What's New?

Learn about the latest innovations in BayesiaLab 11

BayesiaLab 11

Version 11 of BayesiaLab is the latest iteration of our flagship product that has been under continuous development for nearly 25 years. No other organization has invested as many resources in developing technologies around the Bayesian network paradigm.
Release 11 once again features many innovations, including the native integration of a ChatGPT-based subject matter assistant. Here is a selection of the most important new features:


Hellixia is the name of BayesiaLab's subject matter assistant powered by ChatGPT (OpenaAI and Microsoft Azure). Hellixia offers a wide range of functions to help you characterize a given problem domain:
  • Identify relevant dimensions of a problem domain
  • Generate embeddings for learning a semantic network
  • Generate meaningful descriptions for classes of nodes
  • Provide tools for causal analysis
  • Translate names and comments of nodes into different languages
  • Generate images to be associated with nodes

Independence of Causal Influence

The Independence of Causal Influence (ICI) tool now includes three new combination functions, SumPos() and SumNeg(), asymmetrical variations of the Sum function for positive and negative local mechanical effects, and MinMax() that implements a min function for negative values and a max function for positive ones.
The Independence of Causal Influence (ICI) tool has been enhanced with several updates:

New Combination Functions

  • SumPos(): An asymmetrical variation of the Sum function focusing on positive local mechanical effects.
  • SumNeg(): A counterpart that emphasizes negative local mechanical effects.
  • MinMax(): A function that implements the min method for negative values and the max method for positive ones.

ICI Wizard Enhancement

  • A "Condensed Display" option has been introduced. This feature creates a network where the local effects are snapped to their parent and the combination nodes to their respective children.
  • For the purpose of qualitative knowledge elicitation, i.e., the qualitative part of the Delphi Method, BayesiaLab can generate notes on the Graph Panel from comments submitted by experts.
  • Hellinger Distance: Measures the distance between experts' votes and a reference expert (usually the consensus).
  • 2D/3D Mapping incorporates new metrics derived from experts' assessments.


  • The Formulas tab in the Node Editor now supports local variables.
  • Additionally, two new functions are available under Special Functions:
    • TriangularMD(), i.e., triangular membership degree in fuzzy logic
    • Deciban(): The deciban is a logarithmic unit — much like the decibel or the Richter scale — introduced by Alan Turing for expressing probabilities. It is a tenth of a ban, which is also known as the base-10 log odds.

Weight of Evidence

Weight of Evidence now features four new types of analyses:
  • Most/Least Relevant Explanations
  • Most/Least Confirmatory Clues

Target Evaluation Tool

The redesigned Target Evaluation function now features dedicated tabs for:
  • Classification
  • Posterior Probabilities
  • Regression
  • Triage

Dynamic Grid Layout

The new Dynamic Grid Layout is an innovative layout algorithm that is particularly suitable for generating readable graphs composed of badges with associated comments. It's particularly effective with graphs created with Hellixia.