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Related Concept Videos

Cognitivism01:17

Cognitivism

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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
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Cognitive Learning01:21

Cognitive Learning

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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...
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Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
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Cognitive Therapy01:25

Cognitive Therapy

147
Cognitive therapy, pioneered by Aaron T. Beck in the 1960s, is a structured approach to addressing psychological distress by focusing on the influence of thoughts on emotions and behaviors. All cognitive therapies involve the basic assumption that human beings have control over their feelings, and that how individuals feel about something depends on how they think about it. Unlike psychoanalytic methods that delve into unconscious processes or humanistic approaches emphasizing...
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Cerebral Hemispheres01:05

Cerebral Hemispheres

308
The human brain, a complex organ, is functionally divided into two cerebral hemispheres—left and right. These hemispheres are interconnected by a structure of paramount importance, the corpus callosum. This substantial bundle of neural fibers is not just a bridge between the hemispheres but a crucial element for the brain's comprehensive functioning. It enables efficient communication between the two hemispheres, allowing each side of the brain to control and receive sensory and motor...
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Language and Cognition01:27

Language and Cognition

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Presenting the COGNIFOG Framework: Architecture, Building Blocks and Road toward Cognitive Connectivity.

Toni Adame1, Emna Amri2, Grigoris Antonopoulos3

  • 1Fundació i2CAT, Gran Capità 2-4, 08034 Barcelona, Spain.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
Summary

COGNIFOG, a new cognitive fog framework, uses AI for autonomous IoT-edge-cloud operations. Early tests show improved network resource use, enhancing efficiency and reliability in computing environments.

Keywords:
IoTIoT-edge-cloud continuumcognitive connectivityconfidential computingedge computingfog computingintelligent systemsservice orchestration

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Area of Science:

  • Computer Science
  • Distributed Computing
  • Artificial Intelligence

Background:

  • Ubiquitous computing demands real-time processing, security, and energy efficiency.
  • Fog computing brings resources closer to data sources but faces challenges in heterogeneous environments.
  • Resource allocation, management, security, and connectivity are key issues in fog computing.

Purpose of the Study:

  • Introduce COGNIFOG, a novel cognitive fog framework.
  • Enable autonomous operation, adaptability, and scalability across the IoT-edge-cloud continuum.
  • Enhance efficiency and reliability in next-generation computing environments.

Main Methods:

  • Leveraging intelligent, decentralized decision-making processes.
  • Utilizing machine learning algorithms and distributed computing principles.
  • Integrating cognitive capabilities for autonomous management.

Main Results:

  • Preliminary results show promising improvements in network resource utilization.
  • Demonstrated enhanced efficiency in a real-world IoT scenario using connectivity-focused COGNIFOG blocks.
  • Indicated potential for increased reliability and seamless physical-digital integration.

Conclusions:

  • COGNIFOG offers a promising approach to address fog computing challenges.
  • The framework's cognitive capabilities are expected to boost efficiency and reliability.
  • Further development aims to enhance intelligence, resilience, and adaptability for evolving computing demands.