Bayesian Nets. To explain Bayesian networks, and to provide a contrast between Bayesian probabilistic inference, and argument-based approaches that are likely to be attractive to classically trained philosophers, let us build upon the example of Barolo introduced above. (N_i\), we can use a Bayesian net to produce the value of any entry via. Bayesian Net Example. Consider the following Bayesian network: Thus, the independence expressed in this Bayesian net are that. A and B are (absolutely) independent. C is independent of B given A. D is independent of C given A and B. E is independent of A, B, and D given C. • A Bayes’ Net is a directed, acyclic graph over a set of random variables. • For each variable X, parents(X) are the variables which point to X in the graph. • For each variable X, we have a conditional probability table (CPT) which specifies P(X|parents(X)). 5 9 First Bayes’ Net H .

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• A Bayes’ Net is a directed, acyclic graph over a set of random variables. • For each variable X, parents(X) are the variables which point to X in the graph. • For each variable X, we have a conditional probability table (CPT) which specifies P(X|parents(X)). 5 9 First Bayes’ Net H .: Bayesian net

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Bayesian Nets. To explain Bayesian networks, and to provide a contrast between Bayesian probabilistic inference, and argument-based approaches that are likely to be attractive to classically trained philosophers, let us build upon the example of Barolo introduced above. (N_i\), we can use a Bayesian net to produce the value of any entry via.: Bayesian net

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