Matches in SemOpenAlex for { <https://semopenalex.org/work/W2783187977> ?p ?o ?g. }
- W2783187977 abstract "Abstract Optimal decisions across extended time horizons require value calculations over multiple probabilistic future states. Humans may circumvent such complex computations by resorting to easy-to-compute heuristics that approximate optimal solutions. To probe the potential interplay between heuristic and optimal computations, we develop a novel sequential decision-making task, framed as virtual foraging in which participants have to avoid virtual starvation. Rewards depend only on final outcomes over five-trial blocks, necessitating planning over five sequential decisions and probabilistic outcomes. Here, we report model comparisons demonstrating that participants primarily rely on the best available heuristic but also use the normatively optimal policy. FMRI signals in medial prefrontal cortex (MPFC) relate to heuristic and optimal policies and associated choice uncertainties. Crucially, reaction times and dorsal MPFC activity scale with discrepancies between heuristic and optimal policies. Thus, sequential decision-making in humans may emerge from integration between heuristic and optimal policies, implemented by controllers in MPFC." @default.
- W2783187977 created "2018-01-26" @default.
- W2783187977 creator A5033074173 @default.
- W2783187977 creator A5054780837 @default.
- W2783187977 date "2018-01-23" @default.
- W2783187977 modified "2023-09-26" @default.
- W2783187977 title "Heuristic and optimal policy computations in the human brain during sequential decision-making" @default.
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- W2783187977 doi "https://doi.org/10.1038/s41467-017-02750-3" @default.
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