Literature DB >> 31387053

Reference effects on decision-making elicited by previous rewards.

Francesco Rigoli1.   

Abstract

Substantial evidence has highlighted reference effects occurring during decision-making, whereby subjective value is not calculated in absolute terms but relative to the distribution of rewards characterizing a context. Among these, within-choice effects are exerted by options simultaneously available during choice. These should be distinguished from between-choice effects, which depend on the distribution of options presented in the past. Influential theories on between-choice effects include Decision-by-Sampling, Expectation-as-Reference and Divisive Normalization. Surprisingly, previous literature has focused on each theory individually disregarding the others. Thus, similarities and differences among theories remain to be systematically examined. Here we fill this gap by offering an overview of the state-of-the-art of research about between-choice reference effects. Our comparison of alternative theories shows that, at present, none of them is able to account for the full range of empirical data. To address this, we propose a model inspired by previous perspectives and based on a logistic framework, hence called logistic model of subjective value. Predictions of the model are analysed in detail about reference effects and risky decision-making. We conclude that our proposal offers a compelling framework for interpreting the multifaceted manifestations of between-choice reference effects.
Copyright © 2019 Elsevier B.V. All rights reserved.

Keywords:  Context effect; Decision-making; Reference effect; Reward prediction error; Risk

Year:  2019        PMID: 31387053     DOI: 10.1016/j.cognition.2019.104034

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  5 in total

Review 1.  A reference-based theory of motivation and effort allocation.

Authors:  Francesco Rigoli; Giovanni Pezzulo
Journal:  Psychon Bull Rev       Date:  2022-06-29

2.  Human value learning and representation reflect rational adaptation to task demands.

Authors:  Keno Juechems; Tugba Altun; Rita Hira; Andreas Jarvstad
Journal:  Nat Hum Behav       Date:  2022-05-30

Review 3.  A Reference-Dependent Computational Model of Anorexia Nervosa.

Authors:  Francesco Rigoli; Cristina Martinelli
Journal:  Cogn Affect Behav Neurosci       Date:  2021-03-09       Impact factor: 3.526

4.  Asymmetric and adaptive reward coding via normalized reinforcement learning.

Authors:  Kenway Louie
Journal:  PLoS Comput Biol       Date:  2022-07-21       Impact factor: 4.779

5.  A map of decoy influence in human multialternative choice.

Authors:  Tsvetomira Dumbalska; Vickie Li; Konstantinos Tsetsos; Christopher Summerfield
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-21       Impact factor: 11.205

  5 in total

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