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Related Concept Videos

Reason and Intuition01:37

Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...

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Related Experiment Video

Updated: May 11, 2026

Operant Procedures for Assessing Behavioral Flexibility in Rats
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Published on: February 15, 2015

Sensitivity to changing contingencies in an impulsivity task.

Michael E Young1, Tara L Webb, Jillian M Rung

  • 1Department of Psychology, Kansas State University, Manhattan, KS, USA. michaelyoung@ksu.edu

Journal of the Experimental Analysis of Behavior
|May 10, 2013
PubMed
Summary
This summary is machine-generated.

Participants

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Area of Science:

  • Behavioral economics
  • Decision-making science

Background:

  • Understanding how individuals adjust their decision-making strategies in response to changing reward structures is crucial.
  • Previous research has explored delay discounting and reinforcement learning, but the impact of sequential, shifting reward contingencies requires further investigation.

Purpose of the Study:

  • To investigate how participants adapt their waiting behavior in a dynamic reward environment.
  • To examine the influence of previously experienced reward contingencies on current decision-making.

Main Methods:

  • A video-game-based escalating interest task was employed, where participants waited for rewards that increased in value over time.
  • Participants experienced four distinct reward contingencies, which were altered multiple times during the experiment.
  • Behavioral responses, specifically wait times, were recorded and analyzed in relation to the changing reward structures.

Main Results:

  • Participant behavior adapted to the current reward contingencies, demonstrating learning.
  • However, wait times showed significant carryover effects from previously experienced contingencies, indicating persistent influence.
  • The order in which participants encountered different reward contingencies impacted both their tendency to respond slowly and the overall optimality of their choices.

Conclusions:

  • Decision-making under shifting reward contingencies is influenced by both immediate feedback and the history of reinforcement.
  • The sequential presentation of reward structures can lead to suboptimal choices due to carryover effects.
  • Future research should consider the temporal dynamics of reward history in models of choice behavior.