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Cognitive Model-based Evolution Mechanism of the Information Status in Internet of Things

机译：基于认知模型的物联网信息状态演化机制

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摘要

Object interaction in Internet of Things (IoT) should be dependent on intelligent information processing. Since, the information in IoT is heterogeneous, dynamic and somewhat unpredictable, straightening out the evolution process of information status is necessary for information management and processing. Firstly, the lifecycle of IoT information was analyzed by referencing and imitating the information processing system of human brain and the evolutionary mechanism of information status based on cognitive theory was expounded. Secondly, the information characteristics of each evolutionary stage were analyzed and some typical technologies of information management and intelligent processing were introduced. Finally, the comparative experiments to evaluate the effectiveness of the proposed method were given. The experimental results show that the algorithm is able to get the better solution by less target evaluation times and it can improve the optimization efficiency and realize intelligent processing of the information in IoT.
机译：物联网（IoT）中的对象交互应依赖于智能信息处理。由于物联网中的信息是异构的，动态的并且有些不可预测，因此理顺信息状态的演变过程对于信息管理和处理是必要的。首先，通过参考和模仿人脑信息处理系统，分析了物联网信息的生命周期，并阐述了基于认知理论的信息状态演化机制。其次，分析了各个演化阶段的信息特征，介绍了信息管理和智能处理的一些典型技术。最后，进行了对比实验，以评估该方法的有效性。实验结果表明，该算法能够以更少的目标评估时间获得更好的解决方案，并且可以提高优化效率，实现物联网中信息的智能处理。

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