Analysis and Control of Networked Game Dynamics via A Microscopic Deterministic Approach
Analysis and Control of Networked Game Dynamics via A Microscopic Deterministic Approach
复制标题
通过微观确定性方法分析和控制网络游戏动态
DOI：
10.1109/tac.2016.2545106
复制
发表时间：
2016-03
影响因子：
6.8
通讯作者：
Lu Jinhu
中科院分区：
文献类型：
--
作者：
Tan Shaolin;Wang Yaonan;Lu Jinhu
网络游戏普遍存在于社会、生物和工程网络的进化集体现象中。一个重要且具有挑战性的问题是如何理解并进一步干预进化网络游戏动态。本技术笔记旨在发展一种微观确定性公式，用于分析和控制复杂网络上的进化博弈动力学。该方法利用多智能体系统的典型特征，建立了一个具有微观-宏观干预机制的系统框架来分析和控制网络博弈动力学。基于所提出的方法，本技术笔记进一步探讨了几个关键问题，包括策略共识、个体之间的合作和网络游戏动态的控制。这些结果表明，社区对每个个体的反馈可以改变自适应动态的背叛倾向。而对于网络上的模仿动态，通过给予合作方较高程度的奖励来促进合作更为有效。此外，还明确了不同合作机制的有效性。发展起来的微观确定性方法为理解和干预社会和工程网络中的集体决策行为提供了一些启示。
Networked games prevail in a wide range of evolutionary collective phenomena on social, biological, and engineering networks. An important and challenging problem is how to understand and then further intervene in the evolutionary networked game dynamics. This technical note aims at developing a microscopic deterministic formulation for analyzing and controlling the evolutionary game dynamics on complex networks. By utilizing the typical characteristics of multi-agent systems, the proposed approach establishes a systematic framework with micro-macro-intervention mechanism to analyze and control the networked game dynamics. Based on the proposed method, this technical note further explores several key issues, including consensus of strategies, cooperation among individuals and control of the network game dynamics. These results indicate us that the feedback from neighborhoods to each individual can alter the tendency of defection for adaptive dynamics. While for imitation dynamics on networks, it is much more effective to boost cooperation by awarding cooperators with high degree. Moreover, the effectiveness of different cooperation mechanisms has been clarified. The developed microscopic deterministic approach sheds some lights on the understanding and intervening in the collective decision-making behaviors in social and engineering networks.
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具有传输非线性的离散时间多智能体系统的共识
影响因子：
6.4
作者：
Chen, Yao;Lu, Jinhu;Lin, Zongli
通讯作者：
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影响因子：
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作者：
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DOI：
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发表时间：
2010-09
期刊：
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
影响因子：
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作者：
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影响因子：
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