Ontology highlight
ABSTRACT:
SUBMITTER: Glickman M
PROVIDER: S-EPMC6738658 | biostudies-literature | 2019 Aug
REPOSITORIES: biostudies-literature
Glickman Moshe M Sharoni Orian O Levy Dino J DJ Niebur Ernst E Stuphorn Veit V Usher Marius M
PLoS computational biology 20190829 8
A key question in decision-making is how people integrate amounts and probabilities to form preferences between risky alternatives. Here we rely on the general principle of integration-to-boundary to develop several biologically plausible process models of risky-choice, which account for both choices and response-times. These models allowed us to contrast two influential competing theories: i) within-alternative evaluations, based on multiplicative interaction between amounts and probabilities, ...[more]