Based on the diagram you shared, I can suggest how to structure this neurological-inspired architecture as a software system in GitHub. This approach would translate the biological/organizational metaphor into a practical implementation.
graph TB
subgraph "Neurological Inspiration"
Brain[π§ Human Cognitive Architecture<br/>System-5-CNS-ORG.png]
end
subgraph "GitHub Implementation"
subgraph "Cerebral Triad (Yellow) - Executive Functions"
direction TB
CT[π§ Neocortex Processing]
T7[π‘ T-7: Thought Service<br/>Right Hemisphere - Intuitive Ideas]
PD2[π― PD-2: Processing Director<br/>Central Coordination]
P5C[β‘ P-5: Processing Service<br/>Analytical Processing]
O4C[π€ O-4: Output Service<br/>Left Hemisphere - Applied Output]
end
subgraph "Somatic Triad (Light Blue) - Behavioral Control"
direction TB
ST[π€ Basal System Processing]
M1S[πΉοΈ M-1: Motor Control<br/>Action Coordination]
S8S[ποΈ S-8: Sensory Service<br/>Environmental Input]
P5S[π§ P-5: Processing Service<br/>Behavioral Techniques]
O4S[π‘ O-4: Output Service<br/>Response Delivery]
end
subgraph "Autonomic Triad (Turquoise) - Background Systems"
direction TB
AT[βοΈ Autonomic Processing]
M1A[π M-1: Monitoring<br/>System Health]
S8A[πΎ S-8: State Management<br/>Limbic System State]
PD2A[π§ PD-2: Process Director<br/>Background Orchestration]
P5A[β€οΈ P-5: Processing Service<br/>Emotive Processing]
T7A[β‘ T-7: Trigger Service<br/>Autonomic Responses]
end
subgraph "Integration Layer"
Gateway[π API Gateway<br/>Central Nervous System]
EventBus[π‘ Event Bus<br/>Neural Pathways]
SharedLib[π Cognitive Core<br/>Shared Libraries]
end
end
Brain --> Gateway
Gateway --> CT
Gateway --> ST
Gateway --> AT
CT <--> ST
ST <--> AT
AT <--> CT
T7 <--> PD2
PD2 <--> P5C
P5C <--> O4C
S8S <--> M1S
M1S <--> P5S
P5S <--> O4S
M1A <--> PD2A
S8A <--> PD2A
PD2A <--> P5A
P5A <--> T7A
EventBus <--> T7
EventBus <--> M1S
EventBus <--> M1A
SharedLib --> T7
SharedLib --> M1S
SharedLib --> M1A
style CT fill:#fff2cc,stroke:#333,stroke-width:2px
style ST fill:#cce5ff,stroke:#333,stroke-width:2px
style AT fill:#ccffcc,stroke:#333,stroke-width:2px
style Brain fill:#ffe6e6,stroke:#333,stroke-width:3px
We can implement this as a distributed system with three main components (triads) that mirror the neurological structure in the provided diagram:
This implementation translates the biological cognitive architecture into a distributed microservices system where each brain region corresponds to specific GitHub repositories and services.
