Directions: Using the Rescola-Wagner formula, complete the tables below based on the scenario.
ΔV = αβ(λ - ∑V)
1. During week 1, we watch a video where a student classically conditioned his roommate to jump by pairing being shot with a toy dart gun to the sound effect "that was easy." In this scenario the US is being hit with the dart. Assume that αβ = 0.2 and λ = 1. Based on this fill out the chart below to model the learning curve of the roommate.
|
Trial #
|
CS
|
∑V
|
αβ
|
λ
|
ΔV
|
New V
|
|
start
|
|
-
|
|
-
|
-
|
0
|
|
1
|
That was easy
|
0
|
0.2
|
1
|
.2
|
.2
|
|
2
|
That was easy
|
.2
|
0.2
|
1
|
.16
|
.36
|
|
3
|
That was easy
|
|
0.2
|
1
|
|
|
|
4
|
That was easy
|
|
0.2
|
1
|
|
|
|
5
|
That was easy
|
|
0.2
|
1
|
|
|
|
6
|
That was easy
|
|
0.2
|
1
|
|
|
|
7
|
That was easy
|
|
0.2
|
1
|
|
|
|
8
|
That was easy
|
|
0.2
|
1
|
|
|
|
9
|
That was easy
|
|
0.2
|
1
|
|
|
|
10
|
That was easy
|
|
0.2
|
1
|
|
|
2. In a case of accidental classical conditioning, your cat has learned that when you get a spoon out of the silverware drawer, it means they will get their food. In this scenario the US is the sound of the spoon. Assume that αβ = 0.4 and λ = 1. Based on this fill out the chart below to model the learning curve of your cat.
|
Trial #
|
CS
|
∑V
|
αβ
|
λ
|
ΔV
|
New V
|
|
start
|
|
-
|
|
-
|
-
|
0
|
|
1
|
spoon
|
0
|
0.4
|
1
|
0.4
|
0.4
|
|
2
|
spoon
|
0.4
|
0.4
|
1
|
0.24
|
0.64
|
|
3
|
spoon
|
|
0.4
|
1
|
|
|
|
4
|
spoon
|
|
0.4
|
1
|
|
|
|
5
|
spoon
|
|
0.4
|
1
|
|
|
|
6
|
spoon
|
|
0.4
|
1
|
|
|
|
7
|
spoon
|
|
0.4
|
1
|
|
|
|
8
|
spoon
|
|
0.4
|
1
|
|
|
|
9
|
spoon
|
|
0.4
|
1
|
|
|
|
10
|
spoon
|
|
0.4
|
1
|
|
|
3. Based on your calculations, who was classically conditioned faster? Why do you think this individual learned faster? Compare the rates of acquisition graphically and describe. This requires you to create a graph based on your data in a spreadsheet program such as Excel. You should plot the change in V on the y-axis and trial number on the x-axis. Copy and paste your graph below and discuss.
4. Who would you predict would have this highest resistance to extinction? Using the Rescola-Wagner equation, demonstrate why you think that. Make a table similar to the one above and include your calculations. Then, after you make calculations using the R-W model graph your results and paste the graph below.
|
Trial #
|
CS
|
∑V
|
αβ
|
λ
|
ΔV
|
New V
|
|
|
Spoon with food (from trial 10 above)
|
|
0.4
|
1
|
|
|
|
1
|
Spoon w/o food
|
|
0.4
|
0
|
|
|
|
2
|
Spoon w/o food
|
|
0.4
|
0
|
|
|
|
3
|
Spoon w/o food
|
|
0.4
|
0
|
|
|
|
4
|
Spoon w/o food
|
|
0.4
|
0
|
|
|
|
5
|
Spoon w/o food
|
|
0.4
|
0
|
|
|
|
6
|
Spoon w/o food
|
|
0.4
|
0
|
|
|
|
7
|
Spoon w/o food
|
|
0.4
|
0
|
|
|
|
8
|
Spoon w/o food
|
|
0.4
|
0
|
|
|
|
9
|
Spoon w/o food
|
|
0.4
|
0
|
|
|
|
10
|
Spoon w/o food
|
|
0.4
|
0
|
|
|
|
Trial #
|
CS
|
∑V
|
αβ
|
λ
|
ΔV
|
New V
|
|
|
That was easy with dart (from trial 10 above)
|
|
0.2
|
1
|
|
|
|
1
|
Easy w/o dart
|
|
0.2
|
0
|
|
|
|
2
|
Easy w/o dart
|
|
0.2
|
0
|
|
|
|
3
|
Easy w/o dart
|
|
0.2
|
0
|
|
|
|
4
|
Easy w/o dart
|
|
0.2
|
0
|
|
|
|
5
|
Easy w/o dart
|
|
0.2
|
0
|
|
|
|
6
|
Easy w/o dart
|
|
0.2
|
0
|
|
|
|
7
|
Easy w/o dart
|
|
0.2
|
0
|
|
|
|
8
|
Easy w/o dart
|
|
0.2
|
0
|
|
|
|
9
|
Easy w/o dart
|
|
0.2
|
0
|
|
|
|
10
|
Easy w/o dart
|
|
0.2
|
0
|
|
|