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Cheng found that “generalization gradients in both series were fitted by exponential functions, supporting Shepard’s law”. [5] Cheng’s research suggested that Shepard’s law had the potential to be generalized to more than only mammals and birds but to invertebrates as well.
The learner uses generalized patterns, principles, and other similarities between past experiences and novel experiences to more efficiently navigate the world. [2] For example, if a person has learned in the past that every time they eat an apple, their throat becomes itchy and swollen, they might assume they are allergic to all fruit.
Two-alternative forced choice (2AFC) is a method for measuring the sensitivity of a person or animal to some particular sensory input, stimulus, through that observer's pattern of choices and response times to two versions of the sensory input.
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 following approaches can all be seen as exemplifying a generalization of Darwinian ideas outside of their original domain of biology. These "Darwinian extensions" can be grouped in two categories, depending on whether they discuss implications of biological (genetic) evolution in other disciplines (e.g. medicine or psychology), or discuss processes of variation and selection of entities ...
In behavioral psychology, the assumption of generality is the assumption that the results of experiments involving schedules of reinforcement, conducted on non-human subjects (often pigeons), can be generalized to apply to humans. [1] [2] [3] If the assumption holds, many aspects of daily human life can be understood in terms of these results ...
SPOILERS BELOW—do not scroll any further if you don't want the answer revealed. The New York Times. Today's Wordle Answer for #1269 on Monday, December 9, 2024.
Randomization is a statistical process in which a random mechanism is employed to select a sample from a population or assign subjects to different groups. [1] [2] [3] The process is crucial in ensuring the random allocation of experimental units or treatment protocols, thereby minimizing selection bias and enhancing the statistical validity. [4]