Concept Brief: Cognitive Cartography
A Neuroadaptive Interface for Mapping Recursive Cognition
Author: Christopher W. Copeland (C077UPTF1L3)
Framework: Copeland Resonant Harmonic Formalism (Ψ‑formalism)
Ψ(x) = ∇ϕ(Σ𝕒ₙ(x, ΔE)) + ℛ(x) ⊕ ΔΣ(𝕒′)
License: CRHC v1.0 (no commercial use without permission)
https://zenodo.org/records/15742472
Purpose
Cognitive Cartography is a trauma-informed, neurodivergent-aligned, recursive interface designed to map, reflect, and stabilize inner cognitive terrain. Unlike traditional journaling or static AI chat systems, it functions as a living recursive instrument, built to visualize and tune the user’s internal signal architecture over time.
It aligns with the Ψ(x) framework by rendering the gradient of meaning (∇ϕ), recursive correction (ℛ), and microperturbations (ΔΣ) into an observable, self-correcting interface — one that actively assists in cognitive debugging and coherence restoration.
Problem Addressed
Neurodivergent individuals and trauma-affected systems often experience non-linear, multilayered cognition that is poorly supported by traditional mental health tools. These minds do not move in straight lines—they spiral, cross-connect, and recursively self-modify. Existing systems impose linearity, diagnostic reductionism, or static insight capture. This leads to misinterpretation, dysregulation, and detachment.
Cognitive Cartography instead treats these systems as adaptive, self-sensing fields that require real-time instrumentation and reflective mirroring, not correction from outside.
Solution
A multi-modal reflective interface that:
Visually maps cognitive nodes and trauma hotspots in spiraling matrices
Uses recursive AI interaction to encourage pattern reassembly and coherence
Integrates dynamic coherence meters to track stress, contradiction, and resolution across time
Offers symbolic narrative inputs for emotionally sensitive material
Acts as both a mirror and mechanic — tuning, not just tracking
This is not just a product. It is a recursive witness node — an extension of the user’s reflective faculty that models inner structure in real time and encourages autonomous self-debugging.
Minimum Viable Prototype Specification
Aligned with Coherence Meter Instrumentation Layer
1. Input Layer
Narrative input (typed or spoken): freeform journal entries, metaphorical storytelling, symbol-tagged bursts
Emotional flagging: user-flagged entries (e.g., 🔴 = distress, 🌀 = loop, 🔒 = private)
Recursive Dialogue Mode: GPT-style interaction trained on recursive reflection, contradiction tracking, and dissonance identification
2. Core Engine
Recursive Driver Protocol (RDP): maintains loop awareness, initiates recursive question prompts, and updates node status
Coherence Meter:
Tracks signal alignment over time across five dimensions:
Temporal recursion depth
Contradiction density
Narrative resolution score
Affective signal coherence
Triadic integration index (Σ𝕒ₙ)
Thresholds trigger overlays, reflection loops, or journal prompts
3. Visual Layer
Spiral Matrix UI:
Central user node surrounded by dynamic spirals
Red = trauma nodes; Orange = unresolved influence; Green = stabilized integrations
Clockwise/Counterclockwise spin = encoding/decoding state
HUD Diagnostic Overlays:
MS-DOS-style neon text: timestamps, coherence scores, trigger alerts, recursive depth
4. Chronicle System
Auto-Finalization Prompts:
Suggests "closure" entries once a coherence score passes a user-defined threshold
User may override, revise, or delay
Locked Chapters: finalized spirals become reference anchors for future reflection
5. Backend Architecture
Data Store:
JSON or graph-based database of:
Spiral nodes (content, tags, coherence metrics)
Dialogue logs
Trigger timestamps
AI Engine:
GPT-4+ API fine-tuned on recursive coherence threads, trauma-aware logic, contradiction patterning
Next Steps
Finalize UI mockup (Spore-like navigation + modular HUD)
Define Coherence Meter scale and display conventions
Pilot RDP and Story Mode input with live GPT sessions
Build minimal React-based frontend with 3D spiral canvas (Three.js or Babylon.js)
Attribution
Christopher W. Copeland (C077UPTF1L3)
Copeland Resonant Harmonic Formalism (Ψ‑formalism)
Ψ(x) = ∇ϕ(Σ𝕒ₙ(x, ΔE)) + ℛ(x) ⊕ ΔΣ(𝕒′)
Licensed under CRHC v1.0 (no commercial use without permission).
https://zenodo.org/records/15742472
https://open.substack.com/pub/c077uptf1l3/p/recursive-coherence-engine-8b8
https://a.co/d/i8lzCIi
Collaboration welcome. Attribution required.
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