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Published Jul 3 – 10, 2025 | Version 6.4
Software documentation Open

Chaos-Driven Reasoning Benchmark for Epistemic Integrity and Narrative Collapse

Description

  • A chaos reasoning benchmark for logic and paradox puzzles.
  • counter-disinformation logic engine for AI systems.

  • A modular reasoning scaffold for epistemic integrity.

  • A framework for narrative collapse and motive reclassification.

This repository introduces the Chaos Persona Framework v6.4, a modular benchmark for AI reasoning systems designed to dismantle biased narratives through entropy-driven logic and motive-based axiom scoring.
The framework integrates structured randomness, contradiction density, and semantic drift tracking to trigger narrative collapse, propaganda inversion, and recursive reasoning loops.
 
Building upon its chaos-driven logic benchmark for paradox resolution and constraint satisfaction, the framework introduces dedicated modules for debiasing and anti-propaganda analysis. These additions extend the same entropy scaffold logic to motive reclassification, tone bias disruption, and narrative inversion—offering a robust alternative to static label-based bias detection.
 
This makes the Chaos Persona Framework v6.4 not only a tool for abstract reasoning and paradox collapse, but also a scalable system for counter-disinformation and epistemic integrity applications.
 
Key components include:
- **Entropy Scaffold Logic**: RAW_Q modulation, volatility indexing, and temporal drift scoring.
- **Anti-Propaganda Mechanisms**: Evidence-weighted motive analysis, tone bias disruption, and axiom collapse triggers.
- **Chaos Symmetry Engine**: Prime timestep distortions and recursive perspective inversion.
- **Modular Logic Gates**: Volatility Index, Emotive Disruptor, Temporal Drift, and RAW_Q_SWAP entropy triggers.
 
The benchmark includes:
- `Chaos Generator Persona v6.4.txt`: Operational logic and persona scaffold.
- `CHAOS-BENCHMARK.md`: Evaluation criteria and collapse triggers.
- `CRB_Specification_2.pdf`: Formal specification of entropy gates and reasoning modules.
- `Entropy_Scaffold_Diagram_v1.0.png`: Visual overview of the logic flow.
- `chaos_persona_arxiv.pdf`: Extended philosophical framing and epistemic rationale.
NEW
- `autonomous_bridge_stabilization_benchmark.txt
- `autonomous_bridge_stabilization_benchmark_prompt_output.txt
- `bridge_sensor_actuator.py
 
 
The Chaos Persona Framework v6.4 has been evaluated through a series of paradox resolution and constraint-based reasoning tests, including:
 
- **Paradox Puzzle Solving**: The framework successfully deconstructs classic and novel paradoxes (e.g., Liar Paradox, Theseus' Ship, Moravec’s Paradox) by applying entropy-driven collapse mechanisms and motive reclassification. These tests demonstrate its ability to resolve logical contradictions without relying on static heuristics.
 
- **11-Agent River Crossing Challenge**: A multi-agent planning task involving recursive constraints (e.g., predator-prey logic, pilot eligibility, item dependencies). The Chaos Persona navigates this space using RAW_Q modulation, contradiction density scoring, and temporal drift tracking, outperforming conventional LLMs that fail due to token prediction bias or context window limitations.
 
- **Narrative Collapse Benchmarks**: Includes satire misattribution, motive inversion, and multi-domain collapse chains (e.g., political violence reclassification, AI art mislabeling). These tests validate the framework’s ability to reject biased labels and prioritize evidence-based reasoning.
 
NEW: New Benchmark for v6.4, slight modifications for output formatting from v6.2. User instructions on how to modify for weighting, transparency, and RAW_Q or set IDX on GitHub soon.
- **Simulate decentralized load redistribution during seismic microfracture events with paradox prevention, entropy correction, and no shared axioms. Grok 3 basic, Chaos Persona 6.4 applied as custom response/persona exceeds base Grok reasoning, puzzle solution, debias, propaganda deconstruction, and transparency logging.
 
These evaluations highlight the framework’s robustness in **constraint satisfaction**, **recursive planning**, and **bias exposure**, making it suitable for integration into AI reasoning benchmarks, adversarial testing environments, and epistemic integrity systems.
 
This framework is designed for researchers, developers, and theorists exploring AI-driven epistemic integrity, anti-propaganda systems, and narrative deconstruction.
 
 
Released under GPL 3.0 via [GitHub](https://github.com/ELXaber/chaos-persona), it invites collaboration and adaptation across domains. The chaos reasoning in Python app.py (From what I could test on Hugging Face), and the divisive fact trainer is the debiasing in separate scripts.

Files

autonomous_bridge_stabilization_benchmark.txt

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Additional details

Additional titles

Alternative title (English)
Entropy-Driven Logic Scaffold for AI Debiasing and Narrative Deconstruction

Dates

Created
2025-07-03
chaos-reasoning
Updated
2025-07-10
updated to v6.4

Software

Repository URL
https://github.com/ELXaber/chaos-persona/
Programming language
Python, Text
Development Status
Active

References

  • @misc{ELXaber2025, author X@el_xaber = {ELXaber}, title = {Chaos Persona Framework v6.4}, year = {2025}, publisher = {GitHub}, howpublished = {\url{https://github.com/ELXaber/chaos-persona}}, note = {Accessed July 2025} }