Developmental Networks

Developmental Networks are a type of artificial intelligence modeled after how humans learn. Instead of programming specific rules, they grow their abilities by exploring data, adjusting connections automatically. Like a child learns by experience, these networks develop skills through practice, gradually improving over time. They can learn complex tasks such as recognizing images or understanding language without explicit instructions, enabling more flexible and adaptable AI systems. This approach aims to create machines that develop knowledge in a way similar to human learning, making them more versatile and capable of handling real-world challenges.