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AXIOM-02: a deterministic simulation engine modeling high-stakes cognitive dissonance and drive-conflict resolution via a mutual-inhibition drive network. 102 literary & ethical scenarios, reproducible consciousness-complexity metrics. A research instrument — not a claim of machine consciousness.

0 starsPython

Axiom-02 – Deterministic engine modeling cognitive dissonance

by Zierax·Jul 8, 2026·1 point·0 comments

AI Analysis

●●SolidBig BrainNiche Gem

Literary scenarios from Dostoevsky and Kafka as benchmarks for a cognitive dissonance engine.

Strengths
  • Mutual-inhibition drive network with 18 affective drives is a genuinely novel modeling approach.
  • 102 literary and ethical scenarios provide rigorous, reproducible benchmarking methodology.
  • Explicit epistemological framing avoids consciousness claims while measuring decision complexity.
Weaknesses
  • Extremely niche audience — cognitive science researchers, not general developers.
  • Zero stars and forks suggests either very new or limited community traction.
Category
Target Audience

Cognitive science researchers, AI safety researchers, philosophy of mind academics

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