Create a GitHub organization called "CognitiveCities" with the following repositories:
β’ cerebral-triad: High-level decision making and coordination β’ somatic-triad: Handles voluntary operations and behavior execution β’ autonomic-triad: Manages background processes and automated responses
β’ cognitive-core: Shared libraries and utilities β’ integration-hub: API gateways and communication protocols β’ deployment-configs: Infrastructure as code and deployment scripts
graph TD
subgraph "Neurological Architecture (System-5-CNS-ORG.png)"
Neo[Neocortex - Executive Functions]
RH[Right Hemisphere - Intuitive Ideas]
LH[Left Hemisphere - Applied Techniques]
BS[Basal System - Somatic Balance]
LS[Limbic System - Emotive Balance]
CT[Cerebral Triad - Yellow]
ST[Somatic Triad - Light Blue]
AT[Autonomic Triad - Turquoise]
end
subgraph "GitHub Repository Structure"
subgraph "cerebral-triad/"
T7[thought-service/ (T-7)]
PD2[processing-director/ (PD-2)]
P5C[processing-service/ (P-5)]
O4C[output-service/ (O-4)]
end
subgraph "somatic-triad/"
M1S[motor-control-service/ (M-1)]
S8S[sensory-service/ (S-8)]
P5S[processing-service/ (P-5)]
O4S[output-service/ (O-4)]
end
subgraph "autonomic-triad/"
M1A[monitoring-service/ (M-1)]
S8A[state-management-service/ (S-8)]
PD2A[process-director/ (PD-2)]
P5A[processing-service/ (P-5)]
T7A[trigger-service/ (T-7)]
end
subgraph "cognitive-core/"
SL[shared-libraries/]
Utils[utilities/]
end
subgraph "integration-hub/"
API[api-gateway/]
EventBus[event-bus/]
end
end
%% Mapping connections
Neo --> CT
RH --> T7
LH --> O4C
CT --> cerebral-triad/
ST --> somatic-triad/
AT --> autonomic-triad/
BS --> M1S
LS --> P5A
Map the diagram components to specific microservices:
graph LR
subgraph "Cerebral Triad - High-level Cognition"
T7[T-7<br/>Thought Service<br/>π‘ Intuitive Ideas]
PD2[PD-2<br/>Processing Director<br/>π― Coordination]
P5[P-5<br/>Processing Service<br/>β‘ Analysis]
O4[O-4<br/>Output Service<br/>π€ Results]
end
T7 --> PD2
PD2 --> P5
PD2 --> O4
P5 --> O4
style T7 fill:#ff9999
style PD2 fill:#ff6666
style P5 fill:#6699ff
style O4 fill:#66ccff
Neurological Mapping:
- T (7) - Thought Service: Maps to Right Hemisphere intuitive idea generation
- PD (2) - Processing Director: Central coordination like the Processing Director in neocortex
- P (5) - Processing Service: Analytical processing similar to cerebral processing
- O (4) - Output Service: Formatted output delivery like left hemisphere applied techniques
graph LR
subgraph "Somatic Triad - Behavioral Control"
M1[M-1<br/>Motor Control<br/>π€ Actions]
S8[S-8<br/>Sensory Service<br/>ποΈ Input]
P5S[P-5<br/>Processing Service<br/>π§ Behavior]
O4S[O-4<br/>Output Service<br/>π‘ Response]
end
S8 --> M1
M1 --> P5S
S8 --> P5S
P5S --> O4S
M1 --> O4S
style M1 fill:#99ff99
style S8 fill:#99ff99
style P5S fill:#6699ff
style O4S fill:#66ccff
Neurological Mapping:
- M (1) - Motor Control Service: Maps to Basal System somatic balance and motor control
- S (8) - Sensory Service: Environmental sensing and input processing
- P (5) - Processing Service: Behavioral technique implementation
- O (4) - Output Service: Behavioral response delivery
graph LR
subgraph "Autonomic Triad - Background Systems"
M1A[M-1<br/>Monitoring<br/>π Health]
S8A[S-8<br/>State Management<br/>πΎ State]
PD2A[PD-2<br/>Process Director<br/>βοΈ Orchestration]
P5A[P-5<br/>Processing Service<br/>β€οΈ Emotive]
T7A[T-7<br/>Trigger Service<br/>β‘ Responses]
end
M1A --> PD2A
S8A --> PD2A
PD2A --> P5A
PD2A --> T7A
P5A --> T7A
style M1A fill:#66ffcc
style S8A fill:#66ffcc
style PD2A fill:#ff6666
style P5A fill:#6699ff
style T7A fill:#ff9999
Neurological Mapping:
- M (1) - Monitoring Service: Continuous system health monitoring like autonomic nervous system
- S (8) - State Management Service: Maintains system state like limbic system state management
- PD (2) - Process Director: Background process orchestration
- P (5) - Processing Service: Maps to Limbic System emotive balance and intuitive processing
