Others see it as difficult to reconcile with the causal role of reasons in explaining choices.
Contrary to expectations, the signal reflected both model-free and model-based predictions in proportions matching those that best explained choice behavior.
MMNL models are preferred over MNL models, to better explain choice behaviour.
The model explains choice and decision time as an accumulation of momentary evidence to an upper bound or a lower bound, corresponding to the two direction choices.
MMNL models relax certain statistical assumptions of more commonly used multinomial logit (MNL) models and often lead to models that better explain choice behaviour.
We tested whether the addition of each variable improved the model and report a reduced model including only the variables that significantly explain choice (Table 1b).
MMNL models relax certain statistical assumptions of more commonly used multinomial logit models and often lead to models that better explain choice behaviour.
Although a frequent switch from one to another position was noticed, there was no detectable pattern to explain choice of position, except for caretaker's individual preferences.
In a within subjects design we evaluate distributional preferences and reasoning ability to explain choices in the Traveler's Dilemma.
