Abstract: Reports the results of an assignment to investigate uncertain/stochastic reasoning using “Bayesian Networks” written in 2007 whilst studying Computer Science at the University of Southampton, UK. Models a problem using a bayesian network in MatLab, generates 100,000 sample events, and calculates the probabilities of various combinations of events. Finally uses this information to compare likelihood ratios. (Latter sections may well be incorrect…)
Tags: AI, bayes theorem, bayesian networks, expert systems, likelihood ratio, probabilistic methods, stochastic reasoning, uncertain reasoning