Table 4.
Nested models
| Parameter: | α (action precision) |
cr (reward sensitivity) |
η (learning rate) |
α0 (insensitivity to information) |
|---|---|---|---|---|
| Default value if not estimated | 4 | (always estimated) | (removed from model) | 0.25 |
| Prior means during estimation* | 4 | 4 | 0.5 | 0.25 |
| Model 1 | Y | Y | N | N |
| Model 2 | Y | Y | Y | N |
| Model 3 | Y | Y | Y | Y |
| Model 4 | N | Y | Y | Y |
| Model 5 | N | Y | Y | N |
| Model 6 | N | Y | N | N |
| Model 7 | N | Y | N | Y |
| Model 8 | Y | Y | N | Y |
| Model 9** | Y | Y | Wins/Losses | Y |
| Model 10 | Y | Y | Wins/Losses | N |
Yindicates that a parameter was estimated for that model; Nindicates that a parameter was not estimated for that model.
*
Prior variance for all parameters was set to a precise value of 2−2 in order to deter over-fitting.
**
Winning model