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Although optimal models are useful, optimality claims are not that common.

Claire Chambers1, Konrad Paul Kording1

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Human behavior is often called optimal, but research shows systematic suboptimality. This study explores these concepts, highlighting the value of the Bayesian approach despite behavioral "weirdness".

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Area of Science:

  • Cognitive Science
  • Behavioral Economics
  • Decision Making

Background:

  • The concept of
  • optimal
  • human behavior is prevalent.
  • However, numerous studies demonstrate suboptimal decision-making patterns.
  • Reconciling these perspectives is crucial for understanding behavior.

Purpose of the Study:

  • To critically examine the literature on optimal versus suboptimal human behavior.
  • To discuss the implications of systematic suboptimality in behavioral research.
  • To evaluate the continued relevance of the Bayesian approach in light of behavioral "weirdness".

Main Methods:

  • Literature review and conceptual analysis.
  • Discussion of empirical findings on suboptimality.
  • Theoretical integration of Bayesian models with observed behavior.

Main Results:

  • Human behavior exhibits systematic deviations from optimality.
  • The prevalence of suboptimality challenges purely optimal models.
  • The Bayesian framework remains valuable for modeling behavior, even with its complexities.

Conclusions:

  • Acknowledging the
  • systematic weirdness
  • of human behavior is essential.
  • Suboptimal patterns do not invalidate normative models like the Bayesian approach.
  • Future research should integrate both normative and descriptive aspects of decision-making.