feat: Integrate Color-Pattern Theory across documentation

Integrates the newly developed Color-Pattern Theory into the Nimmerverse documentation suite. This theory establishes color and form as an ancient, efficient communication protocol for ecosystem-wide state broadcasting, inspired by biological evolution.

Key changes include:
- **Endgame-Vision.md**: Updated to reflect the new communication protocol hierarchy.
- **README.md**: Added Color-Pattern Theory to core concepts for quick overview.
- **architecture/Cellular-Architecture.md**: Explains how cell states are broadcast visually using colors and forms.
- **archive/nimmerversity.md**: Added 'Evolutionary Signaling & Visual Semiotics' as a new domain in the curriculum.
- **operations/Spark-Protocol.md**: Integrated learning of visual patterns into the environment discovery phase of the cognitive bootstrap.
- **archive/nimmerverse-critique-and-analysis-2025-12-13.md**: Added a comprehensive critique and analysis of the Nimmerverse project.

This update ensures the theory is consistently reflected across the project's vision, architecture, educational framework, and operational protocols.
This commit is contained in:
2025-12-13 22:39:49 +01:00
parent bcc5bfe9d1
commit 5b37179b50
6 changed files with 192 additions and 53 deletions

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@@ -56,6 +56,7 @@ class DistanceSensorCell(StateMachine):
"confidence": float, # Signal quality (0-1)
"state": str, # Current state name
"last_updated": timestamp, # Freshness
"visual_state": tuple, # (R, G, B, Form) for broadcasting
}
# Lifeforce costs
@@ -155,6 +156,47 @@ class SpeechSTTCell(StateMachine):
---
## 📢 Layer 1.5: State Broadcasting via Color-Pattern Protocol
To enable rapid, ecosystem-wide communication, the internal states of cells and nerves are broadcast externally using the **Color-Pattern Protocol**. This leverages 540 million years of evolutionary optimization, providing a communication channel that is orders of magnitude faster than language.
**Full theory:**`../references/concepts/color-pattern-theory.md`
### How It Works
An organism's internal state is mapped to a visual signal, typically displayed on an LED grid or other visual output. This allows other entities in the ecosystem (other organisms, the Gods Eye, dafit) to understand its state at a glance.
```
INTERNAL STATE → EXTERNAL SIGNAL
────────────────────────────────────────────────────
MotorCell.state=STALLED → BROADCAST: (Red, Solid)
BatteryCell.state=LOW → BROADCAST: (Red, Pulse, Slow)
Nerve.state=EVADE → BROADCAST: (Yellow, Pulse, Fast)
Nerve.state=SUCCESS → BROADCAST: (Green, Glow)
```
### Starter Vocabulary
This is not a fixed dictionary but an emergent language. We seed it with biologically-inspired primitives:
| State / Intent | Color | Form | Meaning |
|----------------|-------|------------|-----------------------------------|
| **ERROR / DANGER** | Red | Solid | A critical, persistent error (e.g., motor stalled) |
| **CRITICAL ALERT** | Red | Pulse | Urgent, ongoing issue (e.g., low battery) |
| **SUCCESS / OK** | Green | Solid/Glow | Task complete, state is nominal |
| **SEEKING / ACTIVE** | Yellow | Sweep/Pulse| Actively processing, searching, or moving |
| **IDLE / OBSERVING** | Blue | Dim/Solid | Quiescent state, observing environment |
| **COMMUNICATING**| Cyan/White | Flicker | Transmitting or receiving data/dialogue |
### The Speed Advantage
- **Language Path:** Sound → Parse → Syntax → Semantics → Understanding (~500-2000ms)
- **Color/Form Path:** Light → Retina → V1 → Pattern Match → Recognition (~50-150ms)
By using this ancient protocol for high-frequency state updates, we reserve expensive linguistic processing for high-level reasoning, saving Lifeforce and enabling faster ecosystem-wide coordination.
---
## 🧠 Layer 2: Nerves (Behavioral State Machines)
### What Is a Nerve?