Researcher and head of the Bayesian Artificial Intelligence Research Lab for the Queen Mary University of London, Anthony Constantinou, has developed the Bayesian Network idea. His model can apparently help decipher variables that determine how we come to make a decision. .
This Greek Cypriot National Guard Veteran says that incomplete information is the very thing that causes one to reason with probabilities as well as with risks. This means people can often times come to a non-optimal decision. Anthony Constantinou has since worked with academics and industrial organizations everywhere to apply his Bayesian Network to the likings of sports, economics, medicine, finance, and gaming. His artificial intelligence for optimal decision-making is what allows people to actually enjoy working with probabilities again as well as with data and different algorithms.
Constantinou’s models simulate events that happened in the real world for prediction, risk, and decision-making processes. Anthony’s Bayesian Network diagram visual uses arrows that show different factors represented by what he calls the elliptical nodes to influence one another. Each of these influential nodes come with their very own probability table which he has named a conditional probability table or CPT . These are able to reflect chances of varying outcomes. See Related Link to learn more.
For those with a particular interest in theory of casualty and who desire to improve algorithms Anthony has additionally put in place another of his ideas called “Bayesian Machine Learning for Casual Discovery”. This other project of his is more focused on the problem of Bayesian Network structure learning with vital missing data.