Literature DB >> 31133084

Rationalization is rational.

Fiery Cushman1.   

Abstract

Rationalization occurs when a person has performed an action and then concocts the beliefs and desires that would have made it rational. Then, people often adjust their own beliefs and desires to match the concocted ones. While many studies demonstrate rationalization, and a few theories describe its underlying cognitive mechanisms, we have little understanding of its function. Why is the mind designed to construct post hoc rationalizations of its behavior, and then to adopt them? This may accomplish an important task: transferring information between the different kinds of processes and representations that influence our behavior. Human decision making does not rely on a single process; it is influenced by reason, habit, instinct, norms, and so on. Several of these influences are not organized according to rational choice (i.e., computing and maximizing expected value). Rationalization extracts implicit information - true beliefs and useful desires - from the influence of these non-rational systems on behavior. This is a useful fiction - fiction, because it imputes reason to non-rational psychological processes; useful, because it can improve subsequent reasoning. More generally, rationalization belongs to the broader class of representational exchange mechanisms, which transfer information between many different kinds of psychological representations that guide our behavior. Representational exchange enables us to represent any information in the manner best suited to the particular tasks that require it, balancing accuracy, efficiency, and flexibility in thought. The theory of representational exchange reveals connections between rationalization and theory of mind, inverse reinforcement learning, thought experiments, and reflective equilibrium.

Entities:  

Keywords:  cognitive dissonance; habitization; inverse reinforcement learning; rationalization; reflective equilibrium; representational exchange; self-perception; social learning; theory of mind; useful fiction

Year:  2019        PMID: 31133084     DOI: 10.1017/S0140525X19001730

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN: 0140-525X            Impact factor:   12.579


  5 in total

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Journal:  Mem Cognit       Date:  2022-05-09

2.  Impact of incentive and selection strength on green technology innovation in Moran process.

Authors:  Runtian Zhang; Jinye Li
Journal:  PLoS One       Date:  2020-06-30       Impact factor: 3.240

Review 3.  Derationalizing Delusions.

Authors:  Vaughan Bell; Nichola Raihani; Sam Wilkinson
Journal:  Clin Psychol Sci       Date:  2020-11-20

4.  When You Choose but Not Lose: Decreasing People's Desire for Options on Technological Appliances.

Authors:  Nieke Lemmen; Thijs Bouman; Linda Steg
Journal:  Front Psychol       Date:  2022-02-25

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

Authors:  Adam N Hornsby; Bradley C Love
Journal:  Cognition       Date:  2020-03-26
  5 in total

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