Title :
MASACAD: a multiagent based approach to information customization
Author :
Hamdi, Mohamed Salah
Author_Institution :
Dept. of Comput. Sci., Qatar Univ., Doha, Qatar
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.
Keywords :
Internet; data mining; educational administrative data processing; learning (artificial intelligence); multi-agent systems; problem solving; MASACAD; Web mining; academic advising; distributed problem-solving paradigm; distributed processing; machine-learning paradigm; multiagent system information customization system; students advising; Artificial intelligence; Distributed processing; Electronic learning; Investments; Law; Learning systems; Legal factors; Machine learning; Multiagent systems; Problem-solving; Web mining; academic advising; expert systems; information customization; multiagents; neural networks;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2006.14
