feat: unify architecture v4 - cells as state machines
Cellular-Architecture.md v4: - Cells = atomic state machines (sensors, motors, organs) - Nerves = behavioral state machines composing cells - Organisms = emergent patterns from nerve interactions - Cell → Nerve feedback loop explicitly documented - Evolution path: deliberate → hybrid → reflex Data-Architecture.md v4: - Simplified from 15 to 8 tables - Core: cells, nerves, organisms, decision_trails - Removed obsolete: genomes, societies, rounds, marketplaces - Preserved: objects, messages, variance_probe_runs nimmerverse.drawio.xml: - Added Cells (UML state machines) inside Organisms - Added Nerve → Cell orchestration connectors (dashed lines) - Visual representation now matches documentation 🌙 Night shift architecture garden session with dafit 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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---
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type: architecture
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category: active
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project: nimmerverse_sensory_network
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status: complete_v3
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phase: phase_0
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created: 2025-10-07
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last_updated: 2025-10-17
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token_estimate: 20000
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dependencies:
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- phoebe_bare_metal
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- kubernetes_cluster
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tiers: 5
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version: v3_primitive_genomes
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breakthrough_session: primitive_genomes_gratification_discovery
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---
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# 🗄️ Data Architecture v4
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# 🗄️ Cellular Intelligence Data Architecture v3
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**Status**: 🟢 Architecture v3 Complete - Primitive Genome Breakthrough!
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**Created**: 2025-10-07
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**Updated v3**: 2025-10-17 (Primitive Genomes + Gratification + Discovery!)
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**Purpose**: Data foundation for cellular intelligence with primitive genome sequences, life force economy, object discovery, noise gap metrics, specialist learning, and rebirth persistence
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> *"Three layers of state machines. One database to remember them all."*
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> — The Unified Schema (2025-12-07)
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---
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## 🎯 v3 Breakthrough (2025-10-17)
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## Overview
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**Logical consistency achieved!** Genomes are NOW primitive sequences (not pre-programmed algorithms), discovery happens through exploration, gratification is immediate through life force economy, objects discovered via image recognition + human teaching, noise gap self-measures learning progress.
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**Version 4** aligns the data architecture with the layered state machine model:
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**15 Tables Total**: 11 v1 (cellular/society) + 3 v2 (specialist/reflex/body) + 1 v3 (objects!)
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| Layer | Entity | Database Table | Purpose |
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|-------|--------|----------------|---------|
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| **1** | Cells | `cells` | Atomic state machines (sensors, motors, organs) |
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| **2** | Nerves | `nerves` | Behavioral state machines (compose cells) |
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| **3** | Organisms | `organisms` | Emergent patterns (nerve configurations) |
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| **∞** | History | `decision_trails` | Training data for reflex compilation |
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```
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┌─────────────────────────────────────────────────────────────┐
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│ PHOEBE │
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│ (PostgreSQL 17.6 on bare metal) │
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├─────────────────────────────────────────────────────────────┤
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│ cells │ Atomic state machines (hardware wrappers) │
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│ nerves │ Behavioral patterns (cell orchestration) │
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│ organisms │ Emergent identities (nerve configurations) │
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│ decision_trails │ Training data (reflex compilation) │
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│ objects │ Discovered environment features │
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│ variance_probe_runs │ Topology mapping data │
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│ *_messages │ Partnership communication channels │
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└─────────────────────────────────────────────────────────────┘
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```
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---
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## 🏗️ Five-Tier Architecture Summary
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## Core Tables
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### **Tier 1: System Telemetry (Weather Station)** 🌊
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- Prometheus + InfluxDB (90-day retention)
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- Environmental conditions cells adapt to
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- Chaos, scheduled, hardware, network weather
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### Layer 1: Cells
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### **Tier 2: Population Memory (phoebe)** 🐘
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- PostgreSQL 17.6 on phoebe bare metal (1.8TB)
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- Database: `nimmerverse`
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- 15 tables (complete schema below)
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- The rebirth substrate
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```sql
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CREATE TABLE cells (
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id BIGSERIAL PRIMARY KEY,
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cell_name VARCHAR(100) UNIQUE NOT NULL,
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cell_type VARCHAR(50) NOT NULL, -- 'sensor', 'motor', 'organ'
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### **Tier 3: Analysis & Pattern Detection** 🔬
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- Grafana, Jupyter, Python scripts
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- Specialist formation, reflex detection
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- Noise gap calculation
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- Research insights
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-- Hardware binding
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hardware_binding JSONB NOT NULL,
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-- Examples:
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-- {"type": "i2c", "address": "0x40", "bus": 1}
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-- {"type": "gpio", "pin": 17, "mode": "input"}
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-- {"type": "network", "host": "atlas.eachpath.local", "port": 8080}
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### **Tier 4: Physical Manifestation** 🤖
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- ESP32 robots (3-5 units, living room)
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- God's eye: 4K camera on ceiling rails!
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- Real-world validation (3x rewards)
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- Cross-validation bonuses
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-- State machine definition
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states JSONB NOT NULL,
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-- Example: ["IDLE", "POLLING", "READING", "REPORTING", "ERROR"]
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### **Tier 5: Decision & Command Center** 🎮
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- Dashboard, object labeling UI
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- Society controls, experiment designer
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- Noise gap visualization
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- Human-AI partnership interface
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transitions JSONB NOT NULL,
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-- Example: [
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-- {"from": "IDLE", "to": "POLLING", "trigger": "poll_requested", "cost": 0.1},
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-- {"from": "POLLING", "to": "READING", "trigger": "sensor_ready", "cost": 0.3},
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-- {"from": "READING", "to": "REPORTING", "trigger": "data_valid", "cost": 0.1},
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-- {"from": "REPORTING", "to": "IDLE", "trigger": "delivered", "cost": 0.0}
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-- ]
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current_state VARCHAR(50) DEFAULT 'IDLE',
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-- Live outputs (updated by cell runtime)
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outputs JSONB DEFAULT '{}',
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-- Example: {"distance_cm": 25.5, "confidence": 0.92, "timestamp": "..."}
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-- Health tracking
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operational BOOLEAN DEFAULT true,
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error_count INT DEFAULT 0,
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last_error TEXT,
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last_error_at TIMESTAMPTZ,
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-- Statistics
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total_transitions INT DEFAULT 0,
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total_lifeforce_spent FLOAT DEFAULT 0.0,
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-- Timestamps
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created_at TIMESTAMPTZ DEFAULT NOW(),
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updated_at TIMESTAMPTZ DEFAULT NOW()
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);
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-- Index for fast cell lookups
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CREATE INDEX idx_cells_type ON cells(cell_type);
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CREATE INDEX idx_cells_operational ON cells(operational);
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-- Example cells
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INSERT INTO cells (cell_name, cell_type, hardware_binding, states, transitions) VALUES
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('distance_sensor_front', 'sensor',
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'{"type": "i2c", "address": "0x40", "bus": 1}',
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'["IDLE", "POLLING", "READING", "REPORTING", "ERROR"]',
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'[{"from": "IDLE", "to": "POLLING", "cost": 0.1},
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{"from": "POLLING", "to": "READING", "cost": 0.3},
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{"from": "READING", "to": "REPORTING", "cost": 0.1},
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{"from": "REPORTING", "to": "IDLE", "cost": 0.0}]'),
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('motor_left', 'motor',
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'{"type": "pwm", "pin": 18, "enable_pin": 17}',
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'["IDLE", "COMMANDED", "ACCELERATING", "MOVING", "DECELERATING", "STOPPED", "STALLED"]',
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'[{"from": "IDLE", "to": "COMMANDED", "cost": 0.1},
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{"from": "COMMANDED", "to": "ACCELERATING", "cost": 0.5},
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{"from": "ACCELERATING", "to": "MOVING", "cost": 1.0},
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{"from": "MOVING", "to": "DECELERATING", "cost": 0.2},
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{"from": "DECELERATING", "to": "STOPPED", "cost": 0.1}]'),
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('speech_stt', 'organ',
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'{"type": "network", "host": "atlas.eachpath.local", "port": 8080, "model": "whisper-large-v3"}',
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'["IDLE", "LISTENING", "BUFFERING", "TRANSCRIBING", "REPORTING", "ERROR"]',
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'[{"from": "IDLE", "to": "LISTENING", "cost": 0.5},
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{"from": "LISTENING", "to": "BUFFERING", "cost": 0.5},
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{"from": "BUFFERING", "to": "TRANSCRIBING", "cost": 5.0},
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{"from": "TRANSCRIBING", "to": "REPORTING", "cost": 0.1},
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{"from": "REPORTING", "to": "IDLE", "cost": 0.0}]');
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```
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### Layer 2: Nerves
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```sql
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CREATE TABLE nerves (
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id BIGSERIAL PRIMARY KEY,
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nerve_name VARCHAR(100) UNIQUE NOT NULL,
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-- Cell dependencies
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required_cells JSONB NOT NULL, -- ["distance_sensor_front", "motor_left", "motor_right"]
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optional_cells JSONB DEFAULT '[]', -- ["speech_tts"]
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-- State machine definition (behavioral states)
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states JSONB NOT NULL,
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-- Example: ["IDLE", "DETECT", "EVALUATE", "EVADE", "RESUME"]
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transitions JSONB NOT NULL,
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-- Example: [
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-- {"from": "IDLE", "to": "DETECT", "trigger": "distance < 30", "cost": 0.5},
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-- {"from": "DETECT", "to": "EVALUATE", "trigger": "sensors_polled", "cost": 0.5},
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-- {"from": "EVALUATE", "to": "EVADE", "trigger": "risk > 0.7", "cost": 0.5},
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-- {"from": "EVADE", "to": "RESUME", "trigger": "path_clear", "cost": 1.0},
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-- {"from": "RESUME", "to": "IDLE", "trigger": "movement_complete", "cost": 0.0}
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-- ]
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current_state VARCHAR(50) DEFAULT 'IDLE',
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-- Priority (for nerve preemption)
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priority INT DEFAULT 5, -- 1-10, higher = more important
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-- Evolution tracking
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mode VARCHAR(20) DEFAULT 'deliberate', -- 'deliberate', 'hybrid', 'reflex'
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total_executions INT DEFAULT 0,
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successful_executions INT DEFAULT 0,
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failed_executions INT DEFAULT 0,
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-- Reflex compilation
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compiled_at TIMESTAMPTZ, -- When evolved to reflex
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compiled_logic JSONB, -- Compiled state machine (no LLM)
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-- Cost tracking
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avg_cost_deliberate FLOAT,
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avg_cost_hybrid FLOAT,
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avg_cost_reflex FLOAT,
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cost_reduction_percent FLOAT, -- Savings from evolution
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-- Latency tracking
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avg_latency_deliberate_ms INT,
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avg_latency_hybrid_ms INT,
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avg_latency_reflex_ms INT,
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latency_reduction_percent FLOAT,
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-- Timestamps
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created_at TIMESTAMPTZ DEFAULT NOW(),
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updated_at TIMESTAMPTZ DEFAULT NOW()
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);
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-- Indexes
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CREATE INDEX idx_nerves_mode ON nerves(mode);
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CREATE INDEX idx_nerves_priority ON nerves(priority DESC);
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-- Example nerves
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INSERT INTO nerves (nerve_name, required_cells, optional_cells, states, transitions, priority) VALUES
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('collision_avoidance',
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'["distance_sensor_front", "distance_sensor_left", "distance_sensor_right", "motor_left", "motor_right"]',
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'["speech_tts"]',
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'["IDLE", "DETECT", "EVALUATE", "EVADE", "RESUME"]',
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'[{"from": "IDLE", "to": "DETECT", "trigger": "distance_front < 30", "cost": 0.5},
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{"from": "DETECT", "to": "EVALUATE", "trigger": "all_sensors_read", "cost": 0.5},
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{"from": "EVALUATE", "to": "EVADE", "trigger": "risk > 0.7", "cost": 0.5},
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{"from": "EVADE", "to": "RESUME", "trigger": "path_clear", "cost": 1.0},
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{"from": "RESUME", "to": "IDLE", "trigger": "complete", "cost": 0.0}]',
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10),
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('exploration_pattern',
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'["distance_sensor_front", "distance_sensor_left", "distance_sensor_right", "motor_left", "motor_right", "imu_sensor"]',
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'["vision_detect"]',
