Question

Explanation for contingency (TD model):

1) the ___ ___ acts as a ___
2) ___(context) = EV(___) → ___ ___
3) Over ___, P(US | CS) ___ P(US | no CS)

Answer 1

The contingency (TD) model is a mathematical formula developed by Robert Rescorla and Alan Wagner to calculate the probability of learning associations between conditioned and unconditioned stimuli. The model includes the conditioned stimulus (CS), context, unconditioned stimulus (US), and the relationship between the CS and US.

Step-by-step explanation:

The question is asking for an explanation of the contingency (TD) model. The TD model is a mathematical formula developed by Robert Rescorla and Alan Wagner to calculate the probability of learning associations between conditioned and unconditioned stimuli. Here is the step-by-step explanation:

1. The first blank: In the contingency (TD) model, the first blank is filled by the conditioned stimulus (CS), which acts as a predictor or signal for the unconditioned stimulus (US).
2. The second blank: The second blank is filled by the context (context), which refers to the environmental or situational factors that influence the association between the CS and the US. The equation EV(CS) = Expected Value of the CS.
3. The third blank: The third blank is filled by the unconditioned stimulus (US), which is the stimulus that naturally produces a response without any prior conditioning.
4. The fourth blank: The fourth blank represents the relationship between the CS and the US. Over time, the probability of the US occurring in the presence of the CS (P(US | CS)) is greater than the probability of the US occurring in the absence of the CS (P(US | no CS)).