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Automated Resource Manager for Group Security

机译：自动化的资源管理器，用于组安全

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摘要

A fuzzy logic expert system has been developed that automatically allocates resources in real-time over a collection of autonomous agents. Agents can sense their environment and share data to make optimal decisions for the benefit of the group. Evolutionary algorithm based data mining is conducted to determine the form of the membership functions for the fuzzy root concepts, rules and fuzzy decision tree structure. The resource manager is made up of four trees, the isolated platform tree, the multi-platform tree, the fuzzy parameter selection tree and the fuzzy strategy tree. The self-organizing property of the multi-platform tree and the ability of the isolated platform tree to determine the intenionst of an enemy are discussed. The five approaches to validating the expert system are reviewed. Finally, results are provided that show the ability of platforms controlled by the resource manager to respond to incoming threats significantly improving the allied group's security.
机译：已经开发出一种模糊逻辑专家系统，该系统可以自动地在一组自治代理上实时分配资源。座席可以感知他们的环境并共享数据，从而为团队的利益做出最佳决策。进行了基于进化算法的数据挖掘，以确定模糊根概念，规则和模糊决策树结构的隶属函数形式。资源管理器由四棵树组成，分别是隔离平台树，多平台树，模糊参数选择树和模糊策略树。讨论了多平台树的自组织特性和孤立平台树确定敌人意图的能力。审查了验证专家系统的五种方法。最后，提供的结果显示了资源管理器控制的平台对传入威胁做出响应的能力，从而极大地改善了联盟组织的安全性。

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