Jove
Visualize
Contáctanos

Videos de Conceptos Relacionados

Reinforcement Schedules01:24

Reinforcement Schedules

547
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,...
547
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.2K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.2K
Observational Learning01:12

Observational Learning

1.1K
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...
1.1K
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.7K
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...
2.7K
Reinforcement01:23

Reinforcement

984
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:
984
Cognitive Learning01:21

Cognitive Learning

1.4K
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
1.4K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Comment on "explainable electronic medical record-based machine learning to predict 1-year incident protein-energy wasting in non-dialysis chronic kidney disease: A single-center development study".

Clinical nutrition ESPEN·2026
Same author

CyberDetect MLP a big data enabled optimized deep learning framework for scalable cyberattack detection in IoT environments.

Scientific reports·2025
Same author

Enhanced effective convolutional attention network with squeeze-and-excitation inception module for multi-label clinical document classification.

Scientific reports·2025
Same author

Intelligent wearable-assisted digital healthcare industry 5.0.

Artificial intelligence in medicine·2024
Same author

AI and Blockchain-Based Secure Data Dissemination Architecture for IoT-Enabled Critical Infrastructure.

Sensors (Basel, Switzerland)·2023
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Experimentos Relacionados

Aprendizaje profundo de refuerzo consciente de SLA para la programación adaptativa de tareas en EdgeCloud

Nagendar Yamsani1,2, Chenna Reddy P3

  • 1School of Computer Science and Artificial Intelligence, SR University, Warangal, Telangana, India. nag.res.tech@gmail.com.

Scientific reports
|February 20, 2026
PubMed
Resumen

No abstract available in PubMed .

Palabras clave:
aprendizaje profundo de refuerzocomputación Edge-Cloudmarco consciente de SLAacuerdos de nivel de servicioprogramación de tareas

Videos de Experimentos Relacionados