Goal-Directed Learning

Goal-directed learning is a process where an agent, like a person or an AI, learns to make decisions by understanding the relationship between actions and their outcomes. Instead of just reacting to immediate stimuli, it plans and chooses actions that are likely to achieve specific objectives or goals. This approach involves forming mental models of how certain choices lead to desired results, enabling more flexible and efficient decision-making. In essence, goal-directed learning helps an entity adaptively navigate complex environments by focusing on outcomes, not just habits or learned responses.