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

Observational Learning01:12

Observational Learning

118
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
118
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

1.7K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
1.7K
Reinforcement Schedules01:24

Reinforcement Schedules

126
Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
126
Reinforcement01:23

Reinforcement

172
Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
172
Associative Learning01:27

Associative Learning

276
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...
276
Predator-Prey Interactions02:39

Predator-Prey Interactions

16.0K
Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.
16.0K

You might also read

Related Articles

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

Sort by
Same author

Targeting EZH2-driven cholesterol metabolic vulnerability through Napabucasin suppresses ovarian cancer metastasis.

Cell death & disease·2026
Same author

One Model, Many Cities: A Transferable Social Relationship Inference Framework for Human Mobility Data.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems·2026
Same author

Randomized Trial of Adjunctive Prednisolone for Kawasaki Disease.

The New England journal of medicine·2026
Same author

Phenotyping preserved ratio impaired spirometry (PRISm) using quantitative high-resolution computed tomography imaging features.

Quantitative imaging in medicine and surgery·2026
Same author

Glucosamine induces apoptosis of cholangiocarcinoma cells by suppressing high-mannose type <i>N</i>-glycosylation and EGFR/STAT3 signaling.

Future science OA·2026
Same author

CRISP3, a Potential Tumor Suppressor, Inhibits the Progression of High-Grade Serous Ovarian Carcinoma by Modulating the PI3K/AKT Pathway.

Biomedicines·2026
Same journal

A Matrix Block-Based Physics-Informed Probabilistic Quality-Relevant Monitoring Model.

IEEE transactions on cybernetics·2026
Same journal

A Knowledge-Guided Weight Optimization Method Based on Augmented Lagrangian for Active Suspension Preview Control.

IEEE transactions on cybernetics·2026
Same journal

A New Human-Likeness and Comfort Index for Robot Movements Along Prescribed Paths.

IEEE transactions on cybernetics·2026
Same journal

Robust Semiglobal and Global Stabilization for Nonlinear Normal Form Systems by Time-Varying Feedback.

IEEE transactions on cybernetics·2026
Same journal

Adaptive Global Asymptotic Output Stabilization of Uncertain Nonlinear Systems Under Dynamic State/Input Quantization.

IEEE transactions on cybernetics·2026
Same journal

Accelerated Distributed Gradient Tracking for Constrained Aggregative Optimization Over Time-Varying Digraphs.

IEEE transactions on cybernetics·2026
See all related articles

Related Experiment Video

Updated: May 24, 2025

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
08:24

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

Published on: August 25, 2023

613

Payoff Control in Multichannel Games: Influencing Opponent Learning Evolution.

Juan Shi, Chen Chu, Guoxi Fan

    IEEE Transactions on Cybernetics
    |March 3, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces payoff control strategies for multichannel learning environments. These strategies enable agents to bound opponent payoffs and guide learning toward desired equilibria, confirmed by experiments.

    More Related Videos

    Automated Interactive Video Playback for Studies of Animal Communication
    07:21

    Automated Interactive Video Playback for Studies of Animal Communication

    Published on: February 9, 2011

    13.3K
    Operant Learning of Drosophila at the Torque Meter
    17:31

    Operant Learning of Drosophila at the Torque Meter

    Published on: June 16, 2008

    13.5K

    Related Experiment Videos

    Last Updated: May 24, 2025

    The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
    08:24

    The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

    Published on: August 25, 2023

    613
    Automated Interactive Video Playback for Studies of Animal Communication
    07:21

    Automated Interactive Video Playback for Studies of Animal Communication

    Published on: February 9, 2011

    13.3K
    Operant Learning of Drosophila at the Torque Meter
    17:31

    Operant Learning of Drosophila at the Torque Meter

    Published on: June 16, 2008

    13.5K

    Area of Science:

    • Artificial Intelligence
    • Game Theory
    • Multi-Agent Systems

    Background:

    • Agents interact in multichannel environments, with each channel being a repeated normal form game.
    • Controlling opponent payoffs is challenging, especially with reinforcement learning agents.

    Purpose of the Study:

    • Introduce a novel theory for payoff control in multichannel learning.
    • Develop strategies to bound an opponent's expected payoffs across multiple channels.

    Main Methods:

    • Propose partial and full payoff control strategies.
    • Prove strategy existence by solving systems of inequalities.
    • Analyze conditions for strategy viability.

    Main Results:

    • Demonstrate that agents can influence opponent learning evolution.
    • Show that control strategies can direct learning toward desired viable equilibria.
    • Experimental validation across diverse multichannel environments.

    Conclusions:

    • The proposed payoff control theory is effective in multichannel learning.
    • Partial and full control strategies offer viable methods for influencing multi-agent learning outcomes.