[1]LI De-yi.AI research and development in the network age[J].CAAI Transactions on Intelligent Systems,2009,4(1):1-6.
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AI research and development in the network age

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 4 Number of periods: 2009 1 Page number: 1-6 Column: 综述 Public date: 2009-02-25
Title:
AI research and development in the network age
Author(s):
LI De-yi
China Institute of Electronic System Engineering, Beijing 100840, China
Keywords:
network age;  artificial intelligence;  intelligence with uncertainty;  networked intelligence
CLC:
TP18
DOI:
-
Abstract:
Pattern recognition, knowledge engineering, and robotics have made significant progress in the 50year history of artificial intelligence, yet AI displays far from human intelligence. In the current network era, if researchers in artificial intelligence want to maximize developments and innovations in interdisciplinary studies, they must pay more attention to the intersections and infiltrations of cognitive science, brain science, physics, network science, computer science, and artificial intelligence. Research in cognitive physics will be an especially important direction in AI. Natural language is an important objective in AI research; we need to establish an uncertainty transformation model that can quantitatively represent its concepts. This dictates that an AI science with uncertainty will be developed. Considering the small world model and scalefree features of complex networks in real life, we need to use network topology as a new way for knowledge representation. This will aid study of the progress of network topology, network dynamics and intelligence. This paper discusses these three directions in detail. Some concrete suggestions for further research are also provided.
References:
［1］李德毅，杜 鹢. 不确定性人工智能［M］. 北京: 国防工业出版社，2005.
［2］LI Deyi, DU Yi. Artificial intelligence with uncertainty［M］. Boca Raton,USA: Chapman & Hall/CRC, 2007.
［3］LI Deyi, XIAO Liping, HAN Yanni, et al. Network thinking and network intelligence［J］.Lecture Notes in Artificial Intelligence, 2007, 4845：36-58.
［4］李德毅，刘 坤，孙 岩，等. 涌现计算：从无序掌声到有序掌声的虚拟现实［J］. 中国科学E辑：技术科学，2007,37(10):1248-1257.
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Last Update: 2009-03-24

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