The human mind is characterized by its self-reflective, iterative, and dynamic processes—a paradox in which it simultaneously serves as both the observer and the observed.
In the quest to create intelligent systems that mirror human capabilities, researchers have long been inspired by the intricate processes underlying human cognition.
Humans continually refine their understanding through introspection—a process that involves evaluating thought patterns, decision-making, and behavior.
AI systems employing meta-learning use feedback loops to evaluate their decision-making processes.
The human mind is characterized by its self-reflective, iterative, and dynamic processes—a paradox in which it simultaneously serves as both the observer and th