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

Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a problem,...
Heuristics01:21

Heuristics

Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
Dynamic Equilibrium02:20

Dynamic Equilibrium

A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
Social Exchange Theory02:06

Social Exchange Theory

We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).

You might also read

Related Articles

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

Sort by
Same author

Corrigendum to "Combination of andrographolide and baicalin inhibited influenza A virus infection through suppressing RORγt-IL-17A pathway" [Phytomedicine 156 (2026) 158277].

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

ADCY2, ADCY5, and GRIA1 as key genes of the cAMP signaling pathway in osteoporotic spinal fracture after manipulation of Wnt signaling.

Archives of medical science : AMS·2026
Same author

Combination of andrographolide and baicalin inhibited influenza A virus infection through suppressing RORγt-IL-17A pathway.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

Andrographolide Suppresses Influenza A Virus-Induced Pyroptosis via PI3K/AKT-Mediated Caspase-3/GSDME Inactivation.

Biomedicines·2026
Same author

Purine nucleoside phosphorylase dominates Influenza A virus replication and host hyperinflammation through purine salvage.

Signal transduction and targeted therapy·2025
Same author

Metformin Inhibited GSDME to Suppress M2 Macrophage Pyroptosis and Maintain M2 Phenotype to Mitigate Cisplatin-Induced Intestinal Inflammation.

Biomedicines·2024
Same journal

Exploiting audio-visual modalities in videos: Object detection via multi-stage bilateral coupling network.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Reliability-aware modality completion with cross-modal distillation for federated learning with missing modalities.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

IGFD-Net: Illumination-guided frequency decoupling for polarization image fusion.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Multiple-Strategies dung beetle optimizer and its applications in engineering optimization and bankruptcy prediction.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Aggregating global-scale pixel-wise forgery cues within a graph.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Finite-Time intermittent control for secure synchronization of Neutral-Type stochastic delayed neural networks under aperiodic DoS attacks.

Neural networks : the official journal of the International Neural Network Society·2026
See all related articles

Related Experiment Video

Updated: May 22, 2026

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

HIVE: A hypergraph-based game-theoretic interactive value decomposition engine for multi-lateral agents

Changdong Zhou1, Ruofan Hu1, Naiyao Wang1

  • 1College of Artificial Intelligence, Dalian Maritime University, Dalian, 116026, China.

Neural Networks : the Official Journal of the International Neural Network Society
|May 20, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces HIVE, a novel engine for multi-agent collaboration, improving collective intelligence by addressing credit assignment challenges. HIVE enhances coordination and optimizes joint actions in dynamic environments.

Keywords:
Hypergraph game theoryIndividual-global-maxMulti-agent reinforcement learningValue decomposition

More Related Videos

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

Related Experiment Videos

Last Updated: May 22, 2026

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

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

Area of Science:

  • Artificial Intelligence
  • Multi-agent Systems
  • Game Theory

Background:

  • Multi-agent collaboration is key for collective intelligence but faces challenges in dynamic interactions and credit assignment.
  • Existing methods struggle with higher-order dependencies and imbalanced payoff distribution.

Purpose of the Study:

  • To propose the Hypergraph-based game-theoretic Interactive Value decomposition Engine (HIVE) for improved multi-agent collaboration.
  • To address limitations in capturing complex dependencies and ensuring fair credit assignment in collective intelligence.

Main Methods:

  • HIVE utilizes a hypergraph-weighted Position value to decompose joint state-action values.
  • Three neural networks approximate individual values, a global baseline, and a cooperation residual.
  • Theoretical analysis proves payoff allocation efficiency and satisfaction of the Individual-Global-Max (IGM) principle.

Main Results:

  • HIVE demonstrates consistent convergence to optimal joint actions in matrix games.
  • Achieved an 87.25% win rate across SMAC and SMACv2 benchmarks, outperforming state-of-the-art methods.
  • Validated the effectiveness of HIVE in enabling balanced credit assignment and reliable coordination.

Conclusions:

  • HIVE offers a robust framework for enhancing multi-agent collaboration and collective intelligence.
  • The proposed game-theoretic approach effectively tackles credit assignment and coordination challenges.
  • HIVE represents a significant advancement in value decomposition for complex multi-agent systems.