Introspection in intelligent agents
Introspection refers to the process by which an intelligent agent examines and analyzes its own cognitive processes, decisions, and behaviors. This capability allows agents to gain deeper insights into their actions, identify patterns, and adjust their strategies based on reflection. Introspection is essential in advancing intelligent agents from simple task performers to systems that can continually evolve and improve over time, similar to the way humans reflect on past experiences to make better future decisions.
In agent-based systems, introspection plays a crucial role in enhancing performance and adaptability. When agents introspect, they evaluate their reasoning and decision-making pathways, allowing them to detect any flaws, biases, or inefficiencies in their processes. This leads to a more refined understanding of the environment and their own functioning, enabling them to make more informed choices and adapt their behavior. For example...
