Introduction As artificial systems increasingly influence decisions in healthcare, education, finance, and governance, understanding why a system pro

Introduction As artificial systems become more complex, simply producing correct outputs is no longer enough. To behave reliably in real-world situat

Introduction Intelligent systems are most useful when they can act with purpose. Rather than reacting randomly to inputs, effective AI systems evalua

Introduction Intelligent behavior depends on continuous interaction with the environment. Rather than processing information in isolation, effective

Introduction Effective reasoning often depends on the ability to imagine outcomes before acting. Humans do this by forming internal models of how sit

Introduction Modern intelligent systems often process large amounts of information at once. Without a way to prioritize relevant signals, important d

Introduction Learning is a central aspect of intelligent behavior. In artificial systems, effective learning requires more than memorizing patterns�

Introduction Many artificial systems perform well in controlled tasks yet fail in everyday situations that humans find obvious. This gap exists becau

Introduction For intelligent systems to interact effectively with humans, they must do more than process symbols or recognize patterns. They need to

Introduction Conventional neural networks are effective at recognizing patterns, but they often struggle to retain and reuse information over long pe