Jim Rutt describes "relevance realization" as the dynamic process by which cognitive agents discern and prioritize information that is crucial to achieving their goals within a specific context. It is an adaptive mechanism intrinsic to intelligence that allows individuals to filter through vast amounts of data and highlight what is most pertinent to their immediate situation. This concept involves a fluid integration of perception, memory, and decision-making, making it a cornerstone for effective problem-solving and learning. According to Rutt, relevance realization is not a static attribute but an emergent property of a system interacting with its environment, continually refining its criteria for what is relevant through experience and feedback. By mastering this process, an agent enhances its ability to navigate complex and ever-changing landscapes efficiently.

See also: emergence, evolutionary computing, agent-based modeling, intellectual honesty, complex system