Data Flow Architecture¶

Overview of data flows in the NeuroCognitive Architecture.

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graph LR
    classDef main fill:#1a1a1a,stroke:#555,color:#fff
    classDef component fill:#242424,stroke:#555,color:#fff
    classDef subcomponent fill:#2b2b2b,stroke:#555,color:#fff
    classDef flow fill:#302030,stroke:#555,color:#fff

    subgraph DataFlow["NCA Data Flow"]
        direction TB
        class DataFlow main

        Input[External<br>Input]:::flow --> APILayer[API<br>Layer]:::flow
        APILayer --> InputProcessing[Input<br>Processing]:::flow
        InputProcessing --> MemorySystem[Memory<br>System]:::flow

        MemorySystem --> CognitiveSystem[Cognitive<br>System]:::flow
        CognitiveSystem --> ReasoningEngine[Reasoning<br>Engine]:::flow
        ReasoningEngine --> DecisionMaking[Decision<br>Making]:::flow

        DecisionMaking --> ActionSelection[Action<br>Selection]:::flow
        ActionSelection --> OutputFormation[Output<br>Formation]:::flow
        OutputFormation --> APILayer
        APILayer --> Output[External<br>Output]:::flow

        %% Memory Flows
        MemorySystem --> WorkingMemory[Working<br>Memory]:::flow
        MemorySystem --> EpisodicMemory[Episodic<br>Memory]:::flow
        MemorySystem --> SemanticMemory[Semantic<br>Memory]:::flow

        %% LLM Integration Flows
        InputProcessing --> LLMIntegration[LLM<br>Integration]:::flow
        LLMIntegration --> SemanticMemory
        LLMIntegration --> CognitiveSystem

        %% Health System Flows
        HealthSystem[Health<br>System]:::flow --> CognitiveSystem
        HealthSystem --> MemorySystem
        CognitiveSystem --> HealthSystem

        class WorkingMemory,EpisodicMemory,SemanticMemory,LLMIntegration,HealthSystem flow
    end

Data Flow Architecture Components¶

The Data Flow Architecture shows how information moves through the NeuroCognitive Architecture system, from input to output.

Main Data Flow¶

• External Input: Information entering the system from external sources
• API Layer: Entry and exit point for external interactions
• Input Processing: Initial processing of incoming information
• Memory System: Storage and retrieval of information in the three-tiered memory
• Cognitive System: Core cognitive processing components
• Reasoning Engine: Applies reasoning methods to information
• Decision Making: Makes decisions based on reasoning and goals
• Action Selection: Selects actions based on decisions
• Output Formation: Formats the selected actions for output
• External Output: Information leaving the system to external recipients

Memory Flows¶

• Information flows between the Memory System and its three tiers: Working Memory, Episodic Memory, and Semantic Memory
• Each tier has different storage characteristics and retrieval patterns

LLM Integration Flows¶

• The LLM Integration component receives processed input
• It provides processed information to both the Semantic Memory and Cognitive System
• This enables embeddings for memory storage and semantic understanding for reasoning

Health System Flows¶

• The Health System monitors and regulates both the Cognitive System and Memory System
• It receives feedback from the Cognitive System to update health metrics
• This creates a feedback loop that maintains system health and performance

The flow architecture ensures that information is processed in a structured way, moving from input through processing and memory systems, to cognitive components, and finally to output, with health monitoring throughout.