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Self-Organizing Narrative Agent System (SONAS)

Overview

SONAS is an emergent narrative ecosystem built on a Entity Component System (ECS) architecture, enabling dynamic agent creation, self-regulation, and collaborative storytelling. The system allows for autonomous agent spawning, relationship formation, and coherent narrative development through distributed yet coordinated agent actions.

Core Architecture

graph TD
    %% Styling
    classDef system fill:#2C3E50,stroke:#2C3E50,color:#ECF0F1
    classDef component fill:#2980B9,stroke:#2980B9,color:#ECF0F1
    classDef state fill:#27AE60,stroke:#27AE60,color:#ECF0F1
    classDef action fill:#8E44AD,stroke:#8E44AD,color:#ECF0F1

    %% World State
    subgraph WorldState[World State Management]
        World[World]:::state
        World --> ResourceManager[Resource Manager]:::state
        World --> NarrativeState[Narrative State]:::state
        World --> PopulationState[Population State]:::state
    end

    %% Core Systems
    subgraph Systems[Core Systems]
        direction LR
        SpawningSystem[Spawning System]:::system
        NarrativeSystem[Narrative System]:::system
        RelationshipSystem[Relationship System]:::system
        ResourceSystem[Resource System]:::system
        GoalSystem[Goal System]:::system
        MetaSystem[Meta System]:::system
    end

    %% Agent Components
    subgraph Components[Agent Components]
        direction LR
        Agent[Agent]:::component
        Spawner[Spawner]:::component
        MetaAgent[MetaAgent]:::component
        Relationship[Relationship]:::component
        Narrative[Narrative]:::component
        Goal[Goal]:::component
        Memory[Memory]:::component
    end

    %% Action Tools
    subgraph Actions[Action Tools]
        direction LR
        AgentSpawning[Agent Spawning]:::action
        RelationshipFormation[Relationship Formation]:::action
        GoalSetting[Goal Setting]:::action
        StoryCreation[Story Creation]:::action
        WorldModification[World Modification]:::action
    end

    %% Connections
    Systems --> World
    Agent --> Spawner & MetaAgent & Relationship & Narrative & Goal & Memory
    World --> Agent
    Agent --> Actions

    %% System Specific Connections
    SpawningSystem -.-> Spawner
    NarrativeSystem -.-> Narrative
    RelationshipSystem -.-> Relationship
    GoalSystem -.-> Goal
    MetaSystem -.-> MetaAgent
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Agent Cognitive Architecture

graph TB
    %% Styling
    classDef input fill:#2ECC71,stroke:#27AE60,color:#FFF
    classDef memory fill:#3498DB,stroke:#2980B9,color:#FFF
    classDef process fill:#E74C3C,stroke:#C0392B,color:#FFF
    classDef output fill:#9B59B6,stroke:#8E44AD,color:#FFF
    classDef state fill:#F1C40F,stroke:#F39C12,color:#FFF

    %% Input Layer
    subgraph Inputs[Sensory & Context]
        direction TB
        Stimuli[External Stimuli]:::input
        Context[Context]:::input
        Goals[Goals]:::input
    end

    %% Memory Layer
    subgraph Memory[Memory Systems]
        direction TB
        WorkingMem[Working Memory]:::memory
        EpisodicMem[Episodic]:::memory
        SemanticMem[Semantic]:::memory
        ProceduralMem[Procedural]:::memory
    end

    %% Core Processing
    subgraph Processing[Core Processing]
        direction TB
        Perception[Perception]:::process
        Attention[Attention]:::process

        subgraph Cognitive[Cognitive Functions]
            Planning[Planning]:::process
            Reasoning[Reasoning]:::process
            Decision[Decision Making]:::process
        end

        subgraph State[Internal State]
            Emotion[Emotional Core]:::state
            Beliefs[Belief System]:::state
        end
    end

    %% Output Layer
    subgraph Outputs[Action Generation]
        direction TB
        Action[Action Selection]:::output
        Response[Response Gen]:::output
        Behavior[Behavior Mod]:::output
    end

    %% Main Flow
    Inputs --> Perception
    Perception --> Attention
    Attention --> Cognitive
    Cognitive --> Outputs

    %% Memory Connections
    Memory <--> Cognitive
    WorkingMem <--> Attention
    Memory <--> Perception

    %% State Influences
    State <--> Cognitive
    Emotion --> Action
    Beliefs --> Decision

    %% Feedback
    Outputs -.-> Context
    Cognitive -.-> WorkingMem
    Perception -.-> EpisodicMem
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System Components

1. Core Components

  • Spawner: Controls agent creation capabilities

    • Spawn permissions
    • Resource requirements
    • Template management
    • Lifecycle hooks

  • MetaAgent: System oversight and regulation

    • Health monitoring
    • Resource utilization
    • Performance metrics
    • System adjustment

  • Relationship: Inter-agent connections

    • Relationship types
    • Connection strength
    • Interaction history
    • Influence metrics

  • Narrative: Story tracking

    • Plot points
    • Character arcs
    • Themes
    • Story state

  • Goal: Shared objectives

    • Goal hierarchy
    • Progress tracking
    • Priority levels
    • Success criteria

2. Core Systems

SpawningSystem

  • Agent creation/destruction management
  • Resource allocation
  • Population control
  • Template instantiation

NarrativeSystem

  • Story coherence maintenance
  • Plot development
  • Character arc tracking
  • Theme management

RelationshipSystem

  • Connection formation/dissolution
  • Interaction management
  • Network effects
  • Influence propagation

ResourceSystem

  • Compute allocation
  • Memory management
  • Performance optimization
  • Resource distribution

GoalAlignmentSystem

  • Objective coordination
  • Progress tracking
  • Priority management
  • Conflict resolution

MetaSystem

  • System health monitoring
  • Performance optimization
  • Emergency interventions
  • System adaptation

Memory Architecture

Hierarchical Structure

  1. Individual Memory

    • Personal experiences
    • Action history
    • Relationship data
    • Goal progress

  2. Shared Memory

    • Collective experiences
    • Common knowledge
    • Shared goals
    • Group narratives

  3. System Memory

    • Global state
    • Resource allocation
    • Population metrics
    • Performance data

Implementation Tasks

Phase 1: Foundation

  • Implement enhanced Agent Factory
  • Create core new components (Spawner, MetaAgent, etc.)
  • Develop basic memory hierarchy
  • Set up resource tracking system

Phase 2: Core Systems

  • Implement SpawningSystem
  • Develop NarrativeSystem
  • Create RelationshipSystem
  • Build ResourceSystem
  • Implement GoalAlignmentSystem
  • Develop MetaSystem

Phase 3: Actions & Tools

  • Create agent spawning actions
  • Implement relationship formation tools
  • Develop goal management tools
  • Build narrative creation tools
  • Implement world state modification tools

Phase 4: Coordination

  • Develop message passing system
  • Implement consensus mechanisms
  • Create resource negotiation
  • Build priority resolution system
  • Implement narrative conflict resolution

Phase 5: Testing & Optimization

  • Develop performance metrics
  • Create system health monitoring
  • Implement stress testing
  • Optimize resource usage
  • Fine-tune narrative coherence

Technical Considerations

Performance

  • Efficient ECS implementation
  • Optimized memory management
  • Scalable agent population
  • Resource-aware spawning

Stability

  • Error handling
  • System recovery
  • State persistence
  • Backup mechanisms

Extensibility

  • Plugin architecture
  • Custom components
  • Action tool expansion
  • System hooks

Future Enhancements

Advanced Features

  • Multi-narrative threading
  • Dynamic world generation
  • Emotional simulation
  • Learning from interactions
  • Advanced story patterns

Integration Possibilities

  • External AI services
  • Content generation tools
  • User interfaces
  • Analytics systems
  • Export capabilities

Success Metrics

System Health

  • Resource utilization
  • Response times
  • Error rates
  • Population stability

Narrative Quality

  • Story coherence
  • Character development
  • Plot progression
  • Theme consistency

Agent Performance

  • Goal completion
  • Relationship quality
  • Spawn success rate
  • Action effectiveness
graph TD
    subgraph "Meta-Engine Layer"
        Dev[Developer Agents] --> Engine[Engine Evolution]
        Dev --> Components[Component Creation]
        Dev --> Actions[Action Development]
        Dev --> Systems[System Enhancement]
    end

    subgraph "Production Studio"
        Director[Director Agents] --> Story[Story Development]
        Writer[Writer Agents] --> Content[Content Creation]
        Designer[Designer Agents] --> Assets[Asset Generation]
        Tech[Technical Agents] --> Platform[Platform Integration]
    end

    subgraph "Reality Layer"
        Actor[Actor Agents] --> Social[Social Media]
        NPC[NPC Agents] --> World[World Interaction]
        Support[Support Agents] --> Engagement[User Engagement]
    end
    ```
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