- T (7) - Trigger Service: Automatic response triggering like parasympathetic responses
Implement communication between components using: Event-driven architecture with message queues (e.g., Kafka, RabbitMQ) RESTful APIs for direct service-to-service communication WebSockets for real-time updates between triads
sequenceDiagram
participant User
participant Gateway as API Gateway
participant CT as Cerebral Triad
participant ST as Somatic Triad
participant AT as Autonomic Triad
User->>Gateway: Request
Gateway->>CT: Route to Thought Service
CT->>CT: Generate Ideas (T-7)
CT->>CT: Coordinate Processing (PD-2)
CT->>CT: Analyze (P-5)
CT->>ST: Send behavioral directive
ST->>ST: Process motor commands (M-1)
ST->>ST: Process sensory input (S-8)
ST->>ST: Execute behavior (P-5)
ST->>AT: Report status
AT->>AT: Monitor health (M-1)
AT->>AT: Update state (S-8)
AT->>AT: Background processing (P-5)
AT-->>CT: System feedback
ST->>Gateway: Response
Gateway->>User: Final response
graph TB
subgraph "External Interface"
Users[π₯ Users]
Systems[π External Systems]
end
subgraph "Integration Layer"
Gateway[π API Gateway<br/>Port 3000]
EventBus[π‘ Event Bus<br/>Message Queue]
end
subgraph "Cerebral Triad - Executive Functions"
T7[π‘ Thought Service<br/>Port 3001]
PD2[π― Processing Director<br/>Port 3002]
P5C[β‘ Processing Service<br/>Port 3003]
O4C[π€ Output Service<br/>Port 3004]
end
subgraph "Somatic Triad - Behavioral Control"
M1S[π€ Motor Control<br/>Port 3011]
S8S[ποΈ Sensory Service<br/>Port 3012]
P5S[π§ Processing Service<br/>Port 3013]
O4S[π‘ Output Service<br/>Port 3014]
end
subgraph "Autonomic Triad - Background Systems"
M1A[π Monitoring<br/>Port 3021]
S8A[πΎ State Management<br/>Port 3022]
PD2A[βοΈ Process Director<br/>Port 3023]
P5A[β€οΈ Processing Service<br/>Port 3024]
T7A[β‘ Trigger Service<br/>Port 3025]
end
subgraph "Core Infrastructure"
SharedLib[π Shared Libraries]
Config[βοΈ Configuration]
Monitor[π Monitoring Stack]
end
Users --> Gateway
Systems --> Gateway
Gateway --> T7
Gateway --> M1S
Gateway --> M1A
T7 <--> PD2
PD2 <--> P5C
P5C <--> O4C
S8S <--> M1S
M1S <--> P5S
P5S <--> O4S
M1A <--> PD2A
S8A <--> PD2A
PD2A <--> P5A
P5A <--> T7A
%% Cross-triad communication
O4C -.-> M1S
O4S -.-> M1A
T7A -.-> T7
%% Event bus connections
EventBus <--> T7
EventBus <--> M1S
EventBus <--> M1A
%% Infrastructure connections
SharedLib --> T7
SharedLib --> M1S
SharedLib --> M1A
Monitor --> M1A
GitHub Actions Workflows: β’ Create CI/CD pipelines for each triad β’ Implement integration tests between triads β’ Set up monitoring and alerting GitHub Projects: β’ Create a project board for each triad β’ Set up an integration project board for cross-triad coordination GitHub Issues: β’ Use labels that correspond to the triads and components β’ Create issue templates for different types of work Documentation: β’ Create comprehensive README files explaining the neurological metaphor β’ Document the interfaces between components β’ Provide diagrams showing the relationship to the original concept
For a modern cloud-native implementation:
CognitiveCities/cosmos-system-5/
βββ π§ cerebral-triad/ # Neocortex - Executive Functions
β βββ π‘ thought-service/ # Right Hemisphere - Intuitive Ideas (T-7)
β βββ π― processing-director/ # Central Coordination (PD-2)
β βββ β‘ processing-service/ # Analytical Processing (P-5)
β βββ π€ output-service/ # Left Hemisphere - Applied Output (O-4)
βββ π€ somatic-triad/ # Basal System - Motor Control
β βββ πΉοΈ motor-control-service/ # Motor Functions (M-1)
β βββ ποΈ sensory-service/ # Sensory Input Processing (S-8)
β βββ π§ processing-service/ # Behavioral Techniques (P-5)
β βββ π‘ output-service/ # Behavioral Responses (O-4)
βββ βοΈ autonomic-triad/ # Autonomic Nervous System
β βββ π monitoring-service/ # System Health Monitoring (M-1)
β βββ πΎ state-management/ # Limbic System State (S-8)
β βββ π§ process-director/ # Background Orchestration (PD-2)
β βββ β€οΈ processing-service/ # Emotive Processing (P-5)
