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Scientific Applications of Grid Computing : First International Workshop, SAG 2004, Beijing, China, September 2004 ; revised slected and invited papers

By: Herrero, Pilar.
Contributor(s): Perez, Maria S | Robles, Victor.
Material type: materialTypeLabelBookSeries: 3458. Lecture notes in computer science.Publisher: Berlin: Springer, 2005Description: x, 208 p.; ill.: 23 cm.ISBN: 9783540258100.Subject(s): Computational grid | Grid computing | SAG | GAM | Traffic Information Grid | Grid Workflows | OGSA-DAIDDC classification: 004 Summary: This workshop was held in September 2004, in conjunction with the 2004 IEEE/​WIC/​ACM International Joint Conference on Web Intelligence (WI 2004) and Intelligent Agent Technology (IAT 2004). The WI and IAT conferences have provided, for several years, a leading - ternational forum to bring together researchers and practitioners from diverse?elds, suchascomputerscience, informationtechnology, business, education, - man factors, systems engineering, and robotics, to explore the fundamental roles as well as practical impacts of arti?cial intelligence (AI) (e.g., knowledge r- resentation, planning, knowledge discovery, and data mining, intelligent agents and social network intelligence) and advanced information technology (IT) (e.g., wireless networks, ubiquitous devices, social networks, the Wisdom Web, and data/​knowledge grids), and to examine the design principles and performance characteristics of various approaches in intelligent agent technology.
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This workshop was held in September 2004, in conjunction with the 2004 IEEE/​WIC/​ACM International Joint Conference on Web Intelligence (WI 2004) and Intelligent Agent Technology (IAT 2004). The WI and IAT conferences have provided, for several years, a leading - ternational forum to bring together researchers and practitioners from diverse?elds, suchascomputerscience, informationtechnology, business, education, - man factors, systems engineering, and robotics, to explore the fundamental roles as well as practical impacts of arti?cial intelligence (AI) (e.g., knowledge r- resentation, planning, knowledge discovery, and data mining, intelligent agents and social network intelligence) and advanced information technology (IT) (e.g., wireless networks, ubiquitous devices, social networks, the Wisdom Web, and data/​knowledge grids), and to examine the design principles and performance characteristics of various approaches in intelligent agent technology.

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