lecture notes
- chap 1 - intro
- chap 2 - agents
- lisp overview
- searching
- sep 20 : back-and-forth-agent, pegs puzzle, discuss search methods
- sep 24 : , discuss mini-projects, 4.14, chap 5 constraint satisfaction, chap 6 min/max search and alpha-beta pruning
- oct 1 : presentations of mini-projects
- genetic code 2
- oct 8 : propositional logic homework
- oct 11 : first order logic
- oct 15 : FOL homework
- oct 18 : chap 9,10 - resolution in FOL, knowledge representation
- semantic web
- open cyc
- oct 29 : homework; upcoming schedule; probability
- nov 1 : finish homework; continue looking at Bayes methods
- nov 5 : midterm projects; spam filters
- nov 8 : discuss next assignment; start learning and neural nets
- nov 12 : homework; Jim's spam clasification; neural nets
- nov 15 : finish neural nets
- nov 19 : homework; start talking about sequence models: markov, CFG, and all that
- nov 26 : hidden markov models
- nov 29 : more markov; start parsing
- dec 3 : homework; grammar parsing
- dec 6 : open discussion of future / philosophy
- dec 10 : final project presentations