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In latent learning, one changes behavior only when there is sufficient motivation later than when they subconsciously retained the information. [1] Latent learning is when the observation of something, rather than experiencing something directly, can affect later behavior. Observational learning can be many things. A human observes a behavior ...
Van Hamme and Wasserman have extended the original Rescorla–Wagner (RW) model and introduced a new factor in their revised RW model in 1994: [3] They suggested that not only conditioned stimuli physically present on a given trial can undergo changes in their associative strength, the associative value of a CS can also be altered by a within-compound-association with a CS present on that trial.
He performed research demonstrating that his theories could predict behavior. His most significant works were the Mathematico-Deductive Theory of Rote Learning (1940), and Principles of Behavior (1943), which established his analysis of animal learning and conditioning as the dominant learning theory of its time. Hull's model is expressed in ...
This is known as latent learning. The rival theory, the much more mechanistic "S-R" (stimulus-response) reinforcement-driven view, was taken up by Clark L. Hull. A key paper by Tolman, Ritchie, and Kalish in 1946 demonstrated that rats learned the layout of a maze, which they explored freely without reinforcement.
Examples he gave of this kind of behavior were "a rat running a maze, a man driving home to dinner, a child hiding from a stranger, a woman gossiping over the telephone, etc." Tolman's purposive behaviorism was not as widely received in its day as other psychological theories.
Skinner described operant conditioning as strengthening behaviour through reinforcement. Reinforcement can consist of positive reinforcement, in which a desirable stimulus is added; negative reinforcement, in which an undesirable stimulus is taken away; positive punishment, in which an undesirable stimulus is added; and negative punishment, in which a desirable stimulus is taken away. [7]
The 2025 NFL draft order was shaken up by a Raiders win over the Jaguars in Week 16. Here's how that's impacting NFL mock drafts.
A highly practical example of latent variable models in machine learning is the topic modeling which is a statistical model for generating the words (observed variables) in the document based on the topic (latent variable) of the document. In the topic modeling, the words in the document are generated according to different statistical ...