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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...
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Related Experiment Video

Updated: Oct 2, 2025

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Patterns of basic knowledge.

Hung Tseng1

  • 111021B Villlaridge Court, Reston, VA 20191, USA.

Iscience
|February 24, 2022
PubMed
Summary
This summary is machine-generated.

Epistemetrics, the study of knowledge measurement, lacks structure. This research refines the EApc framework to categorize knowledge, aiding scientific understanding and cognitive process insights.

Keywords:
Knowledge acquisitionKnowledge managementKnowledge representation and reasoning

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Area of Science:

  • Epistemology and scientific research methodology.

Background:

  • Epistemetrics, the quantitative and qualitative measurement of knowledge, is underdeveloped.
  • A lack of formal knowledge structure hinders epistemetrics development.
  • Fundamental questions regarding knowledge units, types, relations, and hierarchies remain unanswered.

Purpose of the Study:

  • To propose and refine the EApc framework for knowledge categorization.
  • To gather evidence from diverse research disciplines to support and expand the EApc framework.
  • To offer new perspectives on understanding scientific processes and evaluating research.

Main Methods:

  • Reviewing theories and practices from various research disciplines.
  • Collecting evidence to support, refine, and expand the proposed EApc framework.
  • Analyzing existing research to identify knowledge structures and relationships.

Main Results:

  • The EApc framework provides a structured approach to knowledge categorization.
  • Evidence from diverse fields supports the applicability and utility of the EApc framework.
  • The framework offers potential for new insights into scientific evaluation and cognitive mechanisms.

Conclusions:

  • The EApc framework offers a structured foundation for the underdeveloped field of epistemetrics.
  • This framework can enhance the understanding of scientific processes and research impact assessment.
  • The EApc framework may illuminate mechanisms of human cognition and information processing.