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

Role of Shaping in Operant Conditioning01:19

Role of Shaping in Operant Conditioning

338
Shaping is a technique used in operant conditioning to train complex behaviors by rewarding successive approximations toward the target behavior. This method is necessary because organisms are unlikely to perform complex behaviors spontaneously. Instead, shaping breaks down the desired behavior into small, manageable steps.
The steps involved in shaping begin with reinforcing any response that resembles the desired behavior. For example, parents might praise a child for picking up one toy. As...
338
Continuous Charge Distributions01:17

Continuous Charge Distributions

6.9K
Imagine a bucket of water. It contains many molecules, of the order of 1026 molecules. Thus, although it contains discrete elements (molecules) at the microscopic level, macroscopically, it can be considered continuous. Small volume elements of water, infinitesimal compared to the bulk of the bucket's volume, still contain many molecules. Under this framework, quantized matter is approximated as continuous for practical purposes.
The electric charge can also be subjected to an analogical...
6.9K
Associative Learning01:27

Associative Learning

407
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
407
Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

596
Classical conditioning not only includes the initial pairing of stimuli but also extends to more complex forms, such as higher-order conditioning. Higher-order conditioning involves creating associations beyond the primary conditioned stimulus, resulting in a chain of conditioned responses.
Higher-order, or second-order, conditioning occurs when a neutral stimulus becomes associated with an already established conditioned stimulus through repeated pairings. For instance, if a dog has been...
596
Charging Conductors By Induction01:15

Charging Conductors By Induction

7.8K
The Earth is a good conductor of electricity, and it is so big that it can be considered an infinite source or sink of charges. It can easily exchange charges with any matter.
Generally, conductors like metals do not allow any excess charge to be present on them. Any excess charge added to metals easily flows away, for example, when a metal is placed on the Earth. This process is called earthing.
However, conductors can be charged by a process called induction. For example, consider charging a...
7.8K
Electric Field of a Charged Disk01:23

Electric Field of a Charged Disk

2.2K
The simplest case of a surface charge distribution is the uniformly charged disk. Calculating its electric field also helps us calculate the electric field of a large plane of charge.
The system's symmetry is in the cylindrical directions across the plane of the charge. As a result, the electric fields created by various surface charge elements nullify each other in the direction parallel to the surface. Thereby, the resulting electric field is perpendicular to the plane. Since the disk is...
2.2K

You might also read

Related Articles

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

Sort by
Same author

An Information-Theoretic Model of Abduction for Detecting Hallucinations in Explanations.

Entropy (Basel, Switzerland)·2026
Same author

Shaped-Charge Learning Architecture for the Human-Machine Teams.

Entropy (Basel, Switzerland)·2023
Same author

Revealing the set of mutually correlated positions for the protein families of immunoglobulin fold.

In silico biology·2003
See all related articles

Related Experiment Video

Updated: Jul 10, 2025

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
11:15

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Published on: February 20, 2014

13.1K

Applications of Shaped-Charge Learning.

Boris Galitsky1

  • 1Knowledge-Trail, Los Banos, CA 93635, USA.

Entropy (Basel, Switzerland)
|November 24, 2023
PubMed
Summary
This summary is machine-generated.

The novel "shaped charge" architecture combines deep learning with explainable kNN, enhancing AI team performance and trustworthiness in tasks like question answering and content creation.

Keywords:
deep and nearest neighbor learningmachine learning support for human–machine teamsstructural entropy production

More Related Videos

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity
11:56

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity

Published on: November 11, 2017

15.4K
Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice
06:04

Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice

Published on: March 4, 2014

21.0K

Related Experiment Videos

Last Updated: Jul 10, 2025

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
11:15

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Published on: February 20, 2014

13.1K
Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity
11:56

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity

Published on: November 11, 2017

15.4K
Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice
06:04

Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice

Published on: March 4, 2014

21.0K

Area of Science:

  • Artificial Intelligence
  • Machine Learning
  • Explainable AI (XAI)

Background:

  • Deep neural networks (DNNs) exhibit limitations in explainability and adversarial attack defense.
  • These limitations pose risks for autonomous systems, particularly in maintaining team structure stability.

Purpose of the Study:

  • To empirically validate the
  • shaped charge
  • architecture for AI applications.
  • To assess its effectiveness in improving performance and usability in team-based AI tasks.

Main Methods:

  • Integration of deep learning (DNN) with explainable k-nearest neighbors (kNN) learning.
  • Development of a novel meta-learning/DNN → kNN architecture named "shaped charge".
  • Evaluation across diverse natural language processing tasks including summarization, question answering, and content creation.

Main Results:

  • Significant performance improvements observed across all evaluated tasks.
  • Enhanced usability reported for team members interacting with the AI system.
  • Substantial gains in question answering accuracy and truthfulness of generated content.

Conclusions:

  • The "shaped charge" architecture effectively addresses DNN limitations in explainability and adversarial robustness.
  • This approach offers a promising solution for developing more reliable and trustworthy AI systems for team collaboration.