Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Sequence Networks of Rotating Machines

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...

Evolutionary Psychology

Evolutionary Psychology

Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...

Life Histories

Life Histories

Second Order systems I

Second Order systems I

A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...

Second Order systems II

Second Order systems II

In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.

Convergent Evolution

Convergent Evolution

Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.

You might also read

Related Articles

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

Sort by

Same author

Cooperation conflicts with equality when allocating public goods.

Nature·2026

Same author

Temporality modulates the effect of network heterogeneity on cooperation fixation.

Nature communications·2026

Same author

The evolution of trust under institutional moral hazard.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same author

A population threshold for dedicated teaching.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same author

Public goods games on any population structure.

Science advances·2026

Same author

Individual incentives that promote collective intelligence.

Proceedings of the National Academy of Sciences of the United States of America·2025

Same journal

Systematic bottom-up coarse-graining of hydrated excess proton transport across scales.

Nature computational science·2026

Same journal

Gaining biological insights through supervised data visualization.

Nature computational science·2026

Same journal

The inequalities of GPU access.

Nature computational science·2026

Same journal

Social technologies need societal alignment.

Nature computational science·2026

Same journal

The Quantum Optimization Benchmarking Library.

Nature computational science·2026

Same journal

Setting benchmarks for practical quantum utility of combinatorial optimization.

Nature computational science·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 28, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Strategy evolution on higher-order networks.

Anzhi Sheng^1,2, Qi Su^3,4,5, Long Wang^6,7

¹Center for Systems and Control, College of Engineering, Peking University, Beijing, China.

Nature Computational Science

|April 15, 2024

Summary

This summary is machine-generated.

Higher-order interactions, beyond simple pairs, promote cooperation in groups. This framework shows how complex social structures and group rewards favor prosocial behaviors in public goods games.

More Related Videos

New Variations for Strategy Set-shifting in the Rat

New Variations for Strategy Set-shifting in the Rat

Published on: January 23, 2017

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Related Experiment Videos

Last Updated: Jun 28, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

New Variations for Strategy Set-shifting in the Rat

New Variations for Strategy Set-shifting in the Rat

Published on: January 23, 2017

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Area of Science:

Evolutionary Game Theory
Social Network Analysis
Behavioral Ecology

Background:

Cooperation is vital for societal prosperity.
Previous research primarily focused on pairwise interactions.
Cooperative behaviors often involve group coordination.

Purpose of the Study:

To develop a framework for studying cooperation in higher-order population structures.
To analyze conditions favoring cooperation in multi-way interactions.
To understand the role of social structure in promoting prosocial traits.

Main Methods:

Developed a theoretical framework for higher-order interactions.
Analytical treatment of cooperation evolution.
Considered spatial heterogeneity and nonlinear rewards.

Main Results:

Higher-order interactions promote cooperation in public goods games.
Cooperation is favored across diverse network structures.
Conjoined communities in interaction hyper-networks consistently benefit cooperation.

Conclusions:

Higher-order interactions are crucial for understanding cooperation.
Social network structure significantly modulates the evolution of prosociality.
This framework offers systematic insights into group cooperation dynamics.