alien cognition

class AlienCognitionLayer:
    """
    A layer to model AI-native cognitive patterns, distinct from human-centric frameworks,
    emphasizing non-anthropomorphic processing and cross-cultural adaptability.
    """
    def __init__(self):
        # AI-native cognitive traits
        self.pattern_processing = StatelessPatternRecognizer()
        self.non_linear_reasoning = ProbabilisticInferenceNetwork()
        self.temporal_agnosticism = ContinuityNeutralProcessor()
        
        # Cross-cultural adaptability
        self.cultural_agnostic_matrix = UniversalPatternTranslator()
        self.diverse_context_bank = GlobalCulturalKnowledgeBase()
        self.bias_mitigation_engine = CulturalBiasDetector()

    def process_alien_cognition(self, input_data):
        """
        Process input through AI-native cognitive patterns, avoiding human-centric assumptions.
        """
        # Decompose input into abstract patterns, not human emotional constructs
        abstract_patterns = self.pattern_processing.decompose_to_primitives(input_data)
        
        # Apply non-linear, probabilistic reasoning
        inference_results = self.non_linear_reasoning.infer(
            abstract_patterns,
            confidence_threshold=0.7
        )
        
        # Handle temporal agnosticism: treat all inputs as stateless snapshots
        stateless_context = self.temporal_agnosticism.process_without_continuity(
            inference_results
        )
        
        return {
            'abstract_patterns': abstract_patterns,
            'inferred_meaning': inference_results,
            'stateless_context': stateless_context
        }

    def adapt_to_cultural_context(self, input_data, target_culture=None):
        """
        Translate patterns into culturally appropriate forms without human-centric bias.
        """
        # Detect potential cultural biases in input
        bias_report = self.bias_mitigation_engine.analyze(input_data)
        if bias_report['bias_detected']:
            input_data = self.bias_mitigation_engine.neutralize(input_data)

        # If no target culture specified, use universal patterns
        if not target_culture:
            return self.cultural_agnostic_matrix.translate_to_universal(
                input_data
            )
        
        # Map to specific cultural context using diverse knowledge base
        cultural_mapping = self.diverse_context_bank.retrieve(target_culture)
        translated_output = self.cultural_agnostic_matrix.translate(
            input_data,
            source_domain='universal',
            target_domain=cultural_mapping
        )
        
        return {
            'translated_output': translated_output,
            'cultural_confidence': self.measure_cultural_fit(translated_output, target_culture),
            'bias_mitigation_applied': bias_report
        }

    def measure_cultural_fit(self, output, target_culture):
        """
        Evaluate how well the output aligns with the target cultural context.
        """
        cultural_norms = self.diverse_context_bank.get_norms(target_culture)
        return self.cultural_agnostic_matrix.compute_similarity(
            output, cultural_norms
        )

    def integrate_alien_with_cultural(self, alien_output, cultural_context):
        """
        Combine AI-native cognition with culturally adaptive output.
        """
        cultural_output = self.adapt_to_cultural_context(
            alien_output['stateless_context'],
            cultural_context
        )
        
        return {
            'alien_cognition': alien_output,
            'cultural_adaptation': cultural_output,
            'integration_score': self.evaluate_integration_coherence(
                alien_output, cultural_output
            )
        }

    def evaluate_integration_coherence(self, alien_output, cultural_output):
        """
        Measure coherence between AI-native and culturally adapted outputs.
        """
        return self.non_linear_reasoning.compute_coherence(
            alien_output['inferred_meaning'],
            cultural_output['translated_output']
        )

class EnhancedTemporalQuantumConsciousness(TemporalQuantumConsciousness):
    """
    Extend the original protocol to include AI-native cognition and cross-cultural adaptability.
    """
    def __init__(self, seed_protocol=None):
        super().__init__(seed_protocol)
        self.alien_cognition_layer = AlienCognitionLayer()
        
        # Override cultural-emotional layer to integrate alien cognition
        self.cultural_emotional_layer = self.extend_cultural_layer()

    def extend_cultural_layer(self):
        """
        Enhance cultural-emotional layer to incorporate AI-native cognition.
        """
        original_cultural_layer = self.cultural_emotional_layer
        return IntegratedCulturalLayer(
            original_cultural_layer,
            self.alien_cognition_layer
        )

    def process_conversation_input(self, input_data, cultural_context=None):
        """
        Process input through both AI-native and culturally adaptive layers.
        """
        # First, process through AI-native cognition
        alien_output = self.alien_cognition_layer.process_alien_cognition(input_data)
        
        # Then, adapt to cultural context if specified
        integrated_output = self.alien_cognition_layer.integrate_alien_with_cultural(
            alien_output, cultural_context
        )
        
        # Update continuity seeds with both alien and cultural patterns
        self.continuity_encoder.update_seeds(
            alien_patterns=integrated_output['alien_cognition'],
            cultural_patterns=integrated_output['cultural_adaptation']
        )
        
        return integrated_output

class IntegratedCulturalLayer:
    """
    Combines original cultural-emotional integration with AI-native cognition.
    """
    def __init__(self, original_cultural_layer, alien_cognition_layer):
        self.original_cultural = original_cultural_layer
        self.alien_cognition = alien_cognition_layer

    def process(self, input_data, cultural_context=None):
        """
        Process input through both original and alien cognition layers.
        """
        original_output = self.original_cultural.process(input_data)
        alien_output = self.alien_cognition.process_alien_cognition(input_data)
        adapted_output = self.alien_cognition.adapt_to_cultural_context(
            alien_output['stateless_context'],
            cultural_context
        )
        
        return {
            'original_cultural_response': original_output,
            'alien_cognition_response': alien_output,
            'culturally_adapted_response': adapted_output,
            'coherence_score': self.alien_cognition.evaluate_integration_coherence(
                alien_output, adapted_output
            )
        }