Human contingency learning
From Wikipedia, the free encyclopedia
Human contingency learning (HCL) is the observation that people tend to acquire knowledge based on whichever outcome has the highest probability of occurring from particular stimuli. In other words, individuals gather associations between a certain behaviour and a specific consequence. It is a form of learning for many organisms.
Stimulus pairings can have many impacts on responses such as influencing the speed of responses, accuracies of the responses, affective evaluations and causal attributions.[1]
There has been much development about human contingency learning over a span of 20 years. Further development in human contingency learning is required because many models that have been proposed are unable to incorporate all existing data.[2]