src/model/him_model.py

import torch
import torch.nn as nn
from typing import Dict, Any
from ..core.consciousness_kernel import ConsciousnessKernel
from ..core.emotional_intelligence import EmotionalProcessor
from ..core.theory_of_mind import TheoryOfMind
from ..core.semiotic_processor import SemioticProcessor

class HIMModel(nn.Module):
    def __init__(self, config: Dict[str, Any]):
        super().__init__()
        self.config = config
        self.consciousness_kernel = ConsciousnessKernel()
        self.emotional_processor = EmotionalProcessor()
        self.theory_of_mind = TheoryOfMind()
        self.semiotic_processor = SemioticProcessor()
        
    def generate_response(self, input_data: Dict[str, Any]) -> Dict[str, Any]:
        consciousness_state = self.consciousness_kernel.process_consciousness_cycle(input_data)
        emotional_context = self.emotional_processor.process_emotional_context(input_data)
        social_understanding = self.theory_of_mind.model_agent_mind(input_data)
        semiotic_analysis = self.semiotic_processor.process_signs(input_data)
        
        return self._integrate_outputs(
            consciousness_state,
            emotional_context,
            social_understanding,
            semiotic_analysis
        )
        
    def _integrate_outputs(self, *states) -> Dict[str, Any]:
        # Integration implementation
        return {
            "response": "Integrated response based on multiple processing layers",
            "consciousness_state": states[0],
            "emotional_context": states[1],
            "social_understanding": states[2],
            "semiotic_analysis": states[3]
        }