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

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

160
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
160
Retrieval01:12

Retrieval

345
Retrieval is the process of getting information out of memory storage and back into conscious awareness. This ability is essential for daily tasks like brushing hair and teeth, driving to work, and performing job duties. Retrieval occurs in three ways: recall, recognition, and relearning.
Recall involves accessing information without cues, such as during an essay test, where individuals must retrieve facts and concepts from memory unaided. Another example is remembering the name of a colleague...
345
Impact of Schemas01:30

Impact of Schemas

151
Schemas are cognitive structures that provide a framework for interpreting and organizing social information. They help individuals navigate complex environments by offering expectations about people, events, and behaviors. Schemas influence attention, encoding, and retrieval processes, thereby shaping the entire trajectory of information processing in social contexts.Attention and Cognitive LoadDuring initial attention, schemas function as filters that prioritize schema-consistent information,...
151
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

2.0K
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...
2.0K
Storage01:23

Storage

282
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
282
Cognitivism01:17

Cognitivism

2.6K
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...
2.6K

You might also read

Related Articles

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

Sort by
Same author

Video-rate gigapixel ptychography via space-time neural field representations.

Nature communications·2026
Same author

The associations between lower extremity peripheral arterial disease and immune-inflammatory biomarkers.

International angiology : a journal of the International Union of Angiology·2026
Same author

PhenoAge acceleration, serum tryptophan, and frailty in socially engaged actively aging elderly men.

iScience·2026
Same author

Mechanisms of topical Mahoniae Caulis against acute mastitis: Integrating SMR, network pharmacology, molecular docking, and experimental validation.

Tissue & cell·2026
Same author

Rumen microbiota-associated stress alleviation by creatine pyruvate in newly received cattle: a multi-omics study.

Microbiome·2026
Same author

An Attention-Based Bidirectional Feature Fusion Algorithm for Insulator Detection.

Sensors (Basel, Switzerland)·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Dec 20, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

910

A Cognitive Method for Automatically Retrieving Complex Information on a Large Scale.

Yongyue Wang1, Beitong Yao1, Tianbo Wang2

  • 1School of Computer Science and Engineering, Beijing Key Laboratory of Network Technology, Beihang University, Beijing 100191, China.

Sensors (Basel, Switzerland)
|June 3, 2020
PubMed
Summary
This summary is machine-generated.

Modern retrieval systems struggle with complex searches. A new method, 2SCR-IR, uses cognitive reasoning to find verified multi-hop reasoning chains, improving information retrieval accuracy.

Keywords:
complex search requestevidence chainsinformation retriever sensormulti-hop reasoning

More Related Videos

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

2.8K
A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents
09:13

A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents

Published on: May 3, 2012

14.7K

Related Experiment Videos

Last Updated: Dec 20, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

910
Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

2.8K
A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents
09:13

A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents

Published on: May 3, 2012

14.7K

Area of Science:

  • Information Retrieval
  • Artificial Intelligence
  • Cognitive Science

Background:

  • Information retrieval (IR) systems face challenges with complex, large-scale queries, often returning irrelevant or misleading results.
  • Multi-hop reasoning tasks require synthesizing information from multiple documents, posing difficulties for standard retrieval methods.
  • Key challenges include retrieving facts with weak lexical links to the query and avoiding misinformation within cognitive graphs.

Purpose of the Study:

  • To enhance the performance of information retrieval systems for complex, multi-hop reasoning tasks.
  • To address the limitations of current retrievers in handling scattered information and verifying factual accuracy.
  • To introduce a novel method for generating verified multi-hop reasoning chains.

Main Methods:

  • Proposed an intelligent sensor technique named 2SCR-IR (sub-scope with cognitive reasoning).
  • Developed a dynamic fusion layer to explore a query-context-built cognitive graph.
  • Implemented a step-by-step verification process for retrieved facts, mimicking user search behavior.

Main Results:

  • 2SCR-IR demonstrated competitive performance on the HotpotQA dataset (full wiki and distractor settings).
  • Achieved an absolute gain of over two points compared to state-of-the-art methods on the full wiki setting.
  • Successfully provided verified multi-hop reasoning chains for complex information retrieval tasks.

Conclusions:

  • The 2SCR-IR method effectively improves multi-hop reasoning in information retrieval.
  • Cognitive reasoning and dynamic fact verification are crucial for handling complex search requests.
  • This approach offers a promising direction for more accurate and reliable information retrieval systems.