Berkely CS 188 (2004) week chap ---- ---- 1 1,2 Jan 21 intro 2 3,4 28 search 3 5 Feb 4 constraints 4 6 11 adversarial 5 7 18 logic agent: wumpus 6 8,9 25 first order logic skipped knowledge rep / ontology 7 11 Mar 3 planning (skip non-deter planning) 8 13 10 uncertainty; Bayes 9 14 17 probabilistic break 10 15 31 markov; speack 11 16 Apr 7 simple decisins: utility 12 17,18 14 learning 13 20 21 statistical learning; neural nets 14 22 28 communication 15 24,25 May 7 perception/robotics 16 26 philosophy ========================================== Williams CS 373 http://www.cs.williams.edu/~andrea/cs373/full373page.html Feb chap 1-4 + lisp Mar chap 6,7 games + wumpus Apr chap 13,14,18,20 bayes, probability,learning,neural nets May more learning + chap 26 =========================================== Hampshire CS 207 1 intro 2 chap 3 search 3 chap 7-9 wumpus,logic 4 chap 19 neural nets 5 genetic algorithms 6 chap 23 natural language 7 ... other texts 8 =========================================== Swarthmore CS63 Fall 2002 (1st edition) http://www.cs.swarthmore.edu/~meeden/cs63/f02/cs63.html 1 chap 1,2 agents 2 chap 3 search state space 3 chap 4 informed search 4 genetic search 5 chap 6 games 6 exams 7 chap 7,8 logic 8 ... other textbooks 9 10 11 12 13 ====================== CS 290, Smith Spring 2007 http://maven.smith.edu/~orourke/290/Syllabus.html fairly elemenatry; few prereqs topics: search, language, neural nets, genetic and evolutionary, A-life ===================== me in 2003 : http://cs.marlboro.edu/term/spring03/AI.html