在事件触发量子化机制下的异质网络游戏的双层神经动力学方法
Yiyao Xu1, Mengxin Wang2, Ruoyu Yuan1
1Harbin Institute of Technology, Weihai, China.
概括
这项研究引入了网络游戏的新型神经动力学方法,降低了通信成本,并确保了网络物理系统的快速融合. 该方法增强了诸如自主机器人之类的应用程序的多代理协调.
科学领域:
- 控制理论 控制理论
- 人工智能的人工智能
- 游戏理论 游戏理论
背景情况:
- 复杂的多参与者系统中的深度学习应用在通信成本和融合率方面面临挑战.
- 网络物理系统需要具有相同内在动态和高效通信协议的代理.
- 网络游戏对于模拟多代理系统中的交互至关重要.
研究的目的:
- 为网络游戏开发基于游戏理论的深度学习框架,以减少通信.
- 确保规定的时间趋同,并处理多代理系统中的异质动态.
- 通过事件触发和量化通信策略来解决通信负担.
主要方法:
- 使用基于梯度的 1:1 事件触发器和对数定量器来最大限度地减少通信.
- 使用基于被动性的策略来管理不完整的信息.
- 为异质动态设计控制输入,以追踪纳什平衡 (NE).
- 应用Lyapunov方法来证明可调时间内的收,并排除Zeno行为.
主要成果:
- 拟议的双层神经动力学系统在可调节的时间内证明了趋同.
- 通过事件触发和量子化通信,通信负担和频率大大降低.
- 该方法有效地处理异质动态,并确保接近纳什平衡.
- 成功排除了Zeno的行为,确保了实际适用性.
结论:
- 开发的神经动力学方法为网络物理系统中的网络游戏提供了有效的解决方案.
- 该方法提高了趋同率,降低了通信成本,优于现有策略.
- 该框架通过自主移动机器人的连接控制问题来验证.
相关概念视频
02:26Protein Networks
4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
02:45The Quantum-Mechanical Model of an Atom
59.7K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
59.7K
02:18Network Covalent Solids
16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
01:24Social Foundations of Self I: Play and Game
231
The development of self in children is deeply rooted in social interactions, mainly through stages of play and structured games. These stages, outlined by sociologist George Herbert Mead, illustrate how children progressively learn to understand and adopt social roles, forming a cohesive sense of self.The Play Stage: Imitation and Simple Role-TakingIn the early years of childhood, the play stage is characterized by imitative behavior, where children engage in role-playing based on familiar...
231
01:28Integration of Synaptic Events
4.2K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
4.2K
01:29Leveling Effect
1.4K
In acid-base chemistry, the leveling effect refers to the limitation imposed by the solvent on the strength of acids and bases in solution. When a base stronger than the solvent's conjugate base is used, it deprotonates the solvent until the base is entirely consumed, making it ineffective against weaker acids. Conversely, an acid stronger than the solvent's conjugate acid protonates the solvent until the acid is depleted, rendering it ineffective against weaker bases. Essentially, the...
1.4K