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

Principle of Virtual Work: Problem Solving01:13

Principle of Virtual Work: Problem Solving

1.3K
The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
To apply the principle of virtual work,...
1.3K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

120
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
120
Problem-Solving01:29

Problem-Solving

286
Effective problem-solving consists of two steps: 1. identifying the problem and 2. selecting the appropriate problem-solving strategy (i.e., a plan of action used to find a solution). Humans use four problem-solving strategies:
286
Principle of Moments: Problem Solving01:30

Principle of Moments: Problem Solving

986
The principle of moments is a fundamental concept in physics and engineering. It refers to the balancing of forces and moments around a point or axis, also known as the pivot. This principle is used in many real-life scenarios, including construction, sports, and daily activities like opening doors and pushing objects.
One such scenario involves a pole placed in a three-dimensional system with a cable attached. When a tension is applied to the cable, the moment about the z-axis passing through...
986
Creative Thinking01:25

Creative Thinking

1.1K
Creative thinking encompasses innovative and unconventional methods for addressing challenges, often leading to groundbreaking solutions. Instead of focusing solely on enhancing existing systems, such as increasing smartphone battery capacity, creative thinking might inspire advancements like energy-efficient batteries or processors that minimize power consumption. This multidimensional approach underscores the importance of exploring novel pathways to innovation.
Divergent thinking is the...
1.1K
Biot-Savart Law: Problem-Solving00:59

Biot-Savart Law: Problem-Solving

2.9K
The magnitude and direction of a magnetic field created by a steady current can be calculated using the Biot-Savart law.
Consider a mobile phone battery bank as a source of steady current, which flows through the wire connected between the two. What is the magnitude of the magnetic field created by this current at a field point P?
To estimate the magnitude of the total magnetic field, we first consider a small current element of length dl, at a distance r from the field point. Now the following...
2.9K

You might also read

Related Articles

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

Sort by
Same author

How deep is your art: An experimental study on the limits of artistic understanding in a single-task, single-modality neural network.

PloS one·2024
Same author

Case scenario generators for trauma surgery simulation utilizing autoregressive language models.

Artificial intelligence in medicine·2023
Same author

Linking the Divergent and Convergent Processes of Collaborative Creativity: The Impact of Expertise Levels and Elaboration Processes.

Frontiers in psychology·2019
Same author

Neural dynamics of idea generation and the effects of priming.

Neural networks : the official journal of the International Neural Network Society·2009
Same author

Network capacity analysis for latent attractor computation.

Network (Bristol, England)·2003

Related Experiment Video

Updated: Oct 13, 2025

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

6.1K

A novel agent-based, evolutionary model for expressing the dynamics of creative open-problem solving in small groups.

Alex Doboli1, Simona Doboli2

  • 1Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, 117954-2350 NY USA.

Applied Intelligence (Dordrecht, Netherlands)
|November 12, 2021
PubMed
Summary

This study introduces a new theoretical model (TM) for understanding creative problem-solving in small groups. The model links member traits and interactions to novel group responses, aiding team effectiveness.

Keywords:
Agent modelGroupsKnowledge evolutionModelingProblem solving

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K
The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.5K

Related Experiment Videos

Last Updated: Oct 13, 2025

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

6.1K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K
The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.5K

Area of Science:

  • Cognitive Science
  • Social Psychology
  • Computational Modeling

Background:

  • Creative problem-solving in groups is crucial across diverse industries.
  • Challenges include quantifying group dynamics, integrating soft skills, and understanding soft utilities.

Purpose of the Study:

  • To present a novel theoretical model (TM) for open-ended problem-solving in small groups.
  • To mathematically link group member characteristics, interactions, and knowledge evolution to response novelty.

Main Methods:

  • Modeled group members as agents with specific knowledge, skills, and emotional states.
  • Developed a solution space to categorize and organize group responses by abstraction levels.
  • Utilized five agent-based solving strategies for knowledge generation.

Main Results:

  • The TM explains the relationship between member knowledge similarity and group solution novelty.
  • Model simulations align with behavioral experiments involving human teams.
  • Demonstrated the utility of TMs in enhancing small team effectiveness.

Conclusions:

  • The proposed theoretical model offers a robust framework for analyzing group creativity.
  • It provides insights into how individual attributes and group dynamics influence collective problem-solving outcomes.
  • The model serves as a valuable tool for improving small team performance and innovation.