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Related Concept Videos

Cognitive Learning01:21

Cognitive Learning

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...
Concepts and Prototypes01:24

Concepts and Prototypes

The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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...
Cognitivism01:17

Cognitivism

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 information is...
Information Processing Approach01:30

Information Processing Approach

The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is also...
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint Vincent in...

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In Vivo Calcium Imaging of Granule Cells in the Dentate Gyrus of Hippocampus in Mice
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Interpreting concept learning in cognitive informatics and granular computing.

Yiyu Yao1

  • 1Department of Computer Science, University of Regina, Regina, SK S4S 0A2, Canada. yyao@cs.uregina.ca

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|April 4, 2009
PubMed
Summary

Cognitive informatics and granular computing explore information processing using concepts. This study proposes a conceptual framework for concept learning, integrating these fields through a layered knowledge discovery model.

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Area of Science:

  • Information Science
  • Computer Science
  • Cognitive Science

Background:

  • Cognitive informatics and granular computing are emerging fields focused on information and knowledge processing.
  • Information and knowledge granularity is central to these fields.
  • Concepts are fundamental units of thought crucial for integrating these disciplines.

Purpose of the Study:

  • To examine a conceptual framework for concept learning.
  • To integrate cognitive informatics and granular computing viewpoints.
  • To interpret concept learning via a layered knowledge discovery model.

Main Methods:

  • Conceptual framework development.
  • Integration of cognitive informatics principles.
  • Application of granular computing models.
  • Layered knowledge discovery interpretation.

Main Results:

  • A unified framework for concept learning is presented.
  • The role of granularity in concept learning is highlighted.
  • A layered model for knowledge discovery is established.

Conclusions:

  • The proposed framework effectively integrates cognitive informatics and granular computing for concept learning.
  • Concept learning can be understood through a layered knowledge discovery process.
  • This research provides a foundation for future studies in cognitive informatics and granular computing.