Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra. Schrödinger...
The Uncertainty Principle04:08

The Uncertainty Principle

Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He mathematically...
Probability in Statistics01:14

Probability in Statistics

Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
Probability Laws01:49

Probability Laws

Overview
Quantum Numbers02:43

Quantum Numbers

It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
The Pauli Exclusion Principle03:06

The Pauli Exclusion Principle

The arrangement of electrons in the orbitals of an atom is called its electron configuration. We describe an electron configuration with a symbol that contains three pieces of information:

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The development of probabilistic reasoning during early childhood.

Cognition·2025
Same author

Discourse on measurement.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

How can we make sound replication decisions?

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Fostering effective hybrid human-LLM reasoning and decision making.

Frontiers in artificial intelligence·2025
Same author

Counterfactual curiosity in real decisions: The roles of outcome valence and aging.

Psychonomic bulletin & review·2024
Same author

The impact of problem domain on Bayesian inferences: A systematic investigation.

Memory & cognition·2024
Same journal

Are language models models?

The Behavioral and brain sciences·2026
Same journal

Large language models illuminate the mechanistic underpinnings of the creative aspect of language use (CALU), long regarded as a mystery.

The Behavioral and brain sciences·2026
Same journal

LLMs as a platform for studying constraint interaction: Motivation and challenges.

The Behavioral and brain sciences·2026
Same journal

Beyond the data gap: Children create languages, violate their input statistics, and exhibit critical periods.

The Behavioral and brain sciences·2026
Same journal

Not-so-strange love: Language models and generative linguistic theories are more compatible than they appear.

The Behavioral and brain sciences·2026
Same journal

Rich data drive generalization: Lessons from machine learning for linguistics and cognitive science.

The Behavioral and brain sciences·2026
See all related articles

Related Experiment Videos

Why quantum probability does not explain the conjunction fallacy.

Katya Tentori1, Vincenzo Crupi

  • 1Center for Mind/Brain Sciences (CIMeC), Department of Psychology and Cognitive Sciences (PSC), University of Trento, Palazzo Fedrigotti, Corso Bettini, n. 31, 38068 Rovereto, Italy. katya.tentori@unitn.it

The Behavioral and Brain Sciences
|May 16, 2013
PubMed
Summary
This summary is machine-generated.

Formal models can explain human judgment under uncertainty, but Pothos & Busemeyer's quantum probability approach has limited support. Existing findings contradict or only partially support this quantum model for decision-making.

Related Experiment Videos

Area of Science:

  • Cognitive Science
  • Decision Making
  • Mathematical Psychology

Background:

  • Human judgment under uncertainty often deviates from classical probability theory.
  • Formal models, including quantum probability, are explored to capture these deviations.
  • Pothos & Busemeyer (P&B) proposed a quantum probability approach for modeling judgment.

Purpose of the Study:

  • To evaluate the applicability and empirical support for Pothos & Busemeyer's quantum probability model of human judgment.
  • To investigate whether existing findings support or contradict the quantum probability approach.

Main Methods:

  • Review and analysis of existing empirical findings related to human judgment under uncertainty.
  • Examination of the conjunction fallacy as a case study for evaluating formal models.

Main Results:

  • Existing empirical evidence provides limited support for Pothos & Busemeyer's quantum probability approach.
  • Several findings contradict the predictions of the quantum probability model.
  • The conjunction fallacy illustrates the limitations and contradictions observed.

Conclusions:

  • While formal tools are valuable for modeling judgment, the quantum probability approach by P&B faces empirical challenges.
  • Further research is needed to refine or develop alternative formal models that better account for human irrationality in decision-making.