Charles River Analytics today released version 1.3 of their Bayesian belief network modeling tool, BNet.Builder™. BNet.Builder is a desktop application for rapidly creating Belief Networks, entering information, and getting results. BNet.Builder allows users to create models quickly and easily.

Zach Cox, software engineer and chief developer of BNet.Builder notes, “There are a number of useful new features with BNet.Builder 1.3, including support for disconnected Bayesian networks, a faster inference engine (based on source code generation), and the ability to switch between the available inference engines. Also, you can expand/collapse beliefs or evidence on all selected nodes; zoom in/out on monitor nodes; export network, CPT, Belief & Evidence Summary, or Mutual Information to a .png file; and randomize all CPTs.”

BNet.Builder is part of Charles River Analytics’ family of Bayesian Network products, including BNet.EngineKit.