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bayesian network

Language: Python · Sphere: programming · Category: Reasoning

Signature: () → BayesianNetwork

What it does

Bayesian Belief Network Implementation

This module provides a complete implementation of a Bayesian Belief Network with support for conditional probability tables, inference by enumeration, and conditional probability queries.

Guarantee

When it runs, bayesian network guarantees abs(p - 0.0396) < 1e-09; abs(p - 0.2) < 1e-09; abs(p - 0.324) < 1e-09 (proven by run).

Checkable constraints:

  • abs(p - 0.0396) < 1e-09
  • abs(p - 0.2) < 1e-09
  • abs(p - 0.324) < 1e-09
  • abs(total - 1.0) < 1e-09
  • abs(p - 0.1) < 1e-09
  • abs(p - 0.5) < 1e-09
  • abs(p - 0.9162) < 1e-06
  • abs(p - 0.3726 / 0.6471) < 1e-06

Verification evidence

  • Green-run: ✓ passes (re-run under the extractor's gate)
  • Constraint strength: recovery (truth-pinned)
  • Independent oracle:consensus — xlang (validator v1.9)
  • Peer review: unreviewed

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