(2nd-September-2020)
• To represent a domain in a belief network, the designer of a network must consider the following questions:
• What are the relevant variables? In particular, the designer must consider
• what the agent may observe in the domain. Each feature that can be observed should be a variable, because the agent must be able to condition on all of its observations.
• what information the agent is interested in knowing the probability of, given the observations. Each of these features should be made into a variable that can be queried.
• other hidden variables or latent variables that will not be observed or queried but that make the model simpler. These variables either account for dependencies or reduce the size of the specification of the conditional probabilities.
• What values should these variables take? This involves considering the level of detail at which the agent should reason to answer the sorts of queries that will be encountered.
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