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. 2018 Dec 31;374(1766):20180131. doi: 10.1098/rstb.2018.0131

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