Topic List and Schedule:

9/21		Course Overview & Introduction
9/28		Break (Mid-Autumn Festival)
10/5		Break (ICSLP2004, Jeju island)
10/12		Agents	HW-01: Exercises 2.5 PEAS (Due: 10/19)
10/19		Searching: Uninformed Search: DFS, BFS, IDS, etc.	HW-02: 8 Puzzle  (Due: 10/12)
10/26		Searching: Informed Search: Greedy Best-First, A* Search, etc.	HW-03: 8 Puzzle - A* (Due: 10/16)
11/2		Searching: Informed Search: Local Search, Genetic algorithms, etc.
11/9		Searching: Constraint Satisfaction	HW-04: Exercise 5.7 Map Coloring (Due: 12/7)
11/16		Searching: Adversarial Search (Game Playing) (deterministic)
11/23		Midterm
11/30		Paper Survey    黃文樟 - Complete Solution of the Eight-Puzzle and the Benefit of Node Ordering in IDA*    胡淑琼 - Optimal Algorithms for 2 × n AB Games – A Graph-Partition Approach    廖彥翔 - Support Vector Machine Searching: Adversarial Search (Game Playing) (nondeterministic)
12/7		Paper Survey   張黎文 - Look-ahead-based Algorithms for Anytime Induction of Decision Trees   李任軒 - 機器翻譯之最新發展趨勢   吳佳厚 - Mobile Agent Systems with the Capability of Byzantine Fault Tolerance   劉士弘 - 3,000,0000 Queens in Less Than One Minutes
12/14		Break (ITS Workshop, NTNU )
12/21		Logical Agent & Propositional Logic
12/28		Logical Agent & Propositional Logic First-Order Logic and Inference	HW-05: Exercises 7.2, 7.8 Propositional Logic (Due: 1/4)
1/4		First-Order Logic and Inference	HW-06: Show the logically equivalent relation of the sentences used in the diagnostic rule and causal rule on P. 259 and 260 (Due: 1/11)
1/11		Probabilistic Reasoning: E.g. Hidden Markov Models
1/26		Final (Wednesday)
		Knowledge-Based Systems and Expert Systems Knowledge Representation & Planning Uncertainty and Probabilistic Reasoning (Some of the above topics will be discussed in the Machine Learning and Data Mining  course offered in the next semester)

Textbook:

1

Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, Prentice-Hall, 2003  (新月圖書代理)

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References:
  Books:

1		Nils J. Nilsson. Artificial Intelligence: A New Synthesis. Morgan Kaufmann, 1998
2		Ivan Bratko. Prolog Programming for Artificial Intelligence. Addison-Wesley, 2001
3		P. R. Harrison. Common Lisp and Artificial Intelligence. Prentice Hall, 1990  (開發代理)
4		Franz Inc. Common Lisp: The Reference. Addison-Wesley, 1988  (開發代理)
5		T.M. Mitchell. Machine Learning. McGraw-Hill, 1997
6		Nils J. Nilsson. Introduction to Machine Learning, September 26, 1996
7		I. H. Witten and E. Frank. Data Mining. Morgan Kaufmann, 2000