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Related Experiment Video

Updated: May 3, 2026

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

Comments on quantum probability theory.

Steven Sloman¹

¹Cognitive, Linguistic, & Psychological Sciences, Brown University.

Topics in Cognitive Science

|February 1, 2014

Summary

This summary is machine-generated.

Quantum probability theory (QP) excels at attribute comparison judgments but struggles with judgments about proportions over sets of instances. This research evaluates QP

Keywords:

Cognition Nested sets Probability judgment Quantum probability

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Area of Science:

Cognitive science
Quantum probability theory
Decision-making

Background:

Quantum probability theory (QP) effectively models attribute comparison judgments (inside judgments).
Human judgment extends beyond attribute comparison to include proportions over sets (outside judgments).
Existing theories inadequately address outside judgments.

Purpose of the Study:

To evaluate the descriptive and normative adequacy of quantum probability theory for outside judgments.
To identify limitations of current quantum probability models in representing human proportional reasoning.

Main Methods:

Conceptual analysis of quantum probability theory's application to judgment and decision-making.
Comparison of QP's predictions with empirical findings on human proportional reasoning.

Main Results:

Quantum probability theory demonstrates limitations in accurately describing or prescribing judgments involving proportions over sets.
The theory's formalisms do not fully capture the complexities of human outside judgment.

Conclusions:

Quantum probability theory requires significant refinement to encompass the full spectrum of human judgment, particularly outside judgments.
Further research is needed to develop more comprehensive models of probabilistic reasoning.