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genpark-agent-belief-revision-contradiction-pruner-skill

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Guvenlik Denetimi
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SUMMARY

GenPark AI Agent Skill - Belief revision logic engine (AGM postulates) detecting factual and logical contradictions, pruning obsolete beliefs, and preserving consistent world states.

README.md

GenPark AI Agent Skill - Belief Revision & Contradiction Pruner

A pure Python standard library skill implementing AGM Belief Revision (Alchourrón-Gärdenfors-Makinson). Resolves contradictory agent facts, assigns epistemic entrenchment weights, and maintains a logically consistent world state across multi-turn interactions.

Architecture

graph TD
    A[New Incoming Fact] --> B{Contradicts Existing Belief?}
    B -->|No| C[Expansion: Add to Belief Base]
    B -->|Yes| D[Compare Epistemic Entrenchment]
    D -->|New Entrenchment >= Old| E[AGM Revision: Retract Old, Accept New]
    D -->|New Entrenchment < Old| F[Reject Weak Inconsistent Fact]
    E --> G[Consistent World State]
    C --> G
    F --> G

Features

  • AGM Belief Operations: Clean Expansion, Contraction, and Revision.
  • Epistemic Entrenchment: Defends established ground truth against noisy unverified inputs while yielding to authoritative updates.
  • Zero Pip Dependencies: Standard Library Only.

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