MASACAD: a multiagent based approach to information customization

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Author Hamdi, Mohamed Salah en_US
Available date 2009-12-30T06:15:35Z en_US
Publication Date 2006-01-30 en_US
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 en_US
URI http://dx.doi.org/10.1109/MIS.2006.14 en_US
URI http://hdl.handle.net/10576/10580 en_US
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. en_US
Language en en_US
Publisher IEEE en
Subject Web mining en_US
Subject academic advising en_US
Subject expert systems en_US
Subject information customization en_US
Subject multiagents en_US
Subject neural networks en_US
Title MASACAD: a multiagent based approach to information customization en_US
Type Article en_US


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