Bayesian Networks and Petri Nets

Abstract A class of high level Petri nets, called ”probability propagation nets”, is introduced which is particularly useful for modeling probability and evidence propagation. These nets themselves are well suited to represent the probabilistic Horn abduction, whereas a specific folding of them will be used for representing the flows of probabilities and likelihoods in Bayesian networks.

II

Proceeding