FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386156502> ?p ?o ?g. }

• W4386156502 endingPage "6806" @default.
• W4386156502 startingPage "6796" @default.
• W4386156502 abstract "All life must solve how to allocate limited energy resources to maximize benefits from scarce opportunities. Economic theory posits decision makers optimize choice by maximizing the subjective benefit (utility) of reward minus the subjective cost (disutility) of the required effort. While successful in many settings, this model does not fully account for how experience can alter reward-effort trade-offs. Here, we test how well the subtractive model of effort disutility explains the behavior of two male nonhuman primates (Macaca mulatta) in a binary choice task in which reward quantity and physical effort to obtain were varied. Applying random utility modeling to independently estimate reward utility and effort disutility, we show the subtractive effort model better explains out-of-sample choice behavior when compared with parabolic and exponential effort discounting. Furthermore, we demonstrate that effort disutility depends on previous experience of effort: in analogy to work from behavioral labor economics, we develop a model of reference-dependent effort disutility to explain the increased willingness to expend effort following previous experience of effortful options in a session. The result of this analysis suggests that monkeys discount reward by an effort cost that is measured relative to an expected effort learned from previous trials. When this subjective cost of effort, a function of context and experience, is accounted for, trial-by-trial choices can be explained by the subtractive cost model of effort. Therefore, in searching for net utility signals that may underpin effort-based decision-making in the brain, careful measurement of subjective effort costs is an essential first step.SIGNIFICANCE STATEMENT All decision-makers need to consider how much effort they need to expend when evaluating potential options. Economic theories suggest that the optimal way to choose is by cost-benefit analysis of reward against effort. To be able to do this efficiently over many decision contexts, this needs to be done flexibly, with appropriate adaptation to context and experience. Therefore, in aiming to understand how this might be achieved in the brain, it is important to first carefully measure the subjective cost of effort. Here, we show monkeys make reward-effort cost-benefit decisions, subtracting the subjective cost of effort from the subjective value of rewards. Moreover, the subjective cost of effort is dependent on the monkeys' experience of effort in previous trials." @default.
• W4386156502 created "2023-08-26" @default.
• W4386156502 creator A5055452450 @default.
• W4386156502 creator A5066653099 @default.
• W4386156502 creator A5084260869 @default.
• W4386156502 date "2023-08-25" @default.
• W4386156502 modified "2023-10-17" @default.
• W4386156502 title "Worth the work? Monkeys discount rewards by a subjective adapting effort cost" @default.
• W4386156502 cites W1128587883 @default.
• W4386156502 cites W1575835178 @default.
• W4386156502 cites W1604039963 @default.
• W4386156502 cites W1820383004 @default.
• W4386156502 cites W1870304014 @default.
• W4386156502 cites W1985771124 @default.
• W4386156502 cites W1985879791 @default.
• W4386156502 cites W1988547834 @default.
• W4386156502 cites W2017108196 @default.
• W4386156502 cites W2018780148 @default.
• W4386156502 cites W2029383690 @default.
• W4386156502 cites W2030351515 @default.
• W4386156502 cites W2041421155 @default.
• W4386156502 cites W2045873622 @default.
• W4386156502 cites W2046479615 @default.
• W4386156502 cites W2054475627 @default.
• W4386156502 cites W2063433222 @default.
• W4386156502 cites W2084738519 @default.
• W4386156502 cites W2088742790 @default.
• W4386156502 cites W2098534820 @default.
• W4386156502 cites W2101260528 @default.
• W4386156502 cites W2104698815 @default.
• W4386156502 cites W2113991325 @default.
• W4386156502 cites W2121481101 @default.
• W4386156502 cites W2127564201 @default.
• W4386156502 cites W2137344397 @default.
• W4386156502 cites W2151876265 @default.
• W4386156502 cites W2165354724 @default.
• W4386156502 cites W2462826522 @default.
• W4386156502 cites W2515271602 @default.
• W4386156502 cites W2516707948 @default.
• W4386156502 cites W2740412125 @default.
• W4386156502 cites W2795986334 @default.
• W4386156502 cites W2912560049 @default.
• W4386156502 cites W2952509998 @default.
• W4386156502 cites W3011865677 @default.
• W4386156502 cites W3048787899 @default.
• W4386156502 cites W3089008944 @default.
• W4386156502 cites W3121390624 @default.
• W4386156502 cites W3123429966 @default.
• W4386156502 cites W3123554691 @default.
• W4386156502 cites W3123739069 @default.
• W4386156502 cites W3125302410 @default.
• W4386156502 cites W3135157594 @default.
• W4386156502 cites W3146051674 @default.
• W4386156502 cites W3184805414 @default.
• W4386156502 cites W3203342176 @default.
• W4386156502 cites W4224094912 @default.
• W4386156502 cites W4281565739 @default.
• W4386156502 cites W4283693046 @default.
• W4386156502 doi "https://doi.org/10.1523/jneurosci.0115-23.2023" @default.
• W4386156502 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37625854" @default.
• W4386156502 hasPublicationYear "2023" @default.
• W4386156502 type Work @default.
• W4386156502 citedByCount "0" @default.
• W4386156502 crossrefType "journal-article" @default.
• W4386156502 hasAuthorship W4386156502A5055452450 @default.
• W4386156502 hasAuthorship W4386156502A5066653099 @default.
• W4386156502 hasAuthorship W4386156502A5084260869 @default.
• W4386156502 hasConcept C10138342 @default.
• W4386156502 hasConcept C151730666 @default.
• W4386156502 hasConcept C15744967 @default.
• W4386156502 hasConcept C162324750 @default.
• W4386156502 hasConcept C175444787 @default.
• W4386156502 hasConcept C187736073 @default.
• W4386156502 hasConcept C2776945547 @default.
• W4386156502 hasConcept C2779343474 @default.
• W4386156502 hasConcept C2780451532 @default.
• W4386156502 hasConcept C6177178 @default.
• W4386156502 hasConcept C86803240 @default.
• W4386156502 hasConceptScore W4386156502C10138342 @default.
• W4386156502 hasConceptScore W4386156502C151730666 @default.
• W4386156502 hasConceptScore W4386156502C15744967 @default.
• W4386156502 hasConceptScore W4386156502C162324750 @default.
• W4386156502 hasConceptScore W4386156502C175444787 @default.
• W4386156502 hasConceptScore W4386156502C187736073 @default.
• W4386156502 hasConceptScore W4386156502C2776945547 @default.
• W4386156502 hasConceptScore W4386156502C2779343474 @default.
• W4386156502 hasConceptScore W4386156502C2780451532 @default.
• W4386156502 hasConceptScore W4386156502C6177178 @default.
• W4386156502 hasConceptScore W4386156502C86803240 @default.
• W4386156502 hasFunder F4320311904 @default.
• W4386156502 hasIssue "40" @default.
• W4386156502 hasLocation W43861565021 @default.
• W4386156502 hasLocation W43861565022 @default.
• W4386156502 hasOpenAccess W4386156502 @default.
• W4386156502 hasPrimaryLocation W43861565021 @default.
• W4386156502 hasRelatedWork W1894304482 @default.
• W4386156502 hasRelatedWork W2014099964 @default.
• W4386156502 hasRelatedWork W2052543565 @default.

• next