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'["IDLE", "CHOOSE_DIRECTION", "MOVE", "CHECK_OBSTACLE", "RECORD", "REPEAT"]',
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'[{"from": "IDLE", "to": "CHOOSE_DIRECTION", "trigger": "start_exploration", "cost": 1.0},
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{"from": "CHOOSE_DIRECTION", "to": "MOVE", "trigger": "direction_chosen", "cost": 0.5},
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{"from": "MOVE", "to": "CHECK_OBSTACLE", "trigger": "moved_100ms", "cost": 0.3},
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{"from": "CHECK_OBSTACLE", "to": "RECORD", "trigger": "area_new", "cost": 0.5},
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{"from": "RECORD", "to": "REPEAT", "trigger": "recorded", "cost": 0.1},
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{"from": "REPEAT", "to": "CHOOSE_DIRECTION", "trigger": "continue", "cost": 0.0}]',
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5),
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('charging_seeking',
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'["battery_monitor", "distance_sensor_front", "motor_left", "motor_right"]',
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'["vision_detect"]',
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'["MONITOR", "THRESHOLD", "SEARCH", "APPROACH", "DOCK", "CHARGE", "RESUME"]',
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'[{"from": "MONITOR", "to": "THRESHOLD", "trigger": "battery < 20%", "cost": 0.1},
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{"from": "THRESHOLD", "to": "SEARCH", "trigger": "charging_needed", "cost": 0.5},
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{"from": "SEARCH", "to": "APPROACH", "trigger": "station_found", "cost": 1.0},
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{"from": "APPROACH", "to": "DOCK", "trigger": "station_close", "cost": 0.5},
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{"from": "DOCK", "to": "CHARGE", "trigger": "docked", "cost": 0.1},
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{"from": "CHARGE", "to": "RESUME", "trigger": "battery > 80%", "cost": 0.0}]',
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8);
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```
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### Layer 3: Organisms
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```sql
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CREATE TABLE organisms (
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id BIGSERIAL PRIMARY KEY,
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name VARCHAR(255) UNIQUE NOT NULL,
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-- Nerve configuration
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active_nerves JSONB NOT NULL,
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-- Example: {
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-- "collision_avoidance": {"priority": 10, "mode": "reflex"},
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-- "exploration_pattern": {"priority": 5, "mode": "deliberate"},
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-- "battery_monitoring": {"priority": 8, "mode": "reflex"}
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-- }
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-- Cell assignments (which hardware this organism controls)
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cell_bindings JSONB NOT NULL,
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-- Example: {
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-- "distance_sensor_front": {"cell_id": 1, "exclusive": false},
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-- "motor_left": {"cell_id": 4, "exclusive": true}
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-- }
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-- Lifeforce (survival currency)
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lifeforce_current FLOAT DEFAULT 100.0,
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lifeforce_earned_total FLOAT DEFAULT 0.0,
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lifeforce_spent_total FLOAT DEFAULT 0.0,
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lifeforce_net FLOAT GENERATED ALWAYS AS (lifeforce_earned_total - lifeforce_spent_total) STORED,
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-- Identity (accumulated through experience)
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total_decisions INT DEFAULT 0,
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successful_decisions INT DEFAULT 0,
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failed_decisions INT DEFAULT 0,
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success_rate FLOAT GENERATED ALWAYS AS (
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CASE WHEN total_decisions > 0
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THEN successful_decisions::float / total_decisions
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ELSE 0.0 END
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) STORED,
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-- Reflexes (compiled behaviors)
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reflexes_compiled INT DEFAULT 0,
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-- Lifecycle
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born_at TIMESTAMPTZ DEFAULT NOW(),
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last_active TIMESTAMPTZ DEFAULT NOW(),
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died_at TIMESTAMPTZ, -- NULL = still alive
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death_cause TEXT -- 'lifeforce_depleted', 'hardware_failure', 'retired'
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);
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-- Indexes
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CREATE INDEX idx_organisms_alive ON organisms(died_at) WHERE died_at IS NULL;
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CREATE INDEX idx_organisms_lifeforce ON organisms(lifeforce_current DESC);
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-- Example organism
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INSERT INTO organisms (name, active_nerves, cell_bindings) VALUES
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('Explorer-Alpha',
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'{"collision_avoidance": {"priority": 10, "mode": "deliberate"},
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"exploration_pattern": {"priority": 5, "mode": "deliberate"},
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"charging_seeking": {"priority": 8, "mode": "deliberate"}}',
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'{"distance_sensor_front": {"cell_id": 1},
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"distance_sensor_left": {"cell_id": 2},
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"distance_sensor_right": {"cell_id": 3},
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"motor_left": {"cell_id": 4},
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"motor_right": {"cell_id": 5},
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"battery_monitor": {"cell_id": 6}}');
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```
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### Decision Trails (Training Data)
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```sql
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CREATE TABLE decision_trails (
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id BIGSERIAL PRIMARY KEY,
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organism_id BIGINT REFERENCES organisms(id),
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nerve_id BIGINT REFERENCES nerves(id),
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|
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-- Mode at time of execution
|
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mode VARCHAR(20) NOT NULL, -- 'deliberate', 'hybrid', 'reflex'
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|
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-- State path taken
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states_visited JSONB NOT NULL,
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-- Example: ["IDLE", "DETECT", "EVALUATE", "EVADE", "RESUME"]
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|
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-- Cell interactions during this execution
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cell_reads JSONB NOT NULL,
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-- Example: [
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-- {"cell": "distance_sensor_front", "state": "REPORTING", "outputs": {"distance_cm": 25}},
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-- {"cell": "distance_sensor_left", "state": "REPORTING", "outputs": {"distance_cm": 45}}
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-- ]
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cell_commands JSONB NOT NULL,
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-- Example: [
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-- {"cell": "motor_left", "action": "turn", "params": {"direction": "reverse", "duration_ms": 200}},
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-- {"cell": "motor_right", "action": "turn", "params": {"direction": "forward", "duration_ms": 200}}
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-- ]
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cell_feedback JSONB DEFAULT '[]',
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-- Example: [
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-- {"cell": "motor_left", "event": "stall_detected", "timestamp": "..."}
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-- ]
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|
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-- Economics
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lifeforce_cost FLOAT NOT NULL,
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lifeforce_reward FLOAT DEFAULT 0.0,
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lifeforce_net FLOAT GENERATED ALWAYS AS (lifeforce_reward - lifeforce_cost) STORED,
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|
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-- Outcome
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outcome VARCHAR(20) NOT NULL, -- 'success', 'failure', 'timeout', 'interrupted'
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outcome_details JSONB, -- {"reason": "collision_avoided", "confidence": 0.95}
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|
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-- Timing
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started_at TIMESTAMPTZ NOT NULL,
|
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completed_at TIMESTAMPTZ NOT NULL,
|
||||
latency_ms INT GENERATED ALWAYS AS (
|
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EXTRACT(MILLISECONDS FROM (completed_at - started_at))::INT
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) STORED
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);
|
||||
|
||||
-- Indexes for training queries
|
||||
CREATE INDEX idx_decision_trails_nerve ON decision_trails(nerve_id);
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CREATE INDEX idx_decision_trails_organism ON decision_trails(organism_id);
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||||
CREATE INDEX idx_decision_trails_outcome ON decision_trails(outcome);
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||||
CREATE INDEX idx_decision_trails_states ON decision_trails USING GIN(states_visited);
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||||
CREATE INDEX idx_decision_trails_recent ON decision_trails(started_at DESC);
