Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

45
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...
45
Social Facilitation01:04

Social Facilitation

31.9K
Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
31.9K
Natural Selection and Adaptation01:15

Natural Selection and Adaptation

185
Natural selection, a fundamental concept in evolutionary biology, is the mechanism by which evolution is driven, favoring organisms that are best adapted to their environments. This process enhances their chances of survival and reproduction. Adaptation, a key outcome of this process, involves genetic modifications that optimize an organism's functionality under specific environmental challenges, such as extreme cold or thinner air at high altitudes.
Beyond physical adaptations,...
185

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Author Correction: Sustained nitric oxide production by engineered E. coli remodels the tumor microenvironment and potentiates immunotherapy.

Nature biotechnology·2026
Same author

Element-specific global burden of cancers attributable to occupational metals (As, Be, Cd, Cr, Ni), 1990-2021: trends, SDI-linked inequalities, and explainable forecasting to 2030.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico·2026
Same author

A case report of a giant left atrial myxoma traversing a patent foramen ovale as a biatrial myxoma.

BMC cardiovascular disorders·2026
Same author

The synergistic applications of organoids and exosomes in disease modeling and disease treatment.

Molecular biology reports·2026
Same author

Attack-resilient adaptive distributed neurodynamic approach for solving noncooperative games.

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

Phosphorylated modification of walnut protein isolate: structural characteristics, functional properties and microencapsulation of <i>Lactobacillus bulgaricus</i>.

Journal of food science and technology·2026

相关实验视频

Updated: Jun 13, 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

9.3K

一般化纳什平衡 通过自适应神经动力学算法寻找具有不同单调性的非合作性游戏.

Mengxin Wang, Yuhu Wu, Sitian Qin

    IEEE transactions on neural networks and learning systems
    |September 13, 2024
    PubMed
    概括

    这项研究介绍了一种新的自适应神经动力学算法 (ANA),用于在受约束的游戏中找到通用纳什平衡 (GNE). 该算法证明了对动作集的有限时间收和对GNE的指数或多项式收.

    科学领域:

    • 游戏理论 游戏理论
    • 优化算法 优化算法
    • 计算经济学的计算经济学

    背景情况:

    • 有约束的非合作游戏在经济学和工程学中很常见.
    • 在计算上,找到通用纳什平衡 (GNE) 是一个挑战.
    • 现有的算法可能缺乏保证的融合或效率.

    研究的目的:

    • 提出一种新的自适应神经动力学算法 (ANA),用于在受约束的非合作游戏中寻找GNE.
    • 在各种单调性条件下分析拟议的ANA的收特性.
    • 通过提霍诺夫规范化引入一个新的ANA变体,用于使用提霍诺夫规范化近似GNE.

    主要方法:

    • 开发一个具有轨迹依赖的惩罚参数的自适应神经动力学算法 (ANA).
    • 对行动集的有限时间收的数学分析.
    • 根据单调性条件证明指数式或多项式对GNE的收.
    • 提霍诺夫规范化的应用用于近似 $\varepsilon $-GNE.

    主要成果:

    • 由于适应性惩罚条款,ANA确保有限时间进入行动集.
    • 对于强烈单调的游戏,已证明GNE的指数趋同.
    • 对于"一般化"的强烈单调的游戏,GNE的多项式趋同被确立,这是一个新奇的结果.

    更多相关视频

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
    08:18

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

    Published on: August 15, 2020

    4.9K
    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

    2.0K

    相关实验视频

    Last Updated: Jun 13, 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

    9.3K
    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
    08:18

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

    Published on: August 15, 2020

    4.9K
    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

    2.0K
  • 对于一般单调的游戏,已经证明了指数趋同到 $\varepsilon $-GNE.

    • 结论:

    • 拟议的ANA对于在受约束的非合作游戏中找到GNE是有效的.
    • 该算法提供了改进的收属性,包括首次实现多项式收.
    • 提霍诺夫规范化的ANA提供了一种方法,用于在准确的解决方案难以实现时近似GNE.
    • 算法的有效性通过诸如污染和基站位置游戏等例子来验证.