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

Decision Making01:20

Decision Making

217
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
217
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.1K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.1K
Reason and Intuition01:37

Reason and Intuition

6.9K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.9K
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.6K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.6K
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

744
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
744
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.3K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.3K

You might also read

Related Articles

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

Sort by
Same author

Radical Cascades on Seawater Microdroplets Drive Atmospheric Mercury Oxidation.

Journal of the American Chemical Society·2026
Same author

Making LLM Predictions Interpretable: Fine-Tuning GPT-4o for Early Discontinuation of Cancer Medication.

Studies in health technology and informatics·2026
Same author

Pathophysiological crosstalk between chronic obstructive pulmonary disease and type 2 diabetes mellitus: implications for SGLT2 inhibitor-based intervention.

Current medical research and opinion·2026
Same author

A Universal AgP<sub>2</sub> Nanowire Modification Method Enabling Durable Anodes for Alkaline Seawater Electrolysis.

ACS applied materials & interfaces·2026
Same author

Aging-Induced Downregulation of DNA Polymerase β Impairing Base Excision Repair Causes Testicular Dysfunction.

Reproductive sciences (Thousand Oaks, Calif.)·2026
Same author

Demographic and Clinicopathologic Factors Associated With Colorectal Adenoma Recurrence.

JAMA network open·2026

Related Experiment Video

Updated: Sep 6, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

654

Quantum decision making in automatic driving.

Qingyuan Song1,2, Weiping Fu3,4, Wen Wang1

  • 1Xi'an University of Technology, Xi'an, China.

Scientific Reports
|June 30, 2022
PubMed
Summary
This summary is machine-generated.

Quantum Game Theory (QGT) offers a more realistic approach to autonomous driving systems (ADS) by modeling irrational human behavior in traffic interactions. This quantum decision model outperforms classical methods in predicting complex driving scenarios.

More Related Videos

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.6K
A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.1K

Related Experiment Videos

Last Updated: Sep 6, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

654
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.6K
A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.1K

Area of Science:

  • Decision Theory
  • Autonomous Driving Systems (ADS)
  • Quantum Game Theory (QGT)

Background:

  • Estimating behavior intention and interaction between autonomous vehicles (AV) and human drivers is crucial for ADS safety.
  • Classical decision theory assumes rational human behavior, which contradicts observed irrationality in real-world traffic scenarios.
  • Quantum decision theory offers a novel framework to address these irrationalities.

Purpose of the Study:

  • To explore decision-making in a two-car game scenario using quantum decision theory.
  • To compare the efficacy of Quantum Game Theory (QGT) against the Cumulative Prospect Theory (CPT) model for irrational behavior.
  • To evaluate the suitability of QGT for autonomous vehicle (AV) behavior decision-making.

Main Methods:

  • Application of Quantum Game Theory (QGT) to a two-car game interaction model.
  • Comparative analysis of QGT with the Cumulative Prospect Theory (CPT) model and classical probability models.
  • Evaluation of model performance in explaining traffic behavior phenomena like the separation effect.

Main Results:

  • Quantum Game Theory (QGT) successfully explains the separation effect, a phenomenon not captured by classical probability models.
  • QGT demonstrates superior performance compared to the Cumulative Prospect Theory (CPT) model in game-scene decision-making.
  • The QGT model accounts for mutual interests and perspectives in inter-vehicle interactions.

Conclusions:

  • Quantum Game Theory (QGT) provides a more realistic framework for modeling autonomous driving system (ADS) decision-making.
  • QGT's ability to incorporate irrationality and mutual perspectives offers advantages over classical and CPT models.
  • This research highlights the potential of quantum decision theory in advancing autonomous vehicle interaction strategies.