How to Make 'Web Intelligence (WI) meets Brain Informatics (BI)' Successfully?

摘要

As two related emerging fields of research, Web intelligence (WI) and brain informatics (BI) mutually support each other. Their synergy will yield profound advances in the analysis and understanding of data, knowledge, intelligence and wisdom, as well as their relationships, organization and creation process. When WI meets BI, it is possible to have a unified and holistic framework for the study of machine intelligence, human intelligence, and social intelligence. BI can be regarded brain sciences in IT age, which represents a potentially revolutionary shift in the way that research is undertaken. It emphasizes on a systematic approach for investigating human information processing mechanisms, including measuring, collecting, modeling, transforming, managing, and mining multiple human brain data obtained from various cognitive experiments by using fMRI and EEG. Multi-aspect analysis in multiple human brain data sources is an important methodology in BI. The proposed methodology attempts to change the perspective of cognitive/brain scientists from a single type of experimental data analysis towards a holistic view at a long-term, global field of vision to understand the principle, models and mechanisms of human information processing. New generations of WI research and development need to understand multi-nature of intelligence in depth. The recently designed instrumentation (fMRI etc.) and advanced IT are causing an impending revolution in both WI and BI, making it possible for us to understand and develop human-level Web intelligence