Limbic-Cortex Hybrid Architecture: Where Biological Neuroscience Meets Deep Reinforcement Learning

The current era of artificial intelligence stands before a silent crisis of scale and performance. We are attempting to achieve ‘Intelligence’ by pouring in billions of parameters, millions of neural layers, and consuming megawatts of power. In the natural world, an agent with only a few grams of neural matter possesses adaptability, learning, and survival capabilities that far exceed the most complex artificial systems. This gap lies not in computational speed, but in fundamental architecture. The**Emotional-Agent** project was born not to race in parameter counts, but to seek a true balance between biological memory and decision-making speed.