MASACAD: a multiagent based approach to information customization
Author | Hamdi, Mohamed Salah |
Available date | 2009-12-30T06:15:35Z |
Publication Date | 2006-01-30 |
Publication Name | IEEE Intelligent Systems |
Citation | Hamdi, M.S., "MASACAD: a multiagent based approach to information customization," Intelligent Systems, IEEE , vol.21, no.1, pp.60-67, Jan.-Feb. 2006 |
Abstract | MASACAD is a multiagent information customization system that adopts the machine-learning paradigm to advise students by mining the Web. In the distributed problem-solving paradigm, systems can distribute among themselves the processes necessary to accomplish a given task. Given the number of problems that distributed processing can address, AI researchers have directed significant effort toward developing specialized problem-solving systems that can interact in their search for a solution. The multiagent-system paradigm embodies this approach. |
Language | en |
Publisher | IEEE |
Subject | Web mining academic advising expert systems information customization multiagents neural networks |
Type | Article |
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