Table 1.
Overview of the main computational models. N.B. The WP choice model was additionally fitted to achieved rewards on standard trials and precommitment trials in which subjects rejected precommitment to estimate ιrewards.
choice models | |||||
---|---|---|---|---|---|
description models of participants’ choices of the LR without precommitment |
fitted to choices on standard trials and precommitment trials in which subjects rejected precommitment |
||||
excluded data: precommitment trials in which subjects rejected precommitment | |||||
effort task | model parameters | n trials per subject | |||
MM choice model | WP choice model | mean | s.e.m. | range | |
ɛ, γ | ɛ, γ, ιchoice | 44.2 | 1.59 | [30,60] | |
delay task | model parameters | n trials per subject | |||
MM choice model | WP choice model | mean | s.e.m. | range | |
κ, γ | κ, γ, ιchoice | 45.1 | 1.57 | [30,60] |
precommitment models | |||||
---|---|---|---|---|---|
description models of participants' precommitment decisions |
fitted to precommitment decisions in precommitment trials |
||||
excluded data: standard trials | |||||
effort task | model parameters | ||||
MM precom model | WP precom model | n trials per subject | |||
θ, b | θ, b | 15 | |||
delay task | model parameters | ||||
MM precom model | WP precom model | n trials per subject | |||
θ, b | θ, b | 15 |