Web Intelligence Meets Brain Informatics

Web Intelligence Meets Brain Informatics
复制标题

DOI:
10.1007/978-3-540-77028-2_1
复制
发表时间:
2006-12
期刊:
--
影响因子:
--
通讯作者:
Ning Zhong;Jiming Liu;Yiyu Yao;Jing-long Wu;Shengfu Lu;Yulin Qin;Kuncheng Li;B. Wah
Ning Zhong;Jiming Liu;Yiyu Yao;Jing-long Wu;Shengfu Lu;Yulin Qin;Kuncheng Li;B. Wah
中科院分区:
其他
文献类型:
--
作者:
Ning Zhong;Jiming Liu;Yiyu Yao;Jing-long Wu;Shengfu Lu;Yulin Qin;Kuncheng Li;B. Wah

文献摘要

被引文献

相似文献

在本章中,我们从脑信息学(BI)的角度概述了网络智能(WI)研究的前景,脑信息学是一个新的交叉学科领域,它将实验认知神经科学与先进的信息技术相结合,从宏观和微观两个角度系统地研究人类信息处理的机制。BI从信息学的角度研究人脑(即,人脑是信息处理系统)并使用信息学(即,以WI为中心的信息技术),以支持脑科学研究。仪器仪表的进步,例如,基于功能磁共振成像和信息技术为网络智能和脑科学的研究提供了更多的机会。通过脑科学对人类智能的进一步理解促进了创新的网络智能研究和开发。WI门户技术为脑科学提供了一个强大的新平台。WI和BI之间的协同作用推进了我们分析和理解数据、知识、智能和智慧的方式,以及它们之间的相互关系、组织和创建过程。Web智能正在成为信息技术和人工智能革命的中心领域,以实现人类级别的Web智能。
In this chapter, we outline a vision of Web Intelligence (WI) research from the viewpoint of Brain Informatics (BI), a new interdisciplinary field that systematically studies the mechanisms of human information processing from both the macro and micro viewpoints by combining experimental cognitive neuroscience with advanced information technology. BI studies human brain from the viewpoint of informatics (i.e., human brain is an information processing system) and uses informatics (i.e., WI centric information technology) to support brain science study. Advances in instrumentation, e.g., based on fMRI and information technologies offer more opportunities for research in both Web intelligence and brain sciences. Further understanding of human intelligence through brain sciences fosters innovative Web intelligence research and development. WI portal techniques provide a powerful new platform for brain sciences. The synergy between WI and BI advances our ways of analyzing and understanding of data, knowledge, intelligence, and wisdom, as well as their interrelationships, organizations, and creation processes. Web intelligence is becoming a central field that revolutionizes information technologies and artificial intelligence to achieve human-level Web intelligence.