The relationship between intertemporal choice and following the path of least resistance across choices, preferences, and beliefs

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ID: 96724
2017
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Abstract
The degree to which individuals prefer smaller sooner versus larger delayed rewards serves as a powerful predictor of their impulsivity towards a number of different kinds of rewards. Here we test the limits of its predictive ability within a variety of cognitive and social domains. Across several large samples of subjects, individuals who prefer smaller more immediate rewards (steeper discounters) are less reflective (or more impulsive) in their choices, preferences, and beliefs. First, steeper discounters used more automatic, less controlled choice strategies, giving more intuitive but incorrect responses on the Cognitive Reflection Test (replicating previous findings); employing a suboptimal probability matching heuristic for a one-shot gamble (rather than maximizing their probability of reward); and relying less on optimal planning in a two-stage reinforcement learning task. Second, steeper discounters preferred to consume information that was less complex and multi-faceted, as suggested by their self-reported Need for Cognitive Closure, their use of short-form social media (i.e., Twitter), and their preferred news sources (in particular, whether or not they preferred National Public Radio over other news sources). Third, steeper discounters had interpersonal and religious beliefs that are associated with reduced epistemic complexity: they were more likely to believe that the behavior of others could be explained by fixed rather than dynamic factors, and they believed more strongly in God and in the afterlife. Together these findings provide evidence for a link between individual differences in temporal discounting for monetary rewards and preferences for the path of least resistance (less reflective and/or more automatic modes of processing) across a variety of domains.
Reference Key
amitaishenhav2017thejudgment Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Amitai Shenhav, ;G. Rand, David;D. Greene, Joshua;
Journal judgment and decision making
Year 2017
DOI
DOI not found
URL
http://journal.sjdm.org/16/16710/jdm16710.pdf
Keywords
chemistry Biology (General) Medicine Engineering (General). Civil engineering (General) Information technology Technology Mechanical engineering and machinery Science physics psychology economics as a science social sciences (general) social sciences communication. mass media mathematics computer software computational linguistics. natural language processing

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