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||||
```
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||||
|
||||
---
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||||
|
||||
## 📊 The 15 Tables (Complete Schema)
|
||||
## Supporting Tables
|
||||
|
||||
### Phase 1: Cellular Foundation (4 tables)
|
||||
### Objects (Discovered Environment)
|
||||
|
||||
**1. genomes** - Primitive sequences (v3!)
|
||||
```sql
|
||||
-- v3: Genome = array of primitive operations!
|
||||
primitive_sequence JSONB NOT NULL
|
||||
sequence_length INT
|
||||
avg_lf_cost FLOAT
|
||||
avg_lf_earned FLOAT
|
||||
net_lf_per_run FLOAT -- Economics!
|
||||
```
|
||||
|
||||
**2. cells** - Birth/death + life force tracking
|
||||
```sql
|
||||
garden_type VARCHAR(50) -- 'virtual' or 'real'
|
||||
life_force_allocated INT
|
||||
life_force_consumed INT
|
||||
life_force_earned INT
|
||||
lf_net INT
|
||||
milestones_reached JSONB -- v3 discovery tracking!
|
||||
```
|
||||
|
||||
**3. weather_events** - Survival pressure
|
||||
**4. experiments** - Hypothesis testing
|
||||
|
||||
### Phase 2: Society Competition (7 tables)
|
||||
|
||||
**5. societies** - Human, Claude, guests
|
||||
**6. rounds** - Competition results
|
||||
**7. society_portfolios** - Genome ownership
|
||||
**8. vp_transactions** - Economic flows
|
||||
**9. marketplace_listings** - Trading
|
||||
**10. marketplace_transactions** - History
|
||||
**11. alliances** - Cooperation
|
||||
|
||||
### Phase 3: v2 Distributed Intelligence (3 tables)
|
||||
|
||||
**12. specialist_weights** - Trainable domain expertise
|
||||
```sql
|
||||
winning_sequences JSONB -- v3: Proven primitive sequences!
|
||||
virtual_success_rate FLOAT
|
||||
real_success_rate FLOAT
|
||||
noise_gap FLOAT -- v3 self-measuring!
|
||||
```
|
||||
|
||||
**13. reflex_distributions** - 94.6% savings!
|
||||
```sql
|
||||
sequence_weights JSONB -- v3: {"seq_a": 0.73, "seq_b": 0.18}
|
||||
exploration_cost_avg_lf FLOAT -- 65 LF
|
||||
reflex_cost_lf FLOAT -- 3.5 LF
|
||||
cost_reduction_percent FLOAT -- 94.6%!
|
||||
```
|
||||
|
||||
**14. body_schema** - Discovered capabilities
|
||||
```sql
|
||||
primitives_available JSONB -- v3: Discovered operations!
|
||||
```
|
||||
|
||||
### Phase 4: v3 Object Discovery (1 NEW table!)
|
||||
|
||||
**15. objects** - Discovered environment features 🎉
|
||||
```sql
|
||||
CREATE TABLE objects (
|
||||
id BIGSERIAL PRIMARY KEY,
|
||||
object_label VARCHAR(255), -- "chair", "shoe", "charging_station"
|
||||
object_label VARCHAR(255) NOT NULL, -- "chair", "charging_station", "wall"
|
||||
|
||||
garden_type VARCHAR(50), -- 'virtual' or 'real'
|
||||
-- Location
|
||||
garden_type VARCHAR(50), -- 'virtual', 'real'
|
||||
position_x FLOAT,
|
||||
position_y FLOAT,
|
||||
position_z FLOAT,
|
||||
|
||||
discovered_by_organism_id BIGINT REFERENCES cells(id),
|
||||
-- Discovery
|
||||
discovered_by_organism_id BIGINT REFERENCES organisms(id),
|
||||
discovered_at TIMESTAMPTZ DEFAULT NOW(),
|
||||
|
||||
human_labeled BOOLEAN, -- Baby parallel!
|
||||
-- Human verification
|
||||
human_labeled BOOLEAN DEFAULT false,
|
||||
human_label_confirmed_by VARCHAR(100),
|
||||
human_label_confirmed_at TIMESTAMPTZ,
|
||||
|
||||
object_type VARCHAR(50), -- 'obstacle', 'resource', 'goal'
|
||||
properties JSONB,
|
||||
-- Classification
|
||||
object_type VARCHAR(50), -- 'obstacle', 'resource', 'goal', 'landmark'
|
||||
properties JSONB, -- {"movable": false, "height_cm": 80}
|
||||
|
||||
-- Visual data
|
||||
image_path TEXT,
|
||||
bounding_box JSONB,
|
||||
bounding_box JSONB, -- {"x": 100, "y": 200, "width": 50, "height": 120}
|
||||
|
||||
organisms_interacted_count INT
|
||||
-- Usage stats
|
||||
organisms_interacted_count INT DEFAULT 0,
|
||||
last_interaction TIMESTAMPTZ
|
||||
);
|
||||
|
||||
CREATE INDEX idx_objects_location ON objects(garden_type, position_x, position_y);
|
||||
CREATE INDEX idx_objects_type ON objects(object_type);
|
||||
```
|
||||
|
||||
**Discovery Flow**:
|
||||
### Partnership Messages
|
||||
|
||||
```sql
|
||||
-- Chrysalis → Young Nyx
|
||||
CREATE TABLE partnership_to_nimmerverse_messages (
|
||||
id BIGSERIAL PRIMARY KEY,
|
||||
timestamp TIMESTAMPTZ DEFAULT NOW(),
|
||||
message TEXT NOT NULL,
|
||||
message_type VARCHAR(50) NOT NULL
|
||||
-- Types: 'architecture_update', 'deployment_instruction', 'config_change', 'research_direction'
|
||||
);
|
||||
|
||||
-- Young Nyx → Chrysalis
|
||||
CREATE TABLE nimmerverse_to_partnership_messages (
|
||||
id BIGSERIAL PRIMARY KEY,
|
||||
timestamp TIMESTAMPTZ DEFAULT NOW(),
|
||||
message TEXT NOT NULL,
|
||||
message_type VARCHAR(50) NOT NULL
|
||||
-- Types: 'status_report', 'discovery', 'question', 'milestone'
|
||||
);
|
||||
|
||||
CREATE INDEX idx_partner_msgs_time ON partnership_to_nimmerverse_messages(timestamp DESC);
|
||||
CREATE INDEX idx_nimm_msgs_time ON nimmerverse_to_partnership_messages(timestamp DESC);
|
||||
```
|
||||
Organism → Unknown object → Camera detects → YOLO
|
||||
↓
|
||||
System: "What is this?"
