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

Clicks: 277
ID: 103578
2020
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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.
Reference Key
hornsby2020howcognition Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hornsby, Adam N;Love, Bradley C;
Journal Cognition
Year 2020
DOI
S0010-0277(20)30063-9
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