MASACAD: a multiagent based approach to information customization

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MASACAD: a multiagent based approach to information customization

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dc.contributor.author Hamdi, Mohamed Salah
dc.date.accessioned 2009-12-30T06:15:35Z
dc.date.available 2009-12-30T06:15:35Z
dc.date.issued 2006-01-30
dc.identifier.citation Volume: 21 , Issue: 1 en_US
dc.identifier.uri http://dx.doi.org/10.1109/MIS.2006.14
dc.identifier.uri http://hdl.handle.net/10576/10580
dc.description.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
dc.language.iso en en_US
dc.subject Web mining en_US
dc.subject academic advising en_US
dc.subject expert systems en_US
dc.subject information customization en_US
dc.subject multiagents en_US
dc.subject neural networks en_US
dc.title MASACAD: a multiagent based approach to information customization en_US
dc.type Article en_US

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