Abstract

Classical decision theory postulates that choices proceed from subjective values assigned to the probable outcomes of alternative actions. Some authors have argued that opposite causality should also be envisaged, with choices influencing subsequent values expressed in desirability ratings. The idea is that agents may increase their ratings of items that they have chosen in the first place, which has been typically explained by the need to reduce cognitive dissonance. However, evidence in favor of this reverse causality has been the topic of intense debates that have not reached consensus so far. Here, we take a novel approach using Bayesian techniques to compare models in which choices arise from stable (but noisy) underlying values (one-way causality) versus models in which values are in turn influenced by choices (two-way causality). Moreover, we examined whether in addition to choices, other components of previous actions, such as the effort invested and the eventual action outcome (success or failure), could also impact subsequent values. Finally, we assessed whether the putative changes in values were only expressed in explicit ratings, or whether they would also affect other value-related behaviors such as subsequent choices. Behavioral data were obtained from healthy participants in a rating-choice-rating-choice-rating paradigm, where the choice task involves deciding whether or not to exert a given physical effort to obtain a particular food item. Bayesian selection favored two-way causality models, where changes in value due to previous actions affected subsequent ratings, choices and action outcomes. Altogether, these findings may help explain how values and actions drift when several decisions are made successively, hence highlighting some shortcomings of classical decision theory.

Highlights

  • IntroductionClassical decision-making theory states that when facing a choice, agents consider the cost attached to potential actions and the value of their expected outcomes, and select the option that gives the maximal net benefit [1,2,3,4,5]

  • Some authors have argued that causality could be reversed, meaning that values may in turn be influenced by choices

  • Existing demonstrations of reverse causality have been criticized because pseudoeffects may arise from statistical artifacts

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Summary

Introduction

Classical decision-making theory states that when facing a choice, agents consider the cost attached to potential actions and the value of their expected outcomes, and select the option that gives the maximal net benefit [1,2,3,4,5]. The general logic is: “I have engaged this action in order to get that outcome, this is how much I like that outcome” This reversed logic has been adopted in the well-known cognitive dissonance theory [7, 8]. An impressive number of studies showed that relative to the first rating, the second rating is increased for chosen items and decreased for unchosen items This effect has been termed choice-induced spread of preference [10,11,12,13], which implies reverse causality from actions to values

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