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

Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

22.6K
When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
22.6K
Introduction to Limits01:30

Introduction to Limits

42
A limit describes the value a function approaches as its input moves closer to a particular point. Even when a function is undefined at a specific value, limits allow us to analyze its behavior near that point. This concept is fundamental in calculus and essential for understanding continuity, derivatives, and integrals.Mathematically, a function f(x) has a limit L at x = a if its values L approach x as x gets arbitrarily close to a. This is written as:This notation expresses that the function...
42
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

600
Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
600
Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

904
Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
904
Limits with Oscillating Discontinuities01:19

Limits with Oscillating Discontinuities

40
An oscillating discontinuity is a type of discontinuity in which a function’s values fluctuate infinitely often as the input approaches a particular point. Unlike jump discontinuities, where the function suddenly shifts between two values, or infinite discontinuities, where the function diverges without bound, an oscillating discontinuity arises from rapid back-and-forth variation. Because the function never stabilizes toward a single value, no finite limit exists at that point.One of the...
40
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

6.6K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
6.6K

You might also read

Related Articles

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

Sort by
Same author

Seeking New Information With Old Questions: Children and Adults Reuse and Recombine Concepts From Prior Questions.

Open mind : discoveries in cognitive science·2025
Same author

Correction: A Comprehensive Behavioral Dataset for the Abstraction and Reasoning Corpus.

Scientific data·2025
Same author

A Comprehensive Behavioral Dataset for the Abstraction and Reasoning Corpus.

Scientific data·2025
Same author

Rational causal induction from events in time.

Psychological review·2025
Same author

A timeline of cognitive costs in decision-making.

Trends in cognitive sciences·2025
Same author

"I don't want it in any form:" A qualitative study on black perceptions of buprenorphine in the fentanyl era.

Drug and alcohol dependence·2025
Same journal

Sublexical semantic decoding during incidental novel word learning in natural Chinese reading.

Cognitive psychology·2026
Same journal

Seeing, hearing, and feeling causation.

Cognitive psychology·2026
Same journal

Separating decision and motor contributions to behavioral biases induced by manipulating stimulus probability.

Cognitive psychology·2026
Same journal

Congruency drives "conflict adaptation" independent of conflict: Converging evidence from behavior and computational modeling.

Cognitive psychology·2026
Same journal

Corrigendum to "Network analyses identify critical factors for facilitating future-oriented decision-making" [Cogn. Psychol. 165 (2026) 101815].

Cognitive psychology·2026
Same journal

The time course of local coherence effects in German: Evidence from self-paced reading times and event-related potentials.

Cognitive psychology·2026
See all related articles

Related Experiment Video

Updated: Nov 1, 2025

Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

8.7K

Limits on simulation approaches in intuitive physics.

Ethan Ludwin-Peery1, Neil R Bramley2, Ernest Davis3

  • 1Department of Psychology, NYU, New York, United States.

Cognitive Psychology
|June 19, 2021
PubMed
Summary
This summary is machine-generated.

Human physical reasoning may not rely on mental simulations. New research identifies core simulation tenets that conflict with general cognition, challenging simulation theories through experimental evidence.

Keywords:
Commonsense reasoningConjunction fallacyInferenceIntuitive physicsMental simulationPredictionReasoning

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

4.7K
Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

15.3K

Related Experiment Videos

Last Updated: Nov 1, 2025

Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

8.7K
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

4.7K
Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

15.3K

Area of Science:

  • Cognitive Science
  • Psychology
  • Human Cognition

Background:

  • A dominant theory suggests physical reasoning stems from mental simulations.
  • This involves repeatedly simulating scenarios with noise to make judgments.

Purpose of the Study:

  • To identify core tenets of simulation approaches to physical reasoning.
  • To test the viability of simulation theories against experimental data.

Main Methods:

  • Defined three essential theoretical commitments for simulation approaches.
  • Conducted three experiments on simple physical judgments and predictions.

Main Results:

  • Identified simulation tenets that appear incompatible with broader cognitive principles.
  • Experimental results challenge fundamental predictions of mental simulation theories.

Conclusions:

  • Simulation approaches may not adequately explain human physical reasoning.
  • Further research is needed to reconcile simulation tenets with cognitive science findings.