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CS B652 Computer Models of Symbolic Learning

Resources

Slides from Class

Slides are only accessible from IU IP addresses or from off campus by using a VPN connection.  The list below is in reverse chronological order of class presentation (most recently presented at the top):

·        Wrap-up and Next Steps

·        Knowledge Capture

·        Evaluating AI Systems

·        Goal-Driven Learning

·        Explanation-based Learning

·        Leaning in CBR

·        Decision Trees

·        Version Spaces

·        Notes on Knowledge and Machine Learning

·        Introduction

 

Papers/Web Sites of Interest (links to assigned papers will be posted on the assignments page)

How Evaluation Guides AI Research:  The Message Still Counts more than the Medium, by Paul Cohen and Adele Howe, AI Magazine, 1988.

What’s in a Link, by William Woods, BBN Technical Report, 1975.

Python 

For a refresher, the Google quick python course is highly recommended.  It has links to many useful resources.   You may also wish to consult the Codeacadamy python course.

Scheme Examples

CBR Microprograms (McChef, McSWALE)

 

Reserves at Swain Library

On 2-hour reserve:

·  Tom Mitchell's Machine Learning, McGraw Hill, 1997. Q325 .M58 1997
[Mitchell book cover]

·     Russell, S. and Norvig, P. Artificial Intelligence: A Modern Approach, Third edition, Prentice Hall, 2009. Q335 .R86 2009.

     

AAAI and AI Topics

If you're interested in going deeper into AI/Cog Sci, you should consider joining societies such as the Association for the Advancement of Artificial Intelligence. AAAI membership includes AI Magazine.  AAAI’s AI Topics site his information on many AI areas.