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					What Have We Learned?
Search (can’t get rid of it).
Knowledge representation:
  Propositional logic
  First-order logic (Horn rules, Description Logics)
  Entailment
  Theorem proving (resolution)
  Non-monotonic reasoning
  Reasoning with uncertainty
  Bayes networks
  Decision theory
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What Have we Learned (cont)
Machine Learning:
  Theoretical foundations
  Version space algorithm
  Decision trees
  Recent extensions: boosting, bagging.
Planning:
  Strips
  GraphPlan
  SatPlan
Natural Language processing: parsing,
 semantic interpretation.                  2
       Putting it All Together
Has AI succeeded?
Are we at least making progress?
Have we lost the dream?
Does AI even have a chance?
What are the most promising
 directions/applications of AI?
What should we do next?
What if we did succeed?

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Review Questions
The midterm…
3.7, 3.9, 3.10.
Apply 3.11 on the formulas of 3.10.
8.7
Try to apply the version space algorithm to the
 restaurant example.
10.4,10.7


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posted:7/16/2012
language:English
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