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Tribhuvan university CSIT 2074 Syllabus Artificial Intelligence Old Questions 2076

Artificial Intelligence - Old Questions

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10.  How facts in uncertain knowledge are represented? Configure a Bayesian network for following:

        The probability of having rain is 60%. The chances of getting cold if it will rain is 80%. The probability of not having sunshine is 90%. The probability that it will be hot if it is sunshine is 0.67.

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Asked in 2076

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Facts in uncertain knowledge are represented using Bayesian network. Bayesian networks are a type of probabilistic graphical model that uses Bayesian inference for probability computations.

  • Bayesian Network is a probabilistic graphical model that represents a set of random variables and their conditional dependencies via a directed acyclic graph.
  • Nodes in the graph represent the random variables and the directed edges between nodes represent conditional dependencies.
  • The edge exists between nodes if there exists conditional probability i.e. a link from X to Y means Y is dependent of X.
  • Each nodes are labelled with probability.

Bayesian network for given statement:

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