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Techniques in Artificial Intelligence (SMA 5504) >> Content Detail



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Calendar



6.825 Syllabus, Fall 2002






DAY #TOPICSREADINGSLECTURE MATERIALSEXERCISESASSIGNMENTS
1IntroductionAIMA 1, 2Lec 1 (PDF)

2Search: A*, Stochastic MethodsAIMA 3, 4Lec 2 (PDF)

3Propositional Logic: Syntax, SemanticsAIMA 6Lec 3 (PDF)Exercises, Lec 3-5 (PDF)

4Propositional SatisfiabilityFinding Hard Instances of the Satisfiability Problem: A Survey Lec 4 (PDF - 1.2 MB)

HW-1a Out
5First-Order Logic: IntroAIMA 7.1 - 7.3Lec 5 (PDF)Solutions, Lec 3-5 (PDF)

6FOL: Knowledge Representation

7FOL: ResolutionAIMA 9.6-9.7Lec 7 (PDF)Exercises, Lec 7-8 (PDF)

8FOL: More ResolutionNilsson ChapterLec 8 (PDF)Solutions, Lec 7-8 (PDF)HW-1b Out
HW-1a Due
9Equality; Other LogicsAIMA 8.6Lec 9 (PDF)Resolution & Paramodulation Exercises (PDF)

Solutions (PDF)

10Planning: Situation Calculus and POPAIMA 7.4 - 7.10, 11
Programs with Common Sense
Lec 10 (PDF)

11Planning: More POP

Lec 11 (PDF)Exercise Solutions (PDF)

12

HW-1b Due
HW-1c Out
13Planning: GraphPlan and SATPlanRecent Advances in AI Planning, Weld, 1-2.2, 3.1; AIMA 13Lec 12 (PDF)

14Planning
Review Session

Lec 13 (PDF)

15ProbabilityAIMA 14Lec 14 (PDF)Exercise Solutions (PDF)HW-1c Due
16Quiz

Midterm Solutions (PDF) Practice Midterm (PDF)

Practice Solutions (PDF)

17Bayesian NetworksAIMA 15.1-15.3Lec 15 (PDF)

18Bayesian Networks: General InferenceAIMA Second Edition 14Lec 16 (PDF)Exercise Solutions (15-16) (PDF)

19Learning: Bayes Nets: ObservableNilsson ChapterLec 17 (PDF)Exercise Solutions 17 (PDF) HW 2a Out
20Learning: Bayes Nets: Hidden

Lec 18 (PDF)Exercise Solutions 18 (PDF)

21Decision TheoryAIMA 16Lec 19 (PDF)Exercise Solutions 19 (PDF)

22Markov Decision ProcessesAIMA 17Lec 20 (PDF)

23Probabilistic Planning Optional: Probabilistic Planning in the Graphplan Framework

24Reinforcement LearningAIMA 20Lec 22 (PDF)

HW-2a Due
HW-2b Out
25Supervised LearningAIMA 18.1-18.4, 19.1-19.5

HW-3 Out (PDF) (Not Graded)
26PhilosophyAIMA 26

27Review

 







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