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An example of negative reinforcement would be taking an aspirin to relieve a headache. Reinforcement is an important component of operant conditioning and behavior modification . The concept has been applied in a variety of practical areas, including parenting, coaching, therapy, self-help, education, and management.
Operant conditioning. Operant conditioning, also called instrumental conditioning, is a learning process where voluntary behaviors are modified by association with the addition (or removal) of reward or aversive stimuli. The frequency or duration of the behavior may increase through reinforcement or decrease through punishment or extinction.
Machine learningand data mining. Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent ought to take actions in a dynamic environment in order to maximize the cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside ...
Evolutionary biology. Reinforcement is a process of speciation where natural selection increases the reproductive isolation (further divided to pre-zygotic isolation and post-zygotic isolation) between two populations of species. This occurs as a result of selection acting against the production of hybrid individuals of low fitness.
Reinforcement, a key concept of behaviorism, is the primary process that shapes and controls behavior, and occurs in two ways: positive and negative. In The Behavior of Organisms (1938), Skinner defines negative reinforcement to be synonymous with punishment, i.e. the presentation of an aversive stimulus
Just as "reward" was commonly used to alter behavior long before "reinforcement" was studied experimentally, the Premack principle has long been informally understood and used in a wide variety of circumstances. An example is a mother who says, "You have to finish your vegetables (low frequency) before you can eat any ice cream (high frequency)."
e. In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves training a reward model to represent preferences, which can then be used to train other models through reinforcement learning. In classical reinforcement learning, an intelligent agent's goal ...
Reinforcement theory. Reinforcement theory is a limited effects media model applicable within the realm of communication. The theory generally states that people seek out and remember information that provides cognitive support for their pre-existing attitudes and beliefs. The main assumption that guides this theory is that people do not like ...