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This study critiques using mathematical decision-making frameworks as psychological reality. It warns against conflating analytical tools with the cognitive processes they model, especially in perceptual decision making.

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Area of Science:

  • Cognitive Psychology
  • Decision Science
  • Mathematical Modeling

Background:

  • Bayesian decision-making frameworks are increasingly used to model cognitive processes.
  • Attributing psychological reality to components of these analytical tools is a common, yet potentially flawed, practice.

Purpose of the Study:

  • To evaluate the risk of over-attributing psychological reality to mathematical frameworks used in decision-making research.
  • To highlight the importance of considering alternative psychological theories for complex cognitive functions.

Main Methods:

  • Analysis of a mathematical framework derived from Bayesian decision making.
  • Critique of the framework's proposed psychological reality.

Main Results:

  • The framework successfully demonstrates suboptimal decision making but may overstate the psychological reality of its components.
  • This approach risks overlooking other plausible psychological theories for perceptual decision making.

Conclusions:

  • Caution is needed when interpreting mathematical models in psychology.
  • The success of an analytical tool does not automatically validate the psychological reality of its constituent parts.