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

Lung Capacity01:47

Lung Capacity

56.3K
The air in the lungs is measured in volumes and capacities. Lung volume measures reflect the amount of air taken in, released, or left over after a lung function, like a single inhalation. Lung capacity measures are sums of two or more lung volume measures.
56.3K
Respiratory Capacities01:24

Respiratory Capacities

1.4K
Respiratory capacities are crucial indicators of lung function, representing the maximum amount of air an individual's respiratory system can handle during various breathing phases.
One key metric is the Inspiratory Capacity (IC), which represents the maximum amount of air that can be inhaled with full effort. IC is calculated by summing the tidal volume and inspiratory reserve volume, typically ranging from 2.4 to 3.6 liters.
The Functional Residual Capacity (FRC) represents the air in the...
1.4K
Buffers: Buffer Capacity01:09

Buffers: Buffer Capacity

2.4K
Buffer capacity is the quantitative measure of a buffer to resist the change in pH. As shown in the following equation, the buffer capacity, denoted by 'beta', is expressed as the number of moles of acid or base needed to change the pH of a one-liter buffer solution by 1 unit. Here, Ca and Cb indicate the number of moles of acid and base, respectively. Note that dpH represents the change in pH.
In the graph, pH is plotted as a function of the number of moles of base (Cb) added to a weak...
2.4K
Respiratory Volumes and Capacities01:22

Respiratory Volumes and Capacities

5.5K
The respiratory system is responsible for the intake of oxygen and the expulsion of carbon dioxide from the body. Respiratory volumes describe the volume of air in the lungs at different phases of the respiratory cycle. Tidal volume is the air breathed in and out during normal, quiet breathing. Inspiratory reserve volume is the air that can be forcefully inspired beyond the tidal volume. In contrast, expiratory reserve volume refers to the air that can be expelled from the lungs after a normal...
5.5K
Respiratory Volumes and Capacities I01:26

Respiratory Volumes and Capacities I

1.7K
Assessing the respiratory rate and rhythm for a complete minute is crucial for evaluating the breathing pattern. Even a minor increase in the patient's average respiratory rate, by as little as three to five breaths per minute, is an early and vital indicator of respiratory distress. Patients with a respiratory rate exceeding twenty-four breaths per minute require close monitoring to determine the physiological alterations. This careful observation is essential for prompt recognition and...
1.7K
Heat Capacity: Problem-Solving01:17

Heat Capacity: Problem-Solving

1.6K
The heat capacity of a gas is the amount of heat energy required to raise the temperature of a unit mass of gas by one degree Celsius. It is an important thermodynamic property of gases, and its determination is essential in many industrial and scientific applications. Here are the steps to solve problems related to the heat capacities of gases:
Determine the type of gas: The heat capacity of a gas depends on its molecular structure and the degree of freedom of its molecules. Different types of...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Postdiction and the speed of consciousness.

The Behavioral and brain sciences·2026
Same author

Consciousness science as a marketplace of rationalizations.

The Behavioral and brain sciences·2026
Same author

Biased and inattentive responding contribute to apparent metacognitive biases in mental health.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Part-whole effects in visual number estimation.

Attention, perception & psychophysics·2026
Same author

"Core Perception": Re-imagining Precocious Reasoning as Sophisticated Perceiving.

The Behavioral and brain sciences·2025
Same author

Event-based warping: A relative distortion of time within events.

Journal of experimental psychology. General·2025
Same journal

How Does the Mind Grow? Cross-Cultural Intuitive Theories of Mental Development.

Psychological science·2026
Same journal

Not All Practice Is Created Equal: Longitudinal Evidence From Over 40,000 Chess Players.

Psychological science·2026
Same journal

Eye Glint as a Novel Perceptual Cue in Human Vision.

Psychological science·2026
Same journal

Multitarget Visual Search Flexibly Switches Between Concurrent and Sequential Search Modes.

Psychological science·2026
Same journal

Motive Alignment Promotes Adolescents' Proenvironmental Behavior: A Field Experiment in Two Cultures.

Psychological science·2026
Same journal

Retributive Sentiments Track Both Deterrent and Compensatory Concerns in a Small-Scale Society and a WEIRD Sample.

Psychological science·2026
See all related articles
  1. Home
  2. Pretending Not To Know Reveals A Capacity For Model-based Self-simulation.
  1. Home
  2. Pretending Not To Know Reveals A Capacity For Model-based Self-simulation.

Related Experiment Video

A Model to Simulate Clinically Relevant Hypoxia in Humans
09:54

A Model to Simulate Clinically Relevant Hypoxia in Humans

Published on: December 22, 2016

9.4K

Pretending Not to Know Reveals a Capacity for Model-Based Self-Simulation.

Matan Mazor1, Chaz Firestone2, Ian Phillips2

  • 1Department of Experimental Psychology and All Souls College, University of Oxford.

Psychological Science
|February 3, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

People can convincingly pretend to lack knowledge by simulating how they would decide without it. This study shows individuals accurately mimic genuine decision-making, revealing insights into cognitive self-simulation.

Keywords:
metacognitionpretensetheory of mind

More Related Videos

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

3.2K
Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training
05:04

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training

Published on: August 9, 2024

1.8K

Related Experiment Videos

A Model to Simulate Clinically Relevant Hypoxia in Humans
09:54

A Model to Simulate Clinically Relevant Hypoxia in Humans

Published on: December 22, 2016

9.4K
Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

3.2K
Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training
05:04

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training

Published on: August 9, 2024

1.8K

Area of Science:

  • Cognitive Science
  • Psychology
  • Behavioral Economics

Background:

  • Pretending ignorance involves simulating decision-making under counterfactual conditions.
  • Understanding this capacity sheds light on metacognitive processes and self-simulation.

Purpose of the Study:

  • To investigate the human ability to simulate decision-making while pretending to lack specific knowledge.
  • To analyze the accuracy and characteristics of such simulated decision-making.

Main Methods:

  • Two game-based experiments were conducted with 1,001 English-speaking adults.
  • Participants were shown game solutions but instructed to play as if they were unaware.
  • Behavioral data (guesses, decision time) were collected and analyzed using statistical and computational modeling.

Main Results:

  • Pretenders accurately mimicked general aspects of genuine play, including solution time and patterns related to uncertainty.
  • Decision uncertainty influenced decision time similarly in both genuine and pretended ignorance conditions.
  • While peers could not detect pretense, statistical analysis revealed subtle "overacting" in pretenders' decisions.

Conclusions:

  • Individuals possess a capacity for simulating decision-making under counterfactual ignorance.
  • This simulation involves a schematic, simplified internal model of cognition.
  • The findings offer a novel approach to studying self-simulation and metacognitive knowledge.