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

60.7K
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...
60.7K
Reasoning01:30

Reasoning

113
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,...
113
Deductive Reasoning01:16

Deductive Reasoning

56.0K
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...
56.0K
Reason and Intuition01:37

Reason and Intuition

6.5K
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...
6.5K
Cognitive Learning01:21

Cognitive Learning

463
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...
463
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

330
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
330

You might also read

Related Articles

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

Sort by
Same author

1 Hz Low-Frequency Repetitive Transcranial Magnetic Stimulation Ameliorates Epilepsy by Suppressing Interferon-γ Signaling-Dependent Microglial Synaptic Phagocytosis in Mice.

CNS neuroscience & therapeutics·2026
Same author

Chinese expert consensus on the diagnostic definition of cerebral palsy.

BMJ paediatrics open·2026
Same author

CO<sub>2</sub> leakage alters bacterial community structure and metabolic function of soybean rhizosphere in the Ordos Basin.

Scientific reports·2026
Same author

ATP13A2 promoted cell stemness, cisplatin resistance, autophagy, and cell progression of bladder cancer.

Frontiers in immunology·2026
Same author

Niacin promotes motor function recovery after spinal cord injury via Hcar2-dependent microglia immunometabolic regulation.

Clinical and translational medicine·2026
Same author

Chronic inflammation and immune dysregulation are associated with atherosclerosis in gynecologic malignancies: roles of endothelial activation and cytokine networks.

BMC cancer·2026
Same journal

Relation DETR+: Exploring Explicit Position Relation Prior for Dense Prediction.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Shape Anchors for Holistic Indoor Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: Aug 4, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

402

Knowledge-Aware Global Reasoning for Situation Recognition.

Weijiang Yu, Haofan Wang, Guohao Li

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |April 6, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a Knowledge-aware Global Reasoning (KGR) framework to improve image situation recognition by incorporating global context. KGR enhances noun feature understanding, effectively addressing challenges like long-tailed data distributions.

    More Related Videos

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
    06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    3.9K
    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

    11.9K

    Related Experiment Videos

    Last Updated: Aug 4, 2025

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
    05:47

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

    Published on: June 13, 2025

    402
    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
    06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    3.9K
    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

    11.9K

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Situation recognition involves predicting actions and semantic roles in images.
    • Challenges include long-tailed data distributions and local class ambiguities.
    • Previous methods lacked global information utilization.

    Purpose of the Study:

    • To propose a Knowledge-aware Global Reasoning (KGR) framework for adaptive global reasoning in situation recognition.
    • To enhance neural networks' ability to understand visual context by leveraging statistical knowledge.

    Main Methods:

    • Developed a local-global architecture (KGR) with local and global encoders.
    • Created an action-guided pairwise knowledge pool for global reasoning supervision.
    • Utilized pairwise noun relationships from the dataset to build the knowledge pool.

    Main Results:

    • KGR achieved state-of-the-art results on a large-scale situation recognition benchmark.
    • The framework effectively addressed the long-tailed problem in noun classification.
    • Demonstrated improved visual reasoning capabilities through global knowledge integration.

    Conclusions:

    • The Knowledge-aware Global Reasoning (KGR) framework significantly advances situation recognition.
    • Integrating global knowledge is crucial for overcoming data distribution challenges.
    • KGR offers a robust solution for complex visual reasoning tasks.