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Updated: Jan 17, 2026

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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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规定的时间纳什平衡寻求多联盟游戏与异质的一般线性动力学超过不平衡的二图
IEEE transactions on cybernetics
|September 16, 2025
概括
本研究探讨在不平衡网络上具有复杂动态的多联盟游戏中寻求纳什平衡 (NE). 一个新的算法确保玩家有效地达到平衡,通过连接和市场游戏的模拟来证明这一点.
科学领域:
- 控制理论 控制理论
- 游戏理论 游戏理论
- 网络化系统 网络化系统
背景情况:
- 由于复杂的玩家互动和网络结构,多联盟游戏在实现纳什平衡 (NE) 方面存在挑战.
- 这些游戏中异质的线性动力学和不平衡的二图形使传统的寻求平衡的方法变得复杂.
研究的目的:
- 开发和分析一种算法,用于在多联盟游戏中寻找纳什平衡,在不平衡的二位图上具有异质的一般线性动态.
- 解决分布式决策场景中不平衡的网络拓所带来的特定挑战.
主要方法:
- 使用时间转移方法对左自向量进行估计,以处理不平衡的二位图.
- 适应性控制策略的设计,用于寻求纳什平衡和输出调节.
- 利用利亚普诺夫稳定理论来证明闭环系统的规定的时间收.
主要成果:
- 拟议的算法有效地实现了在存在不平衡的网络结构时寻求纳什平衡.
- 系统动态的规定的时间收被严格证明.
- 模拟演示了算法在移动传感器连接游戏和电力市场游戏中的有效性.
结论:
- 开发的方法为在复杂的多联盟游戏中寻求纳什平衡提供了强大的解决方案.
- 这种方法对具有异质动态和不平衡通信拓的系统有效.
- 这些发现对网络系统中分布式优化和控制具有实际意义.
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