Unknown

Dataset Information

0

How decisions and the desire for coherency shape subjective preferences over time.


ABSTRACT: Recent findings suggest a bidirectional relationship between preferences and choices such that what is chosen can become preferred. Yet, it is still commonly held that preferences for individual items are maintained, such as caching a separate value estimate for each experienced option. Instead, we propose that all possible choice options and preferences are represented in a shared, continuous, multidimensional space that supports generalization. Decision making is cast as a learning process that seeks to align choices and preferences to maintain coherency. We formalized an error-driven learning model that updates preferences to align with past choices, which makes repeating those and related choices more likely in the future. The model correctly predicts that making a free choice increases preferences along related attributes. For example, after choosing a political candidate based on trivial information (e.g., they like cats), voters' views on abortion, immigration, and trade subsequently shifted to match their chosen candidate.

SUBMITTER: Hornsby AN 

PROVIDER: S-EPMC7315129 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

How decisions and the desire for coherency shape subjective preferences over time.

Hornsby Adam N AN   Love Bradley C BC  

Cognition 20200326


Recent findings suggest a bidirectional relationship between preferences and choices such that what is chosen can become preferred. Yet, it is still commonly held that preferences for individual items are maintained, such as caching a separate value estimate for each experienced option. Instead, we propose that all possible choice options and preferences are represented in a shared, continuous, multidimensional space that supports generalization. Decision making is cast as a learning process tha  ...[more]

Similar Datasets

| S-EPMC6343649 | biostudies-literature
| S-EPMC4925198 | biostudies-literature
| S-EPMC9839446 | biostudies-literature
| 2123633 | ecrin-mdr-crc
| S-EPMC3534680 | biostudies-literature
| S-EPMC4609991 | biostudies-literature
| S-EPMC10482953 | biostudies-literature
| S-EPMC6294547 | biostudies-literature
| S-EPMC5587215 | biostudies-other
| S-EPMC8489423 | biostudies-literature