β βββ β‘ trigger-service/ # Autonomic Responses (T-7)
βββ π cognitive-core/ # Shared Neural Infrastructure
β βββ π shared-libraries/ # Common neural pathways
β βββ π οΈ utilities/ # Support functions
βββ π integration-hub/ # Neural Network Integration
β βββ πͺ api-gateway/ # Central nervous system gateway
β βββ π‘ event-bus/ # Neural communication pathways
βββ π deployment-configs/ # Infrastructure DNA
βββ βΈοΈ kubernetes/ # Container orchestration
βββ ποΈ terraform/ # Infrastructure as code
βββ π monitoring/ # System health monitoring
graph LR
subgraph "Neurological Diagram"
subgraph "CT[Cerebral Triad - Yellow]"
T7N[T-7]
PD2N[PD-2]
P5N[P-5]
O4N[O-4]
end
subgraph "ST[Somatic Triad - Light Blue]"
M1NS[M-1]
S8N[S-8]
P5NS[P-5]
O4NS[O-4]
end
subgraph "AT[Autonomic Triad - Turquoise]"
M1NA[M-1]
S8NA[S-8]
PD2NA[PD-2]
P5NA[P-5]
T7NA[T-7]
end
end
subgraph "GitHub Implementation"
subgraph "cerebral-triad/"
T7G[thought-service/]
PD2G[processing-director/]
P5G[processing-service/]
O4G[output-service/]
end
subgraph "somatic-triad/"
M1GS[motor-control-service/]
S8G[sensory-service/]
P5GS[processing-service/]
O4GS[output-service/]
end
subgraph "autonomic-triad/"
M1GA[monitoring-service/]
S8GA[state-management-service/]
PD2GA[process-director/]
P5GA[processing-service/]
T7GA[trigger-service/]
end
end
%% Direct mappings
T7N --> T7G
PD2N --> PD2G
P5N --> P5G
O4N --> O4G
M1NS --> M1GS
S8N --> S8G
P5NS --> P5GS
O4NS --> O4GS
M1NA --> M1GA
S8NA --> S8GA
PD2NA --> PD2GA
P5NA --> P5GA
T7NA --> T7GA
style CT fill:#fff2cc
style ST fill:#cce5ff
style AT fill:#ccffcc
- Directory Structure: Complete triad and service organization
- Shared Libraries: Base service classes and communication interfaces
- TypeScript Configuration: Project-wide type safety and compilation
- Docker Configuration: Containerization for all services
- GitHub Actions: CI/CD pipeline for automated testing and deployment
-
Thought Service (T-7): β FULLY IMPLEMENTED
- Generates intuitive ideas and potential solutions
- Multi-domain knowledge base (technology, urban-planning)
- Confidence scoring and association mapping
- RESTful API with comprehensive endpoints
- Status: Running on port 3001, fully functional
-
Processing Director (PD-2): β FULLY IMPLEMENTED
- Coordinates processing of information between services
- Creates and manages processing plans
- Service discovery and orchestration
- RESTful API with coordination endpoints
- Status: Running on port 3002, fully functional
-
Processing Service (P-5): β FULLY IMPLEMENTED
- Executes analytical processing operations
- Advanced analytics engine with multiple algorithms
- Data preprocessing, analysis, and optimization
- RESTful API with processing capabilities
- Status: Running on port 3003, fully functional
-
Output Service (O-4): β FULLY IMPLEMENTED
- Formats and delivers processed information
- Multiple output formats (JSON, XML, CSV, HTML, Markdown)
- Template system for customized outputs
- RESTful API with formatting and delivery endpoints
- Status: Running on port 3004, fully functional
- API Gateway: β
FULLY IMPLEMENTED
- Service discovery and routing
- Load balancing and health checks
- Comprehensive API documentation endpoint
- Error handling and monitoring
- Status: Ready for deployment on port 3000
- Kubernetes Manifests: Production-ready container orchestration
- Prometheus Monitoring: Service health and metrics collection
- Docker Compose: Local development environment
- GitHub Issue Templates: Triad-specific issue management
-
Motor Control Service (M-1): β FULLY IMPLEMENTED
- Coordinates actions and behaviors
- Multi-step behavioral sequencing and planning
- Dependency management and execution monitoring
- RESTful API with coordination and execution endpoints
- Status: Running on port 3011, fully functional
-
Sensory Service (S-8): β FULLY IMPLEMENTED
- Collects and processes external inputs
- Multi-modal sensor data processing (visual, audio, environmental, digital)
