Related Experiment Video
Updated: May 11, 2026
11:03
An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
Published on: December 4, 2017
Physics envy: trying to fit a square peg into a round hole
James Shanteau1, David J Weiss
1Department of Psychology, Bluemont Hall, Kansas State University, Manhattan, KS 66506, USA. shanteau@k-state.edu
The Behavioral and Brain Sciences
|May 16, 2013
Summary
Classical probability (CP) accurately models decision-making, despite arguments for quantum probability. CP remains vital for scientific research and interdisciplinary collaboration.
Area of Science:
- Decision science
- Cognitive psychology
- Quantum cognition
Background:
- Classical probability (CP) is a foundational framework in decision-making research.
- Pothos & Busemeyer propose replacing CP with quantum probability for human decision processes.
Purpose of the Study:
- To evaluate the continued relevance of classical probability in decision-making research.
- To contest the complete supplantation of CP by quantum probability.
Main Methods:
- Conceptual analysis of probability frameworks.
- Review of existing decision-making research and interdisciplinary applications.
Main Results:
- Classical probability, while not perfectly descriptive, is a valuable prescriptive framework.
- CP's established role across scientific disciplines facilitates interdisciplinary collaboration.
Conclusions:
- Classical probability should not be entirely supplanted by quantum probability.
- CP remains a crucial tool for scientific inquiry and collaboration.
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