DocumentCode :
480666
Title :
Autonomy-Oriented Computing for Web Intelligence and Brain Informatics
Author :
Liu, Jiming
Author_Institution :
Dept. of Comput. Sci., Hong Kong Baptist Univ., Kowloon
Volume :
1
fYear :
2008
fDate :
9-12 Dec. 2008
Firstpage :
33
Lastpage :
33
Abstract :
In this talk, we will discuss the roles and potential implications of autonomy-oriented computing (AOC) in/to the future of Web intelligence (WI) and brain informatics (BI). Generally speaking, AOC is a methodology for self-organized computing that is well suited for two types of applications: (i) to characterize the working mechanisms that lead to certain emergent behavior in natural and artificial complex systems (e.g., phenomena in ldquoWeb Sciencerdquo, and the dynamics of social networks and neural systems), and (ii) to develop solutions to large-scale, distributed computational problems (e.g., distributed scalable scientific or social computing, and collective intelligence). AOC emphasizes the modeling of autonomous entities or agents that locally interact following certain nature or real-world inspired behavioral rules, resulting in some self-organized behavior of the entities and/or their nonlinearly aggregated effects. Computing based on interacting entities and their self-organization can offer several means as well as advantages for WI and BI development, such as natural formulation, distributed implementation, scalable performance, robustness, and behavioral or first-principle understanding.
Keywords :
Internet; artificial intelligence; Web intelligence; autonomy-oriented computing; brain informatics; self-organized behavior; Artificial intelligence; Bismuth; Computational and artificial intelligence; Computer networks; Distributed computing; Informatics; Intelligent networks; Large-scale systems; Robustness; Social network services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3496-1
Type :
conf
DOI :
10.1109/WIIAT.2008.424
Filename :
4740421
Link To Document :
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