B652: Computer Models of Symbolic Learning
Spring 2011
Class Home Page
Contents
Cognitive Science colloquium Monday, 1/24, PY101: Hod Lipson, Self-Reflective Machines.
Welcome to the class!
- Professor: David Leake (E-mail: leake@cs.indiana.edu).
- Prerequisites:
A graduate-level AI course (B551) or permission of the instructor.
- Meeting times and place: MW, 2:30-3:45, LH115
- Recommended textbook: Tom Mitchell's
Machine Learning,
McGraw Hill, 1997. A copy is on 2-hour
reserve at Swain Library (call number Q325 .M58 1997).
![[Mitchell book cover]](http://www.cs.cmu.edu/~tom/mlbook.gif)
Everyone is responsible for reading the following pages.
- Office hours: 12:00-1:30 TR, Info West 203 (in the 205
suite), starting 1/24. If you're located in Lindley and would prefer
not to walk over, I'm also happy to answer questions in Lindley
immediately after class.
-
If my door is closed, please
knock.
- If you can't make these hours, please email for an appointment to meet
at another time.
- Electronic communication/submissions will the done through Oncourse.
- Semester projects
- Presentations of research papers
- Homework assignments
- Guidelines
for AI programming assignments
- Reading assignments
When sources are unspecified, the readings are from our text
Machine Learning.
- For Feb 7: Mitchell 8.1-8.4, 11.1-11.3
- For Jan 31: Mitchell Chapter 3
- For Jan 28: Finish Mitchell Chapter 2
- For Jan 26: Mitchell Chapter 2 through section 2.6
- For Jan 12: Does
Machine Learning Really Work? By Tom M. Mitchell (1997). AI
Magazine, 18(3): 11-20.
2-hour reserve.
If you're interested in going deeper into AI/Cog Sci, you should consider
joining societies such as the American
Association for Artificial Intelligence, the
Cognitive Science
Society, or the ACM's SIGART.
All offer very reasonable student membership rates; AAAI includes
AI Magazine and the CogSci Society includes Cognitive
Science.