README

README.md

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+# Center for Cybernomics Research (CCR)
+
+## 🌐 About
+
+The Center for Cybernomics Research (CCR) is an interdisciplinary initiative from the AF2C exploring cybernetic systems for post-capitalist economic models. We combine systems theory, decentralized governance, and computational modeling to develop frameworks for resource allocation and organizational structure modelling beyond liberal markets.
+
+Current Focus Areas:
+- Anarchist cybernetic systems
+- Mutual aid network simulations
+- Decentralized decision-making protocols
+- Anti-hierarchical resource management
+
+## 📂 Repository Structure
+```
+CCR/
+├── python/          # Python implementations
+├── papers/          # Research whitepapers (upcoming)
+├── governance/      # Decision-making protocols (upcoming)
+└── flake.nix        # Nix development environment
+```
+
+## 🚀 Getting Started
+1. Clone repository:
+```bash
+Copy
+git clone https://github.com/your-org/CCR.git
+cd CCR
+```
+2. Enable flake :
+```bash
+bash
+Copy
+nix develop  # Enter unified development environment
+```
+## 🤝 Contributing
+We welcome contributions through :
+- Code : Implement new simulation modules
+- Research : Develop theoretical frameworks
+- Design : Create visualization tools
+- Documentation : Improve technical specs
+
+See CONTRIBUTING.md (upcoming) for guidelines.
+
+## 📜 License
+upcoming

python/README.md

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+# CCR Python Simulations
+## 🥖 Bakery
+A computational model of decentralized bread production/distribution commune (type 1) inspired by Project Cybersyn.
+
+Key Features
+- Decentralized Voting System with consensus-based production decisions
+- Resource Cybernetics (Real-time flour/energy tracking)
+- Variable distribution priority
+- Community Trust Metrics : Feedback-loop driven scores that influence donations
+
+### ⚙️ Installation
+```bash
+git clone https://github.com/your-org/CCR.git
+cd CCR/python
+
+# Using Nix (recommended):
+`nix develop`
+
+# Manual setup:
+python -m venv .venv
+source .venv/bin/activate
+pip install -r requirements.txt
+```
+
+### 🚦 Running the Simulation
+```bash
+python run.py
+
+# Expected terminal output:
+Day 0: Produced 94 loaves (Consensus: 3/4)
+Day 2: Distributed 82 loaves
+Community trust: 58.3 → 64.1
+```
+### 📁 Code Structure
+```
+python/
+├── classes.py       # Core models (Bakery, Member)
+├── simulation.py    # Main simulation loop
+├── run.py           # Visualization script using matplotlib
+├── tests/           # Unit tests (upcoming)
+└── analysis/        # Data processing notebooks (upcoming)
+```
+### 🌱 Future Development
+-[] Add crisis scenarios (resource shortages)
+-[] Implement skill-based task allocation
+-[] Connect to real data
+-[] Develop web interface
+-[] Generalize to other type 1 communes
+
+### 📊 Example Output
+
+|Day | Bread Stock | Trust Score | Production Runs
+|----|------------|-------------|-----------------
+|0   | 94         | 50.0        | 1
+|3   | 132        | 63.4        | 2
+|7   | 87         | 71.2        | 1
+
+### 📝 Contributing
+1. Fork the repository
+2. Create feature branch:
+```bash
+git checkout -b feature/new-voting-system
+```
+3. Submit pull request with:
+    - Code changes
+    - Updated tests
+    - Documentation additions

python/src/run.py

@@ -1,7 +1,7 @@
 import matplotlib.pyplot as plt
 from simulation import simulate_days
 
-trust, bread = simulate_days(days=30)
+trust, bread = simulate_days(days=1825)
 
 # Plot results
 plt.figure(figsize=(12, 4))

python/src/simulation.py

@@ -19,22 +19,22 @@ def simulate_days(days=30):
     
     for day in range(days):
         # --- Daily donations ---
-        bakery.flour_stock += np.random.randint(2, 10)  # ~10kg/day
+        bakery.flour_stock += np.random.randint(2, 100)  # ~10kg/day
-        bakery.energy_stock += np.random.randint(5, 30) # ~30kWh/day
+        bakery.energy_stock += np.random.randint(5, 300) # ~30kWh/day
         
         # --- Decentralized production decision ---
-        if bakery.flour_stock < 50:  # Trigger production proposal
+        if bakery.flour_stock >= 50:  # Trigger production proposal
             votes = [member.vote("produce_bread") for member in members]
             yes_votes = sum(1 for vote in votes if vote == "yes")
             
-            if yes_votes / len(members) >= 1:  # Consensus
+            if yes_votes / len(members) >= 0.75 :  # Consensus
                 requested_loaves = 100
                 produced = bakery.produce_bread(requested_loaves)
                 print(f"Day {day}: Produced {produced} loaves")
         
         # --- Distribute bread ---
         daily_distribution = bakery.distribute_bread({
-            "mutual_aid": 50,   # 50 groups needing bread
+            "mutual_aid": 50,   # 50 mutual aid groups
             "individuals": 100  # 100 individuals
         })