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Related Concept Videos

Reason and Intuition01:37

Reason and Intuition

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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...
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Decision Making01:20

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Decision Making: Traditional Method01:14

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Heuristics01:21

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Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
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Decision Making: P-value Method01:09

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
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A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
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Irrational time allocation in decision-making.

Bastiaan Oud1, Ian Krajbich2, Kevin Miller3

  • 1Department of Economics and Laboratory for Social and Neural Systems Research, University of Zurich, Blümlisalpstrasse 10, Zurich 8006, Switzerland.

Proceedings. Biological Sciences
|January 15, 2016
PubMed
Summary
This summary is machine-generated.

People often misallocate valuable decision-making time, spending too long on difficult choices with low rewards. An intervention improved time efficiency, suggesting systematic inefficiencies in how organisms allocate time.

Keywords:
decision-makingevidence accumulationneuroeconomicsoptimalitysequential-sampling modelspeed-accuracy trade-off

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Area of Science:

  • Cognitive psychology
  • Behavioral economics
  • Neuroscience

Background:

  • Time is a valuable resource, yet its efficient allocation in decision-making is poorly understood.
  • Ecological evidence suggests optimal time allocation involves spending less time on difficult choices where reward differences are small.

Purpose of the Study:

  • To experimentally investigate human time allocation efficiency in value-based decision-making.
  • To determine if individuals allocate time optimally based on choice difficulty and potential reward.

Main Methods:

  • Participants engaged in value-based choice tasks with varying reward structures.
  • Time spent on decisions was recorded and analyzed.
  • An intervention was implemented to limit decision time.

Main Results:

  • Individuals consistently spent excessive time on choices with low reward differences (difficult choices).
  • Participants did not adjust their time allocation in response to incentives favoring high-reward choices.
  • The time-limiting intervention significantly improved subjects' time allocation efficiency.

Conclusions:

  • Humans exhibit suboptimal time allocation in value-based decision-making, contrary to theoretical predictions.
  • A simple intervention can correct inefficient time spending, highlighting a systematic bias.
  • This research offers insights into decision-making inefficiencies and potential corrective strategies.