A multi-level slow intelligence system for visualizing personal health care

作者：Chang Shi Kuo^*; Chen JunHui; Gao Wei; Lou ManSi; Yin XiYao; Zhang Qui; Zhao ZiHao

来源：Journal of Visual Languages and Computing, 2017, 42: 135-148.

DOI：10.1016/j.jvlc.2017.08.006

• Slow intelligence system
• Distributed sensor networks
• Component-based software engineering
• Visual computing
• Visualization

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.

• 出版日期2017-10