What is an example of Thorndike’s Law of Effect?
The essential idea is that behavior can be modified by its consequences, as Thorndike found in his famous experiments with hungry cats in puzzle boxes. The cat was placed in a box that could be opened if the cat pressed a lever or pulled a loop.Click to see full answer. Correspondingly, what is an example…
The essential idea is that behavior can be modified by its consequences, as Thorndike found in his famous experiments with hungry cats in puzzle boxes. The cat was placed in a box that could be opened if the cat pressed a lever or pulled a loop.Click to see full answer. Correspondingly, what is an example of law of effect?This law is based on the observation of the effects that rewards have on animal behavior in test conditions. For example, an animal can be taught to push a lever to receive a bite of food as a reward. When the animal receives a treat for its behavior, it becomes more willing to continue to perform the behavior.Secondly, what is Thorndike’s theory? Connectionism (Edward Thorndike) The learning theory of Thorndike represents the original S-R framework of behavioral psychology: Learning is the result of associations forming between stimuli and responses. Such associations or “habits” become strengthened or weakened by the nature and frequency of the S-R pairings. Additionally, how do you use the law of effect? The law of effect principle developed by Edward Thorndike suggested that responses closely followed by satisfaction will become firmly attached to the situation and, therefore, more likely to reoccur when the situation is repeated. Imagine that you arrive early to work one day by accident. What is another way to state Thorndike’s Law of Effect?Thorndike’s law can be stated in a few different ways. That which produces a beneficial outcome is more likely to be done again while what causes a negative outcome is less likely. Or one could use the operant conditioning terms, that punishment makes behavior less likely and reinforcement makes it more likely.
