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