A multi-level slow intelligence system for visualizing personal health care. (October 2017)

• Record Type: Journal Article
• Authors: Chang, Shi-Kuo; Chen, JunHui; Gao, Wei; Lou, ManSi; Yin, XiYao; Zhang, Qui; Zhao, ZiHao
• Is Part Of: Journal of visual languages & computing. Volume 42(2017)
• Page Start: 135
• Page End: 148
• Publication Date: 2017-10
• Subjects: Slow intelligence system -- Distributed sensor networks -- Component-based software engineering -- Visual computing -- Visualization; Visual programming languages (Computer science) -- Periodicals; Visual programming (Computer science) -- Periodicals; Programming languages (Electronic computers) -- Semantics -- Periodicals; Langages de programmation visuelle -- Périodiques; Programmation visuelle -- Périodiques; Langages de programmation -- Sémantique -- Périodiques; Programming languages (Electronic computers) -- Semantics; Visual programming (Computer science); Visual programming languages (Computer science); Periodicals; Electronic journals; 005
• DOI: 10.1016/j.jvlc.2017.08.006
• Languages: English
• ISSNs: 1045-926X

Abstract

Abstract: 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.