一、內容
1. Introduction and overview --What is AI?
2. Search techniques:
Uninformed search, Heuristic search, Adversary search
3. Knowledge representation:
Logic, Frames, Semantic nets, Common sense knowledge
4. Reasoning techniques:
Forward/Backward chaining resolution
5. AI programming languages
6. Planning
7. Learning

本課程之內容以rational agents為主軸，學生將以各種人工智慧語言製作智慧型agent程式於一簡單之電腦模擬環境中執行任務，因此欲修此課學生應具有基本之程式設計能力及興趣。

二、教科書
Artificial Intelligence: A Modern Approach (2nd Edition)By S. Russell and P. Norvig, Prentice Hall, 2003. (新月)

三、參考書
Artificial Intelligence: A New SynthesisBy N. J. Nilsson, Morgan Kaufmann, 1998Essentials of Artificial IntelligenceBy M. Ginsberg, Morgan Kaufmann, 1993. (松崗)Artificial Intelligence, 2nd EditionBy E. Rich and B. Knight, McGraw-Hill, 1991.

四、成績評量方式作業、考試、計畫