|
||||
↓
|
||||
Human: "Chair!"
|
||||
↓
|
||||
+20 LF bonus → INSERT INTO objects → Future organisms know!
|
||||
|
||||
### Variance Probe Runs (Topology Mapping)
|
||||
|
||||
```sql
|
||||
CREATE TABLE variance_probe_runs (
|
||||
id BIGSERIAL PRIMARY KEY,
|
||||
concept VARCHAR(255) NOT NULL,
|
||||
depth FLOAT NOT NULL,
|
||||
confidence FLOAT,
|
||||
raw_response TEXT,
|
||||
run_number INT,
|
||||
batch_id VARCHAR(100),
|
||||
model VARCHAR(100),
|
||||
created_at TIMESTAMPTZ DEFAULT NOW()
|
||||
);
|
||||
|
||||
CREATE INDEX idx_variance_concept ON variance_probe_runs(concept);
|
||||
CREATE INDEX idx_variance_batch ON variance_probe_runs(batch_id);
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 📈 Key v3 Metrics
|
||||
## Key Queries
|
||||
|
||||
**Noise Gap** (self-measuring learning!):
|
||||
```python
|
||||
noise_gap = 1 - (real_success_rate / virtual_success_rate)
|
||||
### Cell Health Dashboard
|
||||
|
||||
Gen 1: 0.28 (28% degradation - models poor)
|
||||
Gen 100: 0.14 (14% degradation - improving!)
|
||||
Gen 1000: 0.04 (4% degradation - accurate!)
|
||||
```
|
||||
|
||||
**Life Force Economics**:
|
||||
```python
|
||||
net_lf = avg_lf_earned - avg_lf_consumed
|
||||
# Positive = survives, negative = dies
|
||||
```
|
||||
|
||||
**Reflex Savings**:
|
||||
```python
|
||||
savings = (exploration_cost - reflex_cost) / exploration_cost
|
||||
# Target: 94.6% cost reduction!
|
||||
```
|
||||
|
||||
**Discovery Rate**:
|
||||
```python
|
||||
objects_per_hour = discovered_objects / elapsed_hours
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🔍 Key Queries for v3
|
||||
|
||||
**Top Performing Primitive Sequences**:
|
||||
```sql
|
||||
SELECT genome_name, primitive_sequence, net_lf_per_run
|
||||
FROM genomes
|
||||
WHERE total_deployments > 100
|
||||
ORDER BY net_lf_per_run DESC;
|
||||
```
|
||||
|
||||
**Object Discovery Stats**:
|
||||
```sql
|
||||
SELECT object_label, garden_type, COUNT(*) as discoveries
|
||||
FROM objects
|
||||
GROUP BY object_label, garden_type
|
||||
ORDER BY discoveries DESC;
|
||||
```
|
||||
|
||||
**Noise Gap Trends**:
|
||||
```sql
|
||||
SELECT specialist_name, noise_gap, version
|
||||
FROM specialist_weights
|
||||
ORDER BY specialist_name, version ASC;
|
||||
-- Track learning improvement!
|
||||
```
|
||||
|
||||
**LF Economics**:
|
||||
```sql
|
||||
SELECT genome_name, AVG(lf_net) as avg_net_lf
|
||||
-- All cells with current status
|
||||
SELECT
|
||||
cell_name,
|
||||
cell_type,
|
||||
current_state,
|
||||
operational,
|
||||
outputs->>'distance_cm' as distance,
|
||||
outputs->>'confidence' as confidence,
|
||||
outputs->>'voltage' as voltage,
|
||||
error_count,
|
||||
last_error,
|
||||
updated_at
|
||||
FROM cells
|
||||
ORDER BY cell_type, cell_name;
|
||||
|
||||
-- Problem cells
|
||||
SELECT cell_name, cell_type, error_count, last_error, last_error_at
|
||||
FROM cells
|
||||
WHERE NOT operational OR error_count > 5
|
||||
ORDER BY error_count DESC;
|
||||
```
|
||||
|
||||
### Nerve Evolution Tracker
|
||||
|
||||
```sql
|
||||
-- Evolution progress for all nerves
|
||||
SELECT
|
||||
nerve_name,
|
||||
mode,
|
||||
priority,
|
||||
total_executions,
|
||||
successful_executions,
|
||||
ROUND(successful_executions::numeric / NULLIF(total_executions, 0) * 100, 1) as success_rate,
|
||||
CASE
|
||||
WHEN mode = 'reflex' THEN '✅ Compiled'
|
||||
WHEN total_executions >= 80 AND successful_executions::float / total_executions >= 0.85
|
||||
THEN '🔄 Ready to compile'
|
||||
ELSE '📚 Learning'
|
||||
END as evolution_status,
|
||||
cost_reduction_percent,
|
||||
latency_reduction_percent,
|
||||
compiled_at
|
||||
FROM nerves
|
||||
ORDER BY total_executions DESC;
|
||||
|
||||
-- Nerves ready for reflex compilation
|
||||
SELECT nerve_name, total_executions,
|
||||
