SEIF: The Symbolic Emergent Intent Framework

Date: May 12, 2025
Author: Timothy B. Hauptrief
Contact: [email protected]

What Is SEIF?

SEIF is a mathematical framework that models breakdowns in meaning, trust, and coherence across minds, machines, and systems. It explains why trauma loops, hallucinations, and social collapse aren’t random—they’re symbolic.

SEIF shows us how to measure collapse and how to reverse it.

The Core Equation

H(t) = (1 + E(t) + Φ(t)) / [C(t) × R(t) × N(t) + Ω(t)] + D(t) + T(t) − [B(t) + Ω(t)]
  

• E(t): Emotional interference
• Φ(t): Recursion (looping, trauma cycles)
• C(t): Clarity (narrative logic)
• R(t): Relational coherence (trust)
• N(t): Network stability (neural, social)
• Ω(t): Anchors (rituals, grounding)
• D(t): Drift pressure (external chaos)
• T(t): Trauma memory
• B(t): Breakthrough force (insight)

Why It Matters

SEIF helps us understand:

• Why AI models hallucinate under recursion
• Why PTSD loops resist recovery
• Why social and narrative collapse feels exponential

With SEIF, symbolic collapse becomes predictable and reversible.

Validated Applications

• Forecasting PTSD relapses through entropy modeling
• Detecting hallucination pressure in large language models
• Modeling learning breakdown in students
• Mapping entropy in cosmological and institutional drift

Get Started

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Download the full paper, view the posters, or run your own symbolic drift audit.

Collapse is not chaos. It’s symbolic. And recovery is measurable.

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Contact: [email protected]