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Amit Pandey
Amit Pandey
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Learning Dictionary Def n : Knowledge Acquired by Study.
According to Simons: ,[object Object],[object Object]
Learning Strategies: ,[object Object],[object Object],[object Object]
Learning Methods: ,[object Object],[object Object],[object Object],[object Object],[object Object]
Rote Learning( Memorization) ,[object Object],[object Object],[object Object],[object Object],[object Object]
DIRECT INSTRUCTION (By being told) ,[object Object],[object Object],[object Object],[object Object]
ANALOGY ,[object Object],[object Object],[object Object]
INDUCTION: ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],DEDUCTION :
ROTE LEARNING: ,[object Object],[object Object]
Game Tree : A D B E L O M P C H F I N W G J K Q S R T A U V Stored score A=10 A=10
INDUCTION LEARNING: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Explanation BASED LEARNING ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
STEPS OF EBL PROGRAM--- Using Domain Theory (PRUNING ) Training Example Goal Concept Explanation Generalization
EXAMPLE : Training Example Owner(Object,Aakash) & Color(Object,Brown)& Is(Object,Light) & Has(Object,Coffee) & HasPart(Object,Concavity) & ...... PRUNING Domain Knowledge Is(X,Light)& HasPart(X,Y) & Is(Y,Handle) -> Liftable (X) HasPart(X,Y) & Is a(Y,Bottom) & Is(Y,Flat) -> Stable (X) HasPart(X,Y) & Is a(Y,Concavity) & Is(Y,UpwordPointing)->OpenVessel (X) Goal Concept [ CUP ] X is a Cup iff X is Stable , Liftable, OpenVessel Operationality Criterion Liftable --- Light Stable ---- Flat Open Vessel --- Concavity [ CUP ]
THANK YOU ANY QUESTIONS ?????...... PRESENTED BY: Amit Kumar Pandey SUBMITTED TO: Mr. NEERAJ KHARYA ( Lecturer MCA Dept )

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Learning

  • 1. Learning Dictionary Def n : Knowledge Acquired by Study.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11. Game Tree : A D B E L O M P C H F I N W G J K Q S R T A U V Stored score A=10 A=10
  • 12.
  • 13.
  • 14. STEPS OF EBL PROGRAM--- Using Domain Theory (PRUNING ) Training Example Goal Concept Explanation Generalization
  • 15. EXAMPLE : Training Example Owner(Object,Aakash) & Color(Object,Brown)& Is(Object,Light) & Has(Object,Coffee) & HasPart(Object,Concavity) & ...... PRUNING Domain Knowledge Is(X,Light)& HasPart(X,Y) & Is(Y,Handle) -> Liftable (X) HasPart(X,Y) & Is a(Y,Bottom) & Is(Y,Flat) -> Stable (X) HasPart(X,Y) & Is a(Y,Concavity) & Is(Y,UpwordPointing)->OpenVessel (X) Goal Concept [ CUP ] X is a Cup iff X is Stable , Liftable, OpenVessel Operationality Criterion Liftable --- Light Stable ---- Flat Open Vessel --- Concavity [ CUP ]
  • 16. THANK YOU ANY QUESTIONS ?????...... PRESENTED BY: Amit Kumar Pandey SUBMITTED TO: Mr. NEERAJ KHARYA ( Lecturer MCA Dept )