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Dynamic decision policy reconfiguration under outcome uncertainty.

Krista Bond1,2,3, Kyle Dunovan1, Alexis Porter4

  • 1Department of Psychology, Carnegie Mellon University, Pittsburgh, United States.

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Humans adapt decision policies in changing environments by adjusting evidence accumulation (drift rate) and decision thresholds (boundary height). This study reveals a stereotypical shift in decision-making strategies when optimal choices change.

Keywords:
conflictdecision-makinghumanneurosciencevolatility

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Area of Science:

  • Cognitive Neuroscience
  • Decision Science
  • Behavioral Economics

Background:

  • Adapting decisions to environmental changes is crucial for survival and success.
  • Understanding the neural and cognitive mechanisms of flexible decision-making is a key challenge.

Purpose of the Study:

  • To investigate how human decision policies adapt when the most rewarding action changes in uncertain environments.
  • To examine the roles of reward certainty (conflict) and outcome reliability (volatility) in modulating decision strategies.

Main Methods:

  • Human participants engaged in a dynamic two-armed bandit task.
  • Environmental factors like conflict and volatility were manipulated.
  • Drift rate and boundary height were measured as indicators of decision policy shifts.

Main Results:

  • A switch in the optimal choice led to a decrease in drift rate and a slight increase in boundary height, inducing a slower exploratory state.
  • Drift rate was the primary driver of this policy shift, with boundary height showing a less consistent contribution.
  • Pupillary responses did not correlate with observed decision policy changes.

Conclusions:

  • Humans exhibit a predictable adjustment in their decision policies when faced with environmental changes.
  • The findings highlight the dominance of drift rate in mediating adaptive decision-making under changing reward contingencies.