- Real-time signal processing and pattern recognition
- RESTful API with collection and processing endpoints
- Status: Running on port 3012, fully functional
-
Processing Service (P-5): β FULLY IMPLEMENTED
- Handles behavioral technique implementation
- Adaptive behavior processing and learning
- Context-aware behavioral adaptation
- RESTful API with technique processing endpoints
- Status: Running on port 3013, fully functional
-
Output Service (O-4): β FULLY IMPLEMENTED
- Delivers behavioral responses
- Multi-target coordination and real-time execution
- Adaptive response formatting and delivery
- RESTful API with delivery and coordination endpoints
- Status: Running on port 3014, fully functional
-
Monitoring Service (M-1): β FULLY IMPLEMENTED
- Automatic system monitoring and health assessment
- Performance metrics collection and analysis
- Anomaly detection and alerting
- Resource usage tracking
- RESTful API with monitoring and alerting endpoints
- Status: Running on port 3021, fully functional
-
State Management Service (S-8): β FULLY IMPLEMENTED
- Maintains global system state and configuration
- Centralized state management and synchronization
- Configuration persistence and retrieval
- Backup and recovery operations
- RESTful API with state and configuration endpoints
- Status: Running on port 3022, fully functional
-
Process Director (PD-2): β FULLY IMPLEMENTED
- Manages background processes and automation workflows
- Background process orchestration and scheduling
- Automated workflow execution and queuing
- Resource allocation and management
- RESTful API with process management endpoints
- Status: Running on port 3023, fully functional
-
Processing Service (P-5): β FULLY IMPLEMENTED
- Handles emotive and intuitive background processing
- Emotive response processing and pattern recognition
- Adaptive behavior learning and emotional context analysis
- Subconscious processing simulation
- RESTful API with emotive processing endpoints
- Status: Running on port 3024, fully functional
-
Trigger Service (T-7): β FULLY IMPLEMENTED
- Initiates automatic responses and reactions
- Event-driven response triggering and automated reaction systems
- Threshold-based alerting and emergency response coordination
- Reflex action simulation
- RESTful API with trigger and response endpoints
- Status: Running on port 3025, fully functional
-
Monitoring Service (M-1): β FULLY IMPLEMENTED
- Automatic system monitoring and health assessment
- Performance metrics collection and analysis
- Anomaly detection and alerting
- Resource usage tracking
- RESTful API with monitoring and alerting endpoints
- Status: Running on port 3021, fully functional
-
State Management Service (S-8): β FULLY IMPLEMENTED
- Maintains global system state and configuration
- Centralized state management and synchronization
- Configuration persistence and retrieval
- Backup and recovery operations
- RESTful API with state and configuration endpoints
- Status: Running on port 3022, fully functional
-
Process Director (PD-2): β FULLY IMPLEMENTED
- Manages background processes and automation workflows
- Background process orchestration and scheduling
- Automated workflow execution and queuing
- Resource allocation and management
- RESTful API with process management endpoints
- Status: Running on port 3023, fully functional
-
Processing Service (P-5): β FULLY IMPLEMENTED
- Handles emotive and intuitive background processing
- Emotive response processing and pattern recognition
- Adaptive behavior learning and emotional context analysis
- Subconscious processing simulation
- RESTful API with emotive processing endpoints
- Status: Running on port 3024, fully functional
-
Trigger Service (T-7): β FULLY IMPLEMENTED
- Initiates automatic responses and reactions
- Event-driven response triggering and automated reaction systems
- Threshold-based alerting and emergency response coordination
- Reflex action simulation
- RESTful API with trigger and response endpoints
