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Updated: Jan 16, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
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The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

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在不完整的信息下对网络攻击和防御的联合游戏理论建模的研究

Yifan Wang1, Xiaojian Liu1, Xuejun Yu1

  • 1Software College, Beijing University of Technology, Beijing 100124, China.

Entropy (Basel, Switzerland)
|September 27, 2025
PubMed
概括

本研究介绍了JG-Defense,这是一种新的多代理网络防御系统,可以在不确定性下加强决策. 它在动态网络安全场景中显著提高了协调和稳定性.

关键词:
游戏理论的游戏理论.图表神经网络的神经网络不完全的信息不完整的信息.多代理游戏游戏多代理游戏接近政策优化近接政策优化

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