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- W4245642810 abstract "Choosing between options characterized by multiple cues can be a daunting task. People may integrate all information at hand or just use lexicographic strategies that ignore most of it. Notably, integrative strategies require knowing exact cue weights, whereas lexicographic heuristics can operate by merely knowing the importance order of cues. Here we study how using integrative or lexicographic strategies interacts with learning about cues. In our choice-learning-estimation paradigm people first make choices, learning about cues from qualities of chosen options, and then estimate qualities of new options. We developed delta-elimination (DE), a new lexicographic strategy that generalizes previous heuristics to any type of environment, and compared it to the integrative weighted-additive (WADD) strategy. Our results show that participants learned cue weights regardless of the choice strategy employed. The group of people best described by the DE strategy learned cue weights, exactly like the group best described by the WADD. Still, there was an interaction between the adopted strategy and the cue weight learning process: the DE users learned cue weights slower than the WADD users. This work advances the study of lexicographic choice strategies, both empirically and theoretically, and deepens our understanding of strategy selection, in particular the interaction between the strategy used and learning the structure of the environment." @default.
- W4245642810 created "2022-05-12" @default.
- W4245642810 creator A5016057473 @default.
- W4245642810 creator A5019070741 @default.
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- W4245642810 date "2019-04-18" @default.
- W4245642810 modified "2023-09-30" @default.
- W4245642810 title "Linear integration and lexicographic models of choice: A cue weight learning perspective" @default.
- W4245642810 doi "https://doi.org/10.31234/osf.io/yj2zc" @default.
- W4245642810 hasPublicationYear "2019" @default.
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