人工智慧
Artificial Intelligence: Principles and Techniques
學期
111-1
學分
0
學分
當期課號
639006
永久課號
AICA30004
開課單位
智慧科學暨綠能學院
授課教師
林柏宏
校區
歸仁
類別
選修
上課時間表
| 節 | 週五 |
|---|---|
2 09:00–09:50 | 人工智慧 CM218（歸仁） 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
概述
Course Content: I Artificial Intelligence II Problem-solving III Knowledge, reasoning, and planning IV Uncertain knowledge and reasoning V Machine Learning VI Communicating, perceiving, and acting
先修科目
Basic concepts of computer science (algorithms, data structures, complexity)
備註
無備註
教學方式
教師未提供此項資料
評分方式
TBD in the first class
課程大綱
教師未提供此項資料
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction - What Is AI? - The Foundations - The History - The State of the Art |
| 第 2 週 | Intelligent Agents - Agents and Environments - Good Behavior: The Concept of Rationality - The Structure of Agents |
| 第 3 週 | Solving Problems by Searching (I) - Search Algorithms - Uninformed Search Strategies - Informed (Heuristic) Search Strategies - Heuristic Functions - Local Search and Optimization Problems - Adversarial Search and Games |
| 第 4 週 | Solving Problems by Searching (II) - Search Algorithms - Uninformed Search Strategies - Informed (Heuristic) Search Strategies - Heuristic Functions - Local Search and Optimization Problems - Adversarial Search and Games |
| 第 5 週 | Constraint Satisfaction Problems - Constraint Propagation - Backtracking Search |
| 第 6 週 | Knowledge, reasoning, and planning (I) - Logical Agents - First-Order Logic - Inference in First-Order Logic - Knowledge Representation - Automated Planning |
| 第 7 週 | Knowledge, reasoning, and planning (II) - Logical Agents - First-Order Logic - Inference in First-Order Logic - Knowledge Representation - Automated Planning |
| 第 8 週 | Knowledge, reasoning, and planning (III) - Logical Agents - First-Order Logic - Inference in First-Order Logic - Knowledge Representation - Automated Planning |
| 第 9 週 | Uncertain knowledge and reasoning (I) - Quantifying Uncertainty - Probabilistic Reasoning - Probabilistic Programming - Making Simple & Complex Decisions - Multiagent Decision Making |
| 第 10 週 | Uncertain knowledge and reasoning (II) - Quantifying Uncertainty - Probabilistic Reasoning - Probabilistic Programming - Making Simple & Complex Decisions - Multiagent Decision Making |
| 第 11 週 | Uncertain knowledge and reasoning (III) - Quantifying Uncertainty - Probabilistic Reasoning - Probabilistic Programming - Making Simple & Complex Decisions - Multiagent Decision Making |
| 第 12 週 | Machine Learning (I) - Learning from Examples - Learning Probabilistic Models - Deep Learning - Reinforcement Learning |
| 第 13 週 | Machine Learning (II) - Learning from Examples - Learning Probabilistic Models - Deep Learning - Reinforcement Learning |
| 第 14 週 | Machine Learning (III) - Learning from Examples - Learning Probabilistic Models - Deep Learning - Reinforcement Learning |
| 第 15 週 | Communicating, perceiving, and acting (I) |
| 第 16 週 | Communicating, perceiving, and acting (II) |
教科書
Title: Artificial Intelligence: A Modern Approach, 4th Edition Author: Russell & Norvig Imprint: Pearson Year: 2020 Isbn10: 0134610997 Isbn13: 9780134610993 Web: http://aima.cs.berkeley.edu
Office Hours
- 地點
- Instructor's office
- 時間
- Friday afternoon
- 聯絡方式
- ext. 57905