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

Cognitive Learning01:21

Cognitive Learning

1.2K
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...
1.2K
Cognitive Dissonance01:38

Cognitive Dissonance

37.5K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
37.5K
Reinforcement01:23

Reinforcement

934
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:
934
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

17.8K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
17.8K
Reinforcements in Concrete01:25

Reinforcements in Concrete

478
Reinforced concrete is a composite material used extensively in construction, combining the compressive strength of concrete with the tensile strength of steel. This synergy is essential as concrete, while excellent at resisting compression, is weak under tension. Steel bars, or rebars, are embedded in the concrete to handle these tensile forces. The choice of steel is strategic; it shares a similar coefficient of thermal expansion with concrete, which ensures uniformity in response to...
478
Corrosion of Reinforcement01:27

Corrosion of Reinforcement

586
The corrosion of steel reinforcement within concrete is a process influenced by the material's inherent properties and external factors. The high pH level of around 13, provided by calcium hydroxide present in concrete, initially protects the steel reinforcement by promoting the formation of a passive iron oxide layer on its surface.
However, over time and under certain conditions like carbonation, chloride ingress, and cracking this protective state can be compromised. Steel has areas with...
586

You might also read

Related Articles

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

Sort by
Same author

Multiscale interface engineering in biohybrid composites for biomedical applications.

Materials today. Bio·2025
Same author

DSTF-GKAN: A lightweight spatiotemporal fusion framework for real-time eavesdropping detection in dynamic smart grid networks.

PloS one·2025
Same author

Corrigendum to "Astragulus embranaceus (Fisch.) Bge-Dioscorea opposita Thunb herb pair ameliorates sarcopenia in senile type 2 diabetes mellitus through Rab5a/mTOR-mediated mitochondrial dysfunction" [J. Ethnopharmacol. 317 (2023) 116737].

Journal of ethnopharmacology·2025
Same author

Traditional Chinese medicine in cerebral infarction: Integrative strategies and future directions.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2025
Same author

Ursolic acid attenuates sarcopenia through IL-17a-related gut-muscle axis in senile diabetic mice and myotube model.

The Journal of nutritional biochemistry·2025
Same author

Advanced Modular Honeycombs with Biomimetic Density Gradients for Superior Energy Dissipation.

Biomimetics (Basel, Switzerland)·2025
Same journal

Therapeutic potential of crude protein extracts from two Egyptian freshwater snails Lanistes carinatus and Bellamya unicolor.

Scientific reports·2026
Same journal

Microbial contamination of donor corneas and post-keratoplasty endophthalmitis: a comparison between Japanese and U.S. eye banks using cold storage.

Scientific reports·2026
Same journal

Prevalence and contributing factors of virological non-suppression among adult patients on first-line antiretroviral therapy in tertiary hospitals in Ethiopia.

Scientific reports·2026
Same journal

An in vitro comparison of color stability between alkasite and different restorative materials in various staining solutions.

Scientific reports·2026
Same journal

Toward accessible mRNA LNP formulation: systematic evaluation of mixing strategies and key parameters.

Scientific reports·2026
Same journal

A network analysis of personality traits, mentalizing, and psychological health in Chinese college students.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Feb 9, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.1K

A cognitive internet of things resource allocation method based on multi-agent reinforcement learning algorithm.

Rong Wang1, Yanjin Shen1, Dongtao Wang2

  • 1Hunan Automotive Engineering Vocational University, Zhuzhou, 412000, China.

Scientific Reports
|February 7, 2026
PubMed
Summary
This summary is machine-generated.

This study optimizes resource allocation for cognitive Internet of Things (CIoT) in vehicles to minimize Age of Information (AoI). The improved multi-agent proximal policy optimization (IMAPPO) algorithm significantly reduces data latency for connected vehicles.

Keywords:
Age of informationCognitive vehicular networkingMulti-agent reinforcement learningResource allocation

More Related Videos

Novel Apparatus and Method for Drug Reinforcement
07:32

Novel Apparatus and Method for Drug Reinforcement

Published on: August 20, 2010

19.9K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K

Related Experiment Videos

Last Updated: Feb 9, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.1K
Novel Apparatus and Method for Drug Reinforcement
07:32

Novel Apparatus and Method for Drug Reinforcement

Published on: August 20, 2010

19.9K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K

Area of Science:

  • Wireless Communication
  • Internet of Things
  • Artificial Intelligence

Background:

  • Inter-vehicle communication faces challenges from dynamic spectrum access and channel conditions.
  • Timeliness is critical for high-speed vehicle networks, making Age of Information (AoI) a key performance metric.

Purpose of the Study:

  • To minimize the Age of Information (AoI) in cognitive Internet of Things (CIoT) networks for vehicles.
  • To address joint channel selection and power control for resource allocation under high-speed mobility.

Main Methods:

  • Modeling the problem as a Markov Decision Process (MDP) with a custom reward function.
  • Employing a multi-agent reinforcement learning approach with vehicles as agents.
  • Proposing an improved Multi-agent Proximal Policy Optimization (IMAPPO) algorithm with enhanced Actor networks for hybrid action spaces.

Main Results:

  • The proposed IMAPPO algorithm effectively manages resource allocation in dynamic vehicular environments.
  • Simulations confirm the algorithm's feasibility and effectiveness in reducing system AoI.
  • The CIoT resource allocation scheme significantly outperforms alternative methods in lowering AoI for vehicle users.

Conclusions:

  • The IMAPPO algorithm provides an effective solution for resource allocation in CIoT vehicular networks.
  • Optimizing AoI is crucial for real-time applications in connected and autonomous vehicles.
  • This research advances intelligent resource management for future vehicular communication systems.