reinforcementcentered
Reinforcementcentered is a conceptual framework that emphasizes the role of reinforcement in shaping behavior and driving learning. It suggests that an organism's actions are primarily motivated by the anticipated outcomes, specifically those that are rewarding or avoid punishment. This perspective is central to the field of reinforcement learning in artificial intelligence, where agents learn to make decisions by maximizing a cumulative reward signal.
In psychology, behaviorism extensively explored reinforcementcentered principles. Concepts like operant conditioning, developed by B.F. Skinner, posit
The core idea is that individuals, whether biological or artificial, are constantly evaluating the consequences of
Reinforcementcentered approaches are widely applied. In education, teachers use praise and rewards to encourage desired learning