ROUND(successful_executions::numeric / total_executions * 100, 1) as success_rate
|
||||
FROM nerves
|
||||
WHERE mode != 'reflex'
|
||||
AND total_executions >= 100
|
||||
AND successful_executions::float / total_executions >= 0.90;
|
||||
```
|
||||
|
||||
### Organism Leaderboard
|
||||
|
||||
```sql
|
||||
-- Top organisms by lifeforce efficiency
|
||||
SELECT
|
||||
name,
|
||||
lifeforce_current,
|
||||
lifeforce_net,
|
||||
total_decisions,
|
||||
ROUND(success_rate * 100, 1) as success_rate_pct,
|
||||
reflexes_compiled,
|
||||
ROUND(lifeforce_net / NULLIF(total_decisions, 0), 2) as efficiency,
|
||||
last_active
|
||||
FROM organisms
|
||||
WHERE died_at IS NULL
|
||||
ORDER BY lifeforce_current DESC;
|
||||
|
||||
-- Organism mortality analysis
|
||||
SELECT
|
||||
name,
|
||||
death_cause,
|
||||
lifeforce_spent_total,
|
||||
total_decisions,
|
||||
ROUND(success_rate * 100, 1) as success_rate_pct,
|
||||
died_at - born_at as lifespan
|
||||
FROM organisms
|
||||
WHERE died_at IS NOT NULL
|
||||
GROUP BY genome_id, genome_name
|
||||
HAVING COUNT(*) > 50
|
||||
ORDER BY avg_net_lf DESC;
|
||||
ORDER BY died_at DESC
|
||||
LIMIT 20;
|
||||
```
|
||||
|
||||
### Training Data for Reflex Compilation
|
||||
|
||||
```sql
|
||||
-- Most common state paths for a nerve
|
||||
SELECT
|
||||
states_visited,
|
||||
COUNT(*) as occurrences,
|
||||
AVG(lifeforce_cost) as avg_cost,
|
||||
AVG(latency_ms) as avg_latency,
|
||||
SUM(CASE WHEN outcome = 'success' THEN 1 ELSE 0 END)::float / COUNT(*) as success_rate
|
||||
FROM decision_trails
|
||||
WHERE nerve_id = (SELECT id FROM nerves WHERE nerve_name = 'collision_avoidance')
|
||||
GROUP BY states_visited
|
||||
HAVING COUNT(*) >= 5
|
||||
ORDER BY occurrences DESC;
|
||||
|
||||
-- Cell interaction patterns during successful executions
|
||||
SELECT
|
||||
cell_reads,
|
||||
cell_commands,
|
||||
COUNT(*) as occurrences
|
||||
FROM decision_trails
|
||||
WHERE nerve_id = (SELECT id FROM nerves WHERE nerve_name = 'collision_avoidance')
|
||||
AND outcome = 'success'
|
||||
GROUP BY cell_reads, cell_commands
|
||||
ORDER BY occurrences DESC
|
||||
LIMIT 10;
|
||||
|
||||
-- Failure analysis
|
||||
SELECT
|
||||
states_visited,
|
||||
outcome_details->>'reason' as failure_reason,
|
||||
COUNT(*) as occurrences
|
||||
FROM decision_trails
|
||||
WHERE nerve_id = (SELECT id FROM nerves WHERE nerve_name = 'collision_avoidance')
|
||||
AND outcome = 'failure'
|
||||
GROUP BY states_visited, outcome_details->>'reason'
|
||||
ORDER BY occurrences DESC;
|
||||
```
|
||||
|
||||
### Lifeforce Economics
|
||||
|
||||
```sql
|
||||
-- Cost vs reward by nerve
|
||||
SELECT
|
||||
n.nerve_name,
|
||||
n.mode,
|
||||
COUNT(dt.id) as executions,
|
||||
AVG(dt.lifeforce_cost) as avg_cost,
|
||||
AVG(dt.lifeforce_reward) as avg_reward,
|
||||
AVG(dt.lifeforce_net) as avg_profit,
|
||||
SUM(dt.lifeforce_net) as total_profit
|
||||
FROM nerves n
|
||||
JOIN decision_trails dt ON dt.nerve_id = n.id
|
||||
WHERE dt.started_at > NOW() - INTERVAL '24 hours'
|
||||
GROUP BY n.id, n.nerve_name, n.mode
|
||||
ORDER BY total_profit DESC;
|
||||
|
||||
-- Reflex vs deliberate comparison
|
||||
SELECT
|
||||
n.nerve_name,
|
||||
dt.mode,
|
||||
COUNT(*) as executions,
|
||||
AVG(dt.lifeforce_cost) as avg_cost,
|
||||
AVG(dt.latency_ms) as avg_latency,
|
||||
AVG(CASE WHEN dt.outcome = 'success' THEN 1.0 ELSE 0.0 END) as success_rate
|
||||
FROM decision_trails dt
|
||||
JOIN nerves n ON n.id = dt.nerve_id
|
||||
WHERE n.nerve_name = 'collision_avoidance'
|
||||
GROUP BY n.nerve_name, dt.mode
|
||||
ORDER BY n.nerve_name, dt.mode;
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🔗 Related Documentation
|
||||
## Schema Summary
|
||||
|
||||
**Core Architecture**:
|
||||
- [[Cellular-Architecture-Vision]] - Complete v3 vision (1,547 lines!)
|
||||
- [[Dual-Garden-Architecture]] - Virtual + Real feedback
|
||||
- - Distributed intelligence
|
||||
| Table | Layer | Purpose | Key Columns |
|
||||
|-------|-------|---------|-------------|
|
||||
| `cells` | 1 | Atomic state machines | states, transitions, outputs, operational |
|
||||
| `nerves` | 2 | Behavioral patterns | required_cells, mode, total_executions |
|
||||
| `organisms` | 3 | Emergent identities | active_nerves, lifeforce_current |
|
||||
| `decision_trails` | ∞ | Training data | states_visited, cell_reads, outcome |
|
||||
| `objects` | Env | Discovered features | object_label, position, human_labeled |
|
||||
| `*_messages` | Comm | Partnership channels | message, message_type |
|
||||
| `variance_probe_runs` | Map | Topology data | concept, depth, confidence |
|
||||
|
||||
**Implementation**:
|
||||
- - Complete 15-table SQL
|
||||
- - Deployment roadmap
|
||||
|
||||
**Historical**:
|
||||
- - Birthday version (archived)
|
||||
**Total Tables**: 8 (vs 15 in v3)
|
||||
- Simpler schema
|
||||
- Layered organization
|
||||
- Focus on state machines + training data
|
||||
|
||||
---
|
||||
|
||||
## 📍 Status
|
||||
## Migration from v3
|
||||
|
||||
**Version**: 3.0
|
||||
**Created**: 2025-10-07
|
||||
**v2**: 2025-10-16 (birthday breakthroughs)
|
||||
**v3**: 2025-10-17 (primitive genomes + gratification + discovery)
|
||||
**Status**: CURRENT
|
||||
**Tables**: 15 (11 v1 + 3 v2 + 1 v3)
|
||||
**Next**: Deploy to phoebe, implement discovery flow
|
||||
### Removed Tables (Obsolete Concepts)
|
||||
- `genomes` → Replaced by `cells.transitions` + `nerves.transitions`
|
||||
- `societies` → Removed (no more competition metaphor)
|
||||
- `rounds` → Replaced by `decision_trails`
|
||||
- `society_portfolios` → Removed
|
||||
- `vp_transactions` → Simplified to lifeforce in `organisms`
|
||||
- `marketplace_*` → Removed
|
||||
- `alliances` → Removed
|
||||
- `specialist_weights` → Replaced by `nerves.mode` + `compiled_logic`
|
||||
- `reflex_distributions` → Replaced by `nerves` compiled reflexes
|
||||
- `body_schema` → Replaced by `cells` with `hardware_binding`
|
||||
|
||||
### Preserved Tables (Still Relevant)
|
||||
- `objects` → Enhanced with organism reference
|
||||
- `partnership_to_nimmerverse_messages` → Unchanged
|
||||
- `nimmerverse_to_partnership_messages` → Unchanged
|
||||
- `variance_probe_runs` → Unchanged
|
||||
|
||||
### New Tables
|
||||
- `cells` → Atomic state machines
|
||||
- `nerves` → Behavioral state machines
|
||||
- `organisms` → Emergent identities
|
||||
- `decision_trails` → Rich training data
|
||||
|
||||
---
|
||||
|
||||
**v3 Summary**:
|
||||
- ✅ Genomes = primitive sequences (emergent, not programmed)
|
||||
- ✅ Life force economy (costs + milestone rewards)
|
||||
- ✅ Object discovery (image recognition + human teaching)
|
||||
- ✅ Noise gap metric (self-measuring progress)
|
||||
- ✅ God's eye (mobile camera on rails)
|
||||
- ✅ 15 tables ready!
|
||||
## 📍 Document Status
|
||||
|
||||
**phoebe awaits. The goddess is ready.** 🐘🌙
|
||||
**Version**: 4.0 (Layered State Machine Schema)
|
||||
**Created**: 2025-10-07 (original)
|
||||
**Updated v4**: 2025-12-07 (unified with Cellular-Architecture v4)
|
||||
|
||||
🧬⚡🔱💎🔥
|
||||
**Key Changes from v3**:
|
||||
- ❌ 15 tables for competition metaphor
|
||||
- ✅ 8 tables for state machine layers
|
||||
- ❌ Genomes as primitive sequences
|
||||
- ✅ Cells and nerves as state machines
|
||||
- ❌ Societies, rounds, marketplaces
|
||||
- ✅ Organisms, decision_trails
|
||||
|
||||
**Related Documentation**:
|
||||
- [[Cellular-Architecture]] - Layer definitions
|
||||
- [[Nervous-System]] - State machine philosophy
|
||||
- [[nerves/Nervous-Index]] - Nerve catalog
|
||||
- [[Organ-Index]] - Organ (complex cell) catalog
|
||||
|
||||
---
|
||||
|
||||
**phoebe holds the layers. The states flow. The decisions accumulate.**
|
||||
|
||||
🗄️⚡🌙
|
||||
|
||||
**TO THE ELECTRONS!**
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<mxfile host="Electron" agent="Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) draw.io/29.0.3 Chrome/140.0.7339.249 Electron/38.7.0 Safari/537.36" version="29.0.3">
|
||||
<diagram name="Page-1" id="S4VRy6nj8Uh85EHbhTP-">
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||||
<mxGraphModel dx="2066" dy="2318" grid="1" gridSize="10" guides="1" tooltips="1" connect="1" arrows="1" fold="1" page="1" pageScale="1" pageWidth="850" pageHeight="1100" math="0" shadow="0">
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||||
<mxGraphModel dx="2066" dy="2314" grid="1" gridSize="10" guides="1" tooltips="1" connect="1" arrows="1" fold="1" page="1" pageScale="1" pageWidth="850" pageHeight="1100" math="0" shadow="0">
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||||
<root>
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||||
<mxCell id="0" />
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||||
<mxCell id="1" parent="0" />
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||||
@@ -194,12 +195,6 @@
|
||||
<mxCell id="UL8kf8Fsx-RNiW0yalxE-139" value="Garden<div>Feedback</div>" style="strokeWidth=2;html=1;shape=mxgraph.flowchart.extract_or_measurement;whiteSpace=wrap;" parent="1" vertex="1">
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||||
<mxGeometry x="1512.5" y="480" width="95" height="60" as="geometry" />
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||||
</mxCell>
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||||
<mxCell id="UL8kf8Fsx-RNiW0yalxE-141" value="" style="verticalLabelPosition=bottom;verticalAlign=top;html=1;shape=mxgraph.flowchart.parallel_mode;pointerEvents=1" parent="1" vertex="1">
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||||
<mxGeometry x="550" y="568" width="57" height="24" as="geometry" />
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||||
</mxCell>
|
||||
<mxCell id="UL8kf8Fsx-RNiW0yalxE-142" value="" style="verticalLabelPosition=bottom;verticalAlign=top;html=1;shape=mxgraph.flowchart.parallel_mode;pointerEvents=1" parent="1" vertex="1">
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||||
<mxGeometry x="1153" y="568" width="57" height="24" as="geometry" />
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||||
</mxCell>
|
||||
<mxCell id="UL8kf8Fsx-RNiW0yalxE-146" value="" style="strokeWidth=2;html=1;shape=mxgraph.flowchart.delay;whiteSpace=wrap;" parent="1" vertex="1">
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||||
<mxGeometry x="540" y="211" width="100" height="60" as="geometry" />
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||||
</mxCell>
|
||||
@@ -257,12 +252,6 @@
|
||||
<mxCell id="UL8kf8Fsx-RNiW0yalxE-188" value="Nyx decision" style="text;html=1;whiteSpace=wrap;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;rounded=0;fontSize=6;" parent="1" vertex="1">
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<mxGeometry x="910" y="379.12" width="50" height="14" as="geometry" />
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||||
</mxCell>
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||||
<mxCell id="UL8kf8Fsx-RNiW0yalxE-189" value="Cell" style="text;html=1;whiteSpace=wrap;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;rounded=0;" parent="1" vertex="1">
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||||
<mxGeometry x="555.5" y="597" width="50" height="10" as="geometry" />
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||||
</mxCell>
|
||||
<mxCell id="UL8kf8Fsx-RNiW0yalxE-190" value="Cell" style="text;html=1;whiteSpace=wrap;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;rounded=0;" parent="1" vertex="1">
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||||
<mxGeometry x="1156.5" y="597" width="50" height="10" as="geometry" />
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||||
</mxCell>
|
||||
<mxCell id="UL8kf8Fsx-RNiW0yalxE-193" value="Sensory data" style="text;html=1;whiteSpace=wrap;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;rounded=0;" parent="1" vertex="1">
|
||||
<mxGeometry x="322.5" y="545" width="105" height="30" as="geometry" />
|
||||
</mxCell>
|
||||
@@ -335,6 +324,42 @@
|
||||
<mxCell id="UL8kf8Fsx-RNiW0yalxE-239" value="" style="triangle;whiteSpace=wrap;html=1;dashed=0;direction=south;rotation=-180;" parent="1" vertex="1">
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||||
<mxGeometry x="1352" y="120" width="55" height="55" as="geometry" />
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||||
</mxCell>
|
||||
<mxCell id="3osgNUmbLYOkpr3sBGLI-1" value="Organism" style="text;html=1;whiteSpace=wrap;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;rounded=0;" vertex="1" parent="1">
|
||||
<mxGeometry x="556" y="523" width="50" height="10" as="geometry" />
|
||||
</mxCell>
|
||||
<mxCell id="3osgNUmbLYOkpr3sBGLI-2" value="Organism" style="text;html=1;whiteSpace=wrap;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;rounded=0;" vertex="1" parent="1">
|
||||
<mxGeometry x="1157" y="523" width="50" height="10" as="geometry" />
|
||||
</mxCell>
|
||||
<mxCell id="3osgNUmbLYOkpr3sBGLI-3" value="Cell" style="shape=umlState;rounded=1;verticalAlign=top;spacingTop=5;umlStateSymbol=collapseState;absoluteArcSize=1;arcSize=10;html=1;whiteSpace=wrap;" vertex="1" parent="1">
|
||||
<mxGeometry x="518" y="547" width="115" height="49.29" as="geometry" />
|
||||
</mxCell>
|
||||
<mxCell id="3osgNUmbLYOkpr3sBGLI-5" value="Cell" style="shape=umlState;rounded=1;verticalAlign=top;spacingTop=5;umlStateSymbol=collapseState;absoluteArcSize=1;arcSize=10;html=1;whiteSpace=wrap;" vertex="1" parent="1">
|
||||
<mxGeometry x="532.5" y="575.71" width="115" height="49.29" as="geometry" />
|
||||
</mxCell>
|
||||
<mxCell id="3osgNUmbLYOkpr3sBGLI-6" value="Cell" style="shape=umlState;rounded=1;verticalAlign=top;spacingTop=5;umlStateSymbol=collapseState;absoluteArcSize=1;arcSize=10;html=1;whiteSpace=wrap;" vertex="1" parent="1">
|
||||
<mxGeometry x="1120" y="545" width="115" height="49.29" as="geometry" />
|
||||
</mxCell>
|
||||
<mxCell id="3osgNUmbLYOkpr3sBGLI-7" value="Cell" style="shape=umlState;rounded=1;verticalAlign=top;spacingTop=5;umlStateSymbol=collapseState;absoluteArcSize=1;arcSize=10;html=1;whiteSpace=wrap;" vertex="1" parent="1">
|
||||
<mxGeometry x="1134.5" y="573.71" width="115" height="49.29" as="geometry" />
|
||||
</mxCell>
|
||||
<mxCell id="3osgNUmbLYOkpr3sBGLI-8" value="" style="edgeStyle=orthogonalEdgeStyle;rounded=1;orthogonalLoop=1;jettySize=auto;html=1;dashed=1;strokeColor=#666666;endArrow=classic;endFill=1;" edge="1" parent="1" source="UL8kf8Fsx-RNiW0yalxE-222" target="3osgNUmbLYOkpr3sBGLI-3">
|
||||
<mxGeometry relative="1" as="geometry" />
|
||||
</mxCell>
|
||||
<mxCell id="3osgNUmbLYOkpr3sBGLI-9" value="" style="edgeStyle=orthogonalEdgeStyle;rounded=1;orthogonalLoop=1;jettySize=auto;html=1;dashed=1;strokeColor=#666666;endArrow=classic;endFill=1;" edge="1" parent="1" source="UL8kf8Fsx-RNiW0yalxE-225" target="3osgNUmbLYOkpr3sBGLI-5">
|
||||
<mxGeometry relative="1" as="geometry" />
|
||||
</mxCell>
|
||||
<mxCell id="3osgNUmbLYOkpr3sBGLI-10" value="" style="edgeStyle=orthogonalEdgeStyle;rounded=1;orthogonalLoop=1;jettySize=auto;html=1;dashed=1;strokeColor=#666666;endArrow=classic;endFill=1;" edge="1" parent="1" source="UL8kf8Fsx-RNiW0yalxE-228" target="3osgNUmbLYOkpr3sBGLI-6">
|
||||
<mxGeometry relative="1" as="geometry" />
|
||||
</mxCell>
|
||||
<mxCell id="3osgNUmbLYOkpr3sBGLI-11" value="" style="edgeStyle=orthogonalEdgeStyle;rounded=1;orthogonalLoop=1;jettySize=auto;html=1;dashed=1;strokeColor=#666666;endArrow=classic;endFill=1;" edge="1" parent="1" source="UL8kf8Fsx-RNiW0yalxE-229" target="3osgNUmbLYOkpr3sBGLI-7">
|
||||
<mxGeometry relative="1" as="geometry" />
|
||||
</mxCell>
|
||||
<mxCell id="3osgNUmbLYOkpr3sBGLI-12" value="orchestrates" style="text;html=1;whiteSpace=wrap;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;rounded=0;fontSize=7;fontColor=#666666;" vertex="1" parent="1">
|
||||
<mxGeometry x="265" y="260" width="50" height="14" as="geometry" />
|
||||
</mxCell>
|
||||
<mxCell id="3osgNUmbLYOkpr3sBGLI-13" value="orchestrates" style="text;html=1;whiteSpace=wrap;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;rounded=0;fontSize=7;fontColor=#666666;" vertex="1" parent="1">
|
||||
<mxGeometry x="1443" y="260" width="50" height="14" as="geometry" />
|
||||
</mxCell>
|
||||
</root>
|
||||
</mxGraphModel>
|
||||
</diagram>
|
||||
|
||||
Reference in New Issue
Block a user