with the issues related to your homework.

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Slide
Ch1-Introduction
Ch3-UninformedSearch
Ch2-IntellAgents
Ch4-InformedSearch
Ch5-CSP
Ch4-MachineEvolution
Ch6-AdversarialSearch
Ch7-Logical Agents
Ch8-FirstOrderLogic
Ch9-Inference-FOL
Ch10-KowledgeBase
Ch13-Uncertainty
CH14-Inference Uncertainty
Ch15-Inference-Time
Ch10KnowledgeBase-New
Ch16-Decisions
Ch18-Learning
Ch18-Learning-New
围棋AI课件

Prof. Yuan's Slides

Lecture 01
Lecture 02
Lecture 03
Lecture 04
Lecture 05
Lecture 06
Lecture 07
Lecture 08
Lecture 09
Final exam example
苑波教授人工智能英语授课视频

Paper
Overview Paper-Computer Go

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