LECT:	topics:


1 intro

2 what is AI

3 temporal representation

4 qualitative temporal constraints

5 temporal constraint propogation

6 temporal, airplane assignment: Commando Airlines
  temporal constraint network subsumption
  other constraint propogation problems

7 other constraint propogation problems, cont.

8 planning
  rule-based, deterministic expert systems

9 intro machine learning
  neural nets

10 sigmoid
   backprop
   temporal DUE

11 backprop
   "Learn This" induction rap

12 NN: encodings/understanding it
   The maze: quest for cheese

13 uncertainty and belief networks

14 Summary of temporal homework projects (by Jeff)
   more belief networks
   NN due

15 belief net inference and applications
   compare belief, temporal and neural nets
   assign selection of research papers
   midterm review

March 11:   ** MIDTERM EXAM **

16 how to write/read research
   how to break down final project into subtasks
   project proposal due
   midterm solutions

17 more info on final project and paper presentation assignments
   more applications of belief nets

18 Summary of what everyone did for their NN project
   finish midterm solutions, regarding general poly-tree BN inference

19 more midterm solutions
   First half of Jeff's JAM presentation

20-26 Second half of Jeff's JAM presentation
      Student presentations (See schedule off course web page for
      listing of what papers were presented by whom.)

27 applications and dimensions thereof
   when is probabilistic reasoning "AI"?
   AI in games
   words on final project writeup and presentation
   Summary
   hand out take-home final exam


FINAL EXAM TIMES:

  COMS  W4721  001  ADVANCED INTELLIGENT SYST  Siegel
  May 13  THURS  MUD   545         110  PM    400  PM

email: evs at cs dot columbia dot edu