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

Impact of Groups on Groups01:19

Impact of Groups on Groups

23
Social psychologists analyze how groups influence one another, shaping social structures and interactions through both cooperation and competition. These dynamics manifest in various ways, ranging from economic partnerships to intergroup conflicts that shape societal structures and perceptions.Cooperation and Competition in Intergroup RelationsIntergroup relationships vary across contexts, sometimes fostering cooperation and mutual benefit while at other times leading to conflict and...
23
Robbers Cave04:49

Robbers Cave

14.4K
During the 1950s, the landmark Robbers Cave experiment demonstrated that when groups must compete with one another, intergroup conflict, hostility, and even violence may result. At the Oklahoman summer camp, two troops of boys—termed the Rattlers and the Eagles—took part in a week-long tournament. During this time, their negativity culminated in derogatory name-calling, fistfights, and even vandalism and destruction of property. However, this work also revealed that such tension...
14.4K
Theory of Attribution II: Kelley's Covariation Theory01:29

Theory of Attribution II: Kelley's Covariation Theory

43
Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus:...
43
System of Forces and Couples01:16

System of Forces and Couples

503
In the analysis of structural systems, it is common to encounter members subjected to various forces and couple moments. Simplifying these systems can make the analysis more manageable and easier to understand. One approach to achieve this simplification is by moving a force to a point O that does not lie on its line of action and adding a couple with a moment equal to the moment of the force about point O.
The principle of transmissibility plays a crucial role in this process. According to...
503
Aggression01:47

Aggression

28.2K
Humans engage in aggression when they seek to cause harm or pain to another person. Aggression takes two forms depending on one’s motives: hostile or instrumental. Hostile aggression is motivated by feelings of anger with intent to cause pain; a fight in a bar with a stranger is an example of hostile aggression. In contrast, instrumental aggression is motivated by achieving a goal and does not necessarily involve intent to cause pain (Berkowitz, 1993); a contract killer who murders for...
28.2K
Jung's Analytical Theory01:23

Jung's Analytical Theory

520
Carl Jung, a Swiss psychiatrist and former follower of Freud, eventually broke away from Freud's ideas to create his framework, analytical psychology. This approach emphasizes achieving a balance between the conscious and unconscious aspects of the mind and reconciling various experiences within an individual's personality. Jung believed that this process, which typically unfolds in the latter part of life, involves an ongoing journey of recognizing and incorporating unconscious...
520

You might also read

Related Articles

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

Sort by
Same author

A network model of Italy shows that intermittent regional strategies can alleviate the COVID-19 epidemic.

Nature communications·2020
Same author

Herding or wisdom of the crowd? Controlling efficiency in a partially rational financial market.

PloS one·2020
Same author

Direct reciprocity and model-predictive rationality explain network reciprocity over social ties.

Scientific reports·2019
Same author

Warning Signs of Impending Critical Transitions in Love Affairs.

Nonlinear dynamics, psychology, and life sciences·2019
Same author

Top-Down Control of Cyanobacteria: A Theoretical Analysis.

The American naturalist·2018
Same author

A Minimal Model for Forest Fire Regimes.

The American naturalist·2018
Same journal

Thymidylate synthase inhibitory drugs induce p53-dependent pathways differently.

PloS one·2026
Same journal

Top-down and bottom-up attention for joint pattern classification and reconstruction.

PloS one·2026
Same journal

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026
Same journal

Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming.

PloS one·2026
Same journal

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century.

PloS one·2026
Same journal

Paying in public: Peer effects, impression management, and willingness to pay on digital payment platforms.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Oct 1, 2025

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

A theoretical analysis of complex armed conflicts.

Sergio Rinaldi1,2, Alessandra Gragnani2, Francesco Niccolò Moro3

  • 1International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.

Plos One
|March 4, 2022
PubMed
Summary
This summary is machine-generated.

A simplified model reveals how military strategies and recruitment influence armed conflict dynamics. Defensive policies create simple conflicts, while aggressive tactics by non-governmental groups lead to unpredictable, turbulent war outcomes.

More Related Videos

Peering into the Dynamics of Social Interactions: Measuring Play Fighting in Rats
15:01

Peering into the Dynamics of Social Interactions: Measuring Play Fighting in Rats

Published on: January 18, 2013

15.5K
Systems Analysis of the Neuroinflammatory and Hemodynamic Response to Traumatic Brain Injury
07:21

Systems Analysis of the Neuroinflammatory and Hemodynamic Response to Traumatic Brain Injury

Published on: May 27, 2022

3.2K

Related Experiment Videos

Last Updated: Oct 1, 2025

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
Peering into the Dynamics of Social Interactions: Measuring Play Fighting in Rats
15:01

Peering into the Dynamics of Social Interactions: Measuring Play Fighting in Rats

Published on: January 18, 2013

15.5K
Systems Analysis of the Neuroinflammatory and Hemodynamic Response to Traumatic Brain Injury
07:21

Systems Analysis of the Neuroinflammatory and Hemodynamic Response to Traumatic Brain Injury

Published on: May 27, 2022

3.2K

Area of Science:

  • Conflict studies
  • Mathematical modeling
  • Political science

Background:

  • Understanding the dynamics of armed conflicts is complex.
  • Military characteristics and recruitment strategies significantly impact conflict evolution.
  • Existing models often struggle with multi-group conflict scenarios.

Purpose of the Study:

  • To introduce and analyze a simple idealized model of armed conflict.
  • To gain basic insights into how military characteristics and recruitment strategies affect conflict dynamics.
  • To explore conditions leading to prolonged wars (stalemates) and the influence of initial conditions and interventions.

Main Methods:

  • Development of a simple idealized mathematical model for armed conflict.
  • Analysis of the model's behavior under different parameters.
  • Examination of recruitment strategies (defensive vs. offensive) and their impact.

Main Results:

  • The model identifies conditions under which never-ending wars (stalemates) are possible.
  • Defensive recruitment policies result in conflicts with simple, predictable dynamics.
  • Offensive recruitment strategies, particularly those sensitive to enemy damage, can lead to turbulent and unpredictable conflict behaviors.

Conclusions:

  • The type of recruitment strategy is a key determinant of conflict dynamics.
  • Non-governmental groups often employing attack strategies contribute to forecast difficulties.
  • Insights from this idealized model aid in understanding complex, multi-group armed conflicts.