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 |
URI | http://dx.doi.org/10.1109/MIS.2006.14 |
URI | http://hdl.handle.net/10576/10580 |
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 |
Subject | academic advising |
Subject | expert systems |
Subject | information customization |
Subject | multiagents |
Subject | neural networks |
Title | MASACAD: a multiagent based approach to information customization |
Type | Article |