| Author | Hamdi, Mohamed Salah | en_US |
| Available date | 2009-12-30T06:15:35Z | en_US |
| Publication Date | 2006-01-30 | en_US |
| 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 | 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 |