- Status: Running on port 3025, fully functional
-
π§ Predictive Engine: IN PROGRESS - Core algorithms implemented, integration pending
- Basic time series prediction and anomaly detection
- Statistical analysis and trend forecasting capabilities
- Message-based service architecture following BaseService pattern
- Status: Core functionality ready, requires deployment integration
-
π§ Pattern Analyzer: IN PROGRESS - Pattern recognition framework established
- Behavioral and interaction pattern analysis infrastructure
- Real-time monitoring capabilities designed
- Cross-triad optimization pattern detection
- Status: Architecture defined, implementation requires completion
-
π§ Adaptive Optimizer: IN PROGRESS - Self-learning optimization framework
- Cross-triad coordination optimization design
- Adaptive configuration management structure
- Performance tuning and resource optimization planning
- Status: Framework designed, requires full implementation
-
Real-time Analytics Dashboard: β FULLY IMPLEMENTED
- Live system monitoring and real-time metrics visualization
- WebSocket-based dashboard with interactive controls
- Health monitoring, alert management, and performance analytics
- Optimization insights and ML model performance tracking
- Historical data analysis and report generation
- Status: Service implementation ready for deployment
The production deployment uses AWS EKS with Terraform for infrastructure management:
# Deploy infrastructure
cd deployment-configs/terraform
terraform init
terraform plan
terraform applyInfrastructure Features:
- β Multi-AZ EKS Cluster: High availability across availability zones
- β Node Groups per Triad: Dedicated compute resources for each neurological function
- β VPC with Public/Private Subnets: Secure network architecture
- β Load Balancers & Auto Scaling: Dynamic scaling based on load
- β Security Groups & Network Policies: Defense in depth security
Enhanced Kubernetes manifests with production-ready configurations:
# Deploy to production
kubectl apply -f deployment-configs/kubernetes/production-deployment.yaml
# Verify deployment
kubectl get pods -n cognitive-cities
kubectl get services -n cognitive-citiesProduction Features:
- β High Availability: Multi-replica deployments with anti-affinity rules
- β Health Checks: Comprehensive liveness and readiness probes
- β Resource Management: CPU/memory requests and limits
- β Auto Scaling: Horizontal Pod Autoscalers (HPA)
- β Security Context: Non-root containers with read-only filesystems
- β Network Policies: Micro-segmentation for enhanced security
Production-grade monitoring with Prometheus and alerting:
# Deploy monitoring stack
kubectl apply -f deployment-configs/monitoring/Monitoring Stack:
- β Prometheus: Metrics collection with triad-specific configurations
- β Alert Rules: Service-specific alerts for each neurological function
- β Grafana Dashboards: Visual analytics for system health
- β CloudWatch Integration: AWS native monitoring and logging
- β Distributed Tracing: Request flow across triads
Automated build, test, and deployment pipeline:
# .github/workflows/production-pipeline.yml
- Quality Gates: Linting, security scanning, testing
- Multi-stage Build: Separate builds for each triad
- Integration Testing: Cross-triad functionality validation
- Container Registry: AWS ECR with image scanning
- Progressive Deployment: Blue-green deployment strategy
- Rollback Capability: Automated rollback on failureProduction security measures:
- β Container Security: Image scanning and vulnerability assessment
- β Network Security: VPC, security groups, and network policies
- β Access Control: RBAC with least-privilege principles
- β Secrets Management: AWS Secrets Manager integration
- β Audit Logging: Comprehensive audit trails
Optimized for production workloads:
- β Auto Scaling: CPU and memory-based scaling
- β Load Balancing: Multi-AZ load distribution
- β Resource Optimization: Right-sized containers
