Matches in SemOpenAlex for { <https://semopenalex.org/work/W4240129504> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W4240129504 abstract "The value learning process has been investigated using decision-making tasks with a correct answer specified by the external environment (externally guided decision-making, EDM). In EDM, people are required to adjust their choices based on feedback, and the learning process is generally explained by the reinforcement learning (RL) model. In addition to EDM, value is learned through internally guided decision-making (IDM), in which no correct answer defined by external circumstances is available, such as preference judgment. In IDM, it has been believed that the value of the chosen item is increased and that of the rejected item is decreased (choice-induced preference change; CIPC). An RL-based model called the choice-based learning (CBL) model had been proposed to describe CIPC, in which the values of chosen and/or rejected items are updated as if own choice were the correct answer. However, the validity of the CBL model has not been confirmed by fitting the model to IDM behavioral data. The present study aims to examine the CBL model in IDM. We conducted simulations, a preference judgment task for novel contour shapes, and applied computational model analyses to the behavioral data. The results showed that the CBL model with both the chosen and rejected value’s updated were a good fit for the IDM behavioral data compared to the other candidate models. Although previous studies using subjective preference ratings had repeatedly reported changes only in one of the values of either the chosen or rejected items, we demonstrated for the first time both items’ value changes were based solely on IDM choice behavioral data with computational model analyses." @default.
- W4240129504 created "2022-05-12" @default.
- W4240129504 creator A5017677033 @default.
- W4240129504 creator A5033816900 @default.
- W4240129504 creator A5035280237 @default.
- W4240129504 creator A5039154781 @default.
- W4240129504 creator A5090353021 @default.
- W4240129504 date "2020-04-06" @default.
- W4240129504 modified "2023-09-29" @default.
- W4240129504 title "Computational modeling of Choice-Induced Preference Change: A Reinforcement-Learning-based approach" @default.
- W4240129504 doi "https://doi.org/10.31234/osf.io/zqrvw" @default.
- W4240129504 hasPublicationYear "2020" @default.
- W4240129504 type Work @default.
- W4240129504 citedByCount "0" @default.
- W4240129504 crossrefType "posted-content" @default.
- W4240129504 hasAuthorship W4240129504A5017677033 @default.
- W4240129504 hasAuthorship W4240129504A5033816900 @default.
- W4240129504 hasAuthorship W4240129504A5035280237 @default.
- W4240129504 hasAuthorship W4240129504A5039154781 @default.
- W4240129504 hasAuthorship W4240129504A5090353021 @default.
- W4240129504 hasBestOaLocation W42401295041 @default.
- W4240129504 hasConcept C105795698 @default.
- W4240129504 hasConcept C111919701 @default.
- W4240129504 hasConcept C119857082 @default.
- W4240129504 hasConcept C127413603 @default.
- W4240129504 hasConcept C149782125 @default.
- W4240129504 hasConcept C154945302 @default.
- W4240129504 hasConcept C15744967 @default.
- W4240129504 hasConcept C181204326 @default.
- W4240129504 hasConcept C201995342 @default.
- W4240129504 hasConcept C2776291640 @default.
- W4240129504 hasConcept C2779110102 @default.
- W4240129504 hasConcept C2780451532 @default.
- W4240129504 hasConcept C2781249084 @default.
- W4240129504 hasConcept C33923547 @default.
- W4240129504 hasConcept C41008148 @default.
- W4240129504 hasConcept C67203356 @default.
- W4240129504 hasConcept C77805123 @default.
- W4240129504 hasConcept C97541855 @default.
- W4240129504 hasConcept C98045186 @default.
- W4240129504 hasConceptScore W4240129504C105795698 @default.
- W4240129504 hasConceptScore W4240129504C111919701 @default.
- W4240129504 hasConceptScore W4240129504C119857082 @default.
- W4240129504 hasConceptScore W4240129504C127413603 @default.
- W4240129504 hasConceptScore W4240129504C149782125 @default.
- W4240129504 hasConceptScore W4240129504C154945302 @default.
- W4240129504 hasConceptScore W4240129504C15744967 @default.
- W4240129504 hasConceptScore W4240129504C181204326 @default.
- W4240129504 hasConceptScore W4240129504C201995342 @default.
- W4240129504 hasConceptScore W4240129504C2776291640 @default.
- W4240129504 hasConceptScore W4240129504C2779110102 @default.
- W4240129504 hasConceptScore W4240129504C2780451532 @default.
- W4240129504 hasConceptScore W4240129504C2781249084 @default.
- W4240129504 hasConceptScore W4240129504C33923547 @default.
- W4240129504 hasConceptScore W4240129504C41008148 @default.
- W4240129504 hasConceptScore W4240129504C67203356 @default.
- W4240129504 hasConceptScore W4240129504C77805123 @default.
- W4240129504 hasConceptScore W4240129504C97541855 @default.
- W4240129504 hasConceptScore W4240129504C98045186 @default.
- W4240129504 hasLocation W42401295041 @default.
- W4240129504 hasLocation W42401295042 @default.
- W4240129504 hasLocation W42401295043 @default.
- W4240129504 hasLocation W42401295044 @default.
- W4240129504 hasOpenAccess W4240129504 @default.
- W4240129504 hasPrimaryLocation W42401295041 @default.
- W4240129504 hasRelatedWork W10379689 @default.
- W4240129504 hasRelatedWork W4412456 @default.
- W4240129504 hasRelatedWork W5173387 @default.
- W4240129504 hasRelatedWork W572617 @default.
- W4240129504 hasRelatedWork W5991403 @default.
- W4240129504 hasRelatedWork W7066538 @default.
- W4240129504 hasRelatedWork W8015253 @default.
- W4240129504 hasRelatedWork W8539471 @default.
- W4240129504 hasRelatedWork W868042 @default.
- W4240129504 hasRelatedWork W9616457 @default.
- W4240129504 isParatext "false" @default.
- W4240129504 isRetracted "false" @default.
- W4240129504 workType "article" @default.