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. 2002 Nov;9(6):430–442. doi: 10.1101/lm.49102

Table 4.

Probability Structure of Cognitive-habit Learning (Weather Prediction) Task

Cue pattern
Cue
P (cue combination)
P (outcome)
1
2
3
4
 1 0 0 0 1 .133 .150
 2 0 0 1 0 .087 .385
 3 0 0 1 1 .080 .083
 4 0 1 0 0 .087 .615
 5 0 1 0 1 .067 .200
 6 0 1 1 0 .040 .500
 7 0 1 1 1 .047 .143
 8 1 0 0 0 .133 .850
 9 1 0 0 1 .067 .500
10 1 0 1 0 .067 .800
11 1 0 1 1 .033 .400
12 1 1 0 0 .080 .917
13 1 1 0 1 .033 .600
14 1 1 1 0 .047 .857

For any given trial, 1 of the 14 possible cue pattern combinations displayed above appeared on the computer screen with a probability indicated as: P (cue combination). As shown above, the probability of the cue combinations to predict sunshine (outcome 1) was set at P (outcome). Conversely, the probability of the above cue combinations to predict rain (or outcome 2) was equal to 1 − P.