Decision heuristics in contexts integrating action selection and execution.

ABSTRACT: Heuristics can inform human decision making in complex environments through a reduction of computational requirements (accuracy-resource trade-off) and a robustness to overparameterisation (less-is-more). However, tasks capturing the efficiency of heuristics typically ignore action proficiency in determining rewards. The requisite movement parameterisation in sensorimotor control questions whether heuristics preserve efficiency when actions are nontrivial. We developed a novel action selection-execution task requiring joint optimisation of action selection and spatio-temporal skillful execution. State-appropriate choices could be determined by a simple spatial heuristic, or by more complex planning. Computational models of action selection parsimoniously distinguished human participants wh

SUBMITTER: Dundon NM 

PROVIDER: S-EPMC10119283 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature