用于可视化个人医疗保健的多级慢速智能系统

Chang Shi-Kuo, Chen JunHui, Gao Wei, Lou ManSi, Yin XiYao, Zhang Qui, Zhao ZiHao
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引用次数: 0

摘要

本文描述了一种用于可视化个人医疗保健的实验性多级慢智能系统的设计,称为TDR系统,该系统由交互的超级组件组成,每个超级组件具有由抽象机器模型指定的不同计算周期。TDR系统有三个主要的超级组成部分:天(天)、地(地)和人(人),它们是遵循中国哲学的以人为中心的心理-物理系统的基本组成部分。每个超级组件还由SIS服务器支持的交互组件组成。这个实验性TDR系统为探索、可视化和集成个人医疗、应急管理和社交网络中的不同应用提供了一个平台。
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A multi-level slow intelligence system for visualizing personal health care

This paper describes the design of an experimental multi-level slow intelligence system for visualizing personal health care, called the TDR system, consisting of interacting super-components each with different computation cycles specified by an abstract machine model. The TDR system has three major super-components: Tian (Heaven), Di (Earth) and Ren (Human), which are the essential ingredients of a human-centric psycho-physical system following the Chinese philosophy. Each super-component further consists of interacting components supported by an SIS server. This experimental TDR system provides a platform for exploring, visualizing and integrating different applications in personal health care, emergency management and social networking.

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来源期刊
Journal of Visual Languages and Computing
Journal of Visual Languages and Computing 工程技术-计算机:软件工程
CiteScore
1.62
自引率
0.00%
发文量
0
审稿时长
26.8 weeks
期刊介绍: The Journal of Visual Languages and Computing is a forum for researchers, practitioners, and developers to exchange ideas and results for the advancement of visual languages and its implication to the art of computing. The journal publishes research papers, state-of-the-art surveys, and review articles in all aspects of visual languages.
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