- β Caching Strategy: Redis integration for performance
- β Database Optimization: Connection pooling and indexing
- Node.js 18+
- Docker & Docker Compose
- Kubernetes (optional, for production deployment)
-
Clone and Install
git clone https://github.com/EchoCog/cosmos-system-5.git cd cosmos-system-5 npm install -
Build Core Libraries
cd cognitive-core/shared-libraries npm install && npm run build
-
Start the Processing Director
cd cerebral-triad/processing-director npm install && npm run build npm start # Runs on port 3002
-
Start the Processing Service
cd cerebral-triad/processing-service npm install && npm run build npm start # Runs on port 3003
-
Start the Output Service
cd cerebral-triad/output-service npm install && npm run build npm start # Runs on port 3004
-
Test the Complete Cerebral Triad
# Test Thought Service curl -X POST http://localhost:3001/generate \ -H "Content-Type: application/json" \ -d '{ "context": "smart city traffic", "domain": "technology", "complexity": "medium", "timeframe": 30 }' # Test Processing Director curl -X POST http://localhost:3002/coordinate \ -H "Content-Type: application/json" \ -d '{ "thoughtsData": [{"id": "test", "content": "sample data"}], "processingType": "analysis", "priority": "medium", "requiredServices": ["processing-service"] }' # Test Processing Service curl http://localhost:3003/capabilities # Test Output Service curl http://localhost:3004/formats
# Build and start all services
docker-compose up --build
# Access API Gateway
curl http://localhost:3000/api/docs# Deploy to Kubernetes cluster
kubectl apply -f deployment-configs/kubernetes/cognitive-cities.yaml
# Check status
kubectl get pods -n cognitive-citiesThe architecture mirrors human cognitive processes based on the neurological diagram (System-5-CNS-ORG.png):
graph TB
subgraph "Neurological Architecture"
subgraph "Neocortex"
RH[Right Hemisphere<br/>Intuitive Ideas<br/>Potential]
LH[Left Hemisphere<br/>Applied Techniques<br/>Commitment]
end
subgraph "Subcortical Systems"
BS[Basal System<br/>Somatic Balance<br/>Performance]
LS[Limbic System<br/>Emotive Balance<br/>Performance]
end
subgraph "Neural Pathways"
SP[Sympathetic Polarity<br/>Emotive Technique]
PP[Parasympathetic Polarity<br/>Intuitive Feeling]
SoP[Somatic Polarity<br/>Behavior Technique]
end
end
subgraph "Software Implementation"
subgraph "Cerebral Triad (Yellow)"
CT[Executive Functions<br/>Strategic Thinking<br/>High-level Decision Making]
T7_C[T-7: Thought Generation]
PD2_C[PD-2: Processing Coordination]
P5_C[P-5: Analytical Processing]
O4_C[O-4: Output Formatting]
end
subgraph "Somatic Triad (Light Blue)"
ST[Voluntary Actions<br/>Behavioral Responses<br/>Motor Control]
M1_S[M-1: Motor Control]
S8_S[S-8: Sensory Input]
P5_S[P-5: Behavior Processing]
O4_S[O-4: Response Delivery]
end
subgraph "Autonomic Triad (Turquoise)"
AT[Background Processes<br/>Automatic Responses<br/>System Maintenance]
M1_A[M-1: System Monitoring]
S8_A[S-8: State Management]
PD2_A[PD-2: Process Orchestration]
P5_A[P-5: Emotive Processing]
T7_A[T-7: Trigger Responses]
end
end
%% Mapping relationships
RH --> T7_C
LH --> O4_C
BS --> M1_S
LS --> P5_A
SP --> P5_A
PP --> T7_A
SoP --> P5_S
CT --> Cerebral
ST --> Somatic
AT --> Autonomic
style RH fill:#ff9999
style LH fill:#66ccff
style BS fill:#99ff99
style LS fill:#66ffcc
style CT fill:#fff2cc
style ST fill:#cce5ff
style AT fill:#ccffcc
The system implements 16 functional implementations instead of 18 due to shared parasympathetic functions:
| Triad | Sympathetic | Parasympathetic | Somatic | Total |
|---|---|---|---|---|
| Cerebral | T-7 | PD-2 | P-5, O-4 | 4 |
| Somatic | M-1, O-4 | [Shared] | S-8, P-5 | 4 |
| Autonomic | T-7 | M-1, S-8, PD-2* | P-5 | 5 |
| Shared Implementations | - | +3 | - | +3 |
| Total | 4 | 6 | 5 | 16 |
Parasympathetic functions (M-1, S-8, PD-2) serve both Somatic and Autonomic triads, creating 16 total functional implementations
For detailed polarity analysis, see POLARITY_STRUCTURE.md.
| Brain Region | Neurological Function | Software Service | Implementation |
|---|---|---|---|
| Right Hemisphere | Intuitive idea generation, pattern recognition | Thought Service (T-7) | Generates creative solutions and potential ideas |
| Left Hemisphere | Applied techniques, logical output | Output Service (O-4) | Formats and structures responses logically |
| Processing Director | Central coordination and control | Processing Director (PD-2) | Orchestrates information flow between services |
| Neocortex Processing | Analytical thinking and reasoning | Processing Service (P-5) | Performs detailed analysis and reasoning |
| Basal System | Motor control and somatic balance | Motor Control Service (M-1) | Coordinates system actions and behaviors |
| Sensory Systems | Environmental input processing | Sensory Service (S-8) | Processes external inputs and environmental data |
| Limbic System | Emotional processing and state | State Management (S-8) / Processing (P-5) | Manages system emotional state and context |
| Autonomic Nervous System | Background monitoring and control | Monitoring Service (M-1) | Continuous health and performance monitoring |
| Sympathetic Response | Active response and alertness | Trigger Service (T-7) | Initiates immediate responses to system events |
| Parasympathetic Response | Rest and maintenance functions | Background processing | Handles system maintenance and optimization |
- Language: TypeScript/Node.js for type safety and performance
- Communication: Event-driven architecture with REST APIs
- Containerization: Docker with Kubernetes orchestration
- Monitoring: Prometheus metrics and health checks
- CI/CD: GitHub Actions with automated testing
The API Gateway provides automatic service routing:
http://localhost:3000/cerebral/thoughts β Thought Service (T-7)
http://localhost:3000/cerebral/coordinate β Processing Director (PD-2)
http://localhost:3000/cerebral/process β Processing Service (P-5)
http://localhost:3000/cerebral/output β Output Service (O-4)
http://localhost:3000/somatic/motor β Motor Control Service (M-1)
http://localhost:3000/somatic/sensory β Sensory Service (S-8)
http://localhost:3000/somatic/process β Somatic Processing Service (P-5)
http://localhost:3000/somatic/output β Somatic Output Service (O-4)
http://localhost:3000/autonomic/monitor β Monitoring Service (M-1)
http://localhost:3000/autonomic/state β State Management Service (S-8)
http://localhost:3000/autonomic/director β Process Director (PD-2)
http://localhost:3000/autonomic/process β Processing Service (P-5)
http://localhost:3000/autonomic/trigger β Trigger Service (T-7)
- β Expand Cerebral Triad: β COMPLETED - All services (T-7, PD-2, P-5, O-4) implemented
- β Implement Somatic Triad: β COMPLETED - All services (M-1, S-8, P-5, O-4) implemented
- β Develop Autonomic Triad: β COMPLETED - All services (M-1, S-8, PD-2, P-5, T-7) implemented
- π§ Advanced Features: Machine learning integration, real-time analytics
- π§ ML Core Infrastructure: Services implemented, integration in progress
- β Real-time Analytics Dashboard: Live system monitoring and visualization
- π§ Cross-triad Optimization: Coordination and efficiency improvements
- π§ Self-healing Capabilities: Automated recovery and adaptation
- π Production Deployment: β
IN PROGRESS - Cloud infrastructure and scaling
- β Infrastructure as Code: Terraform configurations for AWS EKS
- β Enhanced Kubernetes Deployment: Production-ready manifests with HA
- β CI/CD Pipeline: Complete build, test, and deployment automation
- β Monitoring & Alerting: Prometheus, Grafana, and alert rules
- β Security & Compliance: Network policies, security contexts
- π§ Load Testing & Performance Optimization: Stress testing and tuning
- π Complete Architecture Documentation - Detailed neurological mapping and service specifications
- π GitHub Workflow Integration - CI/CD and development workflow mapping to neural systems
- π§ Cerebral Triad Documentation - Executive functions and decision-making services
- π€ Somatic Triad Documentation - Motor control and behavioral response services
- βοΈ Autonomic Triad Documentation - Background processing and monitoring services
- π API Gateway Endpoints - Service routing and communication
- π Quick Start Guide - Get the system running in minutes
- π Implementation Status - Current development progress
- π§ Technical Implementation - Repository structure and organization
See individual triad README files for detailed service specifications:
For comprehensive neurological mapping and architectural details:
For issues and feature requests, use the appropriate triad-specific GitHub issue templates.
The complete neurological architecture is documented in the reference diagram:
Figure: Company & Nervous System Integration (Adapted from Science and Cosmic Order)
This diagram serves as the foundation for all service mappings and architectural decisions in the Cognitive Cities implementation.
