天主教輔仁大學課程大綱天主教輔仁大學課程大綱

(1)

請尊重智慧財產權及著作權，不得非法影印任何有版權的著作請尊重智慧財產權及著作權，不得非法影印任何有版權的著作

Please respect the intellectual property rights and use the materials legally.

課程名稱

Course Title ^人工智慧

授課教師

Instructor ^王元凱學年度

Academic year

93 ^學期

Semester 1

課程大綱

教學目標:

講授人工智慧的相關課題，包括理論(Search, Knowledge representation, Learning, Uncertainty) 與應用(Natural language Processing, Vision, Robotics, Agents)。授課方式:

按課本進度，上課時以投影片講授課程進度及綱要:

1. Introduction 2. Intelligent Agents 2. Problem Solving by Search 3. Informed Search

4. Uncertainty (Probability, Bayes Rule) 5. Probabilistic Reasoning (Bayesian Networks)

6. Probabilistic Reasoning over Time (Hidden Markov Model, Kalman filter) 7. Machine Learning:

Decision trees, Neural networks, genetic algorithms 8. Statistical Learning Methods:

Maximum-likelihood learning, EM algorithm, HMM, Bayesian Networks 9. Advanced Topics and Systems:

a. Natural language processing, b. Vision and robotics

參考書籍:

1. Aritificial Intelligence, 2003, 2nd, by S. Russell and P. Norvig, Prentice Hall, ISBN:0-13-790395-2

評分方式: 考試，作業