The AGI Core Architecture is implemented in the Zen programming language, which provides powerful metaprogramming capabilities. This allows for dynamic expansion and adaptation of the AGI system's capabilities.
module agi {
fn general_intelligence_kernel() {
// Kernel functions
}
mod ethics {
// Ethical safeguard functions
}
mod zen_integration {
// Zen language integration
}
}
fn main() {
// AGI system initialization and operation
}
This module implements quantum encoding, holographic transformations, and cognitive processing using quantum circuits and holographic memory.
class QuantumHolographicCognition:
def __init__(self, num_qubits, hologram_size):
# Initialize quantum circuit and holographic memory
def quantum_encode(self, data):
# Encode classical data into quantum states
def quantum_holographic_transform(self):
# Apply quantum Fourier transform
def cognitive_process(self, input_data, context_key):
# Perform quantum holographic cognitive processing
This system regulates cognitive processes, optimizes resource allocation, and selects appropriate cognitive strategies based on task complexity and cognitive load.
class MetacognitiveControlSystem:
def __init__(self):
# Initialize metacognitive parameters
def assess_cognitive_state(self, task_input):
# Evaluate current cognitive state
def optimize_resource_allocation(self):
# Adjust resource allocation based on task demands
def select_cognitive_strategy(self):
# Choose appropriate strategy for the current task
def regulate_cognitive_processes(self, task_input):
# Orchestrate metacognitive control
This architecture combines advanced AI concepts such as quantum computing, holographic memory, and metacognition to create a powerful and adaptable AGI system. The integration of ethical safeguards and the use of the Zen programming language's metaprogramming features ensure that the system can evolve safely and efficiently.
For more information on the Zen AGI project and to explore the full capabilities of this system, please visit: