lesson 4 Flashcards
(60 cards)
Rescorla-Wagner Model (RW)
Q1: What is the purpose of a learning theory in psychology?
To explain or generate learning behavior using a set of rules, often expressed mathematically.
What type of conditioning does the Rescorla-Wagner model explain?
Pavlovian (classical) conditioning only.
What is the main idea of the RW model?
What is the main idea of the RW model?
What does the RW equation describe?
: It describes how associative strength (V) changes over time as learning occurs.
What is associative strength (V)?
A measure of how strongly a conditioned stimulus (CS) is associated with an unconditioned stimulus (US).
What does ΔV represent in the RW model?
The change in associative strength; how much learning happens on a given trial.
What does α (alpha) represent in the RW equation?
The salience of the CS – how noticeable or attention-grabbing it is.
What does β (beta) represent in the RW equation?
The salience of the US – typically set to 1 in most experiments.
What does λ (lambda) represent in the RW equation?
The intensity or value of the US – what actually happens in the world.
What is the equation used in the RW model?
ΔV = αβ(λ − V)
What does the term (λ − V) represent in the equation?
Prediction error – the difference between what happens (λ) and what is expected (V).
When does learning occur according to the RW model?
When prediction error is large; the more surprise, the more learning.
What happens when λ = V in the RW model?
Prediction error is zero; ΔV = 0, so no learning occurs.
What does the RW model say about multiple CSs?
Each CS has its own associative strength (e.g., VA, VB, etc.), which is updated individually.
What does the term “asymptote of learning” mean in this context?
It’s the maximum level of associative strength (V) the CS can reach, which equals λ.
What is the performance rule in RW?
The stronger the associative strength (V), the stronger the conditioned response (CR).
Jimmy has lived his entire life in a tiny village where there are no traffic lights. He has now moved to the metropolis of Waterloo to attend university. He is standing at a junction with a traffic light when it turns red and all the cars stop. Jimmy is very surprised, because he did not know that red lights mean stop.
Jimmy’s prediction error is?
Large
Small
Zero
Infinity
large
As a result of this experience, Jimmy will
not learn anything
learn a little
learn a lot
learn a lot
In Jimmy’s brain, the strength of the association between red lights and stopping will
Increase
Decrease
Become zero
Give him an aneurysm
increase
V =
associative strength
salience of the us
B
intensity of the US
upside down y
delta V
change in associateive strength
a
salience of the CS