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

Inductive Reasoning00:59

Inductive Reasoning

64.4K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
64.4K
Deductive Reasoning01:16

Deductive Reasoning

63.6K
Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
63.6K
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

473
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...
473
Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

1.0K
Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
1.0K
Reasoning01:30

Reasoning

350
Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
350
Reason and Intuition01:37

Reason and Intuition

7.3K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.3K

You might also read

Related Articles

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

Sort by
Same author

Manipulating Room Temperature Phosphorescence Stability of Photoactivated Materials for Multiplex Optical Applications.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Hepatic sinusoidal obstruction syndrome caused by Gynura japonica once misdiagnosed as pancreatitis: a case report and review of literature.

Journal of medical case reports·2026
Same author

Single Plaque Proteomics Reveals the Composition and Dynamics of the Amyloid Microenvironment in Alzheimer's Disease.

bioRxiv : the preprint server for biology·2026
Same author

Cell type-resolved proteomics reveals intra- and intercellular signaling in Alzheimer's disease.

bioRxiv : the preprint server for biology·2026
Same author

Epidemiological and spatial-temporal clustering characteristics of pertussis in Southwest China, 2013-2024.

Frontiers in public health·2026
Same author

Correction: A mixed-methods study on healthcare workers' perceptions of treatment adherence among HIV-TB co-infected patients in a multi-disease prevention policy context.

Frontiers in public health·2026

Related Experiment Video

Updated: Dec 25, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.9K

Reasoning with rough description logics: An approximate concepts approach.

Yuncheng Jiang1, Ju Wang1, Suqin Tang1

  • 1School of Computer Science and Information Technology, Guangxi Normal University, Guilin 541004, PR China.

Information Sciences
|April 1, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new rough description logic to handle uncertain knowledge, reducing complex reasoning problems to simpler ones. This provides a foundation for approximate ontologies and future reasoning algorithms.

Keywords:
Approximate conceptsConceptsDescription logicsRough description logicsRough set theory

More Related Videos

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.1K
The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

6.2K

Related Experiment Videos

Last Updated: Dec 25, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.9K
Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.1K
The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

6.2K

Area of Science:

  • Artificial Intelligence
  • Knowledge Representation and Reasoning

Background:

  • Current description logics struggle with uncertain or imprecise knowledge.
  • Existing methods lack robust frameworks for handling vagueness in knowledge representation.

Purpose of the Study:

  • To propose a novel rough description logic ( ) based on rough set theory and approximate concepts.
  • To provide a formal framework for representing and reasoning with uncertain knowledge in description logics.

Main Methods:

  • Introducing approximate concepts into description logics.
  • Defining the syntax, semantics, and properties of the new rough description logic .
  • Reducing approximate concept satisfiability and rough subsumption reasoning problems to standard ALC concept satisfiability.

Main Results:

  • The proposed rough description logic effectively handles approximate concepts.
  • Reasoning problems in are shown to be reducible to those in standard ALC.
  • The logic provides a foundation for approximate ontologies.

Conclusions:

  • The developed rough description logic offers a formal approach to uncertain knowledge representation.
  • This work lays the theoretical groundwork for reasoning algorithms in more expressive rough description logics.
  • It enables the development of approximate ontologies with enhanced reasoning capabilities.