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Humans adapt their prediction strategies based on the environment. They use backward prediction in diverging scenarios and forward prediction in converging ones for efficient decision-making.

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Area of Science:

  • Cognitive Science
  • Decision-Making
  • Human Behavior

Background:

  • Intelligent decision-making relies on forming predictions about the world.
  • The prevailing view assumes humans exclusively use forward predictions (present to future).

Purpose of the Study:

  • To challenge the assumption of solely forward prediction.
  • To investigate the adaptive deployment of backward prediction (future to present) in decision-making.

Main Methods:

  • Conducted six preregistered experiments with 1,299 participants.
  • Utilized simple decision-making and complex planning tasks.
  • Analyzed prediction strategies in divergent and convergent environments.

Main Results:

  • Humans employ backward prediction in divergent environments where future possibilities exceed present ones.
  • Humans utilize forward prediction in convergent environments.
  • Adaptive prediction strategy deployment was observed across tasks.

Conclusions:

  • Human prediction is not limited to forward models.
  • Individuals flexibly switch between forward and backward prediction based on environmental demands.
  • This adaptive strategy enhances the efficiency of decision-making and planning.