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Consistency for CSPs

SLS for CSPs

Deduction

Belief Networks

Decision Trees

Neural

STRIPS to CSP

Belief and Decision Networks

version 5.1.10

Click here to start the tool using Java Web Start. If you are having problems running the tool, ensure that you have the latest version of Java installed and that it is enabled in your browser. This can be acquired from Sun's Java website.

Description:
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.

Help

QuickStart

General Help

Tutorials

Tutorial 1: Creating a New Graph Video Tutorial

Tutorial 2: Loading a Preexisting Graph

Tutorial 3: Querying a Graph (Part I) Video Tutorial

Tutorial 4: Querying a Graph (Part II)

Tutorial 5: Conditional Independence (Supplementary) Video Tutorial

Tutorial 6: Decision Networks (Supplementary)

Video Tutorial 1

Video Tutorial 2

Bugs & Enhancements

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This tool was written by Kyle Porter, David Poole, Jacek Kisyński, Shinjiro Sueda, and Byron Knoll, with help from Alan Mackworth, Holger Hoos, Peter Gorniak, and Cristina Conati.