from typing import Dict, Any, List
import torch
import torch.nn as nn

class TheoryOfMind:
    def __init__(self):
        self.mental_state_model = nn.Sequential(
            nn.Linear(768, 256),
            nn.ReLU(),
            nn.Linear(256, 128)
        )
        self.belief_system = {}
        
    def model_agent_mind(self,
                        agent_data: Dict[str, Any],
                        context: Dict[str, Any] = None) -> Dict[str, Any]:
        # Theory of Mind implementation
        mental_state = self._process_mental_state(agent_data)
        beliefs = self._update_belief_system(mental_state, context)
        
        return {
            'mental_state': mental_state,
            'beliefs': beliefs,
            'predicted_behavior': self._predict_behavior(mental_state, beliefs)
        }
        
    def _process_mental_state(self, agent_data: Dict[str, Any]):
        # Mental state processing implementation
        pass
        
    def _update_belief_system(self, mental_state: Any, context: Dict[str, Any] = None):
        # Belief system update implementation
        pass
        
    def _predict_behavior(self, mental_state: Any, beliefs: Dict[str, Any]):
        # Behavior prediction implementation
        pass