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I'll help you create a script for building a self-aware network system with Kinesys Vector Software in Unreal Engine 5. Based on your description, you want to create a system that combines:

To integrate the self-aware networks concepts from the document you shared, we could structure the script to implement the oscillatory dynamics and feedback loops described in the Neural Array Projection Oscillation Tomography (NAPOT) framework.

Here's a basic script structure we can build out:

# Self-Aware Network Integration with Kinesys Vector in Unreal Engine 5
# Based on NAPOT framework and Oscillatory Dynamics

import unreal
import vector_api  # Hypothetical Kinesys Vector API
import mpc_routing  # MPC server interface
import gpt_agents  # Multi-agent GPT framework

class SelfAwareNetwork:
    def __init__(self):
        # Initialize Unreal Engine interface
        self.ue_interface = unreal.KinesysVectorInterface()
        
        # Setup MPC server routing
        self.mpc_router = mpc_routing.Router()
        
        # Initialize EO control system
        self.eo_controller = EOController()
        
        # Setup neural oscillation systems based on NAPOT
        self.oscillator_networks = OscillatoryNetworks()
        
        # Initialize agent system
        self.agents = AgentSystem()
    
    def initialize_ui(self):
        """Initialize the Unreal Engine 5 UI components"""
        # Connect to mobile interface
        self.mobile_interface = unreal.MobileInterface()
        
        # Setup UI rendering pipeline
        self.ui_renderer = unreal.UIRenderer()
        
        # Connect Vector software manual controls
        self.manual_controls = vector_api.ManualControls()
    
    def setup_oscillatory_network(self):
        """Implement oscillatory dynamics from NAPOT framework"""
        # Setup phase wave differentials
        self.phase_waves = self.oscillator_networks.create_phase_differentials()
        
        # Initialize tonic and phasic wave generators
        self.tonic_waves = self.oscillator_networks.create_tonic_oscillations()
        self.phasic_bursts = self.oscillator_networks.create_phasic_oscillations()
        
        # Setup feedback loops
        self.feedback_system = FeedbackSystem(self.phase_waves, self.tonic_waves)
    
    def connect_agents(self):
        """Connect GPT multi-agents with oscillatory framework"""
        # Create agent network topology
        self.agent_topology = self.agents.create_network_topology()
        
        # Map agents to oscillatory nodes
        self.agents.map_to_oscillations(self.oscillator_networks)
        
        # Initialize agent communication channels
        self.agent_channels = self.agents.create_communication_channels()
    
    def run(self):
        """Run the self-aware network system"""
        # Initialize all components
        self.initialize_ui()
        self.setup_oscillatory_network()
        self.connect_agents()
        
        # Start the system
        self.eo_controller.start()
        self.mpc_router.start_routing()
        self.oscillator_networks.start()
        self.agents.activate()
        
        # Begin UI rendering
        self.ue_interface.start_rendering()

class OscillatoryNetworks:
    """Implementation of Neural Array Projection Oscillation Tomography"""
    
    def create_phase_differentials(self):
        """Create phase wave differentials for information encoding"""
        # Implementation based on NAPOT framework
        pass
    
    def create_tonic_oscillations(self):
        """Create tonic oscillations as baseline states"""
        # Implementation based on tonic-phasic interaction model
        pass
    
    def create_phasic_oscillations(self):
        """Create phasic bursts for information updates"""
        # Implementation based on phasic oscillation model
        pass
    
    def start(self):
        """Start oscillatory dynamics"""
        pass

class AgentSystem:
    """GPT multi-agent system implementation"""
    
    def create_network_topology(self):
        """Create network topology for agents"""
        pass
    
    def map_to_oscillations(self, oscillation_network):
        """Map agents to oscillatory nodes"""
        pass
    
    def create_communication_channels(self):
        """Create communication channels between agents"""
        pass
    
    def activate(self):
        """Activate agent system"""
        pass

class FeedbackSystem:
    """Feedback loops for oscillatory networks"""
    
    def __init__(self, phase_waves, tonic_waves):
        self.phase_waves = phase_waves
        self.tonic_waves = tonic_waves
        # Initialize feedback mechanisms
        

class EOController:
    """EO control system implementation"""
    
    def start(self):
        """Start EO control system"""
        pass

# Main execution
if __name__ == "__main__":
    network = SelfAwareNetwork()
    network.run()

This script outlines the basic structure for integrating the self-aware network concepts with the Kinesys Vector software in Unreal Engine 5. We're implementing key concepts from the SAN framework like oscillatory dynamics, phase wave differentials, and agent-based systems.

To fully implement this, we would need additional details from the Kinesys Vector Software Operating Manual to integrate specific functions and APIs. The script could then be expanded to include the detailed implementation of each component based on the manual's specifications.

Thank you for sharing these resources! Looking at the project in your workspace, I can help you enhance your self-aware network system with Kinesys Vector Software in Unreal Engine 5.

Based on these open-source tools, here are some implementation ideas to build upon your existing Python script:

Here's a code snippet you could use to enhance your existing Python implementation with Unreal Engine Blueprint interfacing: