bayes-reasoner

What problem does it solve?

Balances competing hypotheses to identify the most probable root cause under uncertainty, reducing cognitive bias during diagnostics.

Core Features & Use Cases

• Initialize hypotheses with automatic normalization and an explicit "Other" option to account for unlisted causes.
• Define tests with likelihoods, update beliefs based on evidence, and obtain information-gain-driven recommendations.
• View and manage the current state, split complex hypotheses into subcategories, and inject new hypotheses as evidence warrants.

Quick Start

Initialize with a set of hypotheses and then define tests and run a recommendation for the most informative next step.