Belief and Decision Networks
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Bayesian Belief and Decision Networks help you solve Bayesian Nets. It has a robust variable elimination algorithm, and allows users to create their own networks and customize the domains and probabilities. View and solve Bayesian Nets fast and easy.
Bayesian Networks, also called Belief or Causal Networks, are a part of probability theory and are important for reasoning in AI. They are a powerful tool for modelling decision-making under uncertainty. The purpose of this tool is to illustrate the way in which Bayes Nets work, and how probabilities are calculated within them.
The Bayesian Belief and Decision Networks applet is a tool to visually solve Bayesian Nets. It has a robust variable elimination algorithm, and allows users to create their own networks and customize the domains and probabilities. The applet has features that allow the user to inspect probabilities, make observations, and monitor nodes. It also allows the user to manually do variable elimination and to inspect the factors created.
The applet also has features to add no-forgetting arcs. There is an independence quiz mode that tests the user on his or her knowledge of the independence rules of Bayesian Nets.
Requirements:
* Java
The license of this software is Freeware, you can free download and free use this calculator software.