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Taken together, our data show that individual differences in the tendency to act to avoid a negative outcome can be conceptualised as a generalised prior belief in a Bayesian framework, providing support to this theoretical account of learned helplessness and depression.
Lastly, to establish convergent validity, we correlated the mean of each participant’s prior with their self-rated positive affect and trait anxiety, finding that participants with higher positive affect had a more optimistic prior. Although the correlation was very weak.
We next invited 101 of these participants back to perform the tasks again (mean follow-up time = 16 days later) and found the parameters of the task-invariant prior to be reliable (block 1 to follow-up: mean of the prior (mu): ICC = 0.748; relative variance of the prior (sigma): ICC = 0.645).
We performed extensive model comparisons offering different structural explanations of the data, finding that a Bayesian model with a task-invariant prior for active avoidance provided the best overall fit to participants’ trial-by-trial behaviour across both tasks.
To test if such a generalised prior could explain decisions across tasks, we created two different tasks where 279 participants made repeated decisions between a passive choice with a sure negative outcome and a costly active choice where participants had a chance to avoid the negative outcome.
Theoretical work has suggested that learned helplessness results from a generalised pessimistic priors concerning action outcome contingencies. In this paper, we quantify such a prior for the first time. Capturing our participants’ expectations of success when actively avoiding a negative outcome.
I am super excited to share that my first first-authored paper is now out!
This work, which was carried out in collaboration with Peter Dayan, Máté Lengyel & Marc Guitart-Masip, has been a long time in the making.
