| Normative rules |
EWA: Equal-weighted averaging rule |
Mean value of all episodes |
\[\frac{\sum_{i = 1}^{I}S_{ni}}{I_{n}}\] |
[c@147659]
Information integration theory |
| DWA: Duration-weighted averaging rule |
Weighted average value based on the duration of each episode |
\[\frac{\sum_{i = 1}^{I}{\mathrm{\Delta}_{ni}S}_{ni}}{\sum_{i = 1}^{I}\mathrm{\Delta}_{ni}}\] |
[c@147659]
Information integration theory |
| Heuristic rules |
End rule |
Value of the end episode |
\[S_{nI}\] |
[c@147664]
James Dean effect |
| Serial position rule |
Mean value of the start and the end episodes |
\[{{(S}_{n1} + S}_{nI})/2\] |
[c@147662]
Serial position effect |
| Peak rule |
Value of the episode with the largest deviation from the mean |
\[\max_{ni}\left| S_{ni} - \frac{\sum_{i = 1}^{I}S_{ni}}{I_{n}} \right|\] |
[c@147670]
Bounded rationality |
| Peak(high) rule |
Value of the episode with the largest positive deviation from the mean |
\[\max_{ni}\left( S_{ni} - \frac{\sum_{i = 1}^{I}S_{ni}}{I_{n}} \right)\] |
[c@147670]
Bounded rationality |
| Peak(low) rule |
Value of the episode with the largest negative deviation from the mean |
\[\min_{ni}\left( S_{ni} - \frac{\sum_{i = 1}^{I}S_{ni}}{I_{n}} \right)\] |
[c@147670]
Bounded rationality |
| Peak-end rule |
Mean value of the peak and the end episodes |
\[\frac{\left( S\max_{ni}\left| S_{ni} - \frac{\sum_{i = 1}^{I}S_{ni}}{I_{n}} \right| + S_{nI} \right)}{2}\] |
[c@147667]
Hedonic adaptation/
hedonic treadmill effect |
| Peak(high)-end rule |
Mean value of the peak high episode and the end episode |
\[\frac{\left\lbrack S\max_{ni}\left( S_{ni} - \frac{\sum_{i = 1}^{I}S_{ni}}{I_{n}} \right) + S_{nI} \right\rbrack}{2}\] |
[c@147667]
Hedonic adaptation/
hedonic treadmill effect |
| Peak(low)-end rule |
Mean value of the peak low episode and the end episode |
\[\frac{\left\lbrack S\min_{ni}\left( S_{ni} - \frac{\sum_{i = 1}^{I}S_{ni}}{I_{n}} \right) + S_{nI} \right\rbrack}{2}\] |
[c@147667]
Hedonic adaptation/
hedonic treadmill effect |