This paper describes the design of an experimental multi-level slow intelligence system for 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 and integrating different applications in personal health care, emergency management and social networking. Keywords—slow intelligence system, distributed sensor networks, component-based software engineering.
[1]
Shi-Kuo Chang.
A Slow Intelligence System Test Bed Enhanced with Super-Components
,
2015,
SEKE.
[2]
Yao Sun,et al.
Visual Specification of Component-based Slow Intelligence Systems
,
2011,
SEKE.
[3]
Yao Sun,et al.
Design of Component-based Slow Intelligence Systems and Application to Social Influence Analysis
,
2011,
SEKE.
[4]
Shi-Kuo Chang.
A General Framework for Slow Intelligence Systems
,
2018
.
[5]
Ming-Feng Chen,et al.
A complementary method for detecting qi vacuity
,
2009,
BMC complementary and alternative medicine.