CMSC 671, Fall 2003 - Course Syllabus
as of 10/21/03

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Class

Date

Topic

Reading

Homework

Comments

1 W 8/27 Introduction Ch. 1, Lisp Ch. 1, McCarthy paper HW1(PW) out Slides

Lisp handout

2 W 9/3 Agents/Lisp Ch. 2, Lisp Ch. 2-3, Graham article
Useful website: http://www.apl.jhu.edu/~hall/lisp.html
  Slides

Fibonacci Lisp example

3 M 9/8 Problem solving as search; Lisp Ch. 3.1-3.3, Lisp Ch. 4-5, App. A   Slides
4 W 9/10 Uninformed search Ch. 3.4-3.7   Slides: see above
5 M 9/15 Informed search Ch. 4.1-4.2, Lisp Ch. 7 HW1 due; HW2(PW) out Slides
6 W 9/17 Local search Ch. 4.3, 4.5 Slides: See above; 8puzzle.lisp
7 M 9/22 Constraint satisfaction Ch. 5.1-5.5; Vipin Kumar, "Algorithms for Constraint Satisfaction Problems: A Survey"; Roman Bartak, "Constraint Programming: In Pursuit of the Holy Grail" Student evaluation #1 Slides
8 W 9/24 Game playing Ch. 6.1-6.3 Project description out Slides
9 M 9/29 Game playing II Ch. 6.4-6.7 HW2 due; HW3(PW) out Slides: See above
10 W 10/1 Knowledge-based agents Ch. 7.1-7.3 Project teams formed Slides
11  M 10/6 Propositional logic Ch. 7.4-7.8   Slides
12 W 10/8 First-order logic Ch. 8.1-8.3, 8.5   Slides
13 M 10/13 Philosophy and history of AI Chronology of AI; Ch. 26, Turing article; Searle article HW3 due Slides
14 W 10/15 Logical inference; review for midterm Ch. 9 Project proposal due Slides; Another FOL resolution example
15 M 10/20 MIDTERM    
16 W 10/22 Knowledge representation Ch. 10.1-10.3, 10.6 (skim), 10.9 HW4(W) out. Slides
17 M 10/27 State-space planning Ch. 11.1-11.2 Student evaluation #2 Slides
18 W 10/29 Partial-order planning Ch. 11.3 Dr. desJardins out of town; Prof. Tim Finin will guest lecture. Slides: see above
19 M 11/3 Graphplan and Satplan Ch. 11.4-11.7 Dr. desJardins out of town; Prof. Tim Oates will guest lecture. Slides
20 W 11/5 Scheduling and hierarchical planning Ch. 12 HW4 due; HW5(W) out. Slides
21 M 11/10 Probabilistic reasoning Ch. 13   Slides
22 W 11/12 Bayesian networks Ch. 14.1-14.3 Project design due; individual reports due Slides
23 M 11/17 Bayes net inference Ch. 14.4-14.8 Slides: See above
24 W 11/19 Machine learning; decision trees Ch. 18.1-18.3 HW5 due; HW6(W) out. Slides 
25 M 11/24 Version spaces, computational learning theory Ch. 19.1, 18.5-18.6, additional reading to be distributed   Slides: See above
26 W 11/26 Decision theory Ch. 16   Slides
27 M 12/1 Multi-agent systems Ch. 12.7; Jennings et al., "A roadmap of agent research and development"; desJardins et al., "A survey of research in distributed, continual planning" Slides
28 W 12/3 Other topics in AI; research directions in AI Ch. 27; additional reading TBA (Tournament dry run)
HW6 due. Draft final report due
 
29 M 12/8 Tournament   Tournament  
M 12/15 PROJECT AND FINAL REPORT DUE   Project and final report due  
-- M 12/15 FINAL EXAM, 1-3 p.m.   Final exam