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

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

841
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
841
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

696
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
696
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

1.4K
Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
1.4K
Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

29.7K
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...
29.7K
Kinematic Equations for Rotation01:30

Kinematic Equations for Rotation

979
In mechanics, when one observes a rigid body in rotational motion with constant angular acceleration, it is possible to establish equations for its rotational kinematics. This process resembles how linear kinematics are dealt with in simpler motion studies.
For instance, imagine a point A on a rigid body engaged in circular motion. The translational velocity of this particular point can be calculated by taking the time derivatives of the displacement equation, which essentially measures the...
979
Kinematic Equations - III01:18

Kinematic Equations - III

12.5K
The first two kinematic equations have time as a variable, but the third kinematic equation is independent of time. This equation expresses final velocity as a function of the acceleration and distance over which it acts. The fourth kinematic equation does not have an acceleration term and provides the final position of the object at time t in terms of the initial and final velocities. This equation is useful when the value of the constant acceleration is unknown.
Using the kinematic equations,...
12.5K

You might also read

Related Articles

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

Sort by
Same author

Antagonistic effects of predator color morph abundance and saliency on prey anti-predator responses.

Behavioral ecology : official journal of the International Society for Behavioral Ecology·2025
Same author

A statistical method for identifying different rules of interaction between individuals in moving animal groups.

Journal of the Royal Society, Interface·2021
Same author

Linking hunting weaponry to attack strategies in sailfish and striped marlin.

Proceedings. Biological sciences·2020
Same author

Collective decision-making appears more egalitarian in populations where group fission costs are higher.

Biology letters·2019
Same author

Injury-mediated decrease in locomotor performance increases predation risk in schooling fish.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2017
Same author

Escape path complexity and its context dependency in Pacific blue-eyes (<i>Pseudomugil signifer</i>).

The Journal of experimental biology·2017

Related Experiment Video

Updated: Mar 29, 2026

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

13.2K

A Turing test for collective motion.

J E Herbert-Read1, M Romenskyy2, D J T Sumpter2

  • 1Department of Mathematics, Uppsala University, Uppsala 75106, Sweden james.herbert.read@gmail.com.

Biology Letters
|December 4, 2015
PubMed
Summary

Researchers developed a modified Turing test using citizen science to evaluate biological models. Even with matching statistics, the public could distinguish model-generated data from real fish schools, showing models need refinement.

Keywords:
Alan Turingcitizen sciencecollective motion

More Related Videos

One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

28.6K
Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

1.5K

Related Experiment Videos

Last Updated: Mar 29, 2026

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

13.2K
One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

28.6K
Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

1.5K

Area of Science:

  • Collective behavior
  • Computational biology
  • Biophysics

Background:

  • Assessing model fit to real-world biological data is challenging.
  • Statistical similarity does not guarantee adequate model description.
  • Existing methods may not capture nuanced data characteristics.

Purpose of the Study:

  • To develop and validate a novel method for assessing biological model fitting effectiveness.
  • To evaluate if models capturing large-scale statistical properties are sufficient.
  • To leverage citizen science for cross-validation of biological models.

Main Methods:

  • Constructed a self-propelled particle model mimicking fish school properties (order, cohesion).
  • Implemented a modified Turing test where the public distinguished real fish schools from model simulations.
  • Utilized citizen science participants to assess model performance.

Main Results:

  • The public could reliably distinguish between real fish school movements and model-generated movements.
  • Despite statistical congruence, the model's output was discernible from real data.
  • Citizen science effectively highlighted limitations in the model's realism.

Conclusions:

  • Statistical matching alone is insufficient for validating biological models.
  • A Turing test-inspired approach using citizen science can reveal model inadequacies.
  • This method offers a powerful tool for refining models in collective behavior and other biological systems.