NSCR planning: NeuralNetworkEngine and IntegrationEngine about symbolicreasoningengine HOT 1 OPEN

trait SymbolicIntegration {
    fn send_symbolic_data(&self, data: &SymbolicData);
    fn receive_neural_output(&self, output: &NeuralOutput);
}

trait NeuralIntegration {
    fn send_neural_data(&self, data: &NeuralData);
    fn receive_symbolic_output(&self, output: &SymbolicOutput);
}

struct SymbolicReasoningEngine {
    // ... existing fields

    // Integration Layer reference
    integration_layer: Box<dyn SymbolicIntegration>,
}

impl SymbolicReasoningEngine {
    pub fn new(integration_layer: Box<dyn SymbolicIntegration>) -> Self {
        SymbolicReasoningEngine {
            // ... initialize other fields
            integration_layer,
        }
    }

    pub fn process_neural_output(&self, output: &NeuralOutput) {
        // Process neural network output and update the reasoning engine state
        // ...
    }
}

struct IntegrationLayer;

impl SymbolicIntegration for IntegrationLayer {
    fn send_symbolic_data(&self, data: &SymbolicData) {
        // Send symbolic data to the Neural Network Engine
        // ...
    }

    fn receive_neural_output(&self, output: &NeuralOutput) {
        // Receive neural network output and forward it to the SymbolicReasoningEngine
        // ...
    }
}

impl NeuralIntegration for IntegrationLayer {
    fn send_neural_data(&self, data: &NeuralData) {
        // Send neural data to the SymbolicReasoningEngine
        // ...
    }

    fn receive_symbolic_output(&self, output: &SymbolicOutput) {
        // Receive symbolic output and forward it to the Neural Network Engine
        // ...
    }
}

struct NeuralNetworkEngine {
    // ... other fields

    // Integration Layer reference
    integration_layer: Box<dyn NeuralIntegration>,
}

impl NeuralNetworkEngine {
    pub fn new(integration_layer: Box<dyn NeuralIntegration>) -> Self {
        NeuralNetworkEngine {
            // ... initialize other fields
            integration_layer,
        }
    }

    pub fn process_symbolic_output(&self, output: &SymbolicOutput) {
        // Process symbolic output and update the neural network engine state
        // ...
    }
}

struct NSCRFramework {
    symbolic_reasoning_engine: SymbolicReasoningEngine,
    neural_network_engine: NeuralNetworkEngine,
    integration_layer: IntegrationLayer,
}

impl NSCRFramework {
    pub fn new() -> Self {
        // Initialize instances of SymbolicReasoningEngine, NeuralNetworkEngine, and IntegrationLayer
        let integration_layer = Box

::new(IntegrationLayer);
        let symbolic_reasoning_engine = SymbolicReasoningEngine::new(integration_layer.clone());
        let neural_network_engine = NeuralNetworkEngine::new(integration_layer);

        NSCRFramework {
            symbolic_reasoning_engine,
            neural_network_engine,
            integration_layer,
        }
    }
}