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A generalized reinforcer is a conditioned reinforcer that has obtained the reinforcing function by pairing with many other reinforcers and functions as a reinforcer under a wide-variety of motivating operations. (One example of this is money because it is paired with many other reinforcers). [14]: 83
The rate of terminal reinforcement is = + where is the average duration of an initial link and is the number of terminal reinforcements obtained during a single entry to a terminal link. A critical prediction of this formulation is that matching is obtained when the terminal links are equal durations.
Less technically, a tact is a label. For example, a child may see their pet dog and say "dog"; the nonverbal stimulus (dog) evoked the response "dog" which is maintained by praise (or generalized conditioned reinforcement) "you're right, that is a dog!" Chapter five of Skinner's Verbal Behavior discusses the tact in depth.
An important refinement of Rotter's Social Learning Theory was the concept of generalized expectancies for problem-solving skills. Originally the generalization of expectancy was thought of as taking place purely along lines of expected reinforcers (e.g., academic or social success).
Reinforcement occurs when the consequence of a behavior makes it more likely for that behavior to occur in the future. Reinforcing consequences can be either positive, where something preferred is added, or negative, where something aversive is removed. [63] Reinforcement is the key element in operant conditioning and most behavior change programs.
The generalized matching law accounts for high proportions of the variance in most experiments on concurrent variable interval schedules in non-humans. Values of b often depend on details of the experiment set up, but values of s are consistently found to be around 0.8, whereas the value required for strict matching would be 1.0.
A token economy is a system of contingency management based on the systematic reinforcement of target behavior. The reinforcers are symbols or tokens that can be exchanged for other reinforcers. [1] A token economy is based on the principles of operant conditioning and behavioral economics and can be situated within applied behavior analysis ...
Locus of control as a theoretical construct derives from Julian B. Rotter's (1954) social learning theory of personality. It is an example of a problem-solving generalized expectancy, a broad strategy for addressing a wide range of situations.