Artificial Intelligence Questions and Answers

Chapter - 4

   1.Explain: Knowledge representation and mapping.

   2.Explain: Approaches to knowledge representation.

   3.Explain: Issues in knowledge representation.

   4.Explain: Property Inheritance Algorithm, with example.

Chapter - 6





Chapter - 7

  1.Explain: Abductivereasoning with example.

   2.Explain non-monotonicreasoning.

Chapter - 8

  1.Explain  Bay’s Theorem. 

   2.Define:Certainty Factor. How does it help deal with uncertainty? Explain w.r.t rulebased systems.

   3.Explain:Bayesian Networks, with example.

   4.Explain:Fuzzy Logic.

   5.Differentiate:Fuzzy set vs Crisp set. 
Chapter - 9

  1. Explain: Partitionedsemantic networks. 

   2. Draw semantic net for the following statements:

  (a)  Every kid likes candy.
       (b)  Every school going kid likes candy
Chapter - 10

  1.Explain Scripts andits components. 

   2.Write Conceptual Dependency for the following statements –

     (a)  John flew to New York.
     (b)  John shot Mary
     (c)  John ate eggs. 
Chapter - 11

  1.Explain GoalStack Planning. 

   2.ExplainMin-Max Search Procedure. 

   3.Explain alpha-beta pruning. 

   4.Explain alpha cutoff and beta cutoff. 

   5.‘Minimax is not good for game playing when the opponentis not playing optimally.’ Justify, using a suitableexample.
Chapter - 12

  1.Explain thesteps/components of NLP. 

   2.Explain syntax andsemantic analysis of NLP in detail. 
Chapter - 13

  1.Explain Hopfield networks. 

   2.Differentiate:Supervised vs Unsupervised Learning. 

   3.Explain: Artificial Neural Networks. 

   4.Explain:Perceptron Learning Algorithm. 

   5.Discussdifferent activation functions. 

   6.Differentiate:Connectionist vs Symbolic AI. 
  
  7.Explain: Parallel Relaxation Algorithm.
on

No comments:

Post a Comment

Subscribe to: Post Comments (Atom)