scholarly journals Predicting Instructor Performance in Higher Education Using Intelligent Agent Systems

Author(s):  
J. Sowmiya ◽  
K. Kalaiselvi
Author(s):  
Diego Rivera ◽  
Luis Cruz-Piris ◽  
German Lopez-Civera ◽  
Enrique de la Hoz ◽  
Ivan Marsa-Maestre

2009 ◽  
pp. 712-728
Author(s):  
Zhiyong Weng ◽  
Thomas Tran

This article proposes a mobile intelligent agentbased e-business architecture that allows buyers and sellers to perform business at remote locations. An e-business participant can generate a mobile, intelligent agent via some mobile devices (such as a personal digital assistant or mobile phone) and dispatch the agent to the Internet to do business on his/her behalf. This proposed architecture promises a number of benefits: First, it provides great convenience for traders as business can be conducted anytime and anywhere. Second, since the task of finding and negotiating with appropriate traders is handled by a mobile, intelligent agent, the user is freed from this time-consuming task. Third, this architecture addresses the problem of limited and expensive connection time for mobile devices: A trader can disconnect a mobile device from its server after generating and launching a mobile intelligent agent. Later on, the trader can reconnect and call back the agent for results, therefore minimizing the connection time. Finally, by complying with the standardization body FIPA, this flexible architecture increases the interoperability between agent systems and provides high scalability design for swiftly moving across the network.


Author(s):  
Awais Qasim ◽  
Zeeshan Aziz ◽  
Syed Asad Raza Kazmi ◽  
Adnan Khalid ◽  
Ilyas Fakhir ◽  
...  

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