Associative Learning Algorithm
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An Associative Learning Algorithm is a learning algorithm that ...
- Example(s):
- See: Reinforcement Associative Learning.
References
2014
- http://en.wikipedia.org/wiki/Learning#Associative_learning
- QUOTE: Associative learning is the process by which an association between two stimuli or a behavior and a stimulus is learned. The two forms of associative learning are classical and operant conditioning. In the former a previously neutral stimulus is repeatedly presented together with a reflex eliciting stimuli until eventually the neutral stimulus will elicit a response on its own. In operant conditioning a certain behavior is either reinforced or punished which results in an altered probability that the behavior will happen again. Honeybees display associative learning through the proboscis extension reflex paradigm.[1]
- ↑ Bitterman et al. 1983. Classical Conditioning of Proboscis Extension in Honeybees (Apis mellifera). J. Comp. Psych. 97: 107-119.