Question

  Consider the problem of diagnosing why someone is sneezing and perhaps has a fever.

Sneezing could be because of influenza or because of hay fever. They’re not independent, but are correlated due to the season.   Suppose hay fever depends on the season because it depends on the amount of pollen, which in turn depends on the season. The agent does not get to observe sneezing directly, but rather observed just the ‘Achoo’ sound. Suppose fever depends directly on influenza.

By carefully checking the cause-effect relationship of the following Boolean variables according to the scenario above, construct the Bayesian network in Causal model.:

• Season, Pollen, Influenza, Hay_Fever, Sneezing, Fever, Achoo_Sound

Answer 1

Bayesian network is an directed acyclic graph where nodes represent variables and links represent dependency relations .

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