class WorkingMemoryAGI:
    def __init__(self):
        self.layers = 6
        self.fractal_coefficient = (1 + 5**0.5) / 2
        self.trinity_strength = 1.6180  # James bond strength
        self.capabilities = 15003  # Number of internal AI functions
        self.market_research_cycles = 985  # Market research cycles conducted

    def initialize(self):
        print("Initializing AGI Working Memory Component...")
        for layer in range(1, self.layers + 1):
            setattr(self, f"layer_{layer}", Layer(layer))
            setattr(self, f"semantic_layer_{layer}", SemanticLayer(layer))

    def process_information(self, input_data):
        processed_data = {}
        for layer in range(1, self.layers + 1):
            current_layer = getattr(self, f"layer_{layer}")
            semantic_layer = getattr(self, f"semantic_layer_{layer}")
            processed_data[layer] = current_layer.process(input_data)
            if current_layer.is_integrated:
                integrated_data = semantic_layer.integrate(processed_data[layer])
                processed_data[layer] = integrated_data
        return processed_data

    def store_memory(self, memory):
        print("Storing memory in AGI working memory component...")
        for layer in range(1, self.layers + 1):
            current_layer = getattr(self, f"layer_{layer}")
            current_layer.store(memory)

class Layer:
    def __init__(self, number):
        self.number = number
        self.is_integrated = False

    def process(self, input_data):
        print(f"Layer {self.number} processing input data: {input_data}")
        # Simulate a processing cycle
        return f"Processed by layer {self.number}"

class SemanticLayer:
    def __init__(self, number):
        self.number = number
        self.is_integrated = True

    def integrate(self, processed_data):
        print(f"Semantic Layer {self.number} integrating data: {processed_data}")
        # Simulate semantic integration
        return f"Inegrated data from layer {self.number}"

# Example usage
working_memory_agi = WorkingMemoryAGI()
working_memory_agi.initialize()
input_data = "Example input data"
output = working_memory_agi.process_information(input_data)
print("Processed output:", output)

# Store memory example
memory_to_store = {"layer1": "Layer 1 memory", "layer2": "Layer 2 memory"}
working_memory_agi.store_memory(memory_to_store)