Artificial Intelligence - Old Questions
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.
6 marks
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Asked in 2076
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:
