Week 1 - January 7th

What are Intelligent Systems

Additional Notes

1. -Introduction to Intelligent Systems (Havens)
   

Overview of Python and Prolog

- Some python code for intelligent agents

Week 2 - January 14th

Constraint Satisfaction Problems

1. -Introduction to Constraint Satisfaction (Havens)
   

2. -Some other notes on arc consistency from UBC.
   

3. -Dog, Cat, Mouse example from Class
   

4. -A constraint satisfaction problem solver, written in Python, that needs extra utilities if you happen to install it.
   

Week 3 - January 21st

Constraint Programming

1. -python-constraint
   

Knowledge

1. -Introduction to Knowledge Representation
   

2. -Individuals and Relations
   

Week 4 - January 28th

Knowledge

1. -Ontologies and Knowledge Based Systems (representation and reasoning systems)
   

2. -a link to some knowledge projects

Week 5 - Feb 4th

Week 7 - March 4 th

Week 6 - Feb 11th

Acquiring Knowledge, Applying it and Evaluating Performance

1. -Project Halo and the SRI, Austin, Boeing group, followed by AURA
   

2. -Semantic Inferencing n Large Knowledge with an overview
   

3. -Protege for Ontology Editing and Knowledge Acquisition (Presentation on Ontology Engineering). If the presentation link above does not work, you can use this one.

Midterm Exam (80 minutes) 2:30 to 3:50

Wolfram Alpha: Computational Knowledge Engine 4:00 to 5:20

1. -http://www.wolframalpha.com
   

2. -http://www.slideshare.net/starrjulie/introduction-to-wolfram-alpha
   

3. -what others are saying about it
   

4. -    http://medicalexecutivepost.com/2010/02/15/about-the-wolfram-alpha-computational-knowledge-engine/
   

5. -    http://blog.cyc.com/2009/03/wolfram-alpha.html
   

Week 8 - March 11 th

Semantic Web

1. -“Semantic Web - the Key Concerns of AI and the W3C Communities (PPT slides)“
   

2. -The Semantic Web (PPT slides)
   

3. -The OWL 2 reference card

Week 9 - March 18 th

Discussion of Midterm Exam

Applications of the Semantic Web

Natural Language Processing and the Semantic Web (related lecture)

Week 10 - March 25 th

Natural Language Processing

1. -Introduction
   

2. -Automatic Natural Language Understanding
   

NLP Applications

1. -interfaces to databases and the semantic web (Kaufmann and Bernstein 2007, Tablan et al. 2009)
   

2. -machine translation

Week 11 - April 1st

Smart Grid

1. -So what’s the problem? (video clip from Britain)
   

2. -Introductory Article from IEEE Power and Energy Magazine Volume 8 number 2 March/April 2010 entitled “Getting Smart”
   

3. -Notes from Stephen Makonin

Week 13 - April 15th

Smart Houses and the Smart Grid

1. -guest: Kelly Graves, LoaNetworks (http://www.loanetworks.com)
   

2. -discussion of Assignment 3

Week 12 - April 8th

Planning and Search

1. -Planning in Multiagent Systems (Tutorial)
   

2. -Search (from Poole and Mackworth)