Language: Python · Sphere: programming · Category: Reasoning
Signature: () → BayesianNetwork
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.
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-09abs(p - 0.2) < 1e-09abs(p - 0.324) < 1e-09abs(total - 1.0) < 1e-09abs(p - 0.1) < 1e-09abs(p - 0.5) < 1e-09abs(p - 0.9162) < 1e-06abs(p - 0.3726 / 0.6471) < 1e-06
- 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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