Smart Learning for Cyber Psychosocial and Physical Computation
Duo Xu, Weihui Dai, Xinyu Zhou, Ye Fu, Yonghui Dai, Dongrong Xu · 2018
With the fast integrative development of the Internet, the Internet of things, and mobile communications, it has become an interesting issue to study human's psychology and behaviors from the big data of the interrelated spaces based on machine learning. This article analyzes the new requirements of machine learning for CPP (Cyber Psychosocial and Physical Computation), and presents the concept, framework, method, and application of smart learning, which refers to the comprehensive learning ability of rational intelligence and emotional intelligence. In order to better understand the relationships among different spaces and reduce the computation cost by prior-knowledge, the authors propose the above learning process to be built up on the basis of neural mechanism and context awareness. Research of this article aims to provide a reference for the development of machine learning to deal with human's psychology and behaviors under the ubiquitous environment.