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An overview of the quantum cognition research program.

Jiaqi Huang1, Gunnar Epping2, Jennifer S Trueblood2

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Quantum probability theory offers new models for cognitive processes, explaining puzzling psychological phenomena like judgment fallacies and decision-making effects. This review explores quantum cognitive models across various psychology domains.

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Area of Science:

  • Cognitive Science
  • Quantum Probability Theory
  • Psychology

Background:

  • Traditional probability theory struggles to explain certain cognitive phenomena.
  • Psychological findings in judgment and decision-making present unique challenges.
  • Quantum probability offers a novel framework for modeling these complexities.

Purpose of the Study:

  • To review the application of quantum probability theory to cognitive modeling.
  • To examine quantum cognitive models across diverse areas of psychology.
  • To critically evaluate the explanatory power of these models compared to non-quantum approaches.

Main Methods:

  • Reviewing empirical psychological findings that motivated quantum model development.
  • Discussing specific quantum cognitive models and their features.
  • Comparing quantum models with existing non-quantum psychological models.

Main Results:

  • Quantum cognitive models provide explanations for phenomena such as conjunction/disjunction fallacies, conceptual combinations, and order effects.
  • Models address puzzling aspects of probabilistic judgment, similarity, causal inference, and decision-making.
  • Quantum approaches offer insights into interference effects, memory, and perception.

Conclusions:

  • Quantum probability theory provides a powerful framework for understanding complex cognitive processes.
  • Quantum cognitive models successfully explain previously puzzling empirical findings in psychology.
  • Further research and critical comparison with non-quantum models are